Preface

Ipek Oguz, Jack Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rosu, Tobias Heinmann, Despina Kontos, Bennett Landman, Benoit Dawant; Medical Imaging with Deep Learning, PMLR 227:i-xviii

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Sparse Activations for Interpretable Disease Grading

Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch; Medical Imaging with Deep Learning, PMLR 227:1-17

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Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels

Adam Casson, Siqi Liu, Ran A Godrich, Hamed Aghdam, Brandon Rothrock, Kasper Malfroid, Christopher Kanan, Thomas Fuchs; Medical Imaging with Deep Learning, PMLR 227:18-38

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Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A Schnabel; Medical Imaging with Deep Learning, PMLR 227:39-52

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Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime

Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman; Medical Imaging with Deep Learning, PMLR 227:53-73

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Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images

Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin Kurc, Luisa Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel Saltz, Chao Chen; Medical Imaging with Deep Learning, PMLR 227:74-94

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Reproducibility of the Methods in Medical Imaging with Deep Learning.

Attila Simkó, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt; Medical Imaging with Deep Learning, PMLR 227:95-106

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Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu; Medical Imaging with Deep Learning, PMLR 227:107-118

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SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs

Hanxue Gu, Hongyu He, Roy Colglazier, Jordan Axelrod, Robert French, Maciej A Mazurowski; Medical Imaging with Deep Learning, PMLR 227:119-133

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DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue

Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jonghye Woo, Jerry L Prince; Medical Imaging with Deep Learning, PMLR 227:134-150

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Simple and Efficient Confidence Score for Grading Whole Slide Images

Melanie Lubrano, Yaëlle Bellahsen Harrar, Rutger RH Fick, Cécile Badoual, Thomas Walter; Medical Imaging with Deep Learning, PMLR 227:151-169

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Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses

Jiacheng Wang, Kathleen Larson, Ipek Oguz; Medical Imaging with Deep Learning, PMLR 227:170-189

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Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors

Vivek Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan; Medical Imaging with Deep Learning, PMLR 227:190-211

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Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI

Gony Rosenman, Itzik Malkiel, Ayam Greental, Talma Hendler, Lior Wolf; Medical Imaging with Deep Learning, PMLR 227:212-234

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Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients

Linda Studer, JM Bokhorst, I Nagtegaal, Inti Zlobec, Heather Dawson, Andreas Fischer; Medical Imaging with Deep Learning, PMLR 227:235-259

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Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations

Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter Bosman, Tanja Alderliesten; Medical Imaging with Deep Learning, PMLR 227:260-273

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CP2Image: Generating high-quality single-cell images using CellProfiler representations

Yanni Ji, Marie Cutiongco, Bj\orn Sand Jensen, Ke Yuan; Medical Imaging with Deep Learning, PMLR 227:274-285

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Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function

Febrian Rachmadi, Charissa Poon, Henrik Skibbe; Medical Imaging with Deep Learning, PMLR 227:286-300

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E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI

Axel Elaldi, Guido Gerig, Neel Dey; Medical Imaging with Deep Learning, PMLR 227:301-319

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Vesselformer: Towards Complete 3D Vessel Graph Generation from Images

Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner, Hongwei Li, Florian Sebastian Kofler, Bjoern Menze; Medical Imaging with Deep Learning, PMLR 227:320-331

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Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification

Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann; Medical Imaging with Deep Learning, PMLR 227:332-349

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Learning to Compare Longitudinal Images

Heejong Kim, Mert R. Sabuncu; Medical Imaging with Deep Learning, PMLR 227:350-367

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Data Consistent Deep Rigid MRI Motion Correction

Nalini M Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V Dalca, Polina Golland; Medical Imaging with Deep Learning, PMLR 227:368-381

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Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging

Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab; Medical Imaging with Deep Learning, PMLR 227:382-401

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Frozen Language Model Helps ECG Zero-Shot Learning

Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong; Medical Imaging with Deep Learning, PMLR 227:402-415

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An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation

Yiwen Liu, Wenyu Xing, Mingbo Zhao, MINGQUAN LIN; Medical Imaging with Deep Learning, PMLR 227:416-425

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A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs

Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya; Medical Imaging with Deep Learning, PMLR 227:426-443

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Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

Rogier Van der Sluijs, Nandita Bhaskhar, Daniel Rubin, Curtis Langlotz, Akshay S Chaudhari; Medical Imaging with Deep Learning, PMLR 227:444-467

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GeoLS: Geodesic Label Smoothing for Image Segmentation

Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert; Medical Imaging with Deep Learning, PMLR 227:468-478

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Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning

Ricardo Mokhtari, Azam Hamidinekoo, Daniel James Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pål Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy; Medical Imaging with Deep Learning, PMLR 227:479-495

