Beyond Classification: Elaborating Network Predictions for Better Weakly Supervised Quantization

Chih-Chieh Chen, Chang-Fu Kuo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1-20

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Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation

Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, Zhaolin Chen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:21-35

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Beyond Machine Interpretation: Learning from Expert Over-Reads Improves ECG Diagnosis

Sunwoo Kwak, Fengbei Liu, Nusrat B. Nizam, Ilan Richter, Nir Uriel, Peter M. Okin, Mert R. Sabuncu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:36-55

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MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields

Paul Friedrich, Florentin Bieder, Julian McGinnis, Julia Wolleb, Daniel Rueckert, Philippe C. Cattin; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:56-87

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning

Vincent Ochs, Christoph Kuemmerli, Florentin Bieder, Julia Wolleb, Joël L. Lavanchy, Julia Ruppel, Jan Liechti, Stephanie Taha-Mehlitz, Christian Andreas Nebiker, Beat Müller, Giuseppe Kito Fusai, Joerg-Matthias Pollok, Anas Taha, Philippe C. Cattin, Sebastian Staubli; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:88-106

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Cross-Domain Semi-Supervised Organ Detection

Nian Li, Morteza Ghahremani, Bailiang Jian, Pascual Tejero Cervera, Benedikt Wiestler, Marcus Makowski, Christian Wachinger; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:107-120

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Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification

Chao Wu, Mingchen Gao; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:121-152

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GeoReg: Direct biplanar DSA-to-CTA registration with geodesic consistency for acute ischemic stroke

Rudolf L. M. van Herten, Robert Graf, Felix Bitzer, Jan S. Kirschke, Johannes C. Paetzold; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:153-171

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CARE: Confidence-aware Ratio Estimation for Medical Biomarkers

Jiameng Li, Teodora Popordanoska, Aleksei Tiulpin, Sebastian G. Gruber, Frederik Maes, Matthew B. Blaschko; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:172-197

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FunnyNodules: A Customizable Medical Dataset Tailored for Evaluating Explainable AI

Luisa Gallée, Yiheng Xiong, Meinrad Beer, Michael Götz; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:198-214

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Machine-Learning Based Detection of Coronary Artery Calcification Using Synthetic Chest X-Rays

Dylan Saeed, Ramtin Gharleghi, Susann Beier, Sonit Singh; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:215-231

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D$^2$-Former: Mixture-Of-Experts Guided Dual Transformer for Multi-Scale Medical Image Segmentation

Md Sohag Mia, Aya Taourirte, Muhammad Abdullah Adnan, Wenlong Ming; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:232-255

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PAGET: Hierarchical Multi-Teacher Knowledge Distillation for Comprehensive Tumor Microenvironment Segmentation

Daisuke Komura, Maki Takao, Mieko Ochi, Takumi Onoyama, Hiroto Katoh, Hiroyuki Abe, Hiroyuki Sano, Teppei Konishi, Toshio Kumasaka, Tomoyuki Yokose, Yohei Miyagi, Tetsuo Ushiku, Shumpei Ishikawa; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:256-279

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OxEnsemble: Fair Ensembles for Low-Data Classification

Jonathan Rystrøm, Zihao Fu, Chris Russell; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:280-307

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DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations

Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez, Paul Wright, Mehmet Yigitsoy, Sebastien Ourselin, Jorge Cardoso; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:308-321

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Orientation Normalization of Multi-Stain Skin Tissue Cross-Sections

Ema Topolnjak, Evi Paulides, Willeke A. M. Blokx, Mitko Veta, Ruben T. Lucassen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:322-341

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Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis

Hongmei Wang, Junlin Hou, Sunan He, Shu Yang, Hao Chen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:342-359

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Seeing Down the Line: Endoscopic Reconstruction with Centerline Constraints

Andrea Dunn Beltran, Romain Hardy, Pranav Rajpurkar; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:360-378

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RVO-MIS: Robust Visual Odometry for Minimally Invasive Surgery

Zhuo Wang, Chiang-Heng Chien, Eungjoo Lee; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:379-399

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LabelG: Consistent Pairwise 3D CT Image and Segmentation Mask Generation via Medical Foundation Models

Lu-Yan Wang, Tzung-Dau Wang, Shang-Hong Lai; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:400-413

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DiffTAC: Temporal-Conditioned Latent Diffusion with Integrated Attention for Intermediate Frame Generation and Temporal Super-Resolution in Cardiac MRI

Shilajit Banerjee, Aniruddha Sinha; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:414-432

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SoftCAM: Making black box models self-explainable for medical image analysis

Kerol Djoumessi, Philipp Berens; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:433-467

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MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata

Yihao Liu, Chenyu Gao, Lianrui Zuo, Michael E. Kim, Brian D. Boyd, Lisa L. Barnes, Walter A. Kukull, Lori L. Beason-Held, Susan M. Resnick, Timothy J. Hohman, Warren D. Taylor, Bennett A. Landman; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:468-487

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SCR$^2$-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning

Junchao Zhu, Ruining Deng, Junlin Guo, Tianyuan Yao, Chongyu Qu, Juming Xiong, Siqi Lu, Zhengyi Lu, Yanfan Zhu, Marilyn Lionts, Yuechen Yang, Yalin Zheng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:488-509

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Context-Aware Patch Representations for Multiple Instance Learning

Andreas Lolos, Theofilos Christodoulou, Aris L. Moustakas, Stergios Christodoulidis, Maria Vakalopoulou; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:510-543

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StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology

Jiawen Li, Jiali Hu, Xitong Ling, Yongqiang Lv, Yuxuan Chen, Yizhi Wang, Tian Guan, Yifei Liu, Yonghong He; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:544-569

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OmniNet: A Multi-Modality Neural Network for Robust Remote Respiratory Rate Measurement from Facial Video

Tsai-Ni Lin, An-Sheng Liu, Li-Chen Fu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:570-593

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Vector Quantization for Reversed Disease Progression: Further Investigations

Chih-Chieh Chen, Chang-Fu Kuo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:594-619

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Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation

Feiyang Xiao, Yichi Zhang, Xigui Li, Yuanye Zhou, Chen Jiang, Xin Guo, Limei Han, Yuxin Li, Fengping Zhu, Yuan Cheng; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:620-636

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UM–ProtoShare: UNet-Guided, Multi-scale Shared Prototypes for Interpretable Brain Tumour Classification Using Multi-sequence 3D MRI

Ali Golbaf, Vivek Singh, Swen Gaudl, Emmanuel Ifeachor; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:637-669

