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ORCIDMIDL 2024: Paris, France
- Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus:
Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France. Proceedings of Machine Learning Research 250, PMLR 2024 - Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus:
Preface for International Conference on Medical Imaging with Deep Learning 2024. i-xviii - Muhammad Muneeb Afzal, Muhammad Osama Khan, Yi Fang:
A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification. 1-16 - Nouman Ahmad, Johan Öfverstedt, Sambit Tarai, Göran Bergström, Håkan Ahlström, Joel Kullberg:
Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies. 17-32 - Julia Alekseenko, Alexandros Karargyris, Nicolas Padoy:
Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation. 33-47 - Julia Andresen, Jan Ehrhardt, Claus von der Burchard, Ayse Tatli, Johann Roider, Heinz Handels, Hristina Uzunova:
FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids. 48-60 - Elias Baumann, Bastian Dislich, Josef Lorenz Rumberger, Iris D. Nagtegaal, María Rodríguez Martínez, Inti Zlobec:
HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology. 61-86 - Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs. 87-102 - Moinak Bhattacharya, Prateek Prasanna:
GazeDiff: A radiologist visual attention guided diffusion model for zero-shot disease classification. 103-118 - Benjamin Billot, Neel Dey, Esra Abaci Turk, Ellen Grant, Polina Golland:
Network conditioning for synergistic learning on partial annotations. 119-130 - Christopher Boland, Keith A. Goatman, Sotirios A. Tsaftaris, Sonia Dahdouh:
There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis. 131-150 - Lukas Buess, Marijn F. Stollenga, David Schinz, Benedikt Wiestler, Jan Kirschke, Andreas K. Maier, Nassir Navab, Matthias Keicher:
Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis. 151-167 - Luc Builtjes, Monique Brink, Souraya Belkhir, Bram van Ginneken, Alessa Hering:
Evaluating ChatGPT's Performance in Generating and Assessing Dutch Radiology Report Impressions. 168-183 - Arunava Chakravarty, Taha Emre, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency. 184-198 - Alexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten:
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation. 199-219 - Eduard Chelebian, Christophe Avenel, Julio León, Chung-Chau Hon, Carolina Wählby:
Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics. 220-233 - Xuhang Chen, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin:
FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising. 234-249 - Yi Cheng, Tingting Chen, Yaojun Hu, Xiangqian Meng, Zuozhu Liu, Danny Chen, Jian Wu, Haochao Ying:
MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst. 250-262 - Yeongjae Cho, Taehee Kim, Heejun Shin, Sungzoon Cho, Dongmyung Shin:
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays. 263-275 - Raoul Sallé de Chou, Matthew Sinclair, Sabrina R. Lynch, Nan Xiao, Laurent Najman, Irene E. Vignon-Clementel, Hugues Talbot:
Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation. 276-288 - Simon Dahan, Logan Zane John Williams, Daniel Rueckert, Emma Claire Robinson:
The Multiscale Surface Vision Transformer. 289-305 - Simon Dahan, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Emma Claire Robinson:
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders. 306-325 - Aviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf:
Video Polyp Segmentation using Implicit Networks. 326-337 - Valentine Wargnier-Dauchelle, Thomas Grenier, Michaël Sdika:
An unexpected confounder: how brain shape can be used to classify MRI scans ? 338-351 - Méghane Decroocq, Binbin Xu, Katherine L. Thompson-Peer, Adrian Moore, Henrik Skibbe:
Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation. 352-366 - Basar Demir, Marc Niethammer:
Multimodal Image Registration Guided by Few Segmentations from One Modality. 367-390 - Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis P. Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu:
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation. 391-405 - Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. 406-425 - Caner Ercan, Xiaoxi Pan, Thomas G. Paulson, Matthew D. Stachler, Carlo C. Maley, William M. Grady, Yinyin Yuan:
Predicting DNA Content Abnormalities in Barrett's Esophagus: A Weakly Supervised Learning Paradigm. 426-438 - Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel:
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. 439-451 - Rutger R. H. Fick, Christof Bertram, Marc Aubreville:
Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping. 452-464 - Moritz Fuchs, Ssharvien Kumar R. Sivakumar, Mirko Schöber, Niklas Woltering, Marie-Lisa Eich, Leonille Schweizer, Anirban Mukhopadhyay:
HARP: Unsupervised Histopathology Artifact Restoration. 465-479 - Bernhard Föllmer, Kenrick Schulze, Christian Wald, Sebastian Stober, Wojciech Samek, Marc Dewey:
Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure. 480-503 - Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Hans Meine:
Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction. 504-519 - Robert Graf, Hendrik Kristian Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch, Matan Atad, Suprosanna Shit, Bjoern H. Menze, Mark Mühlau, Johannes C. Paetzold, Daniel Rueckert, Jan Kirschke:
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation. 520-537 - Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten:
Multi-Objective Learning for Deformable Image Registration. 538-553 - Hanxue Gu, Roy J. Colglazier, Jikai Zhang, Robert Lark, Benjamin Alman, Maciej A. Mazurowski:
Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation. 554-576 - Louis D. van Harten, Rudolf Leonardus Mirjam van Herten, Ivana Isgum:
REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration. 577-595 - Mattias P. Heinrich, Lasse Hansen:
Implicit neural obfuscation for privacy preserving medical image sharing. 596-609 - Katharina V. Hoebel, Jesseba Fernando, William Lotter:
Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification. 610-640 - Jiesi Hu, Yang Shang, Yanwu Yang, Xutao Guo, Hanyang Peng, Ting Ma:
ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation. 641-656 - Sofia Vargas Ibarra, Vincent Vigneron, Sonia Garcia-Salicetti, Hichem Maaref, Jonathan Kobold, Nicolas Chausson, Yann L'Hermitte, Didier Smadja:
A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic stroke. 657-671 - Mohammad Mohaiminul Islam, Coen de Vente, Bart Liefers, Caroline Klaver, Erik J. Bekkers, Clara I. Sánchez:
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions. 672-693 - Sanaz Jarimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof:
Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning. 694-707 - Jue Jiang, Harini Veeraraghavan:
Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation. 708-721 - Jun Jiang, Shi Gu:
Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation. 722-741 - Amith Kamath, Zahira Maur, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Nicolaus Andratschke, Mauricio Reyes:
Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy. 742-753 - Mirko Konstantin, Moritz Fuchs, Anirban Mukhopadhyay:
ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning. 754-767 - Marius Krusen, Floris Ernst:
Real-time MR-based 3D motion monitoring using raw k-space data. 768-781 - Thijs P. Kuipers, Praneeta Konduri, Henk A. Marquering, Erik J. Bekkers:
Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion. 782-792 - Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul H. Yi, Vishwa Sanjay Parekh:
Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations. 793-821 - Tanvi Kulkarni, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam:
Registration Quality Evaluation Metric with Self-Supervised Siamese Networks. 822-840 - Patrick Köhler, Jeremiah Fadugba, Philipp Berens, Lisa M. Koch:
Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images. 841-856 - Wei-Cheng Lai, Matthias Kirchler, Hadya Yassin, Jana Fehr, Alexander Rakowski, Hampus Olsson, Ludger Starke, Jason Michael Millward, Sonia Waiczies, Christoph Lippert:
Heterogeneous Medical Data Integration with Multi-Source StyleGAN. 857-887 - Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger:
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data. 888-902 - Sophie Loizillon, Yannick Jacob, Aurélien Maire, Didier Dormont, Olivier Colliot, Ninon Burgos, Apprimage Study Group:
Detecting Brain Anomalies in Clinical Routine with the β-VAE: Feasibility Study on Age-Related White Matter Hyperintensities. 903-917 - Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori:
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. 918-936 - Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer:
Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation. 937-948 - Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Vicky Goh, Giovanni Montana:
Automated ranking of chest x-ray radiological finding severity in a binary label setting. 949-963 - Caroline Magg, Lukas P. E. Verweij, Maaike A. ter Wee, George S. Buijs, Johannes G. G. Dobbe, Geert J. Streekstra, Leendert Blankevoort, Clara I. Sánchez:
