医学 AI

Bayesian Inference for Incomplete 2x2 Diagnostic Tables

不完整2x2诊断表的贝叶斯推断

Sara Antonijevic, Danielle Sitalo, Brani Vidakovic

专题命中 医学影像 ：MRI(summary_cn,abstract)

AI总结 本文提出层次贝叶斯模型以重建不完整的2x2诊断表，解决医学研究中诊断准确性数据不完整的问题，通过两种场景展示方法，并在乳腺MRI研究中验证其重建性能。

Comments 21 pages, 10 tables. Supplementary materials and reproducible code available at https://github.com/saraantonijevic/bayesian_diagnostic_table-reconstruction

A note on the horizontal class transposition group

关于水平类交换群的一个注记

Junyao Pan

专题命中 医学影像 ：CT(summary_cn,abstract)

AI总结 本文研究了水平类交换群CT_n的结构，证明当n>3时CT_(n)同构于对称群S_N，解决了Bardakov和Iskra提出的猜想。

Comments In this note, we solve a conjecture proposed by Bardakov and Iskra, which has been included in the kourovka notebook: Unsolved problems in group theory, Novosibirsk, 2026

Harmonization mitigates diffusion MRI scanner effects in infancy: insights from the HEALthy Brain and Childhood Development (HBCD) study

谐调缓解婴儿扩散磁共振成像扫描仪效应：来自HEALthy Brain and Childhood Development (HBCD)研究的见解

Elyssa M. McMaster, Gaurav Rudravaram, Michael E. Kim, Trent M. Schwartz, Chloe Scholten, Jongyeon Yoon, Adam M. Saunders, Andre T. S. Hucke, Karthik Ramadass, Emily M. Harriott, Steven L. Meisler, Simon N. Vandekar, Allen Newton, Seth A. Smith, Saikat Sengupta, Kathryn L. Humphreys, Sarah Osmundson, Daniel Moyer, Laurie E. Cutting, Bennett A. Landman

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

AI总结 本文研究了HBCD研究中扩散MRI数据的扫描仪效应，通过ComBat-GAM谐调方法消除扫描仪相关变异，提升数据可靠性。

Comments ISBI 2026

Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT

拓扑引导的生物力学分析：一种白盒框架用于常规CT中脊柱不稳定性的机会性筛查

Zanting Ye, Xuanbin Wu, Guoqing Zhong, Shengyuan Liu, Jiashuai Liu, Ge Song, Zhisong Wang, Jing Hao, Xiaolong Niu, Yefeng Zheng, Yu Zhang, Lijun Lu

机构 * Southern Medical University（南方医科大学） ； The Affiliated Cancer Hospital of Zhengzhou University（郑州大学附属肿瘤医院） ； The Chinese University of Hong Kong（香港中文大学） ； Xi'an Jiaotong University（西安交通大学） ； Northwestern Polytechnical University（西北工业大学） ； The University of Hong Kong（香港大学） ； Westlake University（西湖大学） ； Guangdong Provincial People's Hospital（广东省人民医院） 纠错

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

AI总结 本文提出一种白盒框架，通过拓扑引导的生物力学分析，解决常规CT中脊柱不稳定性的筛查问题，通过几何创新和可解释的AI方法提高诊断准确性。

Comments 11 pages, 3 tables, 2 figures

Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions

利用nnU-Net实现脑卒中MRI病变自动分割：在急性与慢性病变上的全面外部验证

Tammar Truzman, Matthew A. Lambon Ralph, Ajay D. Halai

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

AI总结 本文利用nnU-Net框架对脑卒中MRI病变进行自动分割，验证了模型在急性与慢性病变中的泛化能力，发现病变体积和图像质量是影响分割准确性的关键因素。

Comments 32 pages, 7 figures. Submitted to Brain. Code and trained models available

Journal ref 2026

Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion

基于生理信息的生成多任务网络用于无对比剂CT灌注

Wasif Khan, John Rees, Kyle B. See, Simon Kato, Ziqian Huang, Amy Lazarte, Kyle Douglas, Xiangyang Lou, Teng J. Peng, Dhanashree Rajderkar, Pina Sanelli, Amita Singh, Ibrahim Tuna, Christina A. Wilson, Ruogu Fang

