医学 AI

MRI Images, Brain Lesions and Deep Learning

Darwin Castillo, Vasudevan Lakshminarayanan, Maria J. Rodriguez-Alvarez

专题命中 医学影像 ：MRI(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Comments Submitted to: Computer Programs and Methods in Biomedicine update (2021)

A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI

Saman Motamed, Isha Gujrathi, Dominik Deniffel, Anton Oentoro, Masoom A. Haider, Farzad Khalvati

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

Interpretation of 3D CNNs for Brain MRI Data Classification

Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

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

Comments 12 pages, 3 figures

Journal ref AIST2020

3D Deep Learning on Medical Images: A Review

Satya P. Singh, Lipo Wang, Sukrit Gupta, Haveesh Goli, Parasuraman Padmanabhan, Balázs Gulyás

专题命中 医学影像 ：medical image(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Comments Published in Sensors Journal (https://www.mdpi.com/1424-8220/20/18/5097)

Journal ref Sensors 2020, 20, 5097

Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation

John Lagergren, Erica Rutter, Kevin Flores

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

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorova, Laura Bonanni, Matteo Pardini, Milica Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frederic Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman

专题命中 医学影像 ：MRI(title,abstract)；clinical AI(abstract)；分类 cs.CV、cs.LG、q-bio

Comments 11 pages, 3 figures

DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation

Mina Jafari, Dorothee Auer, Susan Francis, Jonathan Garibaldi, Xin Chen

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

Comments Accepted for publication at IEEE International Symposium on Biomedical Imaging (ISBI) 2020, 5 pages, 3 figures

Journal ref 2020 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2020)

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice Andre, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Gael Freche, Aurelien Lombard, Laure Fournier, Hippolyte Monnier, Teodor Grand, Jules Gregory, Antoine Khalil, Elyas Mahdjoub, Pierre-Yves Brillet, Stephane Tran Ba, Valerie Bousson, Marie-Pierre Revel, Nikos Paragios

专题命中 医学影像 ：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

Xiaocong Chen, Lina Yao, Yu Zhang

专题命中 医学影像 ：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort

Alexandre Morin, Jorge Samper-González, Anne Bertrand, Sebastian Stroer, Didier Dormont, Aline Mendes, Pierrick Coupé, Jamila Ahdidan, Marcel Lévy, Dalila Samri, Harald Hampel, Bruno Dubois, Marc Teichmann, Stéphane Epelbaum, Olivier Colliot

专题命中 医学影像 ：MRI(title,abstract)；diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

Journal ref Journal of Alzheimer's Disease, IOS Press, 2020, pp.1-10

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

Joseph Paul Cohen, Margaux Luck, Sina Honari

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

Comments Published at Medical Image Computing & Computer Assisted Intervention (MICCAI 2018). An abstract is published at the Medical Imaging with Deep Learning Conference (MIDL 2018) as "How to Cure Cancer (in images) with Unpaired Image Translation"

Journal ref Medical Image Computing & Computer Assisted Intervention (MICCAI 2018 Oral)

Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading

用于标签高效腰椎退变分级的分割预训练

Monzon Maria, Zisserman Andrew, Jutzeler Catherine R., Jamaludin Amir

机构 * ETH Zurich（苏黎世联邦理工学院） ； Swiss Institute of Bioinformatics (SIB)（瑞士生物信息学研究所） ； University of Oxford（牛津大学） 纠错

专题命中 医学影像 ：MRI(summary_cn,abstract)；pathology(abstract)；分类 cs.CV；medical AI(comments)

AI总结 本研究探究用分割预训练替代部分手动分级标注，在约2000名受试者的多中心腰椎MRI数据集上，该方法仅用20%分级标签即可接近全监督性能，提升了腰椎退变分级效果。

Comments The 2nd MICCAI Workshop on Efficient Medical AI (2026)

DrivenMorph: Bridging Attention Mechanism and Variational Image Registration via Difference Modeling

