Preface

Ender Konukoglu, Bjoern Menze, Archana Venkataraman, Christian Baumgartner, Qi Dou, Shadi Albarqouni; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1-4

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Explainability Guided COVID-19 Detection in CT Scans

Ameen Ali, Tal Shaharabany, Lior Wolf; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:5-21

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Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions

Tamaz Amiranashvili, David Lüdke, Hongwei Bran Li, Bjoern Menze, Stefan Zachow; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:22-34

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ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation

Muhammad Asad, Lucas Fidon, Tom Vercauteren; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:35-47

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SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities

Reza Azad, Nika Khosravi, Dorit Merhof; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:48-62

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On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction

Tim Bakker, Matthew Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:63-85

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Learning to Automatically Generate Accurate ECG Captions

Mathieu G. G. Bartels, Ivona Najdenkoska, Rutger R van de Leur, Arjan Sammani, Karim Taha, David M Knigge, Pieter A Doevendans, Marcel Worring, René van Es; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:86-102

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Negative Evidence Matters in Interpretable Histology Image Classification

Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luck McCaffrey, Eric Granger; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:103-129

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Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays

Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:130-149

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Bridging the Gap: Point Clouds for Merging Neurons in Connectomics

Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:150-159

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Position Regression for Unsupervised Anomaly Detection

Florentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:160-172

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Domain adaptation through anatomical constraints for 3d human pose estimation under the cover

Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P Heinrich; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:173-187

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Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation

Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:188-198

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Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence

João BS Carvalho, João Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M Buhmann; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:199-218

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Automatic planning of liver tumor thermal ablation using deep reinforcement learning

Krishna Chaitanya, Chloé Audigier, Laura Elena Balascuta, Tommaso Mansi; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:219-230

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TorchXRayVision: A library of chest X-ray datasets and models

Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:231-249

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Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation

Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:250-260

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SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG

Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:261-281

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Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis

Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:282-303

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Single Dynamic Network for Multi-label Renal Pathology Image Segmentation

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun and Yang, Yuankai Huo; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:304-314

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CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling

Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:315-324

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VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction

Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M Pauly, Akshay S. Chaudhari; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:325-352

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Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies

Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:353-369

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Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data

Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:370-386

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Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI

Joshua Durso-Finley, Jean-Pierre Falet, Brennan Nichyporuk, Arnold Douglas, Tal Arbel; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:387-406

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Practical uncertainty quantification for brain tumor segmentation

Moritz Fuchs, Camila González, Anirban Mukhopadhyay; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:407-422

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Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups

Lucy Godson, Navid Alemi, Jérémie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Newton-Bishop Julia, Ali Gooya; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:423-440

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i3Deep: Efficient 3D interactive segmentation with the nnU-Net

Karol Gotkowski, Camila Gonzalez, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:441-456

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Transformer-based out-of-distribution detection for clinically safe segmentation

Mark S Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U-King-Im, Yee H Mah, James T Teo, Rolf Jager, David Werring, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:457-476

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JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection

Huaqing He, Li Lin, Zhiyuan Cai, Xiaoying Tang; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:477-492

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Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans

Xiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng, Gaoang Wang, Liu Zuozhu; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:493-507

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TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces

Andrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas Greve, Adrian V Dalca; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:508-520

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Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks

Timo Horstmann, Oliver Zettinig, Wolfgang Wein, Raphael Prevost; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:521-534

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CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging

Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:535-551

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Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer

Dewei Hu, Hao Li, Han Liu, Ipek Oguz; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:552-564

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Breathing Freely: Self-supervised Liver T1rho Mapping from A Single T1rho-weighted Image

Chaoxing Huang, Yurui Qian, Jian Hou, Baiyan Jiang, Queenie Chan, Vincent Wong, Winne Chu, Weitian Chen; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:565-575

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AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search

Ziyan Huang, Zehua Wang, Zhikai Yang, Lixu Gu; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:576-589

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Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers

Justin Huynh, Samira Masoudi, Abraham Noorbaksh, Kyle Hasenstab, Michael Pazzani, Albert Hsiao; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:590-604

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Diffeomorphic Image Registration Using Lipschitz Continuous Residual Networks

Ankita Joshi, Yi Hong; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:605-617

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FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:618-637

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A Flexible Meta Learning Model for Image Registration

Frederic Kanter, Jan Lellmann; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:638-652

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Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI

Antanas Kascenas, Nicolas Pugeault, Alison Q. O’Neil; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:653-664

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Deep Learning for Model Correction in Cardiac Electrophysiological Imaging

Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:665-675

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PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia Localization

HyunWoo Kim, HanBin Ko, JungJun Kim; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:676-688

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Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings

Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:689-712

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Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography

Tobias Knopp, Mirco Grosser; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:713-725

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Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection

Lisa M Koch, Christian M Schürch, Arthur Gretton, Philipp Berens; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:726-740

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Confidence Histograms for Model Reliability Analysis and Temperature Calibration

Farina Kock, Felix Thielke, Grzegorz Chlebus, Hans Meine; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:741-759

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A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes

Lars Leyendecker, Julius Haas, Tobias Piotrowski, Maik Frye, Cora Becker, Bernd K. Fleischmann, Michael Hesse, Robert H. Schmitt; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:760-773

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Vision Transformers Enable Fast and Robust Accelerated MRI

Kang Lin, Reinhard Heckel; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:774-795

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Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis

Jingya Liu, Bin Lou, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Yingli Tian, Dorin Comaniciu, Ali Kamen, ProstateAI Clinical Collaborators; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:796-807

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Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation

Haozhe Luo, Yu Changdong, Raghavendra Selvan; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:808-819

