Preface

; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:i-xvi

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Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-scale Clinical and OCT Datasets

Matthew Anderson, Veronica Corona, Agnieszka Stankiewicz, Maged Habib, David H. Steel, Boguslaw Obara; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1-14

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Two Heads Are Enough: DualU-Net, a Fast and Efficient Architecture for Nuclei Instance Segmentation

David Anglada-Rotger, Berta Jansat, Ferran Marques, Montse Pardàs; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:15-29

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Evaluation of Virtual Stain Multiplexed CD68 for Macrophage Detection in NSCLC PD-L1 Slides

Elad Arbel, Oded Ben-David, Itay Remer, Amir Ben-Dor, Daniela Rabkin, Sarit Aviel-Ronen, Frederik Aidt, Tine Hagedorn-Olsen, Lars Jacobsen, Kristopher Kersch, Jim Christian, Quyen Nguyen, Anya Tsalenko; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:30-58

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Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest Computed Tomography using Weakly Supervised Deep Learning from Free-text Radiology Report

Xuguang Bai, Mingxuan Liu, Yifei Chen, Hongjia Yang, Qiyuan Tian; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:59-81

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GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRI

Levente Baljer, Ula Briski, Robert Leech, Niall J Bourke, Kirsten A Donald, Layla E Bradford, Simone R Williams, Sadia Parkar, Sidra Kaleem, Salman Osmani, Sean CL Deoni, Steven CR Williams, Rosalyn J Moran, Emma C. Robinson, František Váša; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:82-99

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Vector Representations of Vessel Trees

James Batten, Michiel Schaap, Matthew Sinclair, Ying Bai, Ben Glocker; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:100-126

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SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation

Jacqueline Isabel Bereska, Hamed Karimi, Reza Samavi; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:127-152

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DiffRGenNet: Difference-aware Medical Report Generation

Minghao Bian, Kun Zhang, Dexin Zhao, S Kevin Zhou; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:153-166

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RCSegNeXt: Efficient multi-scale ConvNeXt for rectal cancer segmentation from sagittal MRI scans

Wang Bo, Ting Xue, Leyang Pan, Dingfu Huang, Yi Xiao, Li Fan, Zaiyi Liu, Shiyuan Liu, S Kevin Zhou; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:167-182

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Staging Liver Fibrosis with Hepatic Perivascular Adipose Tissue as a CT Biomarker

Skylar Chan, Tejas Sudharshan Mathai, Praveen T.S. Balamuralikrishna, Vivek Batheja, Jianfei Liu, Meghan G Lubner, Perry J Pickhardt, Ronald Summers; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:183-194

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Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology

Fuyao Chen, Yuexi Du, Tal Zeevi, Nicha C Dvornek, John A Onofrey; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:195-213

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Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales

Zijie Cheng, Boxuan Li, Andre Altmann, Pearse Keane, Yukun Zhou; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:214-225

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Foundation Model Ensemble for Out-of-Distribution Generalization: Predicting Lymph Node Metastasis in Early Gastric Cancer Using Whole-Slide Imaging

Woojin Chung, Yujun Park, Yoonho Nam; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:226-238

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Predicting the Year of Total Knee Replacement: A Transformer-Based Multimodal Approach

Ozkan Cigdem, Refik Soyak, Kyunghyun Cho, Cem M Deniz; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:239-252

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Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis

Valentina Corbetta, Regina Beets-Tan, Jaime S Cardoso, Wilson Silva; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:253-279

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SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation

Badhan Kumar Das, Ajay Singh, Saahil Islam, Gengyan Zhao, Andreas Maier; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:280-292

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CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels

Ruining Deng, Yihe Yang, David J Pisapia, Benjamin L Liechty, Junchao Zhu, Juming Xiong, Junlin Guo, Zhengyi Lu, Jiacheng Wang, Xing Yao, Runxuan Yu, Rendong Zhang, Gaurav Rudravaram, Mengmeng Yin, Pinaki Sarder, Haichun Yang, Yuankai Huo, Mert R. Sabuncu; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:293-309