机构 * J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida（朱·克雷顿·普瑞特生物医学工程系，佛罗里达大学） ； Department of Radiology, University of Florida（放射医学系，佛罗里达大学） ； Department of Mathematics and Statistics, University of Florida（数学与统计学系，佛罗里达大学） ； Department of Biostatistics, University of Florida（生物统计学系，佛罗里达大学） ； Department of Neurology, University of Florida（神经医学系，佛罗里达大学） ； Feinstein Institutes for Medical Research（费因斯医学研究所） ； Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra Northwell（霍夫斯特拉北威尔医学学院放射医学系） ； Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida（认知衰老与记忆中心，麦金托什脑研究所，佛罗里达大学） ； Department of Electrical and Computer Engineering, University of Florida（电气与计算机工程系，佛罗里达大学） 纠错

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

AI总结 基于生理信息的生成多任务网络MAGIC可实现无对比剂CT灌注成像，提升图像保真度与诊断准确性，具有成本效益和临床应用前景。

Comments Under Review

Improving Artifact Robustness for CT Deep Learning Models Without Labeled Artifact Images via Domain Adaptation

通过领域自适应改进CT深度学习模型在无标注artifact图像情况下的鲁棒性

Justin Cheung, Samuel Savine, Calvin Nguyen, Lin Lu, Alhassan S. Yasin

机构 * Johns Hopkins University（约翰霍普金斯大学） 纠错

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

AI总结 本研究通过领域自适应方法提升CT深度学习模型在无标注artifact数据下的鲁棒性，实验证明该方法在环形artifact识别中准确率达77.4%。

Comments 8 pages, 12 figures, 1 table

Fully Automated Deep Learning Based Glenoid Bone Loss Measurement and Severity Stratification on 3D CT in Shoulder Instability

基于深度学习的全自动肩关节不稳3DCT中盂唇骨丢失测量与严重程度分层

Zhonghao Liu, Hanxue Gu, Qihang Li, Michael Fox, Jay M. Levin, Maciej A. Mazurowski, Brian C. Lau

机构 * Duke University（杜克大学） ； Duke University Medical Center（杜克大学医学中心） 纠错

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

AI总结 该研究提出了一种全自动深度学习方法，用于3DCT扫描中盂唇骨丢失的测量与严重程度分层，实现了高精度和高一致性，为肩关节不稳的术前规划提供可靠工具。

Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics

通过Shapley衍生的共识和不确定性度量实现深度学习分割的临床可解释性

Tianyi Ren, Daniel Low, Pittra Jaengprajak, Juampablo Heras Rivera, Jacob Ruzevick, Mehmet Kurt

机构 * Department of Mechanical Engineering, University of Washington（华盛顿大学机械工程系） ； University of Washington School of Medicine（华盛顿大学医学院） ； Department of Neurological Surgery, University of Washington（华盛顿大学神经外科系） 纠错

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

AI总结 本研究通过Shapley值提出共识和不确定性度量，用于评估深度学习分割模型的临床可解释性，以提高模型在医学影像中的可靠性与可接受性。

CT-Less Attenuation Correction Using Multiview Ensemble Conditional Diffusion Model on High-Resolution Uncorrected PET Images

Alexandre St-Georges, Gabriel Richard, Maxime Toussaint, Christian Thibaudeau, Etienne Auger, Étienne Croteau, Stephen Cunnane, Roger Lecomte, Jean-Baptiste Michaud

机构 * Department of Medical Imaging and Radiation Sciences（医学影像与放射科学系） ； Université de Sherbrooke（Sherbrooke大学） ； Sherbrooke Molecular Imaging Center（Sherbrooke分子影像中心） ； CRCHUS ； Nantes Université（Nantes大学） ； Laboratoire CRCI2NA, INSERM, CNRS（CRCI2NA实验室，INSERM，CNRS） ； Imaging Research and Technology (IR&T) Inc.（影像研究与技术公司） ； Research Center on Aging, Department of Medicine（衰老研究中心，医学系） ； Department of Electrical Engineering and Computer Engineering（电气工程与计算机工程系） 纠错