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Making Your First Choice: To Address Cold Start Problem in Medical Active Learning

Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan Yuille, Zongwei Zhou; Medical Imaging with Deep Learning, PMLR 227:496-525

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Diffusion Models for Contrast Harmonization of Magnetic Resonance Images

Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkuehler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin; Medical Imaging with Deep Learning, PMLR 227:526-551

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Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing

Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkuehler, Philippe C. Cattin; Medical Imaging with Deep Learning, PMLR 227:552-567

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Robust Detection Outcome: A Metric for Pathology Detection in Medical Images

Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert; Medical Imaging with Deep Learning, PMLR 227:568-585

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On-the-Fly Test-time Adaptation for Medical Image Segmentation

Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel; Medical Imaging with Deep Learning, PMLR 227:586-598

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Reference-based MRI Reconstruction Using Texture Transformer

Pengfei Guo, Vishal M. Patel; Medical Imaging with Deep Learning, PMLR 227:599-616

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SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction

Marco Nittscher, Michael Falk Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass; Medical Imaging with Deep Learning, PMLR 227:617-642

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A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images

Ziqi Wen, Chuyang Ye; Medical Imaging with Deep Learning, PMLR 227:643-652

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Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment

Amanda Dy, Ngoc-Nhu Jennifer Nguyen, Seyed Hossein Mirjahanmardir, Dimitrios Androutsos, Melanie Dawe, Anthony Fyles, Wei Shi, Fei-Fei Liu, Susan Done, April Khademi; Medical Imaging with Deep Learning, PMLR 227:653-665

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ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations

Chinmay Prabhakar, Hongwei Li, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern Menze; Medical Imaging with Deep Learning, PMLR 227:666-679

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MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof; Medical Imaging with Deep Learning, PMLR 227:680-694

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Rotation-Scale Equivariant Steerable Filters

Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi; Medical Imaging with Deep Learning, PMLR 227:695-715

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DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification

Lemuel Puglisi, Arman Eshaghi, Geoff Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravi; Medical Imaging with Deep Learning, PMLR 227:716-729

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Deformable Image Registration with Geometry-informed Implicit Neural Representations

Louis van Harten, Rudolf Leonardus Mirjam Van Herten, Jaap Stoker, Ivana Isgum; Medical Imaging with Deep Learning, PMLR 227:730-742

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MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images

Avirup Dey, Mehran Ebrahimi; Medical Imaging with Deep Learning, PMLR 227:743-757

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Video pretraining advances 3D deep learning on chest CT tasks

Alexander Ke, Shih-Cheng Huang, Chloe P O’Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar; Medical Imaging with Deep Learning, PMLR 227:758-774

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Model Adaptive Tooth Segmentation

Ruizhe Chen, Jianfei Yang, YANG FENG, Jin Hao, Zuozhu Liu; Medical Imaging with Deep Learning, PMLR 227:775-798

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3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor Segmentation

Cheng Liu, Hisanor Kiryu; Medical Imaging with Deep Learning, PMLR 227:799-813

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Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion

Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean Barratt, Yipeng Hu; Medical Imaging with Deep Learning, PMLR 227:814-828

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Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images

Nicholas Konz, Maciej A Mazurowski; Medical Imaging with Deep Learning, PMLR 227:829-845

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MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning

Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou; Medical Imaging with Deep Learning, PMLR 227:846-861

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Joint cortical registration of geometry and function using semi-supervised learning

Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L Edlow, Bruce Fischl, Adrian V Dalca; Medical Imaging with Deep Learning, PMLR 227:862-876

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Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data

Yinsheng He, Xingyu Li; Medical Imaging with Deep Learning, PMLR 227:877-887

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Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes

Jiaqi Guo, Emanuel Azcona, Santiago Lopez-Tapia, Aggelos Katsaggelos; Medical Imaging with Deep Learning, PMLR 227:888-904

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Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative

Boyeong Woo, Marlon Bran Lorenzana, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra; Medical Imaging with Deep Learning, PMLR 227:905-917

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Metadata-guided Consistency Learning for High Content Images

Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith; Medical Imaging with Deep Learning, PMLR 227:918-936

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Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals

Susu Sun, Stefano Woerner, Andreas Maier, Lisa M. Koch, Christian F. Baumgartner; Medical Imaging with Deep Learning, PMLR 227:937-956

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Whole brain radiomics for clustered federated personalization in brain tumor segmentation

Matthis Manthe, Stefan Duffner, Carole Lartizien; Medical Imaging with Deep Learning, PMLR 227:957-977

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Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation

Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Pranav Rajpurkar; Medical Imaging with Deep Learning, PMLR 227:978-990

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MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis

Dimitrios Karkalousos, Ivana Isgum, Henk Marquering, Matthan W. A. Caan; Medical Imaging with Deep Learning, PMLR 227:991-1005

