医学 AI

EasiCSDeep: A deep learning model for Cervical Spondylosis Identification using surface electromyography signal

Nana Wang, Li Cui, Xi Huang, Yingcong Xiang, Jing Xiao

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

Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images

Pingkun Yan, Hengtao Guo, Ge Wang, Ruben De Man, Mannudeep K. Kalra

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

Comments IEEE conference format

Crowdsourcing Lung Nodules Detection and Annotation

Saeed Boorboor, Saad Nadeem, Ji Hwan Park, Kevin Baker, Arie Kaufman

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

Comments 7 pages, SPIE Medical Imaging 2018

Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines

Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, Michael R. Kosorok

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

Towards the identification of Parkinson's Disease using only T1 MR Images

Sara Soltaninejad, Irene Cheng, Anup Basu

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

Comments ICSM 2018

An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification

Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, Willliam Hsu

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

Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices

M. Hajabdollahi, R. Esfandiarpoor, S. M. R. Soroushmehr, N. Karimi, S. Samavi, K. Najarian

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

Comments 5 pages, 6 figures

Detecting hip fractures with radiologist-level performance using deep neural networks

William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer

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

Comments 6 pages

Cognitive Subscore Trajectory Prediction in Alzheimer's Disease

Lev E. Givon, Laura J. Mariano, David O'Dowd, John M. Irvine, Abraham R. Schneider

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

Comments Accepted for presentation in BioImage Informatics Conference 2017 (9/19/2017) and SIIM Conference on Machine Learning in Medical Imaging (C-MIMI) 2017 (9/26/2017). Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu)

Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning

Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng

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

Comments Accepted to MICCAI 2017

Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images

Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kurc, Joel H. Saltz

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

Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method

Humayun Irshad, Eun-Yeong Oh, Daniel Schmolze, Liza M Quintana, Laura Collins, Rulla M. Tamimi, Andrew H. Beck

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

Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features

Tizita Nesibu Shewaye, Alhayat Ali Mekonnen

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

Comments 5 pages, 4 figures

Symmetry Based Cluster Approach for Automatic Recognition of the Epileptic Focus in Brain Using PET Scan Image : An Analysis

A. Meena, R. Raja

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

Comments National Conference:NC4T 2011, Sathyabama University,PP. No. 61 - 63

Automatic Application Level Set Approach in Detection Calcifications in Mammographic Image

Atef Boujelben, Hedi Tmar, Jameleddine Mnif, Mohamed Abid

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

Comments 14 pages, 9 figures

Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy

Hossein Shakibania, Sina Raoufi, Behnam Pourafkham, Hassan Khotanlou, Muharram Mansoorizadeh

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

Comments Published in the Biomedical Signal Processing & Control journal, 16 pages, 13 figures

Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging

Ke Xiao, Erik Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(journal_ref)

Comments 12 pages including references and the appendix. 9 Figures, 2 tables. Accepted at MICCAI (Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging) 2023, Link to Springer at https://link.springer.com/chapter/10.1007/978-3-031-43990-2_23

Journal ref In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2023. pp. 236-246 (2023)

Detecting hidden signs of diabetes in external eye photographs

Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Maa, Jorge Cuadros, Greg S. Corrado, Lily Peng, Dale R. Webster, Avinash Varadarajan, Naama Hammel, Yun Liu

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

Journal ref Nature Biomedical Engineering 2022

DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography

Pengxiao Zang, Liqin Gao, Tristan T. Hormel, Jie Wang, Qisheng You, Thomas S. Hwang, Yali Jia

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

Comments Accepted for publication by IEEE Transactions on Biomedical Engineering

Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity

Mandy Lu, Kathleen Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments Accepted as a conference paper at MICCAI (Medical Image Computing and Computer Assisted Intervention), Lima, Peru, October 2020. 11 pages, LaTeX

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

Yujin Oh, Sangjoon Park, Jong Chul Ye

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

Comments Accepted for IEEE Trans. on Medical Imaging Special Issue on Imaging-based Diagnosis of COVID-19

Graph Neural Network for Interpreting Task-fMRI Biomarkers

Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan

专题命中 诊断辅助 ：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(journal_ref)

Journal ref Medical Image Computing and Computer-Assisted Intervention 2019

Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract

Sharib Ali, Jens Rittscher

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

Comments Accepted at IEEE International Symposium on Biomedical Imaging (ISBI), 2019