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Quantitative Pose-Based Analysis of Movement Disorders in Pediatric NGLY1 and SLC13A5 Patients

Chengliang Dai, Phil Scordis, Prathyusha Teeyagura, Rayann M. Solidum, Jeff Broderick, Julia Broderick, Jane Broderick, Brenda E. Porter; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:670-684

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FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning

Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim, Kundan Thind, Dongxiao Zhu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:685-700

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Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning

Chenjun Li, Cheng Wan, Laurin Lux, Alexander H. Berger, Richard B. Rosen, Martin J. Menten, Johannes C. Paetzold; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:701-725

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TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models

Tim Veenboer, George Yiasemis, Eric Marcus, Vivien van Veldhuizen, Cees G. M. Snoek, Jonas Teuwen, Kevin B. W. Groot Lipman; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:726-753

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Conditional Learned Reconstruction for Medical Imaging

Nikita Moriakov, George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:754-780

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Brain Tumor Growth Inversion via Differentiable Neural Surrogates

Jonas Weidner, Lucas Zimmer, Ivan Ezhov, Michal Balcerak, Björn Menze, Daniel Rückert, Benedikt Wiestler; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:781-800

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ICL-NoiseUNet - A Novel In-Context Learning Based Framework For Ultrasound Segmentation With Adaptive Noise Modulation

Ioannis Charisiadis, Ilyass el Allali, Richard G. P. Lopata, Clara I. Sánchez, Navchetan Awasthi; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:801-826

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WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning

Mert Sonmezer, Serge Vasylechko, Duygu Atasoy, Seyda Ertekin, Sila Kurugol; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:827-846

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RandP: Effective and Efficient Medical Visual In-Context Learning via a Retrieve-and-Propagate Module for Prompt-Query Fusion

Rongge Mao, Han Li, Chengqi Dong, Nassir Navab, S Kevin Zhou; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:847-867

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CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation

Shantam Srivastava, Mahesh Bhosale, David Doermann, Mingchen Gao; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:868-893

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nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection

Alexandra Ertl, Stefan Denner, Robin Peretzke, Shuhan Xiao, David Zimmerer, Maximilian Fischer, Markus Bujotzek, Xin Yang, Peter Neher, Fabian Isensee, Klaus H. Maier-Hein; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:894-927

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UltraG-Ray: Physics-Based Gaussian Ray Casting for Novel Ultrasound View Synthesis

Felix Duelmer, Jakob Klaushofer, Magdalena Wysocki, Nassir Navab, Mohammad Farid Azampour; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:928-946

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CatVLM: Enhancing Temporal Understanding in Cataract Surgery Videos with Boundary-Aware VLM

Jay N. Paranjape, Nisarg Shah, Nanthini Narayanan, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:947-959

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Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT

Matan Atad, Alexander W. Marka, Lisa Steinhelfer, Anna Curto-Vilalta, Yannik Leonhardt, Sarah C. Foreman, Anna-Sophia Walburga Dietrich, Robert Graf, Alexandra S. Gersing, Bjoern Menze, Daniel Rueckert, Jan S. Kirschke, Hendrik Moeller; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:960-988

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SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation

Bo Shi, Wei-ping Zhu, M.N.S Swamy; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:989-1003

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Guideline-Informed MLLM Reasoning for Pathology-Aware Postoperative Prostate CTV Segmentation

Yinhao Wu, Hengrui Zhao, Haiqing Li, Wenliang Zhong, Hehuan Ma, Yuzhi Guo, Dan Nguyen, Daniel Yang, Steve Jiang, Junzhou Huang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1004-1028

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Uncertainty-aware Cycle Diffusion Model for Fair Glaucoma Diagnosis

Ziheng Wang, Shuran Yang, Yan Lin, Wenrui Zang, Yanda Meng; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1029-1043

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Flow Matching for 3D Craniofacial Skeletal Data Generation

Giacomo Melacini, Stefano Mazzocchetti, Giuseppe Lisanti, Luigi Di Stefano, Samuele Salti; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1044-1064

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Towards Effective Surgical Representation Learning with DINO Models

Ronald L.P.D. de Jong, Yiping Li, Tim J.M. Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper, Franco Badaloni, Richard van Hillegersberg, Jelle P. Ruurda, Fons van der Sommen, Josien P.W. Pluim, Marcel Breeuwer; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1065-1080

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Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaptation of Medical Image Segmentation

Thomas Pinetz, Veit Hucke, Hrvoje Bogunović; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1081-1094

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MID-POSE: Multi-Instrument Detection and Pose Estimation in Endoscopic Surgery

Wenhua Wei, Laurent Mennillo, Zhehua Mao, Anjana Wijekoon, Kendall Feeny, Danyal Zaman Khan, Evangelos B. Mazomenos, Danail Stoyanov, Hani J. Marcus, Sophia Bano; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1095-1114

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Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation

Wesam Moustafa, Hossam Elsafty, Helen Schneider, Lorenz Sparrenberg, Rafet Sifa; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1115-1136

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Discriminative Self-Supervised Pre-Training for Esophagitis Detection in Upper GI Endoscopy Images

Tobias Friedetzki, Naveen Chandraiah, Emil Svoboda, Pavel Pecina, Frank Puppe, Adrian Krenzer; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1137-1152

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From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis

Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert, Johannes C. Paetzold; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1153-1177

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MCMA-Net++: Topology-Aware and Graph-Driven Glioma Segmentation in 3D MRI

Jihan Alameddin, Céline Thomarat, Rémy Guillevin, Christine Fernandez-Maloigne, Carole Guillevin; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1178-1192

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A Deep Learning-Enabled Digital Twin Framework for Fast Online Adaptive Proton Therapy: A Validation Study in A Prostate SBRT Clinical Application

Chih-Wei Chang, Mojtaba Safari, Sri Sai Akkineni, Mingzhe Hu, Keyur D. Shah, Pretesh Patel, Ashesh B. Jani, Greeshma Agasthya, Jun Zhou, Xiaofeng Yang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1193-1216

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Hyperbolic U-Net for Robust Medical Image Segmentation

Swasti S. Mishra, Max van Spengler, Erwin Berkhout, Pascal Mettes; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1217-1251

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Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images

Rajalakshmi Palaniappan, Christoph Karg, Nemesio Navarro-Arambula, Peter Hirsch, Dagmar Kainmueller, Lisa Mais; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1252-1284

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End-to-End Co-Optimization of Adaptive $k$-space Sampling and Reconstruction for Dynamic MRI

