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MIDL 2023: Nashville, TN, USA
- Ipek Oguz, Jack H. Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heimann, Despina Kontos, Bennett A. Landman, Benoit M. Dawant:
Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA. Proceedings of Machine Learning Research 227, PMLR 2023 - Preface. i-xviii
- Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch
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Sparse Activations for Interpretable Disease Grading. 1-17 - Adam Casson, Siqi Liu, Ran A. Godrich, Hamed Aghdam, Brandon Rothrock, Kasper Malfroid, Christopher Kanan, Thomas J. Fuchs:
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels. 18-38 - Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel:
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. 39-52 - Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime. 53-73 - Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen:
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. 74-94 - Attila Simkó, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt:
Reproducibility of the Methods in Medical Imaging with Deep Learning. 95-106 - Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. 107-118 - Hanxue Gu, Hongyu He, Roy J. Colglazier, Jordan Axelrod, Robert French, Maciej A. Mazurowski:
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs. 119-133 - Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jonghye Woo, Jerry L. Prince:
DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue. 134-150 - Mélanie Lubrano, Yaëlle Bellahsen-Harrar, Rutger R. H. Fick, Cécile Badoual, Thomas Walter:
Simple and Efficient Confidence Score for Grading Whole Slide Images. 151-169 - Jiacheng Wang, Kathleen E. Larson, Ipek Oguz:
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses. 170-189 - Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan:
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors. 190-211 - Gony Rosenman, Itzik Malkiel, Ayam Greental, Talma Hendler, Lior Wolf:
Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI. 212-234 - Linda Studer, JM Bokhorst, I Nagtegaal, Inti Zlobec, Heather Dawson, Andreas Fischer:
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients. 235-259 - Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten:
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations. 260-273 - Yanni Ji, Marie Cutiongco, Bjørn Sand Jensen, Ke Yuan:
CP2Image: Generating high-quality single-cell images using CellProfiler representations. 274-285 - Febrian Febrian Rachmadi, Charissa Poon, Henrik Skibbe:
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. 286-300 - Axel Elaldi, Guido Gerig, Neel Dey:
E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI. 301-319 - Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner, Hongwei Li, Florian Sebastian Kofler, Bjoern H. Menze:
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images. 320-331 - Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann:
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. 332-349 - Heejong Kim, Mert R. Sabuncu:
Learning to Compare Longitudinal Images. 350-367 - Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland:
Data Consistent Deep Rigid MRI Motion Correction. 368-381 - Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab:
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. 382-401 - Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. 402-415 - Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin:
An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation. 416-425 - Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya:
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs. 426-443 - Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay S. Chaudhari:
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays. 444-467 - Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert:
GeoLS: Geodesic Label Smoothing for Image Segmentation. 468-478 - 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:
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. 479-495 - Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou:
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning. 496-525 - Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin:
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images. 526-551 - Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin:
Denoising Diffusion Models for Memory-efficient Processing of 3D Medical Images. 552-567 - Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert:
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. 568-585 - Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel:
On-the-Fly Test-time Adaptation for Medical Image Segmentation. 586-598 - Pengfei Guo, Vishal M. Patel:
Reference-based MRI Reconstruction Using Texture Transformer. 599-616 - Marco Nittscher, Michael Falk Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass:
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction. 617-642 - Ziqi Wen, Chuyang Ye:
A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images. 643-652 - Amanda Dy, Ngoc-Nhu Jennifer Nguyen, Seyed Hossein Mirjahanmardir, Dimitrios Androutsos, Melanie Dawe, Anthony Fyles, Wei Shi, Fei-Fei Liu, Susan Done, April Khademi:
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment. 653-665 - Chinmay Prabhakar, Hongwei Li, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern H. Menze:
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations. 666-679 - Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof:
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation. 680-694 - Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi:
Rotation-Scale Equivariant Steerable Filters. 695-715 - Lemuel Puglisi, Arman Eshaghi, Geoff J. M. Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravì:
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. 716-729 - Louis D. van Harten, Rudolf Leonardus Mirjam van Herten, Jaap Stoker, Ivana Isgum:
Deformable Image Registration with Geometry-informed Implicit Neural Representations. 730-742 - Avirup Dey, Mehran Ebrahimi:
MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images. 743-757 - Alexander Ke, Shih-Cheng Huang, Chloe P. O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar:
Video pretraining advances 3D deep learning on chest CT tasks. 758-774 - Ruizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu:
Model Adaptive Tooth Segmentation. 775-798 - Cheng Liu, Hisanor Kiryu:
3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor Segmentation. 799-813 - Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean C. Barratt, Yipeng Hu:
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. 814-828 - Nicholas Konz, Maciej A. Mazurowski:
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images. 829-845 - Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou:
MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning. 846-861 - Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Bruce Fischl, Adrian V. Dalca:
Joint cortical registration of geometry and function using semi-supervised learning. 862-876 - Yinsheng He, Xingyu Li:
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data. 877-887 - Jiaqi Guo, Emanuel A. Azcona, Santiago Lopez Tapia, Aggelos K. Katsaggelos:
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes. 888-904 - Boyeong Woo, Marlon Bran Lorenzana, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative. 905-917 - Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith:
Metadata-guided Consistency Learning for High Content Images. 918-936 - Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner:
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. 937-956 - Matthis Manthe, Stefan Duffner, Carole Lartizien:
