医学 AI

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

Xindi Hu, Limin Wang, Xin Yang, Xu Zhou, Wufeng Xue, Yan Cao, Shengfeng Liu, Yuhao Huang, Shuangping Guo, Ning Shang, Dong Ni, Ning Gu

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

Comments Accepted by IEEE Journal of Biomedical and Health Informatics. 14 pages, 10 figures and 10 tables

Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19

Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyungsang Kim, Younggon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

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

Comments Aoxiao Zhong and Xiang Li contribute equally to this work

Journal ref Medical Image Analysis. 70 (2021) 101993

A Benchmark of Medical Out of Distribution Detection

Tianshi Cao, Chin-Wei Huang, David Yu-Tung Hui, Joseph Paul Cohen

专题命中 医学数据与评测 ：diagnosis(abstract)；分类 cs.CV、cs.LG；biomedical(comments)

Comments Submitted to Machine Learning for Biomedical Imaging Journal (MELBA)

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-Gonzalez, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, Olivier Colliot

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

Journal ref Medical Image Analysis, p.101694. 2020

BrainPath: A Biologically-Informed AI Framework for Individualized Aging Brain Generation

BrainPath: 一种基于生物信息的AI框架，用于个性化衰老脑生成

Yifan Li, Javad Sohankar, Ji Luo, Jing Li, Yi Su

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

AI总结 BrainPath通过引入三种架构创新，实现了个性化衰老脑生成，提高了生成准确性和解剖学忠实度。

Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics

Jiahe Li, Xin Chen, Fanqi Shen, Junru Chen, Yuxin Liu, Daoze Zhang, Zhizhang Yuan, Fang Zhao, Meng Li, Yang Yang

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； DiFint Technology (Shanghai) Co（上海迪芬特技术有限公司） ； Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences（中国科学院上海微系统与信息技术研究所） ； School of Graduate Study, University of Chinese Academy of Sciences（中国科学院大学研究生院） ； The INSIDE Institute for Biological and Artificial Intelligence（生物与人工智能研究所） 纠错

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

A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma

Garima Jain, Sanghamitra Pati, Mona Duggal, Amit Sethi, Abhijeet Patil, Gururaj Malekar, Nilesh Kowe, Jitender Kumar, Jatin Kashyap, Divyajeet Rout, Deepali, Hitesh, Nishi Halduniya, Sharat Kumar, Heena Tabassum, Rupinder Singh Dhaliwal, Sucheta Devi Khuraijam, Sushma Khuraijam, Sharmila Laishram, Simmi Kharb, Sunita Singh, K. Swaminadtan, Ranjana Solanki, Deepika Hemranjani, Shashank Nath Singh, Uma Handa, Manveen Kaur, Surinder Singhal, Shivani Kalhan, Rakesh Kumar Gupta, Ravi. S, D. Pavithra, Sunil Kumar Mahto, Arvind Kumar, Deepali Tirkey, Saurav Banerjee, L. Sreelakshmi

机构 * Indian Council of Medical Research-National Institute for Research in Digital Health & Data Science（印度医学研究理事会-数字健康与数据科学国家研究所） ； Koita Centre of Digital Health（数字健康中心） ； IIT Bombay（印度理工学院-博伊斯） ； Department of Electrical Engineering（电气工程系） ； Division of Non Communicable Diseases（非传染性疾病部门） ； Indian Council of Medical Research（印度医学研究理事会） ； Regional Institute of Medical Sciences（地区医学科学研究所） ； Department of Pathology（病理学系） ； Pt BD Sharma PGIMS（Pt BD Sharma PGIMS医院） ； Institute of Pathology（病理研究所） ； Madras Medical College（马德拉斯医学院） ； SMS Medical College Jaipur（杰伊普尔SMS医学院） ； Department of Otorhinolaryngology（耳鼻喉科系） 纠错

专题命中 医学数据与评测 ：diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

Comments 7 pages, 2 figurs

DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset

Liangrui Pan, Xingchen Li, Zhongyi Chen, Ling Chu, Shaoliang Peng

机构 * Hunan University（湖南大学） ； The Third Xiangya Hospital of Central South University（中南大学湘雅医院第三医院） 纠错

专题命中 医学数据与评测 ：pathology(abstract)；分类 cs.CV、q-bio、eess.IV

Comments Submit to ACM MM2025

Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models

Aurore Bussalb, François Le Gac, Guillaume Jubien, Mohamed Rahmouni, Ruggero G. Bettinardi, Pedro Marinho R. de Oliveira, Phillipe Derambure, Nicolas Gaspard, Jacques Jonas, Louis Maillard, Laurent Vercueil, Hervé Vespignani, Philippe Laval, Laurent Koessler, Ulysse Gimenez

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

Comments 20 pages, 7 figures

Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals

Andrea Protani, Lorenzo Giusti, Chiara Iacovelli, Albert Sund Aillet, Diogo Reis Santos, Giuseppe Reale, Aurelia Zauli, Marco Moci, Marta Garbuglia, Pierpaolo Brutti, Pietro Caliandro, Luigi Serio

