医学 AI

SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy

Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon, Florian Kamp, Mark Savenije, Christina Muijs, Shafak Aluwini, Roel J. H. M. Steenbakkers, Stephanie Beuel, Martijn P. W. Intven, Johannes A. Langendijk, Stefan Both, Stefanie Corradini, Viktor Rogowski, Maarten Terpstra, Niklas Wahl, Christopher Kurz, Guillaume Landry, Matteo Maspero

专题命中 医学数据与评测 ：medical image(abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

Comments 22 pages, 8 tables, 4 figures; Under submission to Medical Physics, as dataset paper for the SynhtRAD2025 Grand Challenge https://synthrad2025.grand-challenge.org/

Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte, Marwin Saehn, Peter Isfort, Christiane Kuhl, Sven Nebelung, Georgios Kaissis, Daniel Truhn

专题命中 医学数据与评测 ：medical AI(title,abstract)；radiology(comments,journal_ref)；分类 cs.LG、eess.IV

Comments Published in Radiology: Artificial Intelligence. RSNA

Journal ref Radiology: Artificial Intelligence, 2024, 6(1), e230212

How Far Has AI Come in Liver Fibrosis Staging? A Large-Scale Real-World Dataset and Benchmark

AI在肝纤维化分期中取得了多大进展？大规模真实世界数据集与基准

Yuanye Liu, Nannan Shi, Zhejia Zhang, Hanxiao Zhang, Boya Wang, Derong Yu, Nao Wang, Yuxin Jin, Yang Zhou, Kunhao Yuan, Siqi Wang, Lida Yang, Xu Qiao, Wentao Liu, Xuelei He, Xin Hong, Guoyan Zheng, Xin Chen, Guang-Zhong Yang, Le Zhang, Lei Li, Yuxin Shi, Xiahai Zhuang

机构 * School of Data Science, Fudan University, Shanghai, China（复旦大学数据科学学院） ； Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China（复旦大学上海公共卫生临床中心放射科） ； Department of Electrical and Computer Engineering, Northwestern University, Evanston, USA（西北大学电气与计算机工程系） ； Shanghai Key Laboratory of Flexible Medical Robotics, Tongren Hospital, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China（上海柔性医疗机器人重点实验室） ； School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China（上海交通大学生物医学工程学院） ； School of Computer Science, University of Nottingham, Nottingham, UK（诺丁汉大学计算机科学学院） ； Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China（上海交通大学生物医学工程学院医疗机器人研究所） ； College of Computer Science and Technology, Huaqiao University, Xiamen, China（华侨大学计算机科学与技术学院） ； School of Electronic Information (School of Artificial Intelligence), Northwest University, Xi'an, China（西北大学电子信息学院（人工智能学院）） ； Department of Mechanical Engineering, University College London, London, UK（伦敦大学学院机械工程系） ； Institute of Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh, UK（爱丁堡大学神经科学与心血管研究学院） ； CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China（中国科学院纳米科学卓越中心） ； School of Control Science and Engineering, Shandong University, Jinan, China（山东大学控制科学与工程学院） ； School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, UK（伯明翰大学工程学院） 纠错

专题命中 医学数据与评测 ：MRI(summary_cn,abstract)；分类 cs.CV；medical image(comments)

AI总结 基于多中心、多序列MRI的大规模真实世界数据集LiFS，系统评估了9种AI方法在肝纤维化分期中的表现，发现最佳AI与资深放射科医生相当，但跨中心异质性和标签不平衡仍是主要挑战。

Comments Submitted to Medical Image Analysis

Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration

Enzo Ferrante, Puneet K. Dokania, Rafael Marini Silva, Nikos Paragios

专题命中 医学数据与评测 ：biomedical(abstract,comments)；medical image(abstract)；MRI(abstract)；CT(abstract)

Comments Accepted for publication in IEEE Journal of Biomedical and Health Informatics, 2018

MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI

MosaicMRI：一个多样化的数据集和基准用于原始骨科MRI

Paula Arguello, Berk Tinaz, Mohammad Shahab Sepehri, Maryam Soltanolkotabi, Mahdi Soltanolkotabi

机构 * University of Southern California（南加州大学） ； USC Center on AI Foundations for the Sciences（南加州大学科学人工智能基础中心） ； University of Utah（犹他大学） 纠错

专题命中 医学数据与评测 ：MRI(title,abstract)；分类 cs.CV、cs.LG、eess.SP

AI总结 本文提出MosaicMRI数据集，用于训练和评估机器学习方法，通过多样化解剖结构和成像参数，研究模型在不同场景下的表现，揭示跨解剖相关性的重要性。

Comments 15 pages, 6 figures, preliminary version

Projection Guided Personalized Federated Learning for Low Dose CT Denoising

投影引导的个性化联邦学习用于低剂量CT去噪

Anas Zafar, Muhammad Waqas, Amgad Muneer, Rukhmini Bandyopadhyay, Jia Wu

机构 * The University of Texas MD Anderson Cancer Center（德克萨斯大学MD安德森癌症中心） 纠错

专题命中 医学数据与评测 ：CT(title,abstract)；分类 cs.CV、cs.LG、eess.IV

AI总结 本文提出ProFed框架，通过在投影空间进行双层个性化，解决联邦学习中图像空间个性化难以区分扫描器噪声与患者解剖结构的问题，实验表明其在低剂量CT去噪中性能优越。