George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1285-1324

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Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis

Umar Marikkar, Muhammad Awais, Sara Atito; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1325-1345

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BETA: Resting-state fMRI Biotypes for tDCS Efficacy in Anxiety Among Older Adults At Risk For Alzheimer’s Disease

Skylar E. Stolte, Junfu Cheng, Chintan Acharya, Lin Gu, Andrew O’Shea, Aprinda Indahlastari, Adam J. Woods, Ruogu Fang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1346-1374

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Does Grounding Improve Radiology Report Generation? An Empirical Study on PadChest-GR

Mohamed Aas-Alas, Alberto Albiol, Roberto Paredes; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1375-1391

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Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI

Hadas Ben Atya, Nicole Abramenkov, Noa Mashiah, Luise Brock, Daphna Link Sourani, Ram Weiss, Moti Freiman; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1392-1406

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Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations

Tianyi Ren, Daniel Low, Rachel Xiang, Pittra Jaengprajak, Juampablo Heras Rivera, Riley Olson, Jacob Ruzevick, Mehmet Kurt; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1407-1421

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NISF$++$: Geometrically-grounded implicit representations of 3D$+$time cardiac function from 2D short- and long-axis MR views

Nil Stolt-Ansó, Maik Dannecker, Steven Jia, Julian McGinnis, Daniel Rueckert; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1422-1444

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BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features

Juampablo E. Heras Rivera, Dickson T. Chen, Tianyi Ren, Daniel K. Low, Jacob Ruzevick, Asma Ben Abacha, Alberto Santamaria-Pang, Mehmet Kurt; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1445-1472

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Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling

Maik Dannecker, Steven Jia, Nil Stolt-Ansó, Nadine Girard, Guillaume Auzias, François Rousseau, Daniel Rueckert; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1473-1491

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SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation

Aswathi Varma, Jonas Weidner, Laurin Lux, Cosmin Bercea, Mark Mühlau, Jan Kirschke, Benedikt Wiestler, Daniel Rueckert; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1492-1508

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A-ADAPT: Adaptive Intracranial Artery Segmentation with Morphology-Guided Prompts and Difficulty-Aware Learning

Zhiwei Tan, Xin Wang, Meng Wang, Zixuan Liu, Yin Guo, Jiamin Xia, Niranjan Balu, Linda Shapiro, Chun Yuan, Mahmud Mossa-Basha; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1509-1522

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A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation

Yiyou Sun, Zheyao Gao, Xiaogen Zhou, Qi Dou, Winnie Chiu Wing Chu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1523-1538

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One-by-One Stainer: A Fast and Hallucination Resilient Domain Adaptation Method for Histopathology

Karel Moens, Jonas De Vylder, Tinne Tuytelaars, Matthew B. Blaschko; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1539-1564

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NeuroLangSeg: Language-Guided Subcortical Segmentation with Pseudo-Supervision and Anatomical–Linguistic Validation

Ruiying Liu, Jialu Liu, Xuzhe Zhang, Chuang Huang, Yun Wang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1565-1597

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LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays

Mingze Jiang, Xueyang Li, John Kheir, Alec Girten, Yiyu Shi; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1598-1617

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Temporal Memory Enhancement for Semantic Segmentation in Surgical Video

Zheyao Gao, Qian Wu, Yueyao Chen, Cheng Chen, Hon Chi Yip, Winnie Chiu Wing Chu, Qi Dou; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1618-1636

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Rendering with a Gut Feeling: Depth-Guided Triangle Splatting for Physically Consistent Colonoscopic Reconstruction

Romain Hardy, Andrea Dunn Beltran, Todd A. Brenner, Tyler M. Berzin, Pranav Rajpurkar; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1637-1655

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MILCA: Malaria Parasite Detection from Sample-Level Weak Labels

Petru Manescu, Delmiro Fernandez-Reyes; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1656-1674

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Endo-SemiS: Towards Robust Semi-Supervised Image Segmentation for Endoscopic Video

Hao Li, Daiwei Lu, Xing Yao, Nicholas Kavoussi, Ipek Oguz; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1675-1696

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EndoStreamDepth: Temporally Consistent Monocular Depth Estimation for Endoscopic Video Streams

Hao Li, Daiwei Lu, Jiacheng Wang, Robert J. Webster, Ipek Oguz; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1697-1721

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Landmark Detection Uncertainty as a Reliability Weight for Robust Landmark-based 2D/3D Pelvic Pose Estimation

Yehyun Suh, Brayden Schott, Chou Mo, J. Ryan Martin, Daniel Moyer; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1722-1739

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X-Cardia: Phenotype-Guided Cross-Modal Alignment for Opportunistic Cardiac Screening on Routine Chest CT

Nusrat Binta Nizam, Fengbei Liu, Sunwoo Kwak, Ilan Richter, Jayant K Raikhelkar, Ashley Beecy, Nir Uriel, Deborah Estrin, Mert R Sabuncu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1740-1767

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HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis

Fengbei Liu, Sunwoo Kwak, Hao Phung, Nusrat Binta Nizam, Ilan Richter, Nir Uriel, Hadar Averbuch-Elor, Deborah Estrin, Mert R. Sabuncu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1768-1801

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FutureMorph: Toward Predicting Future Deformation Fields in Longitudinal Imaging

Samah Khawaled, Mert R. Sabuncu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1802-1820

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CyclePhase: Robust phase detection in cardiovascular imaging through cyclic motion estimation

Soufiane Ben Haddou, Rudolf L. M. van Herten, Connie R. Bezzina, R. Nils Planken, Joost Daemen, Jolanda J. Wentzel, José P. Henriques, Ivana Išgum; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1821-1839

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Unpaired Multimodal Learning for Biological Datasets

Zongliang Ji, Cian Eastwood, Anna Goldenberg, Paul Pu Liang, Jason Hartford, Rahul G. Krishnan, Emmanuel Noutahi; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1840-1868

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REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction

Seowung Leem, Lin Gu, Chenyu You, Kuang Gong, Ruogu Fang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1869-1889

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MedKamba: A Novel Approach Integrating State-Space Models and Fractional Kolmogorov–Arnold Networks for Medical Image Segmentation

Amit Shakya, Akanksha Yadav, Rupesh Kumar, Lalit Sharma; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1890-1902

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Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections

Max Kirchner, Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Oliver L. Saldanha, Jakob N. Kather, Martin Wagner, Stefanie Speidel; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1903-1934