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

Comments This is a preprint and not the final version of this paper

Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation

Mingda Zhang

机构 * Software School, Yunnan University, Kunming 650504, Yunnan, China（云南大学软件学院） 纠错

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

Comments 31 pages,3 figures

Scaling Vision Transformers for Functional MRI with Flat Maps

Connor Lane, Daniel Z. Kaplan, Tanishq Mathew Abraham, Paul S. Scotti

机构 * Baylor College of Medicine（贝勒医学院） ； University of Florida（佛罗里达大学） 纠错

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

Comments NeurIPS 2025 Workshop, Foundation Models for the Brain and Body; Code: https://github.com/MedARC-AI/fmri-fm; Discord: https://discord.gg/tVR4TWnRM9

Learning from Limited Multi-Phase CT: Dual-Branch Prototype-Guided Framework for Early Recurrence Prediction in HCC

Hsin-Pei Yu, Si-Qin Lyu, Yi-Hsien Hsieh, Weichung Wang, Tung-Hung Su, Jia-Horng Kao, Che Lin

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

Using topological data analysis to compare inter-subject variability across resting state functional MRI brain representations

Ty Easley, Kevin Freese, Elizabeth Munch, Janine Bijsterbosch

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

Comments first version submitted for NeurIPS 2023 conference; second version revised and submitted to SOCG 2024; current version submitted to the journal "Imaging Neuroscience."

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance

Hallee E. Wong, Jose Javier Gonzalez Ortiz, John Guttag, Adrian V. Dalca

机构 * MIT CSAIL（麻省理工学院计算机科学与人工智能实验室） ； MGH（麻省总医院） ； Databricks（Databricks公司） ； MGH,HMS（麻省总医院,哈佛医学院） 纠错

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

Comments Accepted by ICCV 2025. Project Website: https://multiverseg.csail.mit.edu Keywords: interactive segmentation, in-context learning, medical image analysis, biomedical imaging, image annotation, visual prompting

Adaptive k-space Radial Sampling for Cardiac MRI with Reinforcement Learning

Ruru Xu, Ilkay Oksuz

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

Comments MICCAI 2025 STACOM workshop

Best Practices for Large Language Models in Radiology

Christian Bluethgen, Dave Van Veen, Cyril Zakka, Katherine Link, Aaron Fanous, Roxana Daneshjou, Thomas Frauenfelder, Curtis Langlotz, Sergios Gatidis, Akshay Chaudhari

机构 * Stanford Center for Artificial Intelligence in Medicine and Imaging（斯坦福大学人工智能医学与成像中心） ； Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich（苏黎世大学医院放射诊断与介入放射学） ； Department of Electrical Engineering, Stanford University（斯坦福大学电气工程系） ； Department of Cardiothoracic Surgery, Stanford Medicine（斯坦福医学院心胸外科系） ； Hugging Face ； Department of Medical Education, Icahn School of Medicine at Mount Sinai（伊坎医学院Mount Sinai医学教育系） ； NVIDIA Corporation（NVIDIA公司） ； UT Health San Antonio（UT健康科学中心圣安东尼奥分校） ； Department of Dermatology, Redwood City, CA, USA（红木城加州大学皮肤病学系） ； Department of Biomedical Data Science, Stanford, CA, USA（斯坦福大学生物医学数据科学系） ； Department of Medicine, Stanford, CA, USA（斯坦福大学医学系） ； Department of Radiology, Stanford University（斯坦福大学放射学系） 纠错

专题命中 医学影像 ：radiology(title,abstract)

Comments A redacted version of this preprint has been accepted for publication in Radiology

Journal ref Radiology 2025

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

机构 * Faculty of Informatics and Data Science, University of Regensburg（信息学与数据科学学院，莱茵河畔罗特魏尔大学） ； Faculty of Electrical Engineering and Information Technology, RWTH Aachen University（电气工程与信息科技学院，亚琛工业大学） ； Fraunhofer Institute for Digital Medicine MEVIS（弗劳恩霍夫数字医学研究所MEVIS） 纠错