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Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision

Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye, Ting Ma; Medical Imaging with Deep Learning, PMLR 227:1006-1018

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Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI

Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer; Medical Imaging with Deep Learning, PMLR 227:1019-1032

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Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI

Tamir Shor, Tomer Weiss, Dor Noti, Alex Bronstein; Medical Imaging with Deep Learning, PMLR 227:1033-1050

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Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology

Zongliang Ji, Philip Rosenfield, Christina Eng, Sarah Bettigole, Danielle C Gibson, Hamid Masoudi, Matthew Hanna, Nicolo Fusi, Kristen A Severson; Medical Imaging with Deep Learning, PMLR 227:1051-1066

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Spatial Correspondence between Graph Neural Network-Segmented Images

Qian Li, Yunguan Fu, Qianye Yang, Zhijiang Du, Hongjian Yu, Yipeng Hu; Medical Imaging with Deep Learning, PMLR 227:1067-1084

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Few Shot Hematopoietic Cell Classification

Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel Saltz; Medical Imaging with Deep Learning, PMLR 227:1085-1103

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Automatic 3D/2D Deformable Registration in Minimally Invasive Liver Resection using a Mesh Recovery Network

Mathieu Labrunie, Daniel Pizarro, Christophe Tilmant, Adrien Bartoli; Medical Imaging with Deep Learning, PMLR 227:1104-1123

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Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context

Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, Bennett A. Landman; Medical Imaging with Deep Learning, PMLR 227:1124-1143

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MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof; Medical Imaging with Deep Learning, PMLR 227:1144-1162

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Prior Guided 3D Medical Image Landmark Localization

Yijie Pang, Pujin Cheng, Junyan Lyu, Fan Lin, Xiaoying Tang; Medical Imaging with Deep Learning, PMLR 227:1163-1175

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Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training

Kudaibergen Abutalip, Numan Saeed, Mustaqeem Khan, Abdulmotaleb El Saddik; Medical Imaging with Deep Learning, PMLR 227:1176-1198

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Addressing Chest Radiograph Projection Bias in Deep Classification Models

Sofia Cardoso Pereira, Joana Rocha, Alex Gaudio, Asim Smailagic, Aur’elio Campilho, Ana Maria Mendonça; Medical Imaging with Deep Learning, PMLR 227:1199-1210

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Calibration techniques for node classification using graph neural networks on medical image data

Iris Vos, Ishaan Bhat, Birgitta Velthuis, Ynte Ruigrok, Hugo Kuijf; Medical Imaging with Deep Learning, PMLR 227:1211-1224

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Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data

Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christianus Hansen; Medical Imaging with Deep Learning, PMLR 227:1225-1238

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Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction

Tianyu Hwang, Chih-Hung Wang, Holger R Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang; Medical Imaging with Deep Learning, PMLR 227:1239-1253

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ST(OR)$^2$: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room

Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier MUTTER, Nicolas Padoy, Omid Mohareri; Medical Imaging with Deep Learning, PMLR 227:1254-1268

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Reproducibility of Training Deep Learning Models for Medical Image Analysis

Joeran Bosma, Dre Peeters, Nat’alia Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman; Medical Imaging with Deep Learning, PMLR 227:1269-1287

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Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints

Rudolf Leonardus Mirjam Van Herten, Louis van Harten, Nils Planken, Ivana Isgum; Medical Imaging with Deep Learning, PMLR 227:1288-1303

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Improved multi-site Parkinson’s disease classification using neuroimaging data with counterfactual inference

Vibujithan Vigneshwaran, Matthias Wilms, Milton Ivan Camacho Camacho, Raissa Souza, Nils Forkert; Medical Imaging with Deep Learning, PMLR 227:1304-1317

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DBGSL: Dynamic Brain Graph Structure Learning

Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Lio; Medical Imaging with Deep Learning, PMLR 227:1318-1345

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DBGDGM: Dynamic Brain Graph Deep Generative Model

Alexander Campbell, Simeon Emilov Spasov, Nicola Toschi, Pietro Lio; Medical Imaging with Deep Learning, PMLR 227:1346-1371

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TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing

Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci; Medical Imaging with Deep Learning, PMLR 227:1372-1384

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Radiology Reports Improve Visual Representations Learned from Radiographs

Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M Deniz; Medical Imaging with Deep Learning, PMLR 227:1385-1405

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Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis

Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo; Medical Imaging with Deep Learning, PMLR 227:1406-1422

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SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction

NagaGayathri Matcha, Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G S, Keerthi Ram, Mohanasankar Sivaprakasam; Medical Imaging with Deep Learning, PMLR 227:1423-1440

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Federated Cross Learning for Medical Image Segmentation

Xuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, James J. Xia, Pingkun Yan; Medical Imaging with Deep Learning, PMLR 227:1441-1452