Comments 17 pages, 3 Figures, 6 Tables

Before the Clinic: Transparent and Operable Design Principles for Healthcare AI

Alexander Bakumenko, Aaron J. Masino, Janine Hoelscher

机构 * Clemson University（克莱姆森大学） 纠错

专题命中 医学数据与评测 ：healthcare AI(title,abstract)；clinical AI(abstract)

NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI

Cosmin I. Bercea, Jun Li, Philipp Raffler, Evamaria O. Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam L. Beyrle, Che Liu, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler

机构 * Technical University of Munich（慕尼黑技术大学） ； Klinikum Rechts der Isar（莱比锡医院） ； Helmholtz Center Munich（慕尼黑海德堡中心） ； FAU Erlangen-Nürnberg（埃尔朗根-纽伦堡弗赖堡大学） ； Imperial College London（伦敦帝国理工学院） ； King’s College London（伦敦国王学院） 纠错

专题命中 医学数据与评测 ：MRI(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions

Gajan Mohan Raj, Michael G. Morley, Mohammad Eslami

机构 * High Technology High School（高新技术高中） ； Massachusetts Eye and Ear Harvard Medical School（马萨诸塞眼耳医院哈佛医学院） ； Harvard Medical School（哈佛医学院） ； Harvard Ophthalmology AI Lab（哈佛眼科人工智能实验室） 纠错

专题命中 医学数据与评测 ：diagnosis(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST

Fuping Wu, Bartlomiej W. Papiez

专题命中 医学数据与评测 ：medical image(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Comments submitted to MIDL2025

FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy

Rishit Kapoor, Jesher Joshua, Muralidharan Vijayarangan, Natarajan B

专题命中 医学数据与评测 ：MRI(title)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 6 pages, 4 figures

The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images

Nicholas Konz, Maciej A. Mazurowski

专题命中 医学数据与评测 ：medical image(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Comments ICLR 2024. Code: https://github.com/mazurowski-lab/intrinsic-properties

Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds

Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Paola Grosso, Zhiming Zhao

专题命中 医学数据与评测 ：medical image(title,abstract)；pathology(abstract)

AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation

Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun

专题命中 医学数据与评测 ：CT(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 17 pages, 7 figures

Cross-Modal Vertical Federated Learning for MRI Reconstruction

Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng

专题命中 医学数据与评测 ：MRI(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 12 pages, 7 figures

AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT

Edward H. Lee, Brendan Kelly, Emre Altinmakas, Hakan Dogan, Maryam Mohammadzadeh, Errol Colak, Steve Fu, Olivia Choudhury, Ujjwal Ratan, Felipe Kitamura, Hernan Chaves, Jimmy Zheng, Mourad Said, Eduardo Reis, Jaekwang Lim, Patricia Yokoo, Courtney Mitchell, Golnaz Houshmand, Marzyeh Ghassemi, Ronan Killeen, Wendy Qiu, Joel Hayden, Farnaz Rafiee, Chad Klochko, Nicholas Bevins, Faeze Sazgara, S. Simon Wong, Michael Moseley, Safwan Halabi, Kristen W. Yeom

专题命中 医学数据与评测 ：CT(title,abstract)；分类 cs.CV、cs.LG、eess.IV

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis

Onat Dalmaz, Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman UH Dar, Emir Ceyani, Salman Avestimehr, Tolga Çukur

专题命中 医学数据与评测 ：MRI(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Rethinking Machine Learning Model Evaluation in Pathology

Syed Ashar Javed, Dinkar Juyal, Zahil Shanis, Shreya Chakraborty, Harsha Pokkalla, Aaditya Prakash

专题命中 医学数据与评测 ：pathology(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Comments ICLR 2022 ML Evaluation Workshop

Federated Learning of Generative Image Priors for MRI Reconstruction

Gokberk Elmas, Salman UH Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur

专题命中 医学数据与评测 ：MRI(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu

专题命中 医学数据与评测 ：diagnosis(title,abstract)；分类 cs.CV、cs.LG、eess.IV

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni

专题命中 医学数据与评测 ：pathology(title)；MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Jure Zbontar, Florian Knoll, Anuroop Sriram, Tullie Murrell, Zhengnan Huang, Matthew J. Muckley, Aaron Defazio, Ruben Stern, Patricia Johnson, Mary Bruno, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael Rabbat, Pascal Vincent, Nafissa Yakubova, James Pinkerton, Duo Wang, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