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

Comments 7 pages, 7 figures

Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation

Yihan Zhang, Xuanshuo Zhang, Wei Wu, Haohan Wang

专题命中 医学数据与评测 ：pathology(abstract)；分类 cs.CV、cs.LG、q-bio

Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data

Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik

专题命中 医学数据与评测 ：MRI(abstract)；分类 cs.CV、cs.LG、q-bio

Data-Driven Network Neuroscience: On Data Collection and Benchmark

Jiaxing Xu, Yunhan Yang, David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, Eryn Kwon

专题命中 医学数据与评测 ：MRI(abstract)；分类 cs.LG、q-bio、eess.IV

Journal ref Advances in Neural Information Processing Systems, 2023

Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals

Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi

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

Journal ref MLHC 2023

A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data

Chi-en Amy Tai, Hayden Gunraj, Alexander Wong

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

Towards Sparsified Federated Neuroimaging Models via Weight Pruning

Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar, Greg Ver Steeg, Paul Thompson, José Luis Ambite

专题命中 医学数据与评测 ：MRI(abstract)；分类 cs.LG、q-bio、eess.IV

Comments Accepted to 3rd MICCAI Workshop on Distributed, Collaborative and Federated Learning (DeCaF, 2022)

Decision Forest Based EMG Signal Classification with Low Volume Dataset Augmented with Random Variance Gaussian Noise

Tekin Gunasar, Alexandra Rekesh, Atul Nair, Penelope King, Anastasiya Markova, Jiaqi Zhang, Isabel Tate

专题命中 医学数据与评测 ：biomedical(abstract)；分类 cs.LG、q-bio、eess.SP

Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory

Alpay Tekin, Ahmed Nebli, Islem Rekik

专题命中 医学数据与评测 ：diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Membership Inference Attacks on Deep Regression Models for Neuroimaging

Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg

专题命中 医学数据与评测 ：MRI(abstract)；分类 cs.LG、q-bio、eess.IV

Comments To appear at Medical Imaging with Deep Learning 2021 (MIDL 2021)

PanNuke Dataset Extension, Insights and Baselines

Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benes, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir Rajpoot

专题命中 医学数据与评测 ：pathology(abstract)；分类 cs.CV、q-bio、eess.IV

Comments Work in progress

Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu

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

Comments Medical Image Analysis

Journal ref Heran Yang, et al. Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images, Medical Image Analysis, 2018, ISSN 1361-8415

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech

NeuroXVocal：通过非侵入性分析提示语音检测和解释阿尔茨海默病

Nikolaos Ntampakis, Konstantinos Diamantaras, Ioanna Chouvarda, Magda Tsolaki, Vasileios Argyriou, Panagiotis Sarigianndis

机构 * International Hellenic University, Sindos, Greece MetaMind Innovations, Kozani, Greece Aristotle University of Thessaloniki, Thessaloniki, Greece Greek Association of Alzheimer’s Disease \& Related Disorders, Thessaloniki, Greece Kingston University London, London, UK University of Western Macedonia, Kozani, Greece 纠错

专题命中 医学数据与评测 ：diagnosis(abstract)；分类 cs.LG、q-bio；medical image(journal_ref)

AI总结 NeuroXVocal通过非侵入性语音分析实现阿尔茨海默病的检测与解释，结合高精度分类和文献支持的可解释性，提升临床诊断效果。

Journal ref Medical Image Computing and Computer Assisted Intervention - MICCAI 2025. Lecture Notes in Computer Science, vol 15973. Springer, Cham (2025)

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Sarah N Dudgeon, Si Wen, Matthew G Hanna, Rajarsi Gupta, Mohamed Amgad, Manasi Sheth, Hetal Marble, Richard Huang, Markus D Herrmann, Clifford H. Szu, Darick Tong, Bruce Werness, Evan Szu, Denis Larsimont, Anant Madabhushi, Evangelos Hytopoulos, Weijie Chen, Rajendra Singh, Steven N. Hart, Joel Saltz, Roberto Salgado, Brandon D Gallas

专题命中 医学数据与评测 ：pathology(abstract,comments)；分类 q-bio、eess.IV

Comments 26 pages, 4 figures, 2 tables Submitted to the Journal of Pathology Informatics Project web page: https://ncihub.org/groups/eedapstudies

Benchmark Evaluation of Federated Learning on Multi-organ Images

多器官图像上联邦学习的基准评估

Junbin Mao, Xu Tian, Jianchun Zhu, Ludi Li, Jin Liu

机构 * Hunan Provincial Key Laboratory on Bioinformatics, School of Computer Science and Engineering, Central South University（湖南生物信息省重点实验室，计算机科学与工程学院，中南大学） ； Xinjiang Engineering Research Center of Big Data and Intelligent Software, School of software, Xinjiang University（新疆大数据与智能软件工程研究中心，软件学院，新疆大学） 纠错