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Visual Prompt Engineering for Vision Language Models in Radiology

Stefan Denner, Markus Ralf Bujotzek, Dimitrios Bounias, David Zimmerer, Raphael Stock, Klaus Maier-Hein; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:310-326

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MedDelinea: Scalable and Efficient Medical Image Segmentation via Controllable Diffusion Transformers

Gayatri Deshmukh, Onkar Kishor Susladkar, Debesh Jha, Elif Keles, Halil Ertugrul Aktas, Alpay Medetalibeyoglu, Daniela P. Ladner, Amir A. Borhani, Gorkem Durak, Ulas Bagci; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:327-345

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A knowledge-based method for detecting network-induced shape artifacts in synthetic images

Rucha Deshpande, Miguel Lago, Adarsh Subbaswamy, Seyed Kahaki, Jana G Delfino, Aldo Badano, Ghada Zamzmi; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:346-365

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Can Diffusion Models Generalize? Privacy and Fairness Trade-offs for Medical Data Sharing.

Mischa Dombrowski, Bernhard Kainz; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:366-392

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FLAIRBrainSeg: Fine-Grained Brain Segmentation Using FLAIR MRI Only

Le Bot Edern, Rémi Giraud, Boris Mansencal, Thomas Tourdias, Jose V Manjon, Pierrick Coupe; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:393-406

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Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free

Gian Mario Favero, Parham Saremi, Emily Kaczmarek, Brennan Nichyporuk, Tal Arbel; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:407-427

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Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations

Louisa Fay, Jean-Benoit Delbrouck, Thomas Küstner, Bin Yang, Noel C Codella, Matthew P. Lungren, Curtis Langlotz, Sergios Gatidis; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:428-446

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Machine Learning with Scarce Data: Ejection Fraction Prediction Using PLAX View

Zhiyuan Gao, Dominic Yurk, Yaser S. Abu-Mostafa; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:447-457

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Multi-centric Comparison of Deep Learning Models for Lesion Detection in Breast MRI

Kai Geißler, Markus Wenzel, Susanne Diekmann, Heinrich von Busch, Robert Grimm, Hans Meine; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:458-474

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Mitigating analytical variability in fMRI with style transfer

Elodie Germani, Camille Maumet, Elisa Fromont; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:475-493

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FERN: A Fetal Echocardiography Registration Network for 2D-to-3D Alignment

Paula Ramirez Gilliland, David F A Lloyd, Jacqueline Matthew, Reza Razavi, Milou PM van Poppel, Andrew P. King, Maria Deprez; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:494-514

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Segment Anything for Histopathology

Titus Griebel, Anwai Archit, Constantin Pape; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:515-546

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PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization

Alexis Guichemerre, Soufiane Belharbi, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:547-587

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Symmetric Multi-level Gradient-Inverse Consistency Network for Brain Image Registration with Large Deformation

Haoying Bai, Tongtong Che, Jichang Zhang, Shuyu Li; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:588-603

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An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images

Savannah Hays, Lianrui Zuo, Blake E. Dewey, Samuel Remedios, Jinwei Zhang, Ellen M. Mowry, Scott D. Newsome, Aaron Carass, Jerry L Prince; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:604-614

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Curriculum Learning for Language-guided, Multi-modal Detection of Various Pathologies

Laurenz Adrian Heidrich, Aditya Rastogi, Priyank Upadhya, Gianluca Brugnara, Martha Foltyn-Dumitru, Benedikt Wiestler, Philipp Vollmuth; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:615-638

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Fast forward: Rephrasing 3D deformable image registration through density alignment and splatting

Mattias P Heinrich, Alexander Bigalke, Lasse Hansen; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:639-652

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BinaryFormer: 1-bit self-attention for long-range transformers in medical image segmentation and 3D diffusion models

Mattias P Heinrich; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:653-667

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Family of Deep Image Prior Networks for Accelerated 3D LGE-MRI Acquisition with Enhanced Reconstruction