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RadVLM-GRPO: Enhancing Chest X-ray Report Generation and Visual Grounding via Reinforcement Learning

Benjamin Gundersen, Nicolas Deperrois, Samuel Ruiperez-Campillo, Thomas M. Sutter, Julia E. Vogt, Michael Moor, Farhad Nooralahzadeh, Michael Krauthammer; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1935-1968

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T1-PILOT: Physics-Informed Learned Optimized Trajectories for T1 Mapping Acceleration

Tamir Shor, Moti Freiman, Chaim Baskin, Alex Bronstein; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1969-1982

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SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods

Nina Weng, Eike Petersen, Alceu Bissoto, Susu Sun, Lisa M. Koch, Aasa Feragen, Siavash Bigdeli, Christian F. Baumgartner; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:1983-2002

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Tagged-Informed Prior for Motion Quantification in Cine CMR Using Implicit Neural Representations

Laura Alvarez-Florez, Soufiane Ben Haddou, Fleur V. Y. Tjong, Ivana Igum; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2003-2018

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Beyond Diffusion: Consistency Models for One-Step, High-Fidelity MRI Reconstruction

Mary-Brenda Akoda, Chen Qin; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2019-2037

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Decoupling Vision and Reasoning: A Data-Efficient Pipeline for Surgical VQA

Mohamed Hamdy, Fatmaelzahraa Ali Ahmed, Muraam Abdel-Ghani, Muhammad Arsalan, Ponnuthurai Nagaratnam Suganthan, Khalid Al-Jalham, Abdulaziz Al-Ali, Shidin Balakrishnan; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2038-2056

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ECT-3DMedSAM: Efficient Cross Teaching Using Segment Anything Model for Semi-Supervised 3D Medical Image Segmentation

Zhewen Huang, Sara R. Guariglia, Jiaqi Yang, Chia-Ling Tsai; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2057-2070

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MultiPersistence Topological Fusion with Vision Transformers for Skin Cancer Detection

Fulya Tastan, Sayoni Chakraborty, Sangyeon Lee, Baris Coskunuzer; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2071-2096

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Quantum-Inspired Orthonormal CNN for Energy-Efficient Medical Image Denoising

Sayantan Dutta; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2097-2117

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Test-Time Scaling in Clinical Decision Making

Ji Young Byun, Young-Jin Park, Navid Azizan, Rama Chellappa; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2118-2142

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CardAIc-Agents: A Multimodal Framework with Hierarchical Adaptation for Cardiac Care Support

Yuting Zhang, Karina V. Bunting, Asgher Champsi, Xiaoxia Wang, Wenqi Lu, Alexander Thorley, Sandeep S Hothi, Zhaowen Qiu, Baturalp Buyukates, Dipak Kotecha, Jinming Duan; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2143-2170

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Adaptive Inference for Medical Vision Transformers: Token Reduction or Early Exit?

Ji Young Byun, HyunSeo Lee, Jordan Shuff, Rengaraj Venkatesh, Nakul S. Shekhawat, Kunal S. Parikh, Rama Chellappa; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2171-2191

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CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images

Matias Cosarinsky, Nicolas Gaggion, Rodrigo Echeveste, Enzo Ferrante; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2192-2207

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Evidential Retriever: Uncertainty-Aware Medical Image Retrieval

Sai Susmitha Arvapalli, Vinay P. Namboodiri; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2208-2232

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What Fine-Tuning Changes: A Radiomic Lens on Prostate Foundation Model Representations

Yipei Wang, Yaxi Chen, Wen Yan, Natasha Thorley, Alexander Ng, Dean C. Barratt, Daniel C. Alexander, Shonit Punwani, Mark Emberton, Veeru Kasivisvanathan, Yipeng Hu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2233-2247

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EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors

Pengwei Wang, José Morano, Qian Wan, Hrvoje Bogunović; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2248-2264

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GenVOG-DiT: A Transformer-Based Diffusion Model for Pose-Driven, Patient-Agnostic Nystagmus VOG Video Generation

Aimon Rahman, Kemar E. Green, Vishal M. Patel; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2265-2282

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Real-Time Novel-View Freehand Ultrasound Imaging via Point-Cloud Rendering and Diffusion-Bridge Completion

Hanrui Shi, Boris Mailhé, Zheyuan Zhang, Yikang Liu, Xiao Chen, Ankush Mukherjee, Terrence Chen, Shanhui Sun; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2283-2296

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Clinical Risk-Aware Multi-Level Grading for Coronary Artery Stenosis through Curved Feature Reconstruction

Shishuang Zhao, Hongtai Li, Junjie Hou, Yuhang Liu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2297-2310

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Ultra-ECP: Ellipse-Constrained and Point-Robust Foundation Model Adaptation for Fetal Cardiac Ultrasound Segmentation

Minh H. N. Le, Khanh T. Q. Le, Tuan Vinh, Thanh-Huy Nguyen, Han H. Huynh, Khoa D. Pham, Anh Mai Vu, Hien Q. Kha, Phat K. Nguyen, Ulas Bagci, Min Xu, Carl Yang, Phat K. Huynh, Nguyen Quoc Khanh Le; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2311-2320

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Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection

Shiwan DI, Jupeng LI, Yuxuan YANG, Qian JIN, Guorui AN, Jingwen YANG, Yue WANG, Yong GUO, Xinyue ZHANG, Ruohan MA, Gang LI; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2321-2337

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UnEBOLT: A Unified Model for EEG-to-BOLD Translation and Functional Connectivity Reconstruction

Yamin Li, Ange Lou, Chang Li, Shiyu Wang, Haatef Pourmotabbed, Ziyuan Xu, Shengchao Zhang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2338-2351

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A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis

Yuli Wu, Fucheng Liu, Rüveyda Yilmaz, Henning Konermann, Peter Walter, Johannes Stegmaier; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2352-2368

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Breaking the Memory Barrier: Efficient Multi-Class 3D Segmentation for Hundreds of Classes

Olivier Jaubert, William Traynor, Shadia Mikhael, John H. Hipwell, Sonia Dahdouh; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2369-2387

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Sparse Subspace Diffusion Model for Physically Consistent Accelerated MRI Reconstruction

Xiangyao Deng, Zhiqiang Shen, Sanuwani Dayarathna, Juan P. Meneses, Sergio Uribe, Zhaolin Chen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2388-2403

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Aloe-Vision: Robust Vision-Language Models for Healthcare

Jaume Guasch-Martí, Enrique Lopez-Cuena, Martín Suárez-Fernández, Jordi Bayarri-Planas, Anna Arias-Duart, Dario Garcia-Gasulla; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2404-2426

