医学 AI

False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation

错误置信度：颈椎分割中的自动标签混淆公平性审计

Linus Juni, Aasa Feragen, Aditya Parikh

机构 * Section for Visual Computing, DTU Compute, Technical University of Denmark（视觉计算部门，丹麦技术大学） 纠错

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

AI总结 研究针对颈椎MRI分割无公平性审计的问题，利用CSpineSeg数据集进行审计，发现参考标签选择非中立，银标签会使模型性能高估、公平性判定改变，指出参考标签来源是分割评估的混杂因素，应依专家标签报告性能与公平性并说明参考来源。

Comments 8 pages, 1 figure. Under review at FAIMI 2026 (MICCAI workshop)

Complete virtual unwrapping and reading of a rolled Herculaneum papyrus

完整虚拟展开与阅读一卷卷起的赫库兰尼姆纸莎草

Giorgio Angelotti, Stephen Parsons, Federica Nicolardi, Youssef Nader, Sean Johnson, David Josey, Paul Henderson, Hendrik Schilling, Johannes Rudolph, Forrest McDonald, Elian Rafael Dal Prá, Paul Tafforeau, Alessandro Mirone, Clifford Seth Parker, Jan Paul Posma, Benjamin Kyles, Claudio Vergara, Alessia Lavorante, Rossella Villa, Maria Chiara Robustelli, Marzia D'Angelo, Gianluca Del Mastro, Michael McOsker, Kilian Fleischer, Christy Chapman, Nat Friedman, William Brent Seales

机构 * Vesuvius Challenge, San Francisco, CA, USA（维苏威挑战，美国加州旧金山） ； EduceLab, University of Kentucky, Lexington, KY, USA（EduceLab，肯塔基大学，美国肯塔基州列克星敦） ； Università degli Studi di Napoli Federico II, Napoli, Italy（那不勒斯费德里科二世大学，意大利那不勒斯） ； University of Glasgow, Glasgow, UK（格拉斯哥大学，英国格拉斯哥） ； ESRF, Grenoble, France（欧洲同步辐射研究中心，法国格勒诺布尔） ； Università di Salerno, Salerno, Italy（萨勒诺大学，意大利萨勒诺） ； Università degli Studi della Campania Luigi Vanvitelli, S. Maria Capua Vetere, Italy（坎帕尼亚卢吉·范维蒂利大学，意大利圣玛丽亚·卡普阿·韦特里） ； University College London, London, UK（伦敦大学学院，英国伦敦） ； Universität Tübingen, Tübingen, Germany（图宾根大学，德国图宾根） 纠错

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

AI总结 利用高分辨率相衬显微CT和改进的机器学习方法，首次完整虚拟展开并阅读了赫库兰尼姆纸莎草卷PHerc. 1667，无需物理打开，并验证了墨迹恢复方法，为系统恢复未打开卷轴提供了可扩展框架。

Comments Preprint, 4 main figures

An Empirical Study on Variance-based MC Dropout Uncertainty-Error Correlation in 2D Brain Tumor Segmentation

基于方差的MC Dropout不确定性-误差相关性在二维脑肿瘤分割中的实证研究

Saumya B

机构 * Project Associate DESE, Indian Institute of Science（DESE项目助理，印度科学研究院） 纠错

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

AI总结 通过U-Net在四种增强设置下的实验，发现基于方差的MC Dropout不确定性在全局和边界上与分割误差的相关性较弱，表明其局限性。

Comments v2: Updated title and framing to clarify that findings are specific to variance-based uncertainty estimation via MC Dropout, not MC Dropout broadly. Minor textual improvements throughout. Code and results available at https://github.com/Saumya4321/mcd-error-correlation

Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries

学习任意卷积字典的时空自适应稀疏性水平图

Joshua Schulz, David Schote, Christoph Kolbitsch, Kostas Papafitsoros, Andreas Kofler

机构 * Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany（物理技术联邦机构（PTB），柏林和不莱梅，德国） ； School of Mathematical Sciences, Queen Mary University of London, UK（伦敦女王学院数学科学学院，英国） 纠错

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

AI总结 本文提出了一种学习方法，通过改进的网络设计和专门的训练策略，扩展了基于神经网络推断的时空自适应稀疏性水平图的图像重建方法，实现了滤波器排列不变性，并在低场MRI中展示了使用不同字典的优势。

Comments accepted for publication at ICIP 2026; differs from previous versions after a bugfix in one of the used packages; corresponds to the final camera-ready version submitted to the conference

SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation

SlicerRoboTMS：一种用于机器人辅助经颅磁刺激的开源3D切片扩展

Wenzhi Bai, Yituo Guo, Bhaskar Basu, Andrew Weightman, Zhenhong Li

机构 * Department of Electrical and Electronic Engineering（电气与电子工程系） ； University of Manchester（曼彻斯特大学） ； Rehabilitation Medicine（康复医学） ； Manchester University NHS Foundation Trust（曼彻斯特大学国家健康服务基金会信托） ； Department of Mechanical and Aerospace Engineering（机械与航空航天工程系） 纠错

