arXivDaily arXiv每日学术速递 周一至周五更新

科学与医疗

医学 AI

医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。

2026-02-13 至 2026-02-13 共收录 34 信号源:cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 医学影像 13 篇

2403.17770 2026-02-13 eess.IV cs.CV 84%

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation

基于条件扩散模型的CT合成用于腹部淋巴结分割

Yongrui Yu, Hanyu Chen, Zitian Zhang, Qiong Xiao, Wenhui Lei, Linrui Dai, Yu Fu, Hui Tan, Guan Wang, Peng Gao, Xiaofan Zhang

机构 * Shanghai Jiao Tong University, Shanghai, China(上海交通大学) Department of Surgical Oncology and General Surgery, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China(外科肿瘤科和普通外科,精准诊断与治疗胃肠肿瘤国家重点实验室,教育部,中国医科大学第一附属医院,沈阳,中国) Department of Radiology, The First Hospital of China Medical University, Shenyang, China(放射科,中国医科大学第一附属医院,沈阳,中国) Shanghai AI Laboratory, Shanghai, China(上海人工智能实验室,上海,中国)

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

AI总结 本文提出LN-DDPM模型,通过条件扩散模型生成腹部淋巴结数据,提升分割性能。

详情

展开后加载摘要…

URL PDF HTML 收藏
2505.02784 2026-02-13 cs.CV 83%

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge

自动化胎儿脑MRI分割与生物测量的进展:来自FeTA 2024挑战的见解

Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp, Margaux Roulet, Diego Fajardo-Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovčić, Melita Klaić, Ana Adžić, Pavel Marković, Gracia Grabarić, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Žiga Špiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A Niederer, Andras Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra

机构 * organization= Department of Radiology, Lausanne University Hospital University of Lausanne , city= Lausanne , country= Switzerland organization= CIBM Center for Biomedical Imaging , city= Lausanne , country= Switzerland organization= Department of Early Life Imaging, School of Biomedical Engineering \& Imaging Sciences, King’s College London , city= London , country= UK organization= Smart Imaging Lab, University Hospital Erlangen , city= Erlangen , country= Germany organization= Center for MR-Research, University Children’s Hospital Zurich, University of Zurich , city= Zurich , country= Switzerland organization= Neuroscience Center Zurich, University of Zurich , city= Zurich , country= Switzerland organization= National Heart \& Lung Institute, Imperial College London , city= London , country= UK organization= University of California, San Francisco UCSF Benioff Children’s Hospital , city= San Francisco , state= California , country= USA organization= Department of Quantitative Biomedicine, University of Zurich , city= Zurich , country= Switzerland organization= Department of Informatics, Technical University of Munich , city= Munich , country= Germany organization= Boston Children’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA organization= Neuroimaging Unit, Scientific Institute IRCCS E. Medea , city= Bosisio Parini , country= Italy organization= Department of Informatics, Systems Communication, University of Milano Bicocca , city= Milan , country= Italy organization= Research Institute of Computer Vision organization= BCN MedTech, Department of Engineering, Universitat Pompeu Fabra , city= Barcelona , country= Spain organization= Department of Information Engineering, University of Padova , city= Padova , country= Italy organization= Institut Pasteur, Université Paris Cité, CNRS UMR 3571, Decision organization= Inria, HeKA, PariSantéCampus , city= Paris , country= France organization= L. D. College of Engineering , city= Gujarat , country= India organization= Medical Faculty Heidelberg, Heidelberg University , addressline= Pattern Analysis Learning Group, Department of Radiation Oncology, Heidelberg University Hospital , city= Heidelberg , country= Germany organization= Canon Medical Systems (China) Co., Ltd , city= , country= China organization= Faculty of Electrical Engineering, University of Ljubljana , city= Ljubljana , country= Slovenia organization= Department of Radiology, Seoul National University Hospital , city= Seoul , country= South Korea organization= School of Mechanical Electrical Engineering, University of Electronic Science organization= School of Computer Science, Wuhan University , city= Wuhan , country= China Developmental Science Center, Boston Children’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA organization= Hawkes Institute, Department of Computer Science, University College London , city= London , country= UK organization= Laboratory for Computational Neuroimaging, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School , city= Charlestown , state= Massachusetts , country= USA organization= Department of Biomedical Imaging Image-guided Therapy, Computational Imaging Research Lab (CIR), Early Life Image Analysis Group, Medical University of Vienna , city= Vienna , country= Austria organization= University Research Priority Project Adaptive Brain Circuits in Development Learning (AdaBD), University of Zurich , city= Zurich , country= Switzerland organization= Sagol Brain Institute, Tel Aviv Sourasky Medical Center School of EE, Tel-Aviv University , city= Tel-Aviv , country= Israel organization= Department of Medical Imaging Sciences, The Faculty of Social Welfare Health Sciences, University of Haifa , city= Haifa , country= Israel Faculty of Medicine Sagol School of Neuroscience, Tel-Aviv University , city= Tel-Aviv , country= Israel organization= Department Woman-Mother-Child, CHUV , city= Lausanne , country= Switzerland organization= BCNatal Fetal Medicine Research Center (Hospital Clínic Hospital Sant Joan de Déu), Universitat de Barcelona , city= Barcelona , country= Spain organization= German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing , city= Heidelberg , country= Germany organization= Helmholtz Imaging, German Cancer Research Center (DKFZ) , city= Heidelberg , country= Germany organization= Faculty of Mathematics Computer Science, Heidelberg University , city= Heidelberg , country= Germany organization= University of Zurich , city= Zurich , country= Switzerland organization= Croatian Institute for Brain Research, School of Medicine, University of Zagreb , city= Zagreb , country= Croatia organization= Department of Biomedical Engineering, School of Biomedical Engineering \& Imaging Sciences, King’s College , city= London , country= United Kingdom Musculoskeletal Radiology, Medical University of Vienna , city= Vienna , country= Austria organization= Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA organization= Department of Radiology, Boston Children’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA

专题命中 医学影像 :MRI(title,abstract);pathology(abstract);分类 cs.CV

AI总结 FeTA 2024挑战通过引入生物测量预测和低场MRI数据,推动了胎儿脑MRI分割与生物测量的自动化进展,揭示了拓扑差异和成像系统对分割性能的影响。

详情

展开后加载摘要…

URL PDF HTML 收藏
2512.13101 2026-02-13 cs.CV cs.AI cs.LG 81%

Harmonizing Generalization and Specialization: Uncertainty-Informed Collaborative Learning for Semi-supervised Medical Image Segmentation

协调泛化与专门化:基于不确定性的协作学习用于半监督医学图像分割

Wenjing Lu, Yi Hong, Yang Yang

机构 * AGI Institute, School of Computer Science, Shanghai Jiao Tong University(AGI研究院,计算机科学学院,上海交通大学)

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

AI总结 本文提出UnCoL框架,通过双教师机制协调半监督医学图像分割中的泛化与专门化,利用不确定性指导伪标签学习以提升分割性能。

Comments Accepted for publication in IEEE Transactions on Medical Imaging (TMI), 2026

详情

展开后加载摘要…

URL PDF HTML 收藏
2503.10156 2026-02-13 eess.IV cs.CV 81%

Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction

多中心胎儿脑部MRI超分辨率重建中的自动质量控制

Thomas Sanchez, Vladyslav Zalevskyi, Angeline Mihailov, Gerard Martí-Juan, Elisenda Eixarch, Andras Jakab, Vincent Dunet, Mériam Koob, Guillaume Auzias, Meritxell Bach Cuadra

机构 * CIBM -- Center for Biomedical Imaging(CIBM生物医学成像中心) Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne(诊断与介入放射学系,洛桑大学医院和洛桑大学) Aix-Marseille Université(阿维尼昂-马赛大学) BCN MedTech(BCN医疗技术) BCNatal Fetal Medicine Research Center(BCNatal胎儿医学研究中心) IDIBAPS and CIBERER(IDIBAPS与CIBERER) Center for MR Research(磁共振研究中心) Neuroscience Center Zurich(苏黎世神经科学中心) Research Priority Project Adaptive Brain Circuits in Development and Learning (AdaBD)(发展与学习适应性脑回路研究优先项目)

