医学 AI

Interpretation of Mammogram and Chest X-Ray Reports Using Deep Neural Networks - Preliminary Results

Hojjat Salehinejad, Shahrokh Valaee, Aren Mnatzakanian, Tim Dowdell, Joseph Barfett, Errol Colak

专题命中 医学影像 ：pathology(abstract)；diagnosis(abstract)；radiology(abstract)；分类 cs.CV

Comments This paper is submitted for peer-review

Adversarial Image Alignment and Interpolation

Viren Jain

专题命中 医学影像 ：MRI(abstract)；CT(abstract)；biomedical(abstract)；分类 cs.CV

Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors

Junjie Bai, Abhay Shah, Xiaodong Wu

专题命中 医学影像 ：medical image(abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV

Comments Paper in review

Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis

Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula Mougiakakou

专题命中 医学影像 ：medical image(abstract)；CT(abstract)；diagnosis(abstract)；分类 cs.CV

Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration

Henrique Tomaz Amaral-Silva, Luiz Otavio Murta-Jr, Paulo Mazzoncini de Azevedo-Marques, Lauro Wichert-Ana, V. B. Surya Prasath, Colin Studholme

专题命中 医学影像 ：medical image(abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV

Comments 15 pages, 11 figures, 2 tables

Cellular Automata Segmentation of the Boundary between the Compacta of Vertebral Bodies and Surrounding Structures

Jan Egger, Christopher Nimsky

专题命中 医学影像 ：medical image(abstract)；MRI(abstract)；diagnosis(abstract)；分类 cs.CV

Comments 6 pages, 5 figures, 1 table, 42 references

Journal ref SPIE Medical Imaging Conference 2016, Paper 9787-52

Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images

Omar Sultan Al-Kadi

专题命中 医学影像 ：medical image(abstract)；CT(abstract)；diagnosis(abstract)；分类 cs.CV

Comments 10 pages, 9 figures

Journal ref Computerized Medical Imaging and Graphics, vol.34, pp.494-503, 2010

Comparison of Algorithms for Compressed Sensing of Magnetic Resonance Images

Jelena Badnjar

专题命中 医学影像 ：medical image(abstract)；MRI(abstract)；biomedical(abstract)；分类 cs.CV

Pituitary Adenoma Volumetry with 3D Slicer

Jan Egger, Tina Kapur, Christopher Nimsky, Ron Kikinis

专题命中 医学影像 ：medical image(abstract)；MRI(abstract)；biomedical(abstract)；分类 cs.CV

Comments 7 pages, 5 figures, 2 tables, 30 references

Journal ref (2012) PLoS ONE 7(12): e51788

Distributed Object Medical Imaging Model

Ahmad Shukri Mohd Noor, Md Yazid Md Saman

专题命中 医学影像 ：medical image(abstract)；diagnosis(abstract)；radiology(abstract)；分类 cs.CV

Comments " International Journal of Computer Science Issues, IJCSI, Volume 4, Issue 2, pp42-48, September 2009"

Journal ref A.S.M. Noor and Y.Saman, "Distributed Object Medical Imaging Model", International Journal of Computer Science Issues, IJCSI, Volume 4, Issue 2, pp42-48, September 2009

Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images

自适应输入图像归一化用于解决基于GAN的X射线图像中的模式崩溃问题

Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly

机构 * Department of Computer Science, Munster Technological University, Cork, Ireland（计算机科学系，穆斯廷技术大学，科克，爱尔兰） 纠错

专题命中 医学影像 ：biomedical(abstract,journal_ref)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

AI总结 本文提出通过自适应输入图像归一化技术缓解GAN生成X射线图像中模式崩溃问题，提升图像多样性和分类性能。

Comments Submitted to the Elsevier Journal

Journal ref Biomedical Signal Processing and Control Volume 111, January 2026, 108333

Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging

多尺度扩散模型用于医学影像超分辨率

Darshan Thaker, Mahmoud Mostapha, Radu Miron, Shihan Qiu, Mariappan Nadar

机构 * University of Pennsylvania（宾夕法尼亚大学） ； Siemens Healthineers（西门子医疗） ； Siemens Industry Software（西门子工业软件） 纠错