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

AI总结 本文提出SlicerRoboTMS，一种开源3D切片扩展，通过统一交互基础设施支持机器人辅助经颅磁刺激研究，提供MRI导航和机器人系统接口，降低研究门槛，促进可重复和扩展的研究。

Comments Accepted by the 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2026

Behavior Score Prediction in Resting-State Functional MRI by Deep State Space Modeling

通过深度状态空间建模预测静息态功能磁共振成像中的行为评分

Javier Salazar Cavazos, Maximillian Egan, Krisanne Litinas, Benjamin Hampstead, Scott Peltier

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

AI总结 本文提出深度状态空间模型，利用血氧水平依赖时间序列预测行为评分，通过实验发现特定脑区与认知损伤相关，为阿尔茨海默病早期病理研究提供新见解。

Privacy-Preserving Collaborative Medical Image Segmentation Using Latent Transform Networks

基于潜在变换网络的隐私保护协作医学图像分割

Saheed Ademola Bello, Muhammad Shahid Jabbar, Muhammad Sohail Ibrahim, Shujaat Khan

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

AI总结 本文提出PPCMI-SF框架，通过潜在变换网络实现隐私保护的医学图像分割，提升分割精度并抵御潜在攻击。

Comments 14 pages, 8 figures

Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement

通过随机合成与解构在医疗图像基础模型预训练中获得免费午餐

Yuhan Wei, Yuting He, Linshan Wu, Fuxiang Huang, Junlin Hou, Hao Chen

机构 * Department of Computer Science and Engineering, the Hong Kong University of Science and Technology, Hong Kong, China（香港科技大学计算机科学与工程系） ； Department of Biomedical Engineering, Case Western Reserve University, OH, USA（凯斯西储大学生物医学工程系） ； School of Data Science, Lingnan University, Hong Kong, China（岭南大学数据科学学院） ； Department of Chemical and Biological Engineering and Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, China（香港科技大学化学与生物工程系） ； HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, China（香港科技大学深圳-香港协同创新研究院） ； State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Hong Kong, China（香港科技大学神经系统疾病国家重点实验室） 纠错

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

AI总结 本文提出RaSD框架，通过随机合成与解构方法在无需真实数据的情况下预训练医疗图像基础模型，实现稳健且可迁移的表示学习，展示了合成数据在医学AI中的强大潜力。

Data Exfiltration by Compression Attack: Definition and Evaluation on Medical Image Data

通过压缩攻击的数据外泄：在医学图像数据中的定义与评估

Huiyu Li, Nicholas Ayache, Hervé Delingette

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

AI总结 本文提出了一种基于图像压缩的新型数据外泄攻击，通过医学图像数据验证其有效性，并探讨了差分隐私等防护措施的应对策略。

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2025:032

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

Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI

Nazanin Maleki, Raisa Amiruddin, Ahmed W. Moawad, Nikolay Yordanov, Athanasios Gkampenis, Pascal Fehringer, Fabian Umeh, Crystal Chukwurah, Fatima Memon, Bojan Petrovic, Justin Cramer, Mark Krycia, Elizabeth B. Shrickel, Ichiro Ikuta, Gerard Thompson, Lorenna Vidal, Vilma Kosovic, Adam E. Goldman-Yassen, Virginia Hill, Tiffany So, Sedra Mhana, Albara Alotaibi, Nathan Page, Prisha Bhatia, Melisa S. Guelen, Yasaman Sharifi, Marko Jakovljevic, Salma Abosabie, Sara Abosabie, Mohanad Ghonim, Mohamed Ghonim, Amirreza Manteghinejad, Anastasia Janas, Kiril Krantchev, 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, 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 Pflüger, Jaeyoung Cho, Martin Bendszus, Gianluca Brugnara, Gloria J. Guzman Perez-Carillo, Derek R. Johnson, Anthony Kam, Benjamin Yin Ming Kwan, Lillian Lai, Neil U. Lall, Satya Narayana Patro, Lei Wu, Anu Bansal, Frederik Barkhof, Cristina Besada, Sammy Chu, Jason Druzgal, Alexandru Dusoi, Luciano Farage, Fabricio Feltrin, Amy Fong, Steve H. Fung, R. Ian Gray, Michael Iv, Alida A. Postma, Amit Mahajan, David Joyner, Chase Krumpelman, Laurent Letourneau-Guillon, Christie M. Lincoln, Mate E. Maros, Elka Miller, Fanny Morón, 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 Brüßeler, Abdullah Okar, Luca Pasquini, Yasaman Sharifi, Gagandeep Singh, Nico Sollmann, Theodora Soumala, Mahsa Taherzadeh, Philipp Vollmuth, Martha Foltyn-Dumitru, Ajay Malhotra, Francesco Dellepiane, Víctor M. Pérez-García, 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, Fátima 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 McDonnel, 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, Jeffrey D. Rudie, Janet Reid, Kassa Darge, Aly H. Abayazeed, Philipp Lohmann, Yuri S. Velichko, Spyridon Bakas, Mariam Aboian