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

AI总结 本文提出FetMRQC_SR方法,通过机器学习提取100+图像质量指标,实现胎儿脑MRI超分辨率重建的质量自动控制,验证其在域外数据下的高性能。

Comments 14 pages, 5 figures; accepted at the 2025 MICCAI Perinatal, Preterm and Paediatric Image Analysis (PIPPI) Workshop

详情

展开后加载摘要…

URL PDF HTML 收藏
2306.03284 2026-02-13 cs.LG eess.IV 81%

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models

利用扩散生成模型优化压缩感知MRI的采样模式

Sriram Ravula, Brett Levac, Yamin Arefeen, Ajil Jalal, Alexandros G. Dimakis, Jonathan I. Tamir

机构 * Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin(查德拉家族电子与计算机工程系,德克萨斯大学奥斯汀分校) The University of Texas at Austin(德克萨斯大学奥斯汀分校) Imaging Physics, MD Anderson Cancer Center, Houston, Texas, USA(影像物理,MD安德森癌症中心,休斯顿,德克萨斯州,美国) Electrical Engineering and Computer Sciences, University of California, Berkeley(电气工程与计算机科学,加州大学伯克利分校) Department of Diagnostic Medicine, Dell Medical School, Austin, Texas, USA(诊断医学系,德勒医学学院,奥斯汀,德克萨斯州,美国)

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

AI总结 本文提出利用扩散模型优化MRI采样模式,以提高加速多通道MRI重建的质量。

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11880 2026-02-13 cs.CV cs.AI 79%

SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training

SynthRAR: 通过展开网络和合成数据训练的CT环状伪影减少

Hongxu Yang, Levente Lippenszky, Edina Timko, Gopal Avinash

机构 * Science&Technology Organization, GE HealthCare(科学与技术组织,通用电气医疗)

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

AI总结 SynthRAR通过展开网络和合成数据训练,有效减少CT环状伪影,无需真实临床数据即可提升重建图像质量。

Comments Prepare for submission

详情

展开后加载摘要…

URL PDF HTML 收藏
2510.17436 2026-02-13 eess.IV 79%

Segmenting infant brains across magnetic fields: Domain randomization and annotation curation in ultra-low field MRI

在磁场中分割婴儿大脑:在超低场MRI中域随机化和标注整理

Vladyslav Zalevskyi, Dondu-Busra Bulut, Thomas Sanchez, Meritxell Bach Cuadra

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

AI总结 本文提出域随机化框架,通过提升标注质量与数据增强,实现超低场MRI中婴儿大脑分割的准确性和鲁棒性。

Comments 1st place (hippocampus) and 3rd place (basal ganglia) in the Low field pediatric brain magnetic resonance Image Segmentation and quality Assurance Challenge (LISA) 2025

详情

展开后加载摘要…

URL PDF HTML 收藏
2503.17600 2026-02-13 physics.med-ph eess.SP 79%

Imaging Intravoxel Vessel Size Distribution in the Brain Using Susceptibility Contrast Enhanced MRI

利用磁共振成像的磁 susceptibility 对比度分析脑内 voxel 内血管尺寸分布

Natenael B. Semmineh, Indranil Guha, Deborah Healey, Anagha Chandrasekharan, Jerrold L. Boxerman, C. Chad Quarles

专题命中 医学影像 :MRI(title,abstract);分类 eess.SP

AI总结 本文提出一种基于磁 susceptibility 对比度的 MRI 方法,用于分析脑内 voxel 内血管尺寸分布,以更全面评估血管重塑。

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11625 2026-02-13 cs.CV cs.AI 79%

PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction

PLOT-CT:预对数 Voronoi 分解辅助低剂量 CT 重建

Bin Huang, Xun Yu, Yikun Zhang, Yi Zhang, Yang Chen, Qiegen Liu

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

AI总结 PLOT-CT 通过预对数 Voronoi 分解提升低剂量 CT 重建精度,实现 2.36dB 的 PSNR 改进。

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11436 2026-02-13 cs.CV cs.AI 74%

Fighting MRI Anisotropy: Learning Multiple Cardiac Shapes From a Single Implicit Neural Representation

对抗MRI各向异性:从单一隐式神经表示学习多种心脏形状

Carolina Brás, Soufiane Ben Haddou, Thijs P. Kuipers, Laura Alvarez-Florez, R. Nils Planken, Fleur V. Y. Tjong, Connie Bezzina, Ivana Išgum

