医学 AI

Future Artificial Intelligence tools and perspectives in medicine

Ahmad Chaddad, Yousef Katib, Lama Hassan

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.IV

Journal ref Curr Opin Urol. 2021 Jul 1;31(4):371-377

An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes

Florian Thamm, Markus Jürgens, Oliver Taubmann, Aleksandra Thamm, Leonhard Rist, Hendrik Ditt, Andreas Maier

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images

Qiang Wang, Susan Fernandes, Gareth O. S. Williams, Neil Finlayson, Ahsan R. Akram, Kevin Dhaliwal, James R. Hopgood, Marta Vallejo

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

Comments 21 pages, 9 figures, 5 equations, 1 table

A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition

Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip, Pitshaporn Leelaarporn, Maytus Piriyajitakonkij, Thananya Charoenpattarawut, Phairot Autthasan, Rattanaphon Chaisaen, Pathitta Dujada, Thapanun Sudhawiyangkul, Vorapun Senanarong, Theerawit Wilaiprasitporn

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Journal ref IEEE Transactions on Instrumentation and Measurement, 2021

Voxelwise principal component analysis of dynamic [S-methyl-11C]methionine PET data in glioma patients

Corentin Martens, Olivier Debeir, Christine Decaestecker, Thierry Metens, Laetitia Lebrun, Gil Leurquin-Sterk, Nicola Trotta, Serge Goldman, Gaetan Van Simaeys

专题命中 诊断辅助 ：diagnosis(abstract)；分类 q-bio、eess.IV、eess.SP

Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions

Roxana Daneshjou, Carrie Kovarik, Justin M Ko

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

Comments 5 pages, no figures

Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks

Eufemia Lella, Gennaro Vessio

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

Journal ref Pattern Recognition Letters, Volume 136, August 2020, Pages 168-174

Cognitive Biomarker Prioritization in Alzheimer's Disease using Brain Morphometric Data

Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.IV

Comments This paper has been accepted by BMC MIDM

A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks

Mengjia Xu, David Lopez Sanz, Pilar Garces, Fernando Maestu, Quanzheng Li, Dimitrios Pantazis

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System

Joseph Paul Cohen, Paul Bertin, Vincent Frappier

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Comments Submitted to MIDL2020

Classification of Single-lead Electrocardiograms: TDA Informed Machine Learning

Paul Samuel Ignacio, David Uminsky, Christopher Dunstan, Esteban Escobar, Luke Trujillo

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Comments \c{opyright} 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

A machine learning method correlating pulse pressure wave data with pregnancy

Jianhong Chen, Huang Huang, Wenrui Hao, Jinchao Xu

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.IV

Identifying Pediatric Vascular Anomalies With Deep Learning

Justin Chan, Sharat Raju, Randall Bly, Jonathan A. Perkins, Shyamnath Gollakota

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors

Daniel Lopez-Martinez, Ke Peng, Arielle Lee, David Borsook, Rosalind Picard

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.IV

Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity

Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer, Leonard Weydemann, Heinrich Garn, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Markus Waser, Dieter Grossegger, Pengfei Zhang, Georg Dorffner, Stephen Roberts

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216

Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures

Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego, Iyad Obeid, Joseph Picone

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Comments Under review in Journal of Clinical Neurophysiology

Implementation of deep learning algorithm for automatic detection of brain tumors using intraoperative IR-thermal mapping data

A. V. Makarenko, M. G. Volovik

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Comments 7 pages, 5 figures, 2 tables

Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection

Fakrul Islam Tushar, Liesbeth Vancoillie, Cindy McCabe, Amareswararao Kavuri, Lavsen Dahal, Brian Harrawood, Milo Fryling, Mojtaba Zarei, Saman Sotoudeh-Paima, Fong Chi Ho, Dhrubajyoti Ghosh, Michael R. Harowicz, Tina D. Tailor, Sheng Luo, W. Paul Segars, Ehsan Abadi, Kyle J. Lafata, Joseph Y. Lo, Ehsan Samei

专题命中 诊断辅助 ：CT(abstract)；分类 q-bio、eess.IV；medical image(comments)

Comments 18 pages, 4 figures, 1 table, Appendices; Accepted at Medical Image Analysis

Journal ref Med. Image Anal. 103 (2025) 103576

Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization

Vaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、q-bio；medical AI(comments)

Comments Paper is published in MedAGI 2023 (MICCAI 2023 1st International Workshop on Foundation Models for General Medical AI) Code link: https://github.com/Vaibhav-Khamankar/FuseStyle Paper link: https://nbviewer.org/github/MedAGI/medagi.github.io/blob/main/src/assets/papers/P17.pdf

Inference of ventricular activation properties from non-invasive electrocardiography

Julia Camps, Brodie Lawson, Christopher Drovandi, Ana Minchole, Zhinuo Jenny Wang, Vicente Grau, Kevin Burrage, Blanca Rodriguez

专题命中 诊断辅助 ：diagnosis(abstract)；分类 q-bio、eess.SP；medical image(comments)

Comments Submitted to Medical Image Analysis

SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes

Yiming Li, Sanjiv J. Shah, Donna Arnett, Ryan Irvin, Yuan Luo

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio；biomedical(comments)

Comments Submitted to the 12th International Workshop on Biomedical and Health Informatics (BHI 2021)

Prognosticating Autism Spectrum Disorder Using Artificial Neural Network: Levenberg-Marquardt Algorithm

Avishek Choudhury, . Christopher Greene

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、q-bio；biomedical(journal_ref)

Journal ref Archives of Clinical and Biomedical Research 2018, 2(6):188-197

Classification of Epileptic EEG Signals by Wavelet based CFC

Amirmasoud Ahmadi, Mahsa Behroozi, Vahid Shalchyan, Mohammad Reza Daliri

专题命中 诊断辅助 ：diagnosis(abstract)；分类 q-bio、eess.SP；biomedical(journal_ref)