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

Comments Accepted at MICCAI-2025

Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI

Karen Ardila, Aashka Mohite, Abdoljalil Addeh, Amanda V. Tyndall, Cindy K. Barha, Quan Long, M. Ethan MacDonald

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

Comments 7 pages, 5 figures, conference

Journal ref International Society for Magnetic Resonance in Medicine, ISMRM Annual Meeting, May 2025

Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations

Ruijie Wang, Luca Rossetto, Susan Mérillat, Christina Röcke, Mike Martin, Abraham Bernstein

机构 * Department of Informatics, University of Zurich（信息学院，苏黎世大学） ； School of Computing, Dublin City University（计算学院，都柏林城市大学） ； UZH Healthy Longevity Center, University of Zurich（UZH健康长寿中心，苏黎世大学） ； Department of Psychology, University of Zurich（心理学系，苏黎世大学） 纠错

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

DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI

Chengjin Li, Yuqian Chen, Nir A. Sochen, Wei Zhang, Carl-Fredrik Westin, Rathi Yogesh, Lauren J. O'Donnell, Ofer Pasternak, Fan Zhang

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

Comments 9 pages, 3 figures

Microscopic Propagator Imaging (MPI) with Diffusion MRI

Tommaso Zajac, Gloria Menegaz, Marco Pizzolato

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

A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI

William Consagra, Lipeng Ning, Yogesh Rathi

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

Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study

Elodie Germani, Nikhil Baghwat, Mathieu Dugré, Rémi Gau, Albert Montillo, Kevin Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard

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

Comments PLoS ONE, In press

Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN

Yanxi Chen, Yi Su, Celine Dumitrascu, Kewei Chen, David Weidman, Richard J Caselli, Nicholas Ashton, Eric M Reiman, Yalin Wang

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

Comments Accepted by ISBI 2025

Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification

Davide Coluzzi, Valentina Bordin, Massimo Walter Rivolta, Igor Fortel, Liang Zhang, Alex Leow, Giuseppe Baselli

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

Comments 26 pages, 5 figures

Journal ref Bioengineering 2025; 12(1):82

Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning

Asha V, Bhavanishankar K

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

Multi-Stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis

Vitalii Slobodzian, Pavlo Radiuk, Oleksander Barmak, Iurii Krak

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

Comments Cardiac MRI, heart pathology, deep learning, segmentation, Gaussian smoothing, classification, cascade