机构 * Amsterdam UMC(阿姆斯特丹大学医学中心) University of Amsterdam(阿姆斯特丹大学) Informatics Institute(信息学院) QurAI group(QurAI组) Amsterdam Cardiovascular Sciences(阿姆斯特丹心血管科学) Department of Biomedical Engineering and Physics(生物医学工程与物理系) Department of Radiology and Nuclear Medicine(放射学与核医学系) Department of Radiology(放射学系) Mayo Clinic(梅奥诊所) Department of Clinical and Experimental Cardiology(临床与实验心脏病学系) Department of Experimental Cardiology(实验心脏病学系) Heart Failure & Arrhythmias(心力衰竭与心律失常)

专题命中 医学影像 :MRI(title);分类 cs.CV

AI总结 本文提出利用高分辨率CTA数据训练隐式神经网络,以解决MRI各向异性问题,实现更精确的心脏形状重建。

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11628 2026-02-13 cs.CV cs.LG 73%

PLESS: Pseudo-Label Enhancement with Spreading Scribbles for Weakly Supervised Segmentation

PLESS: 基于扩散涂鸦的伪标签增强用于弱监督分割

Yeva Gabrielyan, Varduhi Yeghiazaryan, Irina Voiculescu

机构 * Akian College of Science and Engineering, American University of Armenia(阿塞拜疆美国大学科学与工程学院) Department of Computer Science, University of Oxford(牛津大学计算机科学系)

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

AI总结 PLESS通过扩散涂鸦信息提升伪标签可靠性,改进弱监督分割性能。

Comments This work was supported by the Afeyan Family Foundation Seed Grants and the JACE Foundation Research Innovation Grant Program at AUA

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11942 2026-02-13 cs.CV cs.AI 57%

Synthesis of Late Gadolinium Enhancement Images via Implicit Neural Representations for Cardiac Scar Segmentation

通过隐式神经表示合成晚期钆增强图像用于心脏瘢痕分割

Soufiane Ben Haddou, Laura Alvarez-Florez, Erik J. Bekkers, Fleur V. Y. Tjong, Ahmad S. Amin, Connie R. Bezzina, Ivana Išgum

机构 * Amsterdam UMC, The Netherlands(阿姆斯特丹大学医学中心,荷兰) University of Amsterdam, The Netherlands(阿姆斯特丹大学,荷兰) Informatics Institute, University of Amsterdam, The Netherlands(阿姆斯特丹大学信息学院,荷兰) Amsterdam Cardiovascular Sciences, Amsterdam UMC, The Netherlands(阿姆斯特丹心血管科学,阿姆斯特丹大学医学中心,荷兰) Amsterdam Machine Learning Lab, University of Amsterdam, The Netherlands(阿姆斯特丹机器学习实验室,阿姆斯特丹大学,荷兰) Department of Biomedical Engineering and Physics, Amsterdam UMC, The Netherlands(生物医学工程与物理系,阿姆斯特丹大学医学中心,荷兰) Department of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam UMC, The Netherlands(实验心脏病学系,阿姆斯特丹心血管科学,心力衰竭与心律失常,阿姆斯特丹大学医学中心,荷兰) Department of Cardiology, Amsterdam UMC, The Netherlands(心脏病学系,阿姆斯特丹大学医学中心,荷兰) Department of Radiology and Nuclear Medicine, Amsterdam UMC, The Netherlands(放射学与核医学系,阿姆斯特丹大学医学中心,荷兰) Department of Radiology, Mayo Clinic, Rochester, United States of America(放射学系,梅奥诊所,罗切斯特,美国)

专题命中 医学影像 :MRI(abstract);分类 cs.CV

AI总结 本文提出利用隐式神经表示和扩散模型合成LGE图像,以提高心脏瘢痕分割的性能,通过生成合成数据缓解标注数据不足的问题。

Comments Paper accepted at SPIE Medical Imaging 2026 Conference

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11705 2026-02-13 cs.CV 57%

TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction

TG-Field:基于几何的辐射高斯场用于断层扫描重建

Yuxiang Zhong, Jun Wei, Chaoqi Chen, Senyou An, Hui Huang

专题命中 医学影像 :CT(abstract);分类 cs.CV

AI总结 TG-Field通过几何感知高斯变形框架,提升静态和动态CT重建的精度与效率,尤其在稀疏投影条件下表现优异。

Comments Accepted to AAAI 2026. Project page: https://vcc.tech/research/2026/TG-Field