Md Hasibul Husain Hisham, Shireen Elhabian, Ganesh Adluru, Andrew Arai, Eugene Kholmovski, Ravi Ranjan, Edward Dibella; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:668-678

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Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images

Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:679-694

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Feature Attribution for Deep Learning Models through Total Variance Decomposition

Yinzhu Jin, Shen Zhu, Tom Fletcher; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:695-715

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Unsupervised Cellular Anomaly Detection in Toxicological Histopathology

Saketh Juturu, Geetank Raipuria, Raghav Amaravadi, Aman Srivastava, Malini Roy, Nitin Singhal; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:716-734

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MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration

Mokshagna Sai Teja Karanam, Krithika Iyer, Sarang Joshi, Shireen Elhabian; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:735-747

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I2I-Galip: Unsupervised Medical Image Translation Using Generative Adversarial CLIP

Yilmaz Korkmaz, Vishal M. Patel; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:748-762

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HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification

Niklas Kormann, Masoud Ramuz, Zeeshan Nisar, Nadine S. Schaadt, Hendrik Annuth, Benjamin Doerr, Friedrich Feuerhake, Thomas Lampert, Johannes F. Lutzeyer; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:763-786

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Anatomy-Guided Multi-Path CycleGAN for Lung CT Kernel Harmonization

Aravind Krishnan, Thomas Li, Lucas Walker Remedios, Kaiwen Xu, Lianrui Zuo, Kim L. Sandler, Fabien Maldonado, Bennett Allan Landman; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:787-802

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Self-Supervised Synthetic Cerebral Vessel Tree Generation using Semantic Signed Distance Fields

Thijs P. Kuipers, Praneeta R. Konduri, Erik J Bekkers, Henk Marquering; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:803-820

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Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning

Pranav Kulkarni, Adway Kanhere, Eliot Siegel, Paul Yi, Vishwa Sanjay Parekh; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:821-837

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PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion

Amar Kumar, Anita Kriz, Mohammad Havaei, Tal Arbel; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:838-863

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Prostate Cancer Detection in Bi-Parametric MRI using Zonal Anatomy-Guided U-Mamba with Multi-Task Learning

Michael S. Larsen, Syed Farhan Abbas, Gabriel Kiss, Mattijs Elschot, Tone F. Bathen, Frank Lindseth; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:864-881

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Synthetic Data Generated from CT Scans for Patient Pose Assessment

Manuel Laufer, Dominik Mairhöfer, Malte Sieren, Hauke Gerdes, Fabio Leal dos Reis, Arpad Bischof, Thomas Käster, Erhardt Barth, Jörg Barkhausen, Thomas Martinetz; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:882-895

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LUV-Net: Multi-Pattern Lung Ultrasound Video Classification through Pattern-Specific Attention with Efficient Temporal Feature Extraction

Jung Hoon Lee, Changi Kim, Jinwoo Lee, Si Mong Yoon, Kyung-Eui Lee, Hyun-Jun Park, Kwonhyung Hyung, Chang Min Park; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:896-913

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A Balancing Act: Optimizing Classification and Retrieval in Cross-Modal Vision Models

Judith Lefkes, Clément Grisi, Geert Litjens; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:914-930

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Sequence models for continuous cell cycle stage prediction from brightfield images

Louis-Alexandre Leger, Maxine Leonardi, Andrea Salati, Felix Naef, Martin Weigert; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:931-952

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Adversarial Perturbations Improve Generalization of Confidence Prediction in Medical Image Segmentation

Jonathan Lennartz, Thomas Schultz; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:953-964

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Mapping Functional Language Areas with non-Functional Brain MRI

Omri Leshem, Atira Sara Bick, Nahum Kiryati, Netta Levin, Arnaldo Mayer; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:965-977

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Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data

Yujia Li, Han Li, S Kevin Zhou; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:978-993

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PCA-YOLO: A Small Liver Tumor Detection Model with Patch-Contrastive Attention

Xueyang Li, Han Xiao, Zongpeng Weng, Xinrong Hu, Danny Chen, Yiyu Shi; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:994-1007