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

Ahmed W. Moawad, Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Nader Ashraf, Nazanin Maleki, Leon Jekel, Nikolay Yordanov, Pascal Fehringer, Athanasios Gkampenis, Raisa Amiruddin, Amirreza Manteghinejad, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Sanjay Aneja, Syed Muhammad Anwar, Timothy Bergquist, Veronica Chiang, Verena Chung, Gian Marco Conte, Farouk Dako, James Eddy, Ivan Ezhov, Nastaran Khalili, Keyvan Farahani, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Anahita Fathi Kazerooni, Florian Kofler, Kiril Krantchev, Dominic LaBella, Koen Van Leemput, Hongwei Bran Li, Marius George Linguraru, Xinyang Liu, Zeke Meier, Bjoern H Menze, Harrison Moy, Klara Osenberg, Marie Piraud, Zachary Reitman, Russell Takeshi Shinohara, Chunhao Wang, Benedikt Wiestler, Walter Wiggins, Umber Shafique, Klara Willms, Arman Avesta, Khaled Bousabarah, Satrajit Chakrabarty, Nicolo Gennaro, Wolfgang Holler, Manpreet Kaur, Pamela LaMontagne, MingDe Lin, Jan Lost, Daniel S. Marcus, Ryan Maresca, Sarah Merkaj, Gabriel Cassinelli Pedersen, Marc von Reppert, Aristeidis Sotiras, Oleg Teytelboym, Niklas Tillmans, Malte Westerhoff, Ayda Youssef, Devon Godfrey, Scott Floyd, Andreas Rauschecker, Javier Villanueva-Meyer, Irada Pfluger, Jaeyoung Cho, Martin Bendszus, Gianluca Brugnara, Justin Cramer, Gloria J. Guzman Perez-Carillo, Derek R. Johnson, Anthony Kam, Benjamin Yin Ming Kwan, Lillian Lai, Neil U. Lall, Fatima Memon, Mark Krycia, Satya Narayana Patro, Bojan Petrovic, Tiffany Y. So, Gerard Thompson, Lei Wu, E. Brooke Schrickel, Anu Bansal, Frederik Barkhof, Cristina Besada, Sammy Chu, Jason Druzgal, Alexandru Dusoi, Luciano Farage, Fabricio Feltrin, Amy Fong, Steve H. Fung, R. Ian Gray, Ichiro Ikuta, Michael Iv, Alida A. Postma, Amit Mahajan, David Joyner, Chase Krumpelman, Laurent Letourneau-Guillon, Christie M. Lincoln, Mate E. Maros, Elka Miller, Fanny Moron, Esther A. Nimchinsky, Ozkan Ozsarlak, Uresh Patel, Saurabh Rohatgi, Atin Saha, Anousheh Sayah, Eric D. Schwartz, Robert Shih, Mark S. Shiroishi, Juan E. Small, Manoj Tanwar, Jewels Valerie, Brent D. Weinberg, Matthew L. White, Robert Young, Vahe M. Zohrabian, Aynur Azizova, Melanie Maria Theresa Bruseler, Mohanad Ghonim, Mohamed Ghonim, Abdullah Okar, Luca Pasquini, Yasaman Sharifi, Gagandeep Singh, Nico Sollmann, Theodora Soumala, Mahsa Taherzadeh, Philipp Vollmuth, Martha Foltyn-Dumitru, Ajay Malhotra, Aly H. Abayazeed, Francesco Dellepiane, Philipp Lohmann, Victor M. Perez-Garcia, Hesham Elhalawani, Maria Correia de Verdier, Sanaria Al-Rubaiey, Rui Duarte Armindo, Kholod Ashraf, Moamen M. Asla, Mohamed Badawy, Jeroen Bisschop, Nima Broomand Lomer, Jan Bukatz, Jim Chen, Petra Cimflova, Felix Corr, Alexis Crawley, Lisa Deptula, Tasneem Elakhdar, Islam H. Shawali, Shahriar Faghani, Alexandra Frick, Vaibhav Gulati, Muhammad Ammar Haider, Fatima Hierro, Rasmus Holmboe Dahl, Sarah Maria Jacobs, Kuang-chun Jim Hsieh, Sedat G. Kandemirli, Katharina Kersting, Laura Kida, Sofia Kollia, Ioannis Koukoulithras, Xiao Li, Ahmed Abouelatta, Aya Mansour, Ruxandra-Catrinel Maria-Zamfirescu, Marcela Marsiglia, Yohana Sarahi Mateo-Camacho, Mark McArthur, Olivia McDonnell, Maire McHugh, Mana Moassefi, Samah Mostafa Morsi, Alexander Munteanu, Khanak K. Nandolia, Syed Raza Naqvi, Yalda Nikanpour, Mostafa Alnoury, Abdullah Mohamed Aly Nouh, Francesca Pappafava, Markand D. Patel, Samantha Petrucci, Eric Rawie, Scott Raymond, Borna Roohani, Sadeq Sabouhi, Laura M. Sanchez-Garcia, Zoe Shaked, Pokhraj P. Suthar, Talissa Altes, Edvin Isufi, Yaseen Dhemesh, Jaime Gass, Jonathan Thacker, Abdul Rahman Tarabishy, Benjamin Turner, Sebastiano Vacca, George K. Vilanilam, Daniel Warren, David Weiss, Fikadu Worede, Sara Yousry, Wondwossen Lerebo, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah Sheller, Katherine E. Link, Evan Calabrese, Nourel hoda Tahon, Ayman Nada, Yuri S. Velichko, Spyridon Bakas, Jeffrey D. Rudie, Mariam Aboian

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

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion

Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen

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

Comments ICIBM'23': International Conference on Intelligent Biology and Medicine, Tampa, FL, USA, July 16-19, 2023