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ResDCE-diff : Dynamic contrast enhanced MRI translation in prostate cancer using residual denoising diffusion models

Kishore Kumar, Sriprabha Ramanarayanan, Keerthi Ram, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2427-2446

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Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation

Yousef Sadegheih, Dorit Merhof, Pratibha Kumari; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2447-2460

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INFORM-CT: INtegrating LLMs and VLMs FOR Incidental Findings Management in Abdominal CT

Idan Tankel, Nir Mazor, Rafi Brada, Christina Lebedis, Guy Ben-Yosef; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2461-2473

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RNCA: Self-Repairing Segmentation Masks

Malte Silbernagel, Albert Alonso, Jens Petersen, Bulat Ibragimov, Marleen de Bruijne, Madeleine K. Wyburd; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2474-2495

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Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement

Zhicheng He, Yibing Fu, Yueming Jin; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2496-2513

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On the Feasibility of Fréchet Radiomic Distance–Constrained Adversarial Examples in Medical Imaging: Methods and Trade-offs

Mohamed Mahmoud, Shehab Khaled, Mohamed Elkhayat, Jamil Fayyad; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2514-2528

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Heterogeneous Aligned Fusion for Survival Classification with Missing Modalities

Zheng Zheng, Yuzhi Guo, Xiao Hu, Yuwei Miao, Hehuan Ma, Jean Gao, Junzhou Huang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2529-2546

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Exploring Entropy-based Active Learning for Fair Brain Segmentation

Ghazal Danaee, Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert, Sylvain Bouix; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2547-2562

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Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing

Yuechen Yang, Junlin Guo, Ruining Deng, Junchao Zhu, Zhengyi Lu, Chongyu Qu, Yanfan Zhu, Xingyi Guo, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2563-2581

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AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning

Chongyu Qu, Zhengyi Lu, Yuxiang Lai, Thomas Z. Li, Junchao Zhu, Junlin Guo, Juming Xiong, Yanfan Zhu, Yuechen Yang, Allen J. Luna, Kim L. Sandler, Bennett A. Landman, Yuankai Huo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2582-2601

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MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI

Zhengyi Lu, Ming Lu, Chongyu Qu, Junchao Zhu, Junlin Guo, Marilyn Lionts, Yanfan Zhu, Yuechen Yang, Tianyuan Yao, Jayasai Rajagopal, Bennett Allan Landman, Xiao Wang, Xinqiang Yan, Yuankai Huo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2602-2620

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VFMStitch: A Vision-Foundation-Model Empowered Framework for 3D Ultrasound Stitching via Geometric–Semantic Feature Fusion

Xing Yao, Nick DiSanto, Runxuan Yu, Jiacheng Wang, Daiwei Lu, Gabriel Arenas, Baris Oguz, Alison Pouch, Nadav Schwartz, Brett C Byram, Ipek Oguz; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2621-2639

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Attention-to-Survival: Multimodal Fracture Risk Prediction Based on Pelvic Radiographs and Clinical Data from the Study of Osteoporotic Fractures

Niklas C. Koser, Marten J. Finck, Silja Janßen, Coenraad Mouton, Li-Y. Lui, Steven R. Cummings, Kevin Köser, Jan-B. Hövener, Sören Pirk, Claus-C. Glüer; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2640-2665

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From Surface to Viscera: 3D Estimation of Internal Anatomy from Body Surface Point Clouds

Salih Furkan Atici, Eytan Kats, Daniel Mensing, Mattias P Heinrich; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2666-2681

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Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis

Samuel Halimi, Loic Themyr, Arnaud Abreu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2682-2710

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Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models

Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2711-2737

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Calibration-Aware Semi-Supervised Fetal Head Segmentation with Boundary-Positive Contrast

Ufaq Khan, Umair Nawaz, Tajamul Ashraf, Tausifa Jan Saleem, Massimo Caputo, Srinivas Ananth Narayan, Muhammad Bilal, Junaid Qadir, Muhammad Haris; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2738-2756

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MoA: Mixture of Aggregators Improves Slide-Level Diagnosis in Computational Pathology

Fatih Ozlugedik, Muhammed Furkan Dasdelen, Rao Muhammad Umer, Carsten Marr; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2757-2779

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Beyond Natural Images: A Dual-Stream DINOv3 Framework for PET/CT Segmentation

Yu-Nong Scarlett Lin, Shansong Wang, Mojtaba Safari, Xiaofeng Yang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2780-2794

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Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases

Clemens Watzenböck, Daniel Aletaha, Michaël Deman, Thomas Deimel, Jana Eder, Ivana Janı́čková, Robert Janiczek, Peter Mandl, Philipp Seeböck, Gabriela Supp, Paul Weiser, Georg Langs; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2795-2817

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Non-invasive estimation of haemodynamic parameters in pulmonary hypertension — A deep learning approach integrating all B-mode cine loops in an echocardiographic exam

Li-Hsin Cheng, Samer Alabed, Athanasios Charalampopoulos, Ze Ming Goh, Abdul Hameed, Eduard Holman, David G. Kiely, Mahan Salehi, Andrew J. Swift, Rob J. van der Geest; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2818-2833

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Semi-Synthetic Localization Datasets for Radiological Findings on Chest X-Rays

Andrea Posada, Johannes Brandt, Friederike Jungmann, Maria Posada, Daniel Rueckert, Martin J. Menten, Felix Meissen, Philip Müller; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2834-2863

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Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models

Konstantinos Vilouras, Ilias Stogiannidis, Junyu Yan, Alison Q. Smithard, Sotirios A. Tsaftaris; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2864-2892

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ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation

Khang Le, Ha Thach, Anh M. Vu, Trang T. K. Vo, Han H. Huynh, David Yang, Minh H. N. Le, Thanh-Huy Nguyen, Akash Awasthi, Chandra Mohan, Zhu Han, Hien Van Nguyen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2893-2905

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CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction

Rustin Soraki, Huayu Wang, Sitong Liu, Joann G. Elmore, Linda Shapiro; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2906-2921

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PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage

Amar Kumar, Zahra TehraniNasab, Emily Kaczmarek, Tal Arbel; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2922-2940

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From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression

Luoting Zhuang, Linh M. Tran, Yunzheng Zhu, Ashley E. Prosper, William Hsu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2941-2957

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A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding

Christina Liu, Alan Q. Wang, Joy Hsu, Jiajun Wu, Ehsan Adeli; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2958-2986