Comments Electroencephalogram; Wavelet Decomposition; Cross Frequency Coupling;Quadratic Discriminant Analysis; T-test Feature Selection

Journal ref Electrical-Electronics & Biomedical Engineering and Computer Science in 2018 (EBBT 2018)

Structural Connectome Validation Using Pairwise Classification

Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul Thompson

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、q-bio；biomedical(comments)

Comments Accepted for IEEE International Symposium on Biomedical Imaging 2017

Hierarchical Classification via Cascading Feature Elimination: Application to Human Phenotype Ontology-Aligned Facial Phenotyping (FaceMesh2HPO)

通过级联特征消除进行层次分类：在人类表型本体对齐的面部表型分析（FaceMesh2HPO）中的应用

Fabio Hellmann, Alexander Hustinx, Benjamin D. Solomon, GestaltMatcher Database Consortium, Tzung-Chien Hsieh, Peter Krawitz, Elisabeth André

机构 * University of Augsburg（奥格斯堡大学） ； University of Bonn（波恩大学） 纠错

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、cs.LG

AI总结 FaceMesh2HPO框架利用临床医生注释及图像生成3D面部网格，基于PointNet训练含级联分类与特征消除的分层管道，结合多种数据实现面部表型分类，虽有成果但罕见叶节点性能受限，需改进策略增强实用性。

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding

脑电（EEG）基础挑战赛：从跨任务到跨主体的脑电解码

Bruno Aristimunha, Dung Truong, Pierre Guetschel, Seyed Yahya Shirazi, Isabelle Guyon, Alexandre R. Franco, Michael P. Milham, Aviv Dotan, Scott Makeig, Alexandre Gramfort, Jean-Remi King, Marie-Constance Corsi, Pedro A. Valdés-Sosa, Amit Majumdar, Alan Evans, Terrence J Sejnowski, Oren Shriki, Sylvain Chevallier, Arnaud Delorme

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、eess.SP

AI总结 本文介绍一项包含跨任务跨主体脑电解码、精神病理因素预测两项挑战的大规模脑电竞赛，提供对应基线模型，旨在推动泛化性脑电解码模型及相关临床应用的发展。

Comments Approved at Neurips Competition track. webpage: https://eeg2025.github.io/

Journal ref The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025

STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding

STEAM：用于EEG解码的分层预训练时空对齐混合专家模型

Zhu Chen, Dingkun Liu, Yuheng Chen, Dongrui Wu

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、cs.LG

AI总结 STEAM是一种分层迁移框架，通过双分支时空编码器与SSMoE模块实现EEG解码的通用表征学习与范式专业化，在7个数据集的14种评估设置中表现优异且推理成本具竞争力。

Aortic Valve Disease Screening from PPG via Physiology-Guided Self-Supervised Learning

通过生理引导的自监督学习检测PPG中的主动脉瓣疾病

Jiaze Wang, Qinghao Zhao, Zizheng Chen, Zhejun Sun, Deyun Zhang, Yuxi Zhou, Shenda Hong

机构 * Department of Computer Science, Tianjin University of Technology（天津理工大学计算机科学系） ； National Institute of Health Data Science, Peking University（北京大学国家健康数据科学研究院） ； Department of Cardiology, Peking University People’s Hospital（北京大学人民医院心内科） ； HeartVoice Medical Technology（心声医疗科技） ； DCST, BNRist, RIIT, Institute of Internet Industry, Tsinghua University（清华大学计算机科学与技术系、北京人工智能研究所、互联网产业研究所） ； Institute of Medical Technology, Peking University Health Science Center（北京大学健康科学中心医学技术研究所） ； Institute for Artificial Intelligence, Peking University（北京大学人工智能研究所） ； State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University（北京大学血管稳态与重塑国家重点实验室、国家心血管分子生物学与调节肽重点实验室） 纠错

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、eess.SP

AI总结 本文提出基于生理引导的自监督学习方法，利用大量未标记PPG数据高效筛查主动脉狭窄和反流，实现优于传统监督学习的检测性能。

Comments 33 pages, 8 figures. Under review

Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs

用于从有向图上的流中恢复势的规范不变、参数不敏感正则化

Mohammad Forouhesh

机构 * Amirkabir University of Technology（伊朗阿米尔卡比尔理工大学） 纠错

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.LG、eess.SP

AI总结 研究从有向图流中恢复潜在势的问题，提出规范不变的图狄利克雷能量方法，该方法具有参数不敏感性，能保留动态范围，定位吸收边界，并通过实验验证其在点击流语料库上的优势，还将其与图神经网络联系起来。

Comments 17 pages, 6 figures, submitted to LoG 2026

SAND: The Challenge on Speech Analysis for Neurodegenerative Disease Assessment

SAND：神经退行性疾病评估中语音分析的挑战

Giovanna Sannino, Ivanoe De Falco, Nadia Brancati, Laura Verde, Maria Frucci, Daniel Riccio, Vincenzo Bevilacqua, Antonio Di Marino, Lucia Aruta, Valentina Virginia Iuzzolino, Gianmaria Senerchia, Myriam Spisto, Raffaele Dubbioso

机构 * National Research Council of Italy (CNR), Institute for High-Performance Computing and Networking (ICAR), Naples（意大利国家研究理事会（CNR）、高性能计算与网络研究所（ICAR）、那不勒斯） 纠错

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、cs.LG

AI总结 本文提出SAND挑战，旨在通过语音信号开发AI模型，用于早期识别和预测ALS进展，解决标注数据不足的问题。

Journal ref IEEE Open Journal of Signal Processing (2026)