DrivenMorph: 通过差异建模桥接注意力机制与变分图像配准

Mingke Li, Jianping Zhang, Jinqiu Deng

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

AI总结 提出DrivenMorph框架，通过差异建模作为物理启发归纳偏置，结合注意力机制与变分图像配准，利用神经Demons层模拟力-位移交互生成平滑形变，在3D脑MRI数据集上优于现有方法。

Comments 14 pages

Journal ref IEEE Journal of Biomedical and Health Informatics, 2026

Pre-examinations Improve Automated Metastases Detection on Cranial MRI

Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech, Heinz-Peter Schlemmer, Klaus Maier-Hein, Philipp Bäumer, Alexander Radbruch, Michael Götz

专题命中 医学影像 ：MRI(title,abstract)；diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV；radiology(journal_ref)

Journal ref Investigative Radiology 56(5):p 320-327, May 2021

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Roohallah Alizadehsani, Juan M. Gorriz, Sara A Abdulla, U. Rajendra Acharya

专题命中 医学影像 ：MRI(title,abstract)；diagnosis(abstract)；分类 cs.LG、q-bio、eess.IV

Journal ref Moridian, et. al., Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review, Frontiers in Molecular Neuroscience, Volume 15, 2022

Evidence-Linked Radiology Reporting: A Human-Supervised Reference Architecture for Structured Imaging Intelligence

证据关联放射学报告：面向结构化成像智能的人机协同参考架构

Houman Kazemzadeh, Kamyar Naderi

机构 * Xylemed 纠错

专题命中 医学影像 ：radiology(title,abstract)；CT(abstract,abstract_cn)

AI总结 提出一种人机协同、证据关联的参考架构，通过结合特定检查模板、语音到结构处理、测量与分割捕获、受控AI辅助起草以及基于DICOM、HL7 FHIR等标准的互操作性，将放射学报告从自由文本转化为结构化智能层，支持审阅报告、纵向比较、临床数据重用及系统集成。

Comments Technical report, 27 pages, 2 figures, 12 tables, 1 listing; reference architecture paper; does not report clinical outcomes or validated diagnostic performance

Homology-based Morphometry of Brain Atrophy: Methods and Applications

基于同调的脑萎缩形态学：方法与应用

Donato Quiccione, Mariam Pirashvili, Nathan Broomhead, Sean J. Fallon

专题命中 医学影像 ：MRI(summary_cn,abstract)；pathology(abstract)；分类 q-bio、eess.IV

AI总结 本文提出基于持续同调的两种方法，用于量化脑结构T1加权MRI的多尺度几何特征，通过合成实验验证其在跨受试者和跨时间分析中的有效性，并应用于ADNI数据展示其在脑萎缩检测与纵向跟踪中的应用。

Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models

深入探讨医学图像分割中的随机不确定性：通过视觉基础模型

Ruiyang Li, Fang Liu, Licheng Jiao, Xinglin Xie, Jiayao Hao, Shuo Li, Xu Liu, Jingyi Yang, Lingling Li, Puhua Chen, Wenping Ma

机构 * Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education（教育部智能感知与图像理解重点实验室） ； International Research Center for Intelligent Perception and Computation（智能感知与计算国际研究中心） ； Joint International Research Laboratory of Intelligent Perception and Computation（智能感知与计算联合国际研究实验室） ； School of Artificial Intelligence, Xidian University（西安电子科技大学人工智能学院） 纠错

专题命中 医学影像 ：medical image(title,abstract)；MRI(abstract)；CT(abstract)

AI总结 本文通过视觉基础模型分析医学图像分割中的数据不确定性，提出数据过滤和动态优化策略，提升模型鲁棒性和分割性能。

Subclass Classification of Gliomas Using MRI Fusion Technique

使用MRI融合技术对胶质瘤进行亚类分类

Kiranmayee Janardhan, Christy Bobby Thomas

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

AI总结 本研究提出一种基于MRI融合技术的胶质瘤亚类分类方法，通过融合多模态MRI图像提升分类精度，达到99.25%的准确率。

Comments 15 pages, 7 figures, 1 algorithm, 4 tables, journal paper

Journal ref SN Computer Science, 2025

OpenRad: a Curated Repository of Open-access AI models for Radiology

OpenRad: 一个经过精心整理的开放获取放射学AI模型库

Konstantinos Vrettos, Galini Papadaki, Emmanouil Brilakis, Matthaios Triantafyllou, Dimitrios Leventis, Despina Staraki, Maria Mavroforou, Eleftherios Tzanis, Konstantina Giouroukou, Michail E. Klontzas