详情

展开后加载摘要…

URL PDF HTML 收藏

2. 临床大模型 1 篇

2511.00772 2026-02-13 cs.DB cs.LG stat.AP 57%

Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints

通过环境约束下的大型语言模型可靠地整理EHR数据集

Raymond M. Xiong, Panyu Chen, Tianze Dong, Jian Lu, Louis Hu, Nathan Yu, Benjamin Goldstein, Danyang Zhuo, Anru R. Zhang

机构 * Duke University(杜克大学)

专题命中 临床大模型 :biomedical(abstract);分类 cs.LG

AI总结 CELEC通过环境约束下的大型语言模型可靠地整理EHR数据集,提升数据提取和分析的准确性和隐私保护。

详情

展开后加载摘要…

URL PDF HTML 收藏

3. 诊断辅助 11 篇

2411.02127 2026-02-13 cs.LG eess.SP 81%

Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines

风力涡轮机故障诊断的监督迁移学习框架

Kenan Weber, Christine Preisach

机构 * Hochschule Karlsruhe - University of Applied Sciences(卡尔斯鲁厄应用技术大学)

专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG、eess.SP

AI总结 本文提出了一种基于异常空间的监督迁移学习框架,用于风力涡轮机故障诊断,通过多层感知机实现了高准确度的跨领域故障检测。

Comments 9 pages, 4 figures, to be published in: Upper Rhine AI Symposium (URAI) 2024

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11237 2026-02-13 cs.LG cs.AI 79%

AI-Driven Clinical Decision Support System for Enhanced Diabetes Diagnosis and Management

基于人工智能的临床决策支持系统用于增强糖尿病诊断与管理

Mujeeb Ur Rehman, Imran Rehan, Sohail Khalid

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

AI总结 本文提出了一种基于人工智能的临床决策支持系统,用于高精度诊断2型糖尿病,其在预测糖尿病、糖尿病前期和高风险个体方面表现出极高的准确性。

详情

展开后加载摘要…

URL PDF HTML 收藏
2511.19576 2026-02-13 cs.CV 79%

Leveraging Unlabeled Scans for NCCT Image Segmentation in Early Stroke Diagnosis: A Semi-Supervised GAN Approach

利用未标记扫描数据进行早期中风诊断的NCCT图像分割:一种半监督GAN方法

Maria Thoma, Michalis A. Savelonas, Dimitris K. Iakovidis

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

AI总结 本文提出一种半监督GAN方法,利用未标记扫描数据提升早期中风NCCT图像分割的准确性,以提高诊断效率和临床决策支持。

Journal ref Proc. IEEE International Conference on BioInformatics and BioEngineering (BIBE), Athens, Greece, 2025

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11239 2026-02-13 cs.CV cs.AI cs.LG 76%

Toward Reliable Tea Leaf Disease Diagnosis Using Deep Learning Model: Enhancing Robustness With Explainable AI and Adversarial Training

迈向可靠茶叶疾病诊断的深度学习模型:通过可解释AI和对抗训练增强鲁棒性

Samanta Ghosh, Jannatul Adan Mahi, Shayan Abrar, Md Parvez Mia, Asaduzzaman Rayhan, Abdul Awal Yasir, Asaduzzaman Hridoy

专题命中 诊断辅助 :diagnosis(title);分类 cs.CV、cs.LG

AI总结 本文提出基于深度学习的自动化模型,利用可解释AI和对抗训练提高鲁棒性,实现茶叶疾病准确分类。

Comments 6 pages,9 figures, 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.12083 2026-02-13 cs.AI cs.LO 71%

Differentiable Modal Logic for Multi-Agent Diagnosis, Orchestration and Communication

可微模态逻辑用于多智能体诊断、协调与通信

Antonin Sulc

机构 * Lawrence Berkeley National Lab(伯克利劳伦斯国家实验室) Berkeley(伯克利)

专题命中 诊断辅助 :diagnosis(title)