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

AI总结 针对医学数据隐私及异质性致联邦学习性能评估难的问题，开发MobenFL基准，集成20种前沿算法和22个数据集，涵盖12个器官，评估维度更丰富，能全面深入评估联邦学习在医学领域临床应用的效果。

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation

QFedPolyp：一种用于息肉分割的通信和推理高效的联邦学习框架

Madan Baduwal, Priyanka Paudel

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

AI总结 研究针对息肉分割中集中式学习需共享敏感数据、联邦学习通信成本高的问题，提出QFedPolyp框架，结合量化感知训练与低精度模型通信，经实验验证其能降低通信开销、加快推理速度，适合临床实时部署。

Marine Engine Fault Dataset: Open-Access Data under Controlled Reference and Fault Scenario Conditions

船舶发动机故障数据集：在受控参考和故障场景条件下的开放获取数据

Ahmad BahooToroody, Oleksiy Bondarenko, Mohammad Mahdi Abaei, Niki Yoichi, Enrico Zio

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

AI总结 该研究提出船舶发动机故障数据集，通过在实际船舶发动机平台结合受控故障实现、多负载运行和系统级测量获取数据，包括多传感器时间序列等，为海上机械相关研究提供记录良好的基准。

Comments submitted to a journal and currently is under review, 34 pages, 13 Figures

MACAW: A Causal Generative Model for Medical Imaging

MACAW：一种用于医学影像的因果生成模型

Vibujithan Vigneshwaran, Erik Ohara, Matthias Wilms, Nils Forkert

机构 * organization= Department of Radiology, University of Calgary , addressline= 2500 University Dr NW , city= Calgary , postcode= T2N 1N4 , state= Alberta , country= Canada ； organization= Hotchkiss Brain Institute, University of Calgary , addressline= 2500 University Dr NW , city= Calgary , postcode= T2N 1N4 , state= Alberta , country= Canada ； organization= Department of Pediatrics, University of Calgary , addressline= 28 Oki Dr , city= Calgary , postcode= T2N 6A8 , state= Alberta , country= Canada ； organization= Department of Community Health Sciences, University of Calgary , addressline= 3330 Hospital Dr NW , city= Calgary , postcode= T2N 4Z5 , state= Alberta , country= Canada ； organization= Alberta Children’s Hospital Research Institute, University of Calgary , addressline= 28 Oki Dr , city= Calgary , postcode= T2N 6A8 , state= Alberta , country= Canada 纠错

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

AI总结 MACAW通过整合因果知识提升医学影像生成和预测的准确性与不确定性估计。

Comments 27 pages

Journal ref Transactions on Machine Learning Research, 2026

Federated Low-Rank Koopman Learning for Multivariate Time-Series Anomaly Detection in IoT Systems

物联网系统中用于多变量时间序列异常检测的联邦低秩库普曼学习

Tung-Anh Nguyen, Van-Phuc Bui, Anh Tuyen Le, Kim Hue Ta, Minh Thuy Le, J. Andrew Zhang, Xiaojing Huang

机构 * University of Technology Sydney（悉尼科技大学） ； FPT University（越南邮电大学） ； Hanoi University of Science and Technology（河内科技大学） 纠错

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

AI总结 研究物联网系统多变量时间序列异常检测问题，提出FedKAD框架，通过轻量级滑动窗口库普曼表示学习正常时间动态，经联邦训练优化共享表示，实验表明其检测性能良好且适用于资源受限的边缘设备。

A Realistic Protocol for Evaluation of Weakly Supervised Object Localization

弱监督目标定位评估的现实协议

Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger

机构 * LIVIA, ILLS, Dept. of Systems Engineering, ETS Montreal（蒙特利尔高等技术学院系统工程系LIVIA实验室、ILLS实验室） 纠错

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

AI总结 提出一种无需手动边界框标注的WSOL评估协议，利用预训练区域提议方法生成伪边界框进行模型选择和阈值估计，在自然和医学图像数据集上达到与使用真实边界框相当的性能。

Comments 13 pages, 5 figures

Journal ref WACV 2025: IEEE/CVF Winter Conf. on Applications of Computer Vision, Arizona, USA

WHU-Infra3D: A Full-stack Multi-modal Dataset and Benchmark for 3D Roadside Infrastructure Inventory

WHU-Infra3D：面向3D路边基础设施清单的全栈多模态数据集与基准

Chong Liu, Luxuan Fu, Xuyu Feng, Zhen Dong, Bisheng Yang

机构 * State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS)（信息工程测绘遥感国家重点实验室） ； Wuhan University（武汉大学） 纠错

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

AI总结 提出WHU-Infra3D多模态基准数据集，覆盖三城市53.8公里，融合全景图像与LiDAR点云，提供2D-3D实例关联和跨帧跟踪，支持基础设施状态诊断与属性识别，填补自动化维护数据集空白。