专题命中 医学数据与评测 ：MRI(title,abstract)；分类 cs.CV、cs.LG、eess.SP

Comments 35 pages, 10 figures

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

Jong Bum Won, Wesley De Neve, Joris Vankerschaver, Utku Ozbulak

机构 * Center for Biosystems ； Biotech Data Science, Ghent University Global Campus, Incheon, Republic of Korea IDLab, ELIS, Ghent University, Ghent, Belgium Department of Applied Mathematics, Computer Science ； Statistics, Ghent University, Ghent, Belgium ( ) 纠错

专题命中 医学数据与评测 ：MRI(title,abstract)；分类 cs.CV、eess.IV；medical image(comments)

Comments Accepted for publication in the 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025

SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus

SpineBench：一种临床显著、层级感知的基准，由SpineMed-450k语料库驱动

Ming Zhao, Wenhui Dong, Yang Zhang, Xiang Zheng, Zhonghao Zhang, Zian Zhou, Yunzhi Guan, Liukun Xu, Wei Peng, Zhaoyang Gong, Zhicheng Zhang, Dachuan Li, Xiaosheng Ma, Yuli Ma, Jianing Ni, Changjiang Jiang, Lixia Tian, Qixin Chen, Kaishun Xia, Pingping Liu, Tongshun Zhang, Zhiqiang Liu, Zhongyan Bi, Chenyang Si, Tiansheng Sun, Caifeng Shan

专题命中 医学数据与评测 ：MRI(abstract)；CT(abstract)；pathology(abstract)；diagnosis(abstract)

AI总结 SpineBench通过SpineMed-450k语料库驱动，针对脊柱疾病提供临床显著的层级感知基准，评估模型在多模态数据下的细粒度推理能力。

RFUDS -- A Brain Metastases Imaging Dataset of Radiotherapy Follow-Up

Margarida Fernandes, José Soares, Matheus Silva, Crystian Saraiva, Victor Alves

专题命中 医学数据与评测 ：medical image(abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease

Xiaowei Xu, Tianchen Wang, Jian Zhuang, Haiyun Yuan, Meiping Huang, Jianzheng Cen, Qianjun Jia, Yuhao Dong, Yiyu Shi

专题命中 医学数据与评测 ：diagnosis(abstract,comments)；medical image(abstract)；CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 11 pages, 6 figures, 2 tables, published at MICCAI 2020. The diagnosis info of the dataset is updated (thanks to the help of Kadirbarut from Bilgiuzayi)

Towards a more realistic evaluation of machine learning models for bearing fault diagnosis

迈向更现实的机器学习模型在轴承故障诊断中的评估

João Paulo Vieira, Victor Afonso Bauler, Rodrigo Kobashikawa Rosa, Danilo Silva

机构 * Department of Electrical and Electronic Engineering, Federal University of Santa Catarina（电气与电子工程系，圣卡塔琳娜联邦大学） ； Department of Mechanical Engineering, Federal University of Santa Catarina（机械工程系，圣卡塔琳娜联邦大学） 纠错

专题命中 医学数据与评测 ：diagnosis(title,abstract)；分类 cs.LG、eess.SP

AI总结 本文探讨了振动基轴承故障诊断中数据泄漏问题，提出无泄漏评估方法，改进分类任务为多标签问题，并通过四个数据集验证了方法对提升工业故障诊断系统可靠性的重要性。

Comments To appear in Mechanical Systems and Signal Processing

Journal ref Mechanical Systems and Signal Processing, Volume 258, 2026, 114640

Comparative Analysis of Binarization Methods For Medical Image Hashing On Odir Dataset

对医疗图像哈希的二值化方法的比较分析：ODIR数据集

Nedim Muzoglu

专题命中 医学数据与评测 ：medical image(title,abstract)；分类 cs.CV、eess.IV

AI总结 本文提出SDH方法在ODIR数据集上实现了优于其他二值化方法的医疗图像哈希性能，以更少的位数达到接近最先进的检索准确率。

Comments After publication of the conference version, we identified fundamental methodological and evaluation issues that affect the validity of the reported results. These issues are intrinsic to the current work and cannot be addressed through a simple revision. Therefore, we request full withdrawal of this submission rather than replacement

Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges

对医疗AI挑战中显著性、指标选择和人口公平性的审计

Ariel Lubonja, Pedro R. A. S. Bassi, Wenxuan Li, Hualin Qiao, Randal Burns, Alan L. Yuille, Zongwei Zhou

机构 * Johns Hopkins University（约翰霍普金斯大学） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；分类 cs.CV、cs.LG

AI总结 RankInsight工具包通过计算显著性图、重新计算排行榜和审计交叉公平性，解决医疗AI挑战中的显著性、指标选择和人口公平性问题。

Comments MICCAI 2025 Workshop on Machine Learning in Medical Imaging

Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction

Valiyeh A. Nezhad, Gokberk Elmas, Bilal Kabas, Fuat Arslan, Emine U. Saritas, Tolga Çukur

机构 * Department of Electrical and Electronics Engineering（电子工程系） ； National Magnetic Resonance Research Center（国家磁共振研究中心） ； Bilkent University（比尔肯特大学） 纠错

专题命中 医学数据与评测 ：MRI(title,abstract)；分类 cs.CV、eess.IV