AI总结 本文提出可微模态逻辑,通过神经符号方法实现多智能体系统的调试与协调,结合知识注入和多模态推理,提升智能体间的信任与因果推理能力。

Comments 29 pages, 8 figures, 8 tables, Tutorial at 3rd International Conference on Neuro-Symbolic Systems (NeuS)

详情

展开后加载摘要…

URL PDF HTML 收藏
2511.19578 2026-02-13 cs.CV 57%

Multiscale Vector-Quantized Variational Autoencoder for Endoscopic Image Synthesis

多尺度向量量化变分自编码器用于内窥镜图像合成

Dimitrios E. Diamantis, Dimitris K. Iakovidis

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

AI总结 本文提出多尺度向量量化变分自编码器,用于生成内窥镜图像中的异常,提升临床决策支持系统的性能。

Journal ref Proc. IEEE International Conference on Imaging Systems and Techniques (IST 2025), Strasburg, France

详情

展开后加载摘要…

URL PDF HTML 收藏
2505.13732 2026-02-13 stat.ML cs.LG 57%

Backward Conformal Prediction

反向符合预测

Etienne Gauthier, Francis Bach, Michael I. Jordan

机构 * INRIA-ENS-PSL Paris(法国国家信息与自动化研究所-巴黎综合理工学院-巴黎理工学院) UC Berkeley(加州大学伯克利分校)

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

AI总结 反向符合预测通过约束预测集大小行为并调整覆盖率水平,提供灵活的可计算覆盖率保证,适用于医疗诊断等大预测集不现实的应用场景。

Comments Code available at: https://github.com/GauthierE/backward-cp

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11703 2026-02-13 cs.CV cs.AI 57%

Semantically Conditioned Diffusion Models for Cerebral DSA Synthesis

具有语义条件的扩散模型用于脑部DSA合成

Qiwen Xu, David Rügamer, Holger Wenz, Johann Fontana, Nora Meggyeshazi, Andreas Bender, Máté E. Maros

机构 * Department of Statistics, LMU Munich(统计学系) Department of Biomedical Informatics (DBMI), Medical Faculty Mannheim, Heidelberg University(生物医学信息学系) Munich Center for Machine Learning (MCML)(慕尼黑机器学习中心) Clinic for Diagnostic and Interventional Neuroradiology, Medical Faculty Mannheim, Heidelberg University(诊断和介入神经放射科) Department of Anesthesiology and Intensive Care Medicine, BG Trauma Center Tuebingen(麻醉和重症医学科)

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

AI总结 本研究提出一种具有语义条件的扩散模型,用于生成具有真实感的脑部DSA图像,以支持医学研究和算法开发。

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11425 2026-02-13 cs.SD cs.LG 57%

Surface impedance inference via neural fields and sparse acoustic data obtained by a compact array

通过神经场和稀疏声学数据推断表面阻抗

Yuanxin Xia, Xinyan Li, Matteo Calafà, Allan P. Engsig-Karup, Cheol-Ho Jeong

机构 * Acoustic Technology, Department of Electrical and Photonics Engineering(声学技术,电气与光子工程系) Department of Applied Mathematics and Computer Science(应用数学与计算机科学系)

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

AI总结 本文提出一种基于神经场和稀疏声学数据的方法,用于推断表面阻抗,适用于建筑和汽车声学的现场表征。

详情

展开后加载摘要…

URL PDF HTML 收藏
2511.14312 2026-02-13 cs.LG cs.AI 57%

H-LDM: Hierarchical Latent Diffusion Models for Controllable and Interpretable PCG Synthesis from Clinical Metadata

H-LDM:用于从临床元数据生成可控且可解释的PCG合成的分层潜在扩散模型

Chenyang Xu, Siming Li, Hao Wang

机构 * School of Cyber Engineering Xidian University Xi'an, China(电子科技大学信息工程学院西安中国) School of Telecommunications Engineering Xidian University Xi'an, China(电子科技大学电信工程学院西安中国)

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

AI总结 H-LDM通过分层潜在扩散模型从临床元数据生成可控且可解释的PCG信号,提升心血管疾病诊断的准确性和有效性。

Comments This paper was accepted by IEEE BIBM 2025 conference

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.12106 2026-02-13 cs.CR 50%

MedExChain: Enabling Secure and Efffcient PHR Sharing Across Heterogeneous Blockchains