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Automated Quality Assessment of Blind Sweep Obstetric Ultrasound for Improved Diagnosis

Prasiddha Bhandari, Kanchan Poudel, Nishant Luitel, Bishram Acharya, Angelina Ghimire, Tyler Wellman, Kilian Koepsell, Pradeep Raj Regmi, Bishesh Khanal; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2987-2997

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ALO: Addressing Class Imbalance in Radiology Report Generation through Anatomy-Level Oversampling

Lukas Buess, Robert Kurin, Adarsh Bhandary Panambur, Tomas Arias-Vergara, Andreas Maier; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:2998-3017

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Enforcing 3D Coherence in Semi-Supervised Segmentation for Pancreatic Tumor Histopathology from Light Sheet Fluorescence Microscopy

Yousif Hashisho, Diana Pinkert-Leetsch, Jeannine Missbach-Guentner; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3018-3035

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RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering

Léo Butsanets, Charles Corbière, Julien Khlaut, Pierre Manceron, Corentin Dancette; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3036-3068

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Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models

Tai Le Gia, Jaehyun Ahn; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3069-3088

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Robust Multi-Scale Implicit Neural Representations for Large-Deformation Lung Registration

Johannes B. Gebauer, Maximilian Nielsen, Frederic Madesta, René Werner, Thilo Sentker; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3089-3102

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Evidential DualU-Net: Single-Pass Uncertainty for Cell Instance Segmentation

David Anglada-Rotger, Ferran Marques, Montse Pardàs; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3103-3130

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Learning Structure-Aware Foundational Representation of Rat Testicular Tubules Using Multiple Instance Learning

Vedang Kshirsagar, Saketh Juturu, Geetank Raipuria, Nitin Singhal; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3131-3151

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Anatomical Longitudinal Cortical Surface Registration

Aakash Saboo, Ashleigh Davies, Nashira Baena, Kaili Liang, Jiaxin Xiao, Yourong Guo, Renato Basenczi, Jonathan O’Muircheartaigh, Emma Robinson; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3152-3173

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TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation

Ashim Dhor, Abhirup Banerjee, Tanmay Basu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3174-3207

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No Evidence of Disease: Clinically-Risky Adversarial Chest CT Report Generation

Samra Irshad, Junho Kim, Seong Tae Kim; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3208-3229

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Geometry-Aware Depth-Guided Explainable Multimodal Polyp Size Estimation: A Fusion Model Beyond RGB

Krispian Lawrence, Usha Goparaju, Luis Lamb; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3230-3244

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Efficient Self-Supervised Adaptation of 3D Abdominal Vision-Language Model for Institution-Specific HCC Classification via Full Fine-Tuning and PEFT

Febryan Putra Kartika, Cheng-Yu Ma, Ying-Jia Lin, Chi-Tung Cheng, Kuan-Fu Chen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3245-3269

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More is more: leveraging multi-rater information for whole slide images grading via virtual expert panel

Jan Grove, Michel Botros, Ylva A Weeda, Clara I. Sánchez, Erik Bekkers, Sybren L Meijer, Hoel Kervadec; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3270-3282

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Explainable HCC Diagnosis on Dynamic Contrast-Enhanced MRI with a Li-RADS Concept Bottleneck

Killian Monnin, Patrick Jeltsch, Lucia Fernandes-Mendes, Vasco Cazzagon, Murat Yüce, Vivek Yadav, Mario Jreige, Marianna Gulizia, Montserrat Fraga Christinet, Raphaël Girardet, Clarisse Dromain, Bachir Taouli, Naïk Vietti-Violi, Jonas Richiardi; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3283-3313

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Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling

Sander Moonemans, Sebastiaan Ram, Frédérique Meeuwsen, Carlijn Lems, Jeroen van der Laak, Geert Litjens, Francesco Ciompi; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3314-3335

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Counterfactual Intervention in Attention Multiple Instance Learning For Digital Pathology

Imane Chraki, Pierre Marza, Stergios Christodoulidis, Maria Vakalopoulou; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3336-3354

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Learning Robust Medical Image Segmentation with Inductive Bias

Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Anca-Ligia Grosu, Radu Grosu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3355-3373

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SuD-CoTAN: Sulcal Depth-guided Anatomically Consistent Fetal Cortical Surface Reconstruction

Irina Grigorescu, Jiaxin Xiao, Yourong Guo, Vanessa Kyriakopoulou, Alena Uus, Vyacheslav Karolis, Kaili Liang, Mohamed A. Suliman, Qiang Ma, Daniel Rueckert, Bernhard Kainz, A. David Edwards, Joseph V. Hajnal, Mary Rutherford, Maria Deprez, Emma C. Robinson; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3374-3396

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Beyond scalar losses: calibrating segmentation models via gradient vector field surgery

Laurin Lux, Alexander H. Berger, Moritz Knolle, Daniel Rückert, Johannes C. Paetzold; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3397-3423

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CSVR: Combined Surface and Volume Registration for Neonatal Brain MRI

Saga N.B. Masui, Yourong Guo, Mohamed A. Suliman, Mattias P. Heinrich, Nashira Baena, Irina Grigorescu, Logan Z. J. Williams, Ashleigh Davies, Vanessa Kyriakopoulou, Gráinne McAlonan, Jonathan O’Muircheartaigh, Emma C. Robinson; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3424-3442

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GEMCONT: Genetics-based Multimodal Contrastive Learning Enhances Phenotypic embeddings and Boosts Genetic Discovery

Daniel Sens, Liubov Shilova, Adrian V. Dalca, Julia A. Schnabel, Francesco Paolo Casale; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3443-3463

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Revisiting foundation models for cell instance segmentation

Anwai Archit, Constantin Pape; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3464-3495

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RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows

Kai Zhang, Corey D Barrett, Jangwon Kim, Lichao Sun, Tara Taghavi, Krishnaram Kenthapadi; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3496-3519

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Domain-Constrained Distillation of DINOv3 into a Lightweight Foundation Model Toward Point-of-Care Ultrasound

Md Jaber Al Nahian, Shrimanti Ghosh, Jacob Jaremko, Abhilash Hareendranathan; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3520-3541

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Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation

Luca Hagen, Johanna P. Müller, Moritz Gmeiner, Bernhard Kainz; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3542-3560

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PaSAL: A Deep Learning Pipeline for Pulmonary Artery-Vein Segmentation and Anatomical Labeling in Thoracic CT

Jasper Eppink, Hoel Kervadec, Julian van Capelleveen, Joost Verhoeff, Suresh Senan, Omar Bohoudi; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3561-3592