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Contrastive Patient-level Pretraining Enables Longitudinal and Multimodal Fusion for Lung Cancer Risk Prediction

Thomas Li, Lianrui Zuo, Yihao Liu, Aravind Krishnan, Kim L. Sandler, Thomas A Lasko, Fabien Maldonado, Bennett Allan Landman; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1008-1020

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Scaling Supervision for Free: Leveraging Universal Segmentation Models for Enhanced Medical Image Diagnosis

Yingtai Li, Shuai Ming, Haoran Lai, Fenghe Tang, Wei Wei, S Kevin Zhou; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1021-1040

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Histopathology Image Report Generation by Vision Language Model with Multimodal In-Context Learning

Shih-Wen Liu, Hsuan-Yu Fan, Wei-Ta Chu, Fu-En Yang, Yu-Chiang Frank Wang; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1041-1052

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Zero-shot capability of 2D SAM-family models for bone segmentation in CT scans

Caroline Magg, Clara I. Sánchez, Hoel Kervadec; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1053-1073

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Empirical Analysis of Scaling Vision Foundation Models for Chest X-rays

Ahmed Al Mahrooqi, Prateek Munjal, Ronnie Rajan, Marco AF Pimentel, Praveenkumar Kanithi; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1074-1094

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Unveiling Differences: A Vision Encoder-Decoder Model for Difference Medical Visual Question Answering

Luis-Jesus Marhuenda, Miquel Obrador-Reina, Mohamed Aas-Alas, Alberto Albiol, Roberto Paredes; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1095-1106

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Advancing Medical Image Segmentation with Self-Supervised Learning: A 3D Student-Teacher Approach for Cardiac and Neurological Imaging

Moona Mazher, Daniel C. Alexander, Abdul Qayyum, Steven A Niederer; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1107-1126

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CountXplain: Interpretable Cell Counting with Prototype-Based Density Map Estimation

Abdurahman Ali Mohammed, Wallapak Tavanapong, Catherine Fonder, Donald Sakaguchi; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1127-1144

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Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation

Maria Monzon, Thomas Iff, Ender Konukoglu, Catherine R Jutzeler; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1145-1163

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Data Augmentation for Medical Imaging: Counterfactual Simulation of Acquisition Parameters via Conditional Diffusion Model

Pedro A. Morão, Yasna Forghani, Nuno Louçã, Pedro Gouveia, Mario A. T. Figueiredo, Joao Santinha; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1164-1180

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Surgical Flow Masked Autoencoder for Event Recognition

Mayar Lotfy Mostafa, Anna Alperovich, Dmitrii Fedotov, Ghazal Ghazaei, Stefan Saur, Azade Farshad, Nassir Navab; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1181-1195

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Biologically-Constrained Multi-Label Classification with Learnable Domain Knowledge

Nabil Mouadden, Véronique Vergé, Ahmadreza Arbab, Jean-Baptiste Micol, Elsa Bernard, Aline Renneville, Stergios Christodoulidis, Maria Vakalopoulou; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1196-1212

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Semi-Supervised Skin Lesion Segmentation under Dual Mask Ensemble with Feature Discrepancy Co-Training

Thanh-Huy Nguyen, Thien Nguyen, Xuan Bach Nguyen, Nguyen Lan Vi Vu, Vinh Quang Dinh, Fabrice Meriaudeau; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1213-1226

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Clinical Measurements with Calibrated Instance-Dependent Confidence Interval

Rotem Nizhar, Lior Frenkel, Jacob Goldberger; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1227-1237

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Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models

Felix Nützel, Mischa Dombrowski, Bernhard Kainz; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1238-1257

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MAIS: Memory-Attention for Interactive Segmentation

Mauricio Orbes, Oeslle Lucena, Sebastien Ourselin, M. Jorge Cardoso; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1258-1272

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DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction

Xueqiang Ouyang, Jia Wei, Wenjie Huo, Xiaocong Wang, Rui Li, Jianlong Zhou; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1273-1293