MedExChain: 促进跨异构区块链的 secure 且 efficient 的 PHR 分享

Yongyang Lv, Xiaohong Li, Kui Chen, Zhe Hou, Guangdong Bai, Ruitao Feng

专题命中 诊断辅助 :diagnosis(abstract)

AI总结 MedExChain通过跨异构区块链的安全高效PHR共享方案,解决医疗数据在不同区块链架构间共享的性能与安全挑战。

详情

展开后加载摘要…

URL PDF HTML 收藏

4. 病理影像 5 篇

2602.11234 2026-02-13 cs.LG q-bio.NC 60%

Learning Glioblastoma Tumor Heterogeneity Using Brain Inspired Topological Neural Networks

利用受大脑启发的拓扑神经网络学习胶母细胞瘤肿瘤异质性

Ankita Paul, Wenyi Wang

机构 * The University of Texas MD Anderson Cancer Center(德克萨斯大学MD安德森癌症中心)

专题命中 病理影像 :MRI(abstract);分类 cs.LG、q-bio

AI总结 TopoGBM通过拓扑正则化的3D卷积自编码器,学习保留肿瘤异质性的鲁棒表示,提升跨机构GBM预后预测性能。

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.11646 2026-02-13 cs.CV cs.AI 57%

Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks

脑肿瘤分类器受攻击:对抗ResNet变体的可迁移FGSM和PGD攻击的鲁棒性

Ryan Deem, Garrett Goodman, Waqas Majeed, Md Abdullah Al Hafiz Khan, Michail S. Alexiou

机构 * Department of Computer Science(计算机科学系) Computer Science and Software Engineering(计算机科学与软件工程)

专题命中 病理影像 :MRI(abstract);分类 cs.CV

AI总结 本文研究了ResNet变体在FGSM和PGD攻击下的鲁棒性,发现BrainNeXt在对抗攻击中表现最稳健,但生成的可迁移对抗样本较弱,而BrainNet和DilationNet在特定攻击条件下更易受攻击。

Journal ref IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE) Athens Greece 2025 pp. 420-428

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.09477 2026-02-13 cs.CV 57%

Weakly Supervised Contrastive Learning for Histopathology Patch Embeddings

弱监督对比学习用于病理切片嵌入

Bodong Zhang, Xiwen Li, Hamid Manoochehri, Xiaoya Tang, Deepika Sirohi, Beatrice S. Knudsen, Tolga Tasdizen

机构 * Department of Electrical and Computer Engineering, University of Utah(电气与计算机工程系,犹他大学) Scientific Computing and Imaging Institute, University of Utah(科学计算与成像研究所,犹他大学) Department of Pathology, University of Utah(病理学系,犹他大学)

专题命中 病理影像 :diagnosis(abstract);分类 cs.CV

AI总结 本文提出弱监督对比学习方法,通过结合袋级标签信息提升病理切片嵌入的下游MIL性能。

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.12240 2026-02-13 physics.chem-ph 50%

Harmonic-to-anharmonic thermodynamic integration made simple using REG TI

利用REG TI简化谐波到非谐波热力学积分

Venkat Kapil

专题命中 病理影像 :pathology(abstract)

AI总结 REG TI通过正则化方法消除谐波到非谐波热力学积分中的奇点,简化了固体的非谐波自由能计算并可能实现自动化。

Comments 7 pages, 2 figures

Journal ref J. Chem. Phys. 164, 051101 (2026)

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.12004 2026-02-13 cs.AI 50%

CSEval: A Framework for Evaluating Clinical Semantics in Text-to-Image Generation

CSEval: 一个用于评估文本到图像生成中临床语义的框架

Robert Cronshaw, Konstantinos Vilouras, Junyu Yan, Yuning Du, Feng Chen, Steven McDonagh, Sotirios A. Tsaftaris

机构 * School of Engineering, University of Edinburgh, United Kingdom(爱丁堡大学工程学院)

专题命中 病理影像 :pathology(abstract)

AI总结 CSEval通过语言模型评估文本到图像生成中临床语义的一致性,弥补现有方法在临床相关性评估上的不足。

详情

展开后加载摘要…

URL PDF HTML 收藏