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Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation

Nafis Fuad Shahid, Maroof Ahmed, Md Akib Haider, Saidur Rahman Sagor, Aashnan Rahman, Md Azam Hossain; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3593-3607

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ASTIH: A collection of axon and myelin segmentation datasets from multiple histology studies

Armand Collin, Mathieu Boudreau, Julien Cohen-Adad; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3608-3627

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EPI Distortion Correction without Opposite Phase Encodings with Unsupervised INR-Based Deformable Registration

Tyler Spears, Myla Goldman, P. Thomas Fletcher; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3628-3640

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Geometry-Aware Cardiac MRI Representation Learning with Equivariant Neural Fields

Jesse L. Wiers, David R. Wessels, Lukas P.A. Arts, Samuel Ruiperez-Campillo, Maarten Z.H. Kolk, Fleur V.Y. Tjong, Erik J. Bekkers; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3641-3658

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Validating the Benefit of Combining Imaging and Clinical Data for Ischemic Stroke Outcome Prediction

Zeyad Abouyoussef, Johanna Ospel, Roberto Souza; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3659-3678

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TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation

Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lichao Sun, Lifang He; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3679-3703

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AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics

Stella Su, Marc Harary, Scott J. Rodig, William Lotter; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3704-3722

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SAC-Diff: A Scan-Aware Consistency-Enhanced Diffusion Framework for Unsupervised Chest CT Anomaly Detection

Xinyuan Zheng, Yoshihisa Shinagawa, Sepehr Farhand, Chi Liu, Gerardo Hermosillo Valadez, Xueqi Guo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3723-3749

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Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization

Huayu Wang, Bahaa Alattar, Cheng-Yen Yang, Hsiang-Wei Huang, Jung Heon Kim, Linda Shapiro, Nathan White, Jenq-Neng Hwang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3750-3763

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Unlocking 2D Promptable Foundation Models for 3D Vessel Segmentation by Automatic Prompt Generation

Ziyu Zhang, Yi Yu, Yuan Xue; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3764-3778

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WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis

Yalcin Tur, Mihajlo Stojkovic, Ulas Bagci; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3779-3796

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Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?

Ayush Roy, Samin Enam, Jun Xia, Won Hwa Kim, Vishnu Suresh Lokhande; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3797-3826

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Orientation-Aware Diffusion Super-Resolution for 3T-Like Fetal MRI from Routine 1.5T Scans

Xinliu Zhong, Ruiying Liu, Guohao Lin, Chuan Huang, Adam Ezra Goldman-Yassen, Amy Robben Mehollin-Ray, Yun Wang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3827-3845

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DTC-WSI: Dynamic Token Compression for Whole-Slide Images

Tawsifur Rahman, Aliasghar Tarkhan, Rama Chellappa, Alexander S. Baras; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3846-3865

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Quantifying and Mitigating Hospital Domain Bias in Pathology Foundation Models using Adversarial Feature Disentanglement

Mengliang Zhang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3866-3884

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MGMT Promoter Methylation Prediction in Glioblastoma Using 3D CNNs with Advanced MRI Sequences

Tran Nguyen Tuan Minh, Quang Hien Kha, Viet Huan Le, Matthew Chin Heng Chua, Nguyen Quoc Khanh Le; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3885-3898

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Generating Post-Acetazolamide Cerebral Blood Flow MRI for High-Risk Stroke Patients

Rydham Goyal, Camila Gonzalez, Sasha Alexander, Aja Zou, Michael E Moseley, Moss Y Zhao, Gary K Steinberg; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3899-3910

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ResGAT: A Residual Graph Attention Network for Cancer Subtype Classification in Whole Slide Images

Zhenhan Lin, Hao Tong, Yunfei Hu, Xianyong Gui, Jeanne Shen, Byrne Lee, Lu Zhang, Daniel Moyer, Mu Zhou, Xin Maizie Zhou, Konstantinos Votanopoulos; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3911-3930

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GraphULM: A Multi-Resolution CNN and GCN Framework for Ultrasound Localization Microscopy

Mohammad Sabih, Mohamed Khaled Almekkawy; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3931-3946

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BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation

Yiran Huang, Amirhossein Nouranizadeh, Christine Ahrends, Mengjia Xu; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3947-3970

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Expert Branches: Module Diversity for Stronger Feature Learning in Laparoscopic Segmentation

Lin Guo, Chiara Camerota, Mohammad Mahmoud, Flavio Esposito; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3971-3985

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A Diffusion-Driven Fine-Grained Nodule Synthesis Framework for Enhanced Lung Nodule Detection from Chest Radiographs

Shreshtha Singh, Aryan Goyal, Ashish Mittal, Manoj Tadepalli, Piyush Kumar, Preetham Putha; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:3986-4009

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HiPro-CT: A Hierarchical Probabilistic Framework for 3D Medical Vision-Language Alignment

Lin Lu, Zihan Liu, Chaoxiang Tang, Hui Zhang; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4010-4025

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Revealing and Reducing Morphological Biases Using Implicit Neural Representations for Medical Image Registration

Sofija Engelson, Bennet Kahrs, Timo Kepp, Julia Andresen, Heinz Handels, Jan Ehrhardt; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4026-4041

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LLaMA32-Med: Parameter-Efficient Adaptation of Multimodal LLMs for Medical Visual Question Answering

Wanqi Dong, Jingze Ge, Wanyue Dong, Mehul Motani; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4042-4056

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Bridging Classical and Learned Priors: A Hybrid Framework for Medical Image Enhancement

Peeyush Kumar Singh, Sneha Singh; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4057-4070

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A Multi-Scale Inception-UNet with Structure-Aware Evaluation for Branch-Preserving Segmentation of Organoids

Sandra H. Andrusca, Christopher D. Kießling, Andreas R. Bausch; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4071-4084

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Heteroscedastic Heatmap Regression for Reliable Pectoral Muscle Segmentation in Mammography

Paul Zech, Christian Hümmer, Benjamin El-Zein, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4085-4101

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MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images

Felicia Bader, Philipp Seeböck, Anastasia Bartashova, Ulrike Attenberger, Georg Langs; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4102-4116

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Endo-4DTS: Monocular 4D Scene Synthesis for Endoscopy via Deformable Triangle Splatting

Laura Salort-Benejam, Antonio Agudo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4117-4133

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The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge

Rohit Jena, Pratik Chaudhari, James Gee; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4134-4165

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Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types