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Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis

Raghav Mehta, Changjian Shui, Tal Arbel; Medical Imaging with Deep Learning, PMLR 227:1453-1492

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FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays

Matthias Keicher, Kamilia Zaripova, Tobias Czempiel, Kristina Mach, Ashkan Khakzar, Nassir Navab; Medical Imaging with Deep Learning, PMLR 227:1493-1508

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A comparative evaluation of image-to-image translation methods for stain transfer in histopathology

Igor Zingman, Sergio Frayle, Ivan Tankoyeu, Sergey Sukhanov, Fabian Heinemann; Medical Imaging with Deep Learning, PMLR 227:1509-1525

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Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation

Md Mostafijur Rahman, Radu Marculescu; Medical Imaging with Deep Learning, PMLR 227:1526-1544

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Evaluating Adversarial Robustness of Low dose CT Recovery

Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller; Medical Imaging with Deep Learning, PMLR 227:1545-1563

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OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided Surgery

Trevor Seets, Wei Lin, Yizhou Lu, Christie Lin, Adam Uselmann, Andreas Velten; Medical Imaging with Deep Learning, PMLR 227:1564-1580

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Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation

Ye Zhu, Jie Yang, Siqi Liu, Ruimao Zhang; Medical Imaging with Deep Learning, PMLR 227:1581-1601

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Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency

Jie Yang, Ye Zhu, Chaoqun Wang, Zhen Li, Ruimao Zhang; Medical Imaging with Deep Learning, PMLR 227:1602-1622

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MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Junde Wu, RAO FU, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu; Medical Imaging with Deep Learning, PMLR 227:1623-1639

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TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer

Baoqiang Ma, Jiapan Guo, Lisanne Van Dijk, P.M.A. van Ooijen, Stefan Both, Nanna Maria Sijtsema; Medical Imaging with Deep Learning, PMLR 227:1640-1654

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Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge; Medical Imaging with Deep Learning, PMLR 227:1655-1665

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FUSQA: Fetal Ultrasound Segmentation Quality Assessment

Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub; Medical Imaging with Deep Learning, PMLR 227:1666-1679

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SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification

Wei Zhu, Runtao Zhou, Yuan Yao, Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo; Medical Imaging with Deep Learning, PMLR 227:1680-1690

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Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics

Hao Zhai, Jing Liu, Bei Hong, Jiazheng Liu, Qiwei Xie, Hua Han; Medical Imaging with Deep Learning, PMLR 227:1691-1712

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Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space

Molin Zhang, Junshen Xu, Yamin Arefeen, Elfar Adalsteinsson; Medical Imaging with Deep Learning, PMLR 227:1713-1725

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On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis

Divyam Madaan, Daniel Sodickson, Kyunghyun Cho, Sumit Chopra; Medical Imaging with Deep Learning, PMLR 227:1726-1750

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Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging

Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa Sanjay Parekh; Medical Imaging with Deep Learning, PMLR 227:1751-1764

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Domain adaptation using optimal transport for invariant learning using histopathology datasets

Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh; Medical Imaging with Deep Learning, PMLR 227:1765-1782

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One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities

Nicolas Pinon, Robin Trombetta, Carole Lartizien; Medical Imaging with Deep Learning, PMLR 227:1783-1797

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MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging

Yuanyuan Wei, Roger Tam, Xiaoying Tang; Medical Imaging with Deep Learning, PMLR 227:1798-1812

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A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction

Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Said Ladjal; Medical Imaging with Deep Learning, PMLR 227:1813-1825

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A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images

Yanru Chen, Michael T Lu, Vineet K Raghu; Medical Imaging with Deep Learning, PMLR 227:1826-1858

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nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers

Joey Spronck, Thijs Gelton, Leander van Eekelen, Joep Bogaerts, Leslie Tessier, Mart van Rijthoven, Lieke van der Woude, Michel van den Heuvel, Willemijn Theelen, Jeroen van der Laak, Francesco Ciompi; Medical Imaging with Deep Learning, PMLR 227:1859-1874

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Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling

Tin Vlas̆ić, Tomislav Matulić, Damir Sers̆ić; Medical Imaging with Deep Learning, PMLR 227:1875-1894

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Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI

Owen Crystal, April Khademi, Alan R Moody, Pejman J Maralani, Sandra E Black; Medical Imaging with Deep Learning, PMLR 227:1895-1909

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Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images

Janmesh Ukey, Shireen Elhabian; Medical Imaging with Deep Learning, PMLR 227:1910-1922

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Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI

Abdollah Ghazvanchahi, Pejman Jahbedar Maralani, Alan R. Moody, April Khademi; Medical Imaging with Deep Learning, PMLR 227:1923-1940

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