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Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:820-833

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Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder

Matthew Lyon, Paul Armitage, Mauricio A Álvarez; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:834-846

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Label conditioned segmentation

Tianyu Ma, Benjamin C Lee, Mert R Sabuncu; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:847-857

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MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers

Dwarikanath Mahapatra, Zongyuan Ge; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:858-878

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LILE: Look In-Depth before Looking Elsewhere – A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives

Danial Maleki, H.R Tizhoosh; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:879-894

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Self-Supervised Transformers for fMRI representation

Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:895-913

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On the Pitfalls of Using the Residual Error as Anomaly Score

Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:914-928

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Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net

Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior, Adrien Depeursinge; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:929-943

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Structural Networks for Brain Age Prediction

Oscar Pina, Irene Cumplido-Mayoral, Raffaele Cacciaglia, José María González-de-Echávarri, Juan Domingo Gispert, Verónica Vilaplana; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:944-960

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Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation

Navid Rabbani, Callyane Seve, Nicolas Bourdel, Adrien Bartoli; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:961-974

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Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning

Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:975-987

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Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?

Saikat Roy, David Kügler, Martin Reuter; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:988-1004

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Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?

Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1005-1018

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YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation

Pranab Samanta, Nitin Singhal; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1019-1033

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Segmentation-Consistent Probabilistic Lesion Counting

Julien Schroeter, Chelsea Myers-Colet, Douglas L Arnold, Tal Arbel; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1034-1056

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Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data

Ahmed Shahin, Joseph Jacob, Daniel Alexander, David Barber; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1057-1074

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Learning Strategies for Contrast-agnostic Segmentation via SynthSeg for Infant MRI data

Ziyao Shang, Md Asadullah Turja, Eric Feczko, Audrey Houghton, Amanda Rueter, Lucille A Moore, Kathy Snider, Timothy Hendrickson, Paul Reiners, Sally Stoyell, Omid Kardan, Monica Rosenberg, Jed T Elison, Damien A Fair, Martin A Styner; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1075-1084

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Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data

Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Moses, Erik Meijering; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1085-1095

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Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early Features

Rasha Sheikh, Thomas Schultz; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1096-1107

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Self-Supervised Representation Learning for High-Content Screening

Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1108-1124

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MRI bias field correction with an implicitly trained CNN

Attila Simkó, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1125-1138

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Speckle and Shadows: Ultrasound-specific Physics-based Data Augmentation for Kidney Segmentation

Rohit Singla, Cailin Ringstrom, Ricky Hu, Victoria Lessoway, Janice Reid, Robert Rohling, Christophe Nguan; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1139-1148

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Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?

Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1149-1161

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MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in Colonoscopy

Xinzi Sun, Dechun Wang, Qilei Chen, Jing Ni, Shuijiao Chen, Xiaowei Liu, Yu Cao, Benyuan Liu; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1162-1172

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Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data

Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xose Luis Dean-Ben, Fernando Perez-Cruz, Daniel Razansky; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1173-1191

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OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1192-1217

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Efficient tool segmentation for endoscopic videos in the wild

Clara Tomasini, Iñigo Alonso, Luis Riazuelo, Ana C Murillo; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1218-1234

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Inference of captions from histopathological patches

Masayuki Tsuneki, Fahdi Kanavati; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1235-1250

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An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation

Şerban Vădineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1251-1267

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SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction

Serge Vasylechko Didenko, Simon Warfield, Sila Kurugol, Onur Afacan; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1268-1284

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Cell Anomaly Localisation using Structured Uncertainty Prediction Networks

Boyko Vodenicharski, Samuel McDermott, Katherine M. Webber, Viola Introini, Pietro Cicuta, Richard Bowman, Ivor J. A. Simpson, Neill D. F. Campbell; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1285-1300

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MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning

Damir Vrabac, Akshay Smit, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1301-1310

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EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring

Royden Wagner, Karl Rohr; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1311-1321

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Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images

Yuan Wang, Laura Blackie, Irene Miguel-Aliaga, Wenjia Bai; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1322-1335

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Diffusion Models for Implicit Image Segmentation Ensembles

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1336-1348

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Implicit Neural Representations for Deformable Image Registration

Jelmer M Wolterink, Jesse C Zwienenberg, Christoph Brune; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1349-1359

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Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images

Boyeong Woo, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1360-1374

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Towards IID representation learning and its application on biomedical data

Jiqing Wu, Inti Zlobec, Maxime Lafarge, Yukun He, Viktor Koelzer; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1375-1402

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Learned Half-Quadratic Splitting Network for MR Image Reconstruction

Bingyu Xin, Timothy Phan, Leon Axel, Dimitris Metaxas; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1403-1412

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Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius deGroot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1413-1429

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Regularizing Brain Age Prediction via Gated Knowledge Distillation

Yanwu Yang, Guo Xutao, Chenfei Ye, Yang Xiang, Ting Ma; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1430-1443

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Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan Yuille, Yongyi Lu; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1444-1458

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Hierarchical Optimal Transport for Comparing Histopathology Datasets

Anna Yeaton, Rahul G. Krishnan, Rebecca Mieloszyk, David Alvarez-Melis, Grace Huynh; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1459-1469

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Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning

Sixing Yin, Yameng Han, Judong Pan, Yining Wang, Shufang Li; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1470-1481

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KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection

Evan M Yu, Alan Q Wang, Adrian V Dalca, Mert R Sabuncu; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1482-1503

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Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning

Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1504-1522

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Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation

Xiner Zhu, Haoji Hu, Hualiang Wang, Jincao Yao, Wei Li, Di Ou, Dong Xu; Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:1523-1537

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