Chi-Yu Chen, Rawan Abulibdeh, Arash Asgari, Sebastián Andrés Cajas Ordóñez, Leo Anthony Celi, Deirdre Goode, Hassan Hamidi, Ned McCague, Laleh Seyyed-Kalantari, Thomas Sounack, Po-Chih Kuo; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4166-4181

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CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization

Linkai Peng, Cuiling Sun, Zheyuan Zhang, Wanying Dou, Halil Ertugrul Aktas, Andrea M Bejar, Elif Keles, Tamas Gonda, Michael B Wallace, Zongwei Zhou, Gorkem Durak, Rajesh N Keswani, Ulas Bagci; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4182-4216

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Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty

Giuseppina Carannante, Nidhal C. Bouaynaya, Dimah Dera, Hassan M. Fathallah-Shaykh, Ghulam Rasool; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4217-4239

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Benchmarking the Reproducibility of Brain Tissue Segmentation Across MRI Scanners

Ekaterina Kondrateva, Abdalla Z Mohamed, Sandzhi Barg, Florian Kofler; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4240-4271

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Deep Learning Based Emboli Detection Using Ultrasound Doppler Imaging

Raghava Vinaykanth Mushunuri, Cecilie Le Duc Dahl, Elisabeth Krogstad Iversen, Sigrid Dannheim Vik, Martin Leth-Olsen, Hans Torp, Siri Ann Nyrnes, Gabriel Kiss; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4272-4287

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ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges

Roshan Kenia, Xiaoman Zhang, Pranav Rajpurkar; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4288-4315

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Multicenter Morphometric Analysis of Stratum Corneum Nanotexture for Skin Barrier Assessment

Jen-Hung Wang, Chia-Yu Chu, Felipe Colombelli, Ching-Wen Du, Maria Oberländer Christensen, Jorge Pereda, Ivone Jakasa, Sanja Kezic, Jacob P. Thyssen, Edwin En-Te Hwu, Gisele Miranda; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4316-4341

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A Comprehensive Benchmarking and Systematic Analysis of Deep Learning Models for Sonomammogram Segmentation

Malitha Gunawardhana, Norbert Zolek; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4342-4355

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Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data

Satrajit Chakrabarty, Ravi Soni; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4356-4383

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Deep Learning for Liver Disease Stratification: Findings from UKBB MRI

Rami Al-Belmpeisi, Josefine Vilsb ll Sundgaard, Peter Hj rringgaard Larsen, Anders Bjorholm Dahl; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4384-4400

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Impact of uncertainty maps on manual editing of rectal cancer segmentation in radiotherapy

Federica Carmen Maruccio, Rita Simões, Fokie Cnossen, Christian Jamtheim Gustafsson, Sanne Conijn, Alice Couwenberg, Suzan Gerrets-van Noord, Inge de Jong, Vivian van Pelt, Lisa Wiersema, Joëlle van Aalst, Jan-Jakob Sonke, Charlotte L. Brouwer, Tomas Janssen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4401-4447

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Evaluation of 3D Ultrasound Reconstruction and 2D/3D Segmentation for Neonatal Hip Dysplasia Screening

Wiebke Heyer, Katharina Ott, Christian Weihsbach, Reza Sorbi, Lisa Lange, Jürgen Lichtenstein, Anna Hell, Sebastian Lippross, Lasse Hansen, Mattias P. Heinrich; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4448-4478

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A comprehensive benchmark of graph neural networks, graph kernels, and classical machine learning approaches on rs-fMRI brain graphs

Razan Mhanna, Sophie Achard, Alexander Petersen, Jonas Richiardi; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4479-4495

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Can Vision Language Models Track a Heartbeat? A Benchmark on Frame-Level Echocardiogram Understanding

Dingming Liu, Nabil Jabareen, Soeren Lukassen; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4496-4517

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On the Stability and Robustness of Vision Transformers for Neurodegenerative Disease Classification

Eloi Navet, Rémi Giraud, Boris Mansencal, Pierrick Coupé; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4518-4554

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UMamba-ProSSL: Self-Supervised Large-Scale Pretraining with Multi-Task UMamba Advances Prostate Cancer Detection in Biparametric MRI

Syed Farhan Abbas, Michael S. Larsen, Arild Strømsvåg, Tone F. Bathen, Frank Lindseth, Gabriel Kiss, Mattijs Elschot; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4555-4578

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Scalable Detection of Undiagnosed ILD in Population Screening: A Multi-Cohort Study using 3D Foundation Models

Niccolò McConnell, Mehran Azimbagirad, Daryl O. Cheng, Daisuke Yamada, Ryoko Egashira, Robert Chapman, John McCabe, Shanshan Wang, David Lynch, Greg Kinney, Pardeep Vasudev, Paul Taylor, Daniel C. Alexander, Sam M. Janes, Joseph Jacob; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4579-4599

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Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance

Matteo Wohlrapp, Niklas Bubeck, Daniel Rueckert, William Lotter; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4600-4638

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Virtual-Eyes: Quantitative Validation of a Lung CT Quality-Control Pipeline for Foundation-Model Cancer Risk Prediction

Md. Enamul Hoq, Linda Larson-Prior, Fred Prior; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4639-4663

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Multi-site Benchmarking of Deep Learning Models for Intraparenchymal Hemorrhage Segmentation on NCCT

Kauê T N Duarte, Abhijot S Sidhu, Murilo C Barros, Taha Aslan, Donghao Zhang, Jianhai Zhang, Devansh Bhatt, Brij Karmur, Mohamed AlShamrani, Wu Qiu, Aravind Ganesh, Bijoy K Menon; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4664-4682

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Detection versus Instance Segmentation for Multi-Species Malaria Diagnosis: A Head-to-Head Comparison and Multi-Dataset Validation of YOLOv12 Architectures with Small Object Optimization

Ahmed Tahiru Issah, Idaya Seidu, Carine Mukamakuza; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4683-4702

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Harmonizing MR Images Across 100+ Scanners: Multi-site Validation with Traveling Subjects and Real-world Protocols

Savannah P. Hays, Lianrui Zuo, Muhammad Faizyab Ali Chaudhary, Kathleen M. Bartz, Samuel W. Remedios, Jinwei Zhang, Jiachen Zhuo, Murat Bilgel, Shiv Saidha, Ellen M. Mowry, Scott D. Newsome, Jerry L. Prince, Blake E. Dewey, Aaron Carass; Proceedings of The 9th International Conference on Medical Imaging with Deep Learning, PMLR 315:4703-4721

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