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RaDialog: Large Vision-Language Models for X-Ray Reporting and Dialog-Driven Assistance

Chantal Pellegrini, Ege Özsoy, Benjamin Busam, Benedikt Wiestler, Nassir Navab, Matthias Keicher; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1294-1312

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Imitating Radiological Scrolling: A Glocal-Lobal Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification

Théo Di Piazza, Carole Lazarus, Olivier Nempont, Loic Boussel; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1313-1325

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SRMRI: A Diffusion-Based Super-resolution Framework and Open Dataset for Blind MRI Super-Resolution

Arpan Poudel, Mamata Shrestha, Nian Wang, Ukash Nakarmi; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1326-1341

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Intelligent Lesion Selection: A Novel Method for Longitudinal Assessment of Breast Cancer Lung Metastases

Melika Qahqaie, Veronika A Zimmer, Eduardo Castaneda, Katariina Peltonen, Joonas Laaksolilj, Juho Lähteenmaa, Tobias Heimann, Andreas Maier, Dominik Neumann; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1342-1355

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Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology

Qiuyi Qi, Xin Li, Ming Kong, Zikang Xu, Bingdi Chen, Qiang Zhu, S Kevin Zhou; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1356-1371

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Real-time Breast Lesion Detection in Videos via Spatial-temporal Feature Aggregation

Chao Qin, Jiale Cao, Fahad Shahbaz Khan, Salman Khan, Huazhu Fu, Ehud Ahissar, Rao Muhammad Anwer; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1372-1383

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Training-Free Dataset Pruning for Polyp Segmentation via Community Detection in Similarity Networks

Md Mostafijur Rahman, Radu Marculescu; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1384-1402

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Learning from a Few Shots: Data-efficient Cervical Vertebral Maturation Assessment

Helen Schneider, Aditya Parikh, Priya Priya, Maximilian Broß, Tom Verhofstadt, Anna Konermann, Rafet Sifa; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1403-1417

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Federated Class-Heterogeneous Report Labeling with Surgical Aggregation

Nikhil Shah, Pranav Kulkarni, Florence Doo, Ang Li, Michael A. Jacobs, Vishwa Sanjay Parekh; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1418-1429

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A Vision Foundation Model for Cataract Surgery Using Joint-Embedding Predictive Architecture

Nisarg A Shah, Mingze Xia, Subhasri Vijay, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1430-1444

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Capturing Longitudinal Changes in Brain Morphology Using Temporally Parameterized Neural Displacement Fields.

Aisha L. Shuaibu, Kieran A. Gibb, Peter A. Wijeratne, Ivor J A Simpson; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1445-1464

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DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis

Jérémie Stym-Popper, Nathan Painchaud, Pierre-Yves Courand, Clément Rambour, Nicolas Thome, Olivier Bernard; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1465-1482

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Mesh-Prompted Anatomy Segmentation

Dingjie Su, Yihao Liu, Lianrui Zuo, Benoit Dawant; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1483-1494

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DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention

Xiaoya Tang, Bodong Zhang, Man M. Ho, Beatrice Knudsen, Tolga Tasdizen; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1495-1507

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging

Carolin Teuber, Anwai Archit, Constantin Pape; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1508-1549

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Effective Disjoint Representational Learning for Anatomical Segmentation

Priya Tomar, Aditya Parikh, Philipp Feodorovici, Jan Arensmeyer, Hanno Matthaei, Christian Bauckhage, Helen Schneider, Rafet Sifa; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1550-1567

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Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation

Mei Vaish, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1568-1596

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MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders

Maya Varma, Ashwin Kumar, Rogier van der Sluijs, Sophie Ostmeier, Louis Blankemeier, Pierre Joseph Marcel Chambon, Christian Bluethgen, Jip Prince, Curtis Langlotz, Akshay S Chaudhari; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1597-1626

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Enhancing Wrist Fracture Detection through LLM-Powered Data Extraction and Knowledge-Based Ensemble Learning

Serge Didenko Vasylechko, Andy Tsai, Onur Afacan, Sila Kurugol; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1627-1637