专题命中 医学影像 ：radiology(title,abstract)；MRI(abstract)；CT(abstract)

AI总结 OpenRad是一个开放获取的放射学AI模型库，通过标准化元数据和社区贡献，为放射学领域提供全面的AI模型资源。

Comments 22 pages, 5 figures

MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation

MedNeXt-v2：用于医学图像分割的大规模监督表示学习中的3D ConvNeXt扩展

Saikat Roy, Yannick Kirchhoff, Constantin Ulrich, Maximillian Rokuss, Tassilo Wald, Fabian Isensee, Klaus Maier-Hein

机构 * German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing（德国癌症研究中心（DKFZ）海德堡，医学影像计算部） ； Faculty of Mathematics and Computer Science, Heidelberg University（海德堡大学数学与计算机科学学院） ； HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany（HIDSS4Health - 欧洲信息与数据科学健康学校，卡尔斯鲁厄/海德堡，德国） ； Medical Faculty Heidelberg, Heidelberg University（海德堡大学医学学院） ； National Center for Tumor Diseases (NCT), Heidelberg, Germany（肿瘤国家研究中心（NCT），海德堡，德国） ； Helmholtz Imaging, German Cancer Research Center, Germany（海德堡成像，德国癌症研究中心，德国） ； Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital（模式分析与学习组，放射肿瘤学部，海德堡大学医院） 纠错

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

AI总结 MedNeXt-v2通过改进的架构和扩展方法，在医学图像分割中实现最先进的监督表示学习性能。

Colormap-Enhanced Vision Transformers for MRI-Based Multiclass (4-Class) Alzheimer's Disease Classification

增强色谱的视觉变换器用于基于MRI的多类（4类）阿尔茨海默病分类

Faisal Ahmed

机构 * Department of Data Science and Mathematics（数据科学与数学系） 纠错

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

AI总结 本文提出PseudoColorViT-Alz，通过伪彩色增强与视觉变换器结合，实现基于MRI的多类阿尔茨海默病分类，准确率达99.79%

Comments 12 pages, 4 figures

SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses

SCOPE-MRI：Bankart病变检测作为数据整理和深度学习在困难诊断中的案例研究

Sahil Sethi, Sai Reddy, Mansi Sakarvadia, Jordan Serotte, Darlington Nwaudo, Nicholas Maassen, Lewis Shi

机构 * Pritzker School of Medicine, University of Chicago（芝加哥大学普ritzker医学学院） ； University of Chicago（芝加哥大学） ； Department of Computer Science, University of Chicago（芝加哥大学计算机科学系） ； Department of Orthopaedic Surgery & Rehabilitation Medicine, UChicago Medicine（芝加哥医学中心骨科与康复医学系） 纠错

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

AI总结 SCOPE-MRI通过公开数据集和深度学习框架，解决肩部Bankart病变的复杂诊断问题，提升MRI和MRAs的检测性能。

Comments This version of the article has been accepted for publication at Nature Partner Journal (NPJ) Artificial Intelligence, but is not the Version of Record and does not reflect post-acceptance improvements or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1038/s44387-025-00043-5

Artificial Intelligence-Enabled Analysis of Radiology Reports: Epidemiology and Consequences of Incidental Thyroid Findings

Felipe Larios, Mariana Borras-Osorio, Yuqi Wu, Ana Gabriela Claros, David Toro-Tobon, Esteban Cabezas, Ricardo Loor-Torres, Maria Mateo Chavez, Kerly Guevara Maldonado, Luis Vilatuna Andrango, Maria Lizarazo Jimenez, Ivan Mateo Alzamora, Misk Al Zahidy, Marcelo Montero, Ana Cristina Proano, Cristian Soto Jacome, Jungwei W. Fan, Oscar J. Ponce-Ponte, Megan E. Branda, Naykky Singh Ospina, Juan P. Brito

专题命中 医学影像 ：radiology(title,abstract)；CT(abstract)；diagnosis(abstract)

Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?