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

通过AI赋能的钙组学增强心血管风险预测

Ammar Hoori, Sadeer Al-Kindi, Tao Hu, Yingnan Song, Hao Wu, Juhwan Lee, Nour Tashtish, Pingfu Fu, Robert Gilkeson, Sanjay Rajagopalan, David L. Wilson

机构 * Department of Biomedical Engineering, Case Western Reserve University（生物医学工程系，凯斯西储大学） ； Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center（哈灵顿心脏和血管研究所，克利夫兰医学中心） ； School of Medicine, Case Western Reserve University（医学院，凯斯西储大学） ； Department of Population and Quantitative Health Sciences, Case Western Reserve University（人口与定量健康科学系，凯斯西储大学） ； Department of Radiology, University Hospitals Cleveland Medical Center（放射科，克利夫兰医学中心） ； Department of Radiology, Case Western Reserve University（放射科，凯斯西储大学） 纠错

专题命中 诊断辅助 ：CT(abstract,abstract_cn)；分类 q-bio

AI总结 本文通过利用详细的钙沉积特征（即钙组学）结合AI方法，提高了主要不良心血管事件（MACE）预测的准确性，展示了钙组学在心血管风险预测中的应用价值。

Comments 12 pages, 8 figures, 2 tables, 4 pages supplemental, journal paper format (under review)

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

皮肤科医生级可解释AI增强对黑色素瘤诊断的信任与信心

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger, Tabea-Clara Bucher, Carina Nogueira Garcia, Christoph Wies, Harald Kittler, Philipp Tschandl, Cristian Navarrete-Dechent, Sebastian Podlipnik, Emmanouil Chousakos, Iva Crnaric, Jovana Majstorovic, Linda Alhajwan, Tanya Foreman, Sandra Peternel, Sergei Sarap, İrem Özdemir, Raymond L. Barnhill, Mar Llamas Velasco, Gabriela Poch, Sören Korsing, Wiebke Sondermann, Frank Friedrich Gellrich, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Matthias Goebeler, Bastian Schilling, Jochen S. Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff-Henning, Titus J. Brinker

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

AI总结 本研究开发了一种皮肤科医生级可解释AI系统，通过生成可理解的解释提升诊断信任和信心，验证了其在黑色素瘤诊断中的有效性。

Toward AI-Ready Medical Imaging Data

迈向AI-ready的医学影像数据

Milen Nikolov, Edilberto Amorim, J Harry Caufield, Nayoon Gim, Nomi L Harris, Jared Houghtaling, Xiang Li, Danielle Morrison, Anaïs Rameau, Jamie Shaffer, Hari Trivedi, Monica C Munoz-Torres

专题命中 诊断辅助 ：diagnosis(abstract)；biomedical(abstract)；分类 q-bio

AI总结 本文提出了一套适用于DICOM格式的医学影像数据管理SOPs，旨在提升数据的FAIR性，为AI-ready数据集奠定基础。

Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection

Soujanya Hazra, Sanjay Ghosh

机构 * Department of Electrical Engineering, Indian Institute of Technology Kharagpur（印度理工学院Kharagpur电子工程系） 纠错

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

Comments 13 pages, 3 tables, and 7 fugures

AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification

Roshan Kenia, Anfei Li, Rishabh Srivastava, Kaveri A. Thakoor

机构 * Department of Computer Science, Columbia University, New York, NY, USA（计算机科学系，哥伦比亚大学） ； Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA（眼科学系，哥伦比亚大学伊万杰琳医疗中心） ； Department of Biomedical Engineering, Columbia University, New York, NY, USA（生物医学工程系，哥伦比亚大学） ； The Data Science Institute, Columbia University, New York, NY, USA（数据科学学院，哥伦比亚大学） 纠错

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

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2025:018

Journal ref Machine.Learning.for.Biomedical.Imaging. 3 (2025)

Risk and Protective Factors in Parkinsons Disease

Iman Beheshti

专题命中 诊断辅助 ：pathology(abstract)；diagnosis(abstract)；分类 q-bio

Comments 67 pages; 16 Tables; 3 figures

Self-Calibrated Dual Contrasting for Annotation-Efficient Bacteria Raman Spectroscopy Clustering and Classification

Haiming Yao, Wei Luo, Tao Zhou, Ang Gao, Xue Wang

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