Whole brain radiomics for clustered federated personalization in brain tumor segmentation. 957-977 - Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Pranav Rajpurkar:
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation. 978-990 - Dimitrios Karkalousos
MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis. 991-1005 - Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye, Heather Ting Ma:
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision. 1006-1018 - Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. 1019-1032 - Tamir Shor, Tomer Weiss, Dor Noti, Alexander M. Bronstein:
Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI. 1033-1050 - Zongliang Ji, Philip Rosenfield, Christina Eng, Sarah Bettigole, Danielle C. Gibson, Hamid Masoudi, Matthew G. Hanna, Nicolò Fusi, Kristen A. Severson:
Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology. 1051-1066 - Qian Li, Yunguan Fu, Qianye Yang, Zhijiang Du, Hongjian Yu, Yipeng Hu:
Spatial Correspondence between Graph Neural Network-Segmented Images. 1067-1084 - Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz:
Few Shot Hematopoietic Cell Classification. 1085-1103 - Mathieu Labrunie, Daniel Pizarro, Christophe Tilmant, Adrien Bartoli:
Automatic 3D/2D Deformable Registration in Minimally Invasive Liver Resection using a Mesh Recovery Network. 1104-1123 - 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:
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. 1124-1143 - Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof:
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation. 1144-1162 - Yijie Pang, Pujin Cheng, Junyan Lyu, Fan Lin, Xiaoying Tang:
Prior Guided 3D Medical Image Landmark Localization. 1163-1175 - Kudaibergen Abutalip, Numan Saeed, Mustaqeem Khan, Abdulmotaleb El-Saddik:
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training. 1176-1198 - Sofia Cardoso Pereira, Joana Rocha, Alex Gaudio, Asim Smailagic, Aurélio Campilho, Ana Maria Mendonça:
Addressing Chest Radiograph Projection Bias in Deep Classification Models. 1199-1210 - Iris N. Vos, Ishaan Bhat, Birgitta K. Velthuis, Ynte M. Ruigrok, Hugo J. Kuijf:
Calibration techniques for node classification using graph neural networks on medical image data. 1211-1224 - Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christianus Hansen:
Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data. 1225-1238 - Tianyu Hwang, Chih-Hung Wang, Holger R. Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang:
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. 1239-1253 - Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. 1254-1268 - Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman:
Reproducibility of Training Deep Learning Models for Medical Image Analysis. 1269-1287 - Rudolf Leonardus Mirjam van Herten, Louis D. van Harten, Nils Planken, Ivana Isgum:
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints. 1288-1303 - Vibujithan Vigneshwaran, Matthias Wilms, Milton Ivan Camacho, Raissa Souza, Nils D. Forkert:
Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference. 1304-1317 - Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Lio:
DBGSL: Dynamic Brain Graph Structure Learning. 1318-1345 - Alexander Campbell, Simeon Emilov Spasov, Nicola Toschi, Pietro Lio:
DBGDGM: Dynamic Brain Graph Deep Generative Model. 1346-1371 - Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci:
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. 1372-1384 - Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M. Deniz:
Radiology Reports Improve Visual Representations Learned from Radiographs. 1385-1405 - 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:
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. 1406-1422 - NagaGayathri Matcha, Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G. S., Keerthi Ram, Mohanasankar Sivaprakasam:
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction. 1423-1440 - Xuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, James J. Xia, Pingkun Yan:
Federated Cross Learning for Medical Image Segmentation. 1441-1452 - Raghav Mehta, Changjian Shui, Tal Arbel:
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. 1453-1492 - Matthias Keicher, Kamilia Zaripova, Tobias Czempiel, Kristina Mach, Ashkan Khakzar, Nassir Navab:
FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays. 1493-1508 - Igor Zingman, Sergio Frayle, Ivan Tankoyeu, Sergey Sukhanov, Fabian Heinemann:
A comparative evaluation of image-to-image translation methods for stain transfer in histopathology. 1509-1525 - Md Mostafijur Rahman, Radu Marculescu:
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. 1526-1544 - Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller:
Evaluating Adversarial Robustness of Low dose CT Recovery. 1545-1563 - Trevor Seets, Wei Lin, Yizhou Lu, Christie Lin, Adam Uselmann, Andreas Velten:
OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided Surgery. 1564-1580 - Ye Zhu, Jie Yang, Siqi Liu, Ruimao Zhang:
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation. 1581-1601 - Jie Yang, Ye Zhu, Chaoqun Wang, Zhen Li, Ruimao Zhang:
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency. 1602-1622 - Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu:
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model. 1623-1639 - Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema:
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer. 1640-1654 - Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. 1655-1665 - Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub:
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. 1666-1679 - Wei Zhu, Runtao Zhou, Yuan Yao, Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo:
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification. 1680-1690 - Hao Zhai, Jing Liu, Bei Hong, Jiazheng Liu, Qiwei Xie, Hua Han:
Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics. 1691-1712 - Molin Zhang, Junshen Xu, Yamin Arefeen, Elfar Adalsteinsson:
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space. 1713-1725 - Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra:
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. 1726-1750 - Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa Sanjay Parekh:
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. 1751-1764 - Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh:
Domain adaptation using optimal transport for invariant learning using histopathology datasets. 1765-1782 - Nicolas Pinon, Robin Trombetta, Carole Lartizien:
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities. 1783-1797 - Yuanyuan Wei, Roger C. Tam, Xiaoying Tang:
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging. 1798-1812 - Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal:
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction. 1813-1825 - Yanru Chen, Michael T. Lu, Vineet K. Raghu:
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images. 1826-1858 - 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:
nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers. 1859-1874 - Tin Vlasic, Tomislav Matulic, Damir Sersic:
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling. 1875-1894 - Owen Crystal, April Khademi, Alan R. Moody, Pejman Jahbedar Maralani, Sandra E. Black:
Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI. 1895-1909 - Janmesh Ukey, Shireen Y. Elhabian:
Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images. 1910-1922 - Abdollah Ghazvanchahi, Pejman Jahbedar Maralani, Alan R. Moody, April Khademi:
Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI. 1923-1940
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