Mohamed Hassan, Aleksandar Vakanski, Min Xian

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

Journal ref IEEE Access, vol. 13, pp. 82972 - 82985, 2025

SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis

Lukas Buess, Jan Geier, David Bani-Harouni, Chantal Pellegrini, Matthias Keicher, Paula Andrea Perez-Toro, Nassir Navab, Andreas Maier, Tomas Arias-Vergara

机构 * Computer Aided Medical Procedures, Technical University of Munich（慕尼黑技术大学计算机辅助医学程序） 纠错

专题命中 医学影像 ：CT(title,abstract)；medical AI(abstract)；radiology(abstract)

Comments Submitted to ICASSP 2026; under review

Imagining Alternatives: Towards High-Resolution 3D Counterfactual Medical Image Generation via Language Guidance

Mohamed Mohamed, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel

机构 * McGill University（麦吉尔大学） ； Mila – Quebec AI Institute（魁北克人工智能研究所） 纠错

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

Comments Accepted to the 2025 MICCAI ELAMI Workshop

Non-Invasive Detection of PROState Cancer with Novel Time-Dependent Diffusion MRI and AI-Enhanced Quantitative Radiological Interpretation: PROS-TD-AI

Baltasar Ramos, Cristian Garrido, Paulette Narv'aez, Santiago Gelerstein Claro, Haotian Li, Rafael Salvador, Constanza V'asquez-Venegas, Iv'an Gallegos, Yi Zhang, V'ictor Casta~neda, Cristian Acevedo, Dan Wu, Gonzalo C'ardenas, Camilo G. Sotomayor

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

Comments Study protocol preprint (not peer reviewed). Prepared with the MDPI Journal of Imaging Word author template. Primary category: eess.IV. Code and patient data are not publicly available due to privacy; requests will be considered under a data-use agreement

A co-evolving agentic AI system for medical imaging analysis

Songhao Li, Jonathan Xu, Tiancheng Bao, Yuxuan Liu, Yuchen Liu, Yihang Liu, Lilin Wang, Wenhui Lei, Sheng Wang, Yinuo Xu, Yan Cui, Jialu Yao, Shunsuke Koga, Zhi Huang

机构 * Department of Pathology and Laboratory Medicine, University of Pennsylvania（病理学与实验室医学系，宾夕法尼亚大学） ； Department of Electrical and System Engineering, University of Pennsylvania（电气与系统工程系，宾夕法尼亚大学） ； The Wharton School, University of Pennsylvania（沃顿商学院，宾夕法尼亚大学） ； Department of Bioengineering, University of Pennsylvania（生物工程系，宾夕法尼亚大学） ； Department of Computer and Information Science, University of Pennsylvania（计算机与信息科学系，宾夕法尼亚大学） ； Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania（生物统计学、流行病学与信息学系，宾夕法尼亚大学） 纠错

专题命中 医学影像 ：medical AI(abstract)；medical image(abstract)；pathology(abstract)；radiology(abstract)

Exploring the Design Space of 3D MLLMs for CT Report Generation

Mohammed Baharoon, Jun Ma, Congyu Fang, Augustin Toma, Bo Wang

机构 * Vector Institute for Artificial Intelligence（向量人工智能研究所） ； Department of Biomedical Informatics, Harvard Medical School（生物医学信息学系，哈佛医学院） ； Peter Munk Cardiac Centre, University Health Network（皮特·蒙克心脏中心，大学健康网络） ； Medical Biophysics, University of Toronto（医学生物物理系，多伦多大学） ； Department of Computer Science, University of Toronto（计算机科学系，多伦多大学） ； Department of Laboratory Medicine and Pathobiology, University of Toronto（实验室医学与病理学系，多伦多大学） ； AI Hub, University Health Network（人工智能中心，大学健康网络） 纠错

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