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

Comments 28 pages, 4 figures, 2 tables

CryptoUNets: Applying Convolutional Networks to Encrypted Data for Biomedical Image Segmentation

John Chiang

专题命中 医学影像 ：medical image(title)；biomedical(title)

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects

Trina De, Adrian Urbanski, Artur Yakimovich

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

Comments 12 pages, 8 figures

Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports

David Le, Ramon Correa-Medero, Amara Tariq, Bhavik Patel, Motoyo Yano, Imon Banerjee

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

Comments 8 pages, 2 figures, AMIA 2025 Annual Symposium

Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI

Moritz Piening, Fabian Altekrüger, Gabriele Steidl, Elke Hattingen, Eike Steidl

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

GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image Generation

M. AbdulRazek, G. Khoriba, M. Belal

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

Comments 10 pages, 2 figures. Abstract published in Frontiers in Medical Technology, presented at the 27th Conference on Medical Image Understanding and Analysis 2023. DOI: 10.3389/978-2-8325-1231-9. URL: https://doi.org/10.3389/978-2-8325-1231-9

Journal ref 27th Conference on Medical Image Understanding and Analysis 2023, Frontiers, 2023, pp. 30-39

A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation

Yang Chen, Zhenyu Yang, Jingtong Zhao, Justus Adamson, Yang Sheng, Fang-Fang Yin, Chunhao Wang

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

Synthesis of realistic fetal MRI with conditional Generative Adversarial Networks

Marina Fernandez Garcia, Rodrigo Gonzalez Laiz, Hui Ji, Kelly Payette, Andras Jakab

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

DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim

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

Comments Accepted at IEEE Journal of Biomedical and Health Informatics (JBHI)

Journal ref IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 9, pp. 4497-4507, 2022

A review and experimental evaluation of deep learning methods for MRI reconstruction

Arghya Pal, Yogesh Rathi

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

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging 2022:2022:001. pp 1-58 Submitted 09/2021; Published 02/2022

Journal ref Journal of Machine Learning for Biomedical Imaging 2022

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors

Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed

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

Comments Accepted for the IEEE International Joint Conference on Neural Networks (IJCNN) 2020

Journal ref 2020 International Joint Conference on Neural Networks (IJCNN)

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation

Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu

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

Comments Published in Medical Image Analysis journal: https://doi.org/10.1016/j.media.2020.101907

Journal ref Medical Image Analysis, Volume 68, 2021, 101907, ISSN 1361-8415. http://www.sciencedirect.com/science/article/pii/S1361841520302711

3D Grid-Attention Networks for Interpretable Age and Alzheimer's Disease Prediction from Structural MRI

Pradeep Lam, Alyssa H. Zhu, Iyad Ba Gari, Neda Jahanshad, Paul M. Thompson

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

Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations

Axel Wismüller, Larry Stockmaster

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

Comments 9 pages, 1 figure, 1 table

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara, Edward Walczak, Keenan Moore, Heather Kaluzniak, Joel Rosenberg, Paul Blake, Zachary Rengel, Makinna Oestreich, Joshua Dean, Michael Tradewell, Aneri Shah, Resha Tejpaul, Zachary Edgerton, Matthew Peterson, Shaneabbas Raza, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher Weight

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

Comments 13 pages, 2 figures

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau

专题命中 医学影像 ：medical image(abstract)；CT(abstract)；diagnosis(abstract)；biomedical(abstract)

Unsupervised Deformable Image Registration Using Cycle-Consistent CNN

Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye

专题命中 医学影像 ：medical image(abstract)；CT(abstract)；diagnosis(abstract)；biomedical(abstract)

Comments accepted for MICCAI 2019

NLTG Priors in Medical Image: Nonlocal TV-Gaussian (NLTG) prior for Bayesian inverse problems with applications to Limited CT Reconstruction

Didi Lv, Qingping Zhou, Jae Kyu Choi, Jinglai Li, Xiaoqun Zhang

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

Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis

Md. Kamrul Hasan, Fakrul Islam Tushar

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

Highly accurate model for prediction of lung nodule malignancy with CT scans

Jason Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake Qualls, David G. Politte, Fred Prior, Shuzhong Zhang, Xiuzhen Huang

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

Évaluation d'une application de transmission d'images médicales avec un réseau sans fil

Jackson Francomme, Gilles Mercier, Sabri Chebira

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

Comments 12 pages

Journal ref 3ème Conférence internationale Sciences Électroniques, Technologies de l'Information et des Télécommunications, Sousse : Tunisie (2005)