专题命中 医学影像 ：medical image(abstract)；MRI(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

AI总结 本文提出多尺度扩散模型用于医学影像超分辨率，通过分解图像为不同频带并训练独立先验，提升重建质量并减少推理时间。

Comments Accepted at IEEE International Symposium for Biomedical Imaging (ISBI) 2026

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction

Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras

机构 * Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA ； Department of Electrical ； Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA ； Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA ； Institute for Informatics, Data Science \& Biostatistics, Washington University School of Medicine, St. Louis, MO, USA 纠错

专题命中 医学影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments Medical Image Analysis

Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation

Ziya Ata Yazıcı, İlkay Öksüz, Hazım Kemal Ekenel

机构 * Istanbul Technical University（伊斯坦布尔理工大学） ； Qatar University（卡塔尔大学） 纠错

专题命中 医学影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments Accepted at 9th BrainLes Workshop (BraTS 2023 Challenge) @ International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023

Deep vessel segmentation with joint multi-prior encoding

Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze

专题命中 医学影像 ：medical image(abstract)；pathology(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(journal_ref)

Comments 5 pages, 3 figures, conference

Journal ref 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024, pp. 1-5

Ricci flow-based brain surface covariance descriptors for diagnosing Alzheimer's disease

Fatemeh Ahmadi, Mohamad Ebrahim Shiri, Behroz Bidabad, Maral Sedaghat, Pooran Memari

专题命中 医学影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Accepted for publication in Biomedical Signal Processing and Control journal

Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images

Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue

专题命中 医学影像 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Accepted by the IEEE Journal of Biomedical and Health Informatic, doi: 10.1109/JBHI.2023.3247949

ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images

Xiao Liang, Shan Lin, Fei Liu, Dimitri Schreiber, Michael Yip

专题命中 医学影像 ：medical image(abstract)；CT(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Accepted by IEEE Transactions on Biomedical Engineering

Evidence-empowered Transfer Learning for Alzheimer's Disease

Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo

专题命中 医学影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Accepted to IEEE International Symposium on Biomedical Imaging (ISBI) 2023. The authorship was changed from co-first authors to a single first author, which was authorized by the adviser/corresponding author Jinyoung Yeo (Apr 18th, 2023)

Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images

Nicholas Konz, Maciej A. Mazurowski

专题命中 医学影像 ：MRI(abstract,comments)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Paper accepted at MIDL 2023. Code available at https://github.com/mazurowski-lab/MRI-IAP-prediction

Three-dimensional micro-structurally informed in silico myocardium -- towards virtual imaging trials in cardiac diffusion weighted MRI

Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jurgen E. Schneider, Alejandro F. Frangi

专题命中 医学影像 ：MRI(title)；分类 cs.CV、q-bio；medical image(comments)

Comments Medical Image Analysis, in press

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding

David Bouget, André Pedersen, Johanna Vanel, Haakon O. Leira, Thomas Langø

专题命中 医学影像 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments 18 pages, 8 figures, submitted to Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Applying a random projection algorithm to optimize machine learning model for breast lesion classification

Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran R. Maryada, Hong Liu, Bin Zheng

专题命中 医学影像 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(journal_ref)

Comments 11 pages, 6 figures

Journal ref IEEE Transactions on Biomedical Engineering, 2021

Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging

Hojjat Salehinejad, Edward Ho, Hui-Ming Lin, Priscila Crivellaro, Oleksandra Samorodova, Monica Tafur Arciniegas, Zamir Merali, Suradech Suthiphosuwan, Aditya Bharatha, Kristen Yeom, Muhammad Mamdani, Jefferson Wilson, Errol Colak

专题命中 医学影像 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments This paper is accepted for presentation at the IEEE International Symposium on Biomedical Imaging (ISBI) 2021

An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation

Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni

专题命中 医学影像 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

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

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin

专题命中 医学影像 ：CT(abstract)；radiology(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments 20 pages, 3 figures, 5 tables (appendices additional). Published in Medical Image Analysis (October 2020)

Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging

Pulkit Khandelwal, Paul Yushkevich

专题命中 医学影像 ：CT(abstract)；biomedical(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments Medical Image Computing and Computer Assisted Interventions (MICCAI) 2020 to be presented at DART 2020. Supplementary material and link to code included

The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification

MYOSAIQ挑战赛：自动化梗死量化的心肌分割

Olivier Bernard, William A. Romero R., Cyprien Bouton, Celia Goujat, Hang Jung Ling, Pierre-Marc Jodoin, Fumin Guo, Calder Sheagren, Graham Wright, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Hairui Wang, Xiaomei Wu, Franz Thaler, Gernot Plank, Martin Urschler, Ricardo M. Rosales, Esther Pueyo, Nicolas Duchateau, Frederic Cervenansky, Patrick Clarysse, Loic Belle, Thomas Bochaton, Nathan Mewton, Magalie Viallon, Pierre Croisille

专题命中 医学影像 ：MRI(abstract,abstract_cn)；biomedical(comments,journal_ref)；分类 cs.CV、eess.IV

AI总结 本文介绍MYOSAIQ挑战赛，整合439例多中心CMR数据，6支队伍参赛，对比发现基于UNet的技术在LGE MR分割上优于基础模型，但梗死区域分割仍需改进。

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2026:032

Journal ref Machine.Learning.for.Biomedical.Imaging. 2026 (2026)

Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals

医学影像分析中的性能不确定性：对置信区间的大规模调查

Pascaline André, Charles Heitz, Evangelia Christodoulou, Annika Reinke, Carole H. Sudre, Michela Antonelli, Patrick Godau, M. Jorge Cardoso, Antoine Gilson, Sophie Tezenas du Montcel, Gaël Varoquaux, Lena Maier-Hein, Olivier Colliot

机构 * Sorbonne Université（索邦大学） ； Institut du Cerveau – Paris Brain Institute - ICM（脑研究所—巴黎脑研究所—ICM） ； CNRS（国家科学研究中心） ； Inria（法国国家信息与自动化技术研究院） ； Inserm（法国国家医学研究院） ； AP-HP（法国国家医院集团） ； Hôpital de la Pitié-Salpêtrière（皮蒂埃-萨尔普特里医院） ； German Cancer Research Center (DKFZ)（德国癌症研究中心（DKFZ）） ； National Center for Tumor Diseases (NCT)（肿瘤国家研究中心（NCT）） ； AI Health Innovation Cluster（人工智能健康创新集群） ； Unit for Lifelong Health and Ageing at UCL（伦敦大学学院（UCL）长寿健康单位） ； Department of Population Science and Experimental Medicine and Hawkes InstituteCentre for Medical Image Computing（人口科学与实验医学系及哈维斯研究所医学影像计算中心） ； Department of Computer Science, University College London（伦敦大学学院（UCL）计算机科学系） ； School of Biomedical Engineering and Imaging Science, King’s College London（伦敦国王学院生物医学工程与影像科学学校） ； Hawkes Institute, Department of Computer Science, University College London（哈维斯研究所，伦敦大学学院（UCL）计算机科学系） 纠错

专题命中 医学影像 ：medical image(title)；分类 cs.CV、cs.LG

AI总结 本研究通过大规模分析揭示医学影像AI中置信区间方法的可靠性与精度差异，探讨样本量、性能度量和聚合策略对置信区间的影响。

A Tensor Network Framework for Interpretable Graph Analysis of Brain Networks

用于脑网络可解释图分析的张量网络框架

Domenico Pomarico, Giuseppe Magnifico, Alessandro Grecucci, Loredana Bellantuono, Jesus M. Cortes, Marianna La Rocca, Alfonso Monaco, Marlis Ontivero-Ortega, Alessandro Scarano, Massimo Stella, Roberto Bellotti, Sebastiano Stramaglia, Nicola Amoroso

专题命中 医学影像 ：MRI(summary_cn,abstract)；分类 q-bio

AI总结 该研究提出量子启发的张量网络框架，结合分类功能与可解释性，对脑结构MRI数据的两类脑疾病分类任务展开分析，识别出稳定的脑区特征并验证了方法的解释价值。