Training-free Prompt Placement by Propagation for SAM Predictions in Bone CT Scans. 964-985 - Karel G. M. Moens, Jonas De Vylder, Matthew B. Blaschko, Tinne Tuytelaars:
Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video. 986-1010 - Carl Molnar, Thomas E. Tavolara, Christopher A. Garcia, David S. McClintock, Mark D. Zarella, Wenchao Han:
IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis. 1011-1025 - Sara Mínguez Monedero, Fabian Westhaeusser, Ehsan Yaghoubi, Simone Frintrop, Marina Zimmermann:
RADR: A Robust Domain-Adversarial-based Framework for Automated Diabetic Retinopathy Severity Classification. 1026-1039 - Julie Mordacq, Léo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton:
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities. 1040-1055 - Eugenia Moris, Ignacio Larrabide, José Ignacio Orlando:
Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images. 1056-1072 - Abbas Omidi, Amirmohammad Shamaei, Anouk Verschuu, Regan King, Lara Leijser, Roberto Souza:
Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant Features. 1073-1085 - Ashay Patel, Mark S. Graham, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models. 1086-1097 - Maria Perez-Caballero, Sergio Morell-Ortega, Marina Ruiz-Perez, Pierrick Coupé, José V. Manjón:
Unsupervised Deep Learning Method for Bias Correction. 1098-1106 - Lena Philipp, Maarten de Rooij, John Hermans, Matthieu Rutten, Horst Karl Hahn, Bram van Ginneken, Alessa Hering:
Annotation-Efficient Strategy for Segmentation of 3D Body Composition. 1107-1127 - Oscar Pina, Eduard Dorca, Verónica Vilaplana:
Cell-DETR: Efficient cell detection and classification in WSIs with transformers. 1128-1141 - Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal:
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models. 1142-1165 - Qiehe Sun, Doukou Jiang, Jiawen Li, Renao Yan, Yonghong He, Tian Guan, Zhiqiang Cheng:
NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification. 1166-1178 - Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou:
Slide-SAM: Medical SAM Meets Sliding Window. 1179-1195 - Aimon Rahman, Vishal M. Patel:
UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training. 1196-1206 - Amin Ranem, Mohamed Afham Mohamed Aflal, Moritz Fuchs, Anirban Mukhopadhyay:
UnCLe SAM: Unleashing SAM's Potential for Continual Prostate MRI Segmentation. 1207-1220 - Kumari Rashmi, Ayantika Das, NagaGayathri Matcha, Keerthi Ram, Mohanasankar Sivaprakasam:
Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder. 1221-1236 - Habib Rebbah, Magalie Viallon, Pierre Croisille, Timothé Boutelier:
Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonance. 1237-1256 - Tianyi Ren, Abhishek Sharma, Juampablo Heras Rivera, Lakshmi Harshitha Rebala, Ethan Honey, Agamdeep Chopra, Mehmet Kurt:
Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models. 1257-1266 - Isabel Rio-Torto, Jaime S. Cardoso, Luís Filipe Teixeira:
Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification. 1267-1281 - Mariia Rizhko, Lauren Erdman, Mandy Rickard, Kunj Sheth, Daniel Alvarez, Kyla N. Velear, Megan A. Bonnett, Christopher S. Cooper, Gregory E. Tasian, John Weaver, Alice X. Xiang, Armando J. Lorenzo, Anna Goldenberg:
Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios. 1282-1296 - Dattatreyo Roy, Angshuman Paul:
Anomaly-focused Single Image Super-resolution with Artifact Removal for Chest X-rays using Distribution-aware Diffusion Model. 1297-1309 - Corentin Royer, Bjoern H. Menze, Anjany Sekuboyina:
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models. 1310-1327 - Daniel Sanderson, Pablo M. Olmos, Carlos Fernandez del Cerro, Manuel Desco, Mónica Abella:
Diffusion X-ray image denoising. 1328-1340 - Daniel Scholz, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler:
Imbalance-aware loss functions improve medical image classification. 1341-1356 - Johannes Schwarz, Lena Will, Jörg Wellmer, Axel Mosig:
A Patch-based Student-Teacher Pyramid Matching Approach to Anomaly Detection in 3D Magnetic Resonance Imaging. 1357-1370 - Maxime Seince, Loïc Le Folgoc, Luiz Augusto Facury de Souza, Elsa D. Angelini:
Dense Self-Supervised Learning for Medical Image Segmentation. 1371-1386 - Tal Shaharabany, Lior Wolf:
Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM. 1387-1400 - Amit Sharma, Ekansh Chauhan, Megha S. Uppin, Liza Rajasekhar, C. V. Jawahar, P. K. Vinod:
Lupus Nephritis Subtype Classification with only Slide Level Labels. 1401-1411 - Jiachen Shen, Wenxuan Wang, Chen Chen, Jianbo Jiao, Jing Liu, Yan Zhang, Shanshan Song, Jiangyun Li:
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation. 1412-1433 - Lulin Shi, Xingzhong Hou, Ivy H. M. Wong, Simon C. K. Chan, Zhenghui Chen, Claudia T. K. Lo, Terence T. W. Wong:
ThickV-Stain: Unprocessed Thick Tissues Virtual Staining for Rapid Intraoperative Histology. 1434-1447 - Yasin Shokrollahi, Karina Pinao Gonzales, Maria Esther Salvatierra, Simon P. Castillo, Tanishq Gautam, Pingjun Chen, Leticia Rodriguez, Sara Ranjbar, Patient Mosaic Team, Luisa Solis-Soto, Yinyin Yuan, Xiaoxi Pan:
Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-Labeling. 1448-1461 - Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert:
SINR: Spline-enhanced implicit neural representation for multi-modal registration. 1462-1474 - Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina:
[Citation needed] Data usage and citation practices in medical imaging conferences. 1475-1496 - Arvapalli Sai Susmitha, Vinay P. Namboodiri:
Analysis of Transformers for Medical Image Retrieval. 1497-1512 - Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko:
Nuclei Segmentation in Histopathological Images with Enhanced U-Net3+. 1513-1530 - Robin Trombetta, Olivier Rouvière, Carole Lartizien:
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains. 1531-1552 - Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett Allan Landman, Daguang Xu, Yufan He, Vishwesh Nath:
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. 1553-1570 - Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler:
VariViT: A Vision Transformer for Variable Image Sizes. 1571-1583 - Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland:
Shape of my heart: Cardiac models through learned signed distance functions. 1584-1605 - Lucas de Vries, Rudolf Leonardus Mirjam van Herten, Jan W. Hoving, Ivana Isgum, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Stratis Gavves:
Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke. 1606-1626 - Vibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Target and task specific source-free domain adaptive image segmentation. 1627-1639 - Jian Wang, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour:
Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning. 1640-1651 - Xinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou:
OFELIA: Optical Flow-based Electrode LocalIzAtion. 1652-1669 - Ke Wang, Ningyuan Shan, Henry Gouk, Iris Szu-Szu Ho:
Skin Malignancy Classification Using Patients' Skin Images and Meta-data: Multimodal Fusion for Improving Fairness. 1670-1686 - Bram De Wilde, Anindo Saha, Maarten de Rooij, Henkjan Huisman, Geert Litjens:
Medical diffusion on a budget: Textual Inversion for medical image generation. 1687-1706 - Jiqing Wu, Ingrid Berg, Viktor H. Koelzer:
IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup. 1707-1724 - Anna M. Wundram, Paul Fischer, Stephan Wunderlich, Hanna Faber, Lisa M. Koch, Philipp Berens, Christian F. Baumgartner:
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach. 1725-1740 - Weiyi Xie, Nathalie Willems, Nikolas Lessmann, Tom Gibbons, Daniele De Massari:
Semi-Supervised Segmentation via Embedding Matching. 1741-1753 - Bowen Xin, Tony Young, Claire E. Wainwright, Tamara Blake, Léo Lebrat, Thomas Gaass, Thomas Benkert, Alto Stemmer, David Coman, Jason Dowling:
Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs. 1754-1770 - Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas:
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. 1771-1784 - Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. 1785-1800 - Hadya Yassin, Jana Fehr, Wei-Cheng Lai, Alina Krichevsky, Alexander Rakowski, Christoph Lippert:
Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer's Disease Data. 1801-1822 - Sida Yi, Yuesheng Zhu, Guibo Luo:
PAAN: Pyramid Attention Augmented Network for polyp segmentation. 1823-1840 - Goksenin Yuksel, Koen Eppenhof, Jaap Kroes, Marcel Worring:
Style Randomization Improves the Robustness of Breast Density Estimation in MR Images. 1841-1850 - Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang:
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation. 1851-1861 - Guangyao Zheng, Vladimir Braverman, Jeffrey Leal, Steven Rowe, Doris G. Leung, Michael A. Jacobs, Vishwa Sanjay Parekh:
Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers. 1862-1877 - Meng Zhou, Farzad Khalvati:
Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer. 1878-1897 - Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine E. Davey:
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery. 1898-1926 - Alexander M. Zolotarev, Abbas Khan Rayabat Khan, Gregory G. Slabaugh, Caroline H. Roney:
Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins. 1927-1938
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