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Cardiac Computed Tomography Angiography Plane Prediction and Comprehensive LV Segmentation

Davis Marc Vigneault, Ashish Manohar, Abraham Hernandez, Krista Tin Chi Wong, Fanwei Kong, Tea Gegenava, Koen Nieman, Dominik Fleischmann; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1638-1652

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Evaluating Shortcut Utilization in Deep Learning Disease Classification through Counterfactual Analysis

Vibujithan Vigneshwaran, Emma A.M. Stanley, Raissa Souza, Erik Ohara, Matthias Wilms, Nils Forkert; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1653-1668

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Neural fields for tissue attenuation curve reconstruction in sparsely sampled time-resolved CT

Lucas de Vries, Rudolf Leonardus Mirjam van Herten, P. Matthijs van der Sluijs, Ivana Isgum, Bart J. Emmer, Charles B.L.M. Majoie, Henk Marquering, Efstratios Gavves; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1669-1687

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STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC

Jiyao Wang, Nicha C Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S Duncan; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1688-1705

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Predicting Prostate Cancer Progression During Active Surveillance Using Longitudinal bpMRI Scans and A Multi-scale Foundation Model

Yifan Wang, Bin Lou, Heinrich von Busch, Robert Grimm, Sanoj Punnen, Dorin Comaniciu, Ali Kamen, Henkjan Huisman, Angela Tong, David Winkel, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar, Steven Shea, Fergus Coakley, Mukesh Harisinghani; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1706-1722

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Improving brain disorder diagnosis with advanced brain function representation and Kolmogorov-Arnold Networks

Tyler Ward, Abdullah Al Zubaer Imran; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1723-1739

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LOTUS: Latent Outpainting Diffusion Model for Three-Dimensional Ultrasound Stitching

Xing Yao, Runxuan Yu, Nick DiSanto, Ehsan Khodapanah Aghdam, Kanyifeechukwu Jane Oguine, Daiwei Lu, Ange Lou, Jiacheng Wang, Dewei Hu, Gabriel A Arenas, Baris Oguz, Alison Marie Pouch, Nadav Schwartz, Brett Byram, Ipek Oguz; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1740-1754

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LiFE-Net: Longitudinal information Fusion for Enhanced lesion detection in unsupervised learning contexts

Walid Yassine, Martin Charachon, Celine Hudelot, Roberto Ardon; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1755-1770

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Joint Supervised and Self-supervised Learning for MRI Reconstruction

George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1771-1794

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A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders

Weifeng Yu, Gang Qu, Young-geun Kim, Lei Xu, Aiying Zhang; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1795-1810

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How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?

Yixin Zhang, Kevin Kramer, Maciej A Mazurowski; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1811-1831

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SSDD-GAN: Single-Step Denoising Diffusion GAN for Cochlear Implant Surgical Scene Completion

Yike Zhang, Eduardo Davalos, Jack Noble; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1832-1844

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MedCL: Learn Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation

Ke Zhang, Vishal M. Patel; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1845-1865

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Anatomy-Guided Surface Diffusion Model for Alzheimer’s Disease Normative Modeling

Jianwei Zhang, Yonggang Shi; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1866-1878

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4D-VQ-GAN: A World Model for Synthesizing Medical Scans at Any Time Point for Personalized Disease Progression Modeling of Idiopathic Pulmonary Fibrosis

An Zhao, Moucheng Xu, Ahmed H. Shahin, Wim Wuyts, Mark G. Jones, Joseph Jacob, Daniel C. Alexander; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1879-1909

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SurgicalSemiSeg: A Semi-Supervised Framework for Laparoscopic Image Segmentation

Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine E Davey; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1910-1929

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Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model

Shen Zhu, Yinzhu Jin, Ifrah Zawar, Tom Fletcher; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1930-1942

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MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics

Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Yucheng Tang, Daguang Xu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yaohong Wang, Haichun Yang, Yuankai Huo; Proceedings of The 8th International Conference on Medical Imaging with Deep Learning, PMLR 301:1943-1955

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