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。

共收录 22719 信号源:cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 医学影像 22719 篇

1809.06247 2018-11-22 cs.CV cs.LG stat.ML 84%

Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning

Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Mai H. Nguyen, Ilkay Altintas

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

Comments 42 pages

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1810.05989 2018-10-16 cs.CV cs.AI eess.IV 84%

Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training

Ophir Gozes, Hayit Greenspan

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

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1807.07663 2018-07-23 stat.ML cs.CV cs.LG 84%

Automatically Designing CNN Architectures for Medical Image Segmentation

Aliasghar Mortazi, Ulas Bagci

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

Comments Accepted to Machine Learning in Medical Imaging (MLMI 2018)

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1803.05848 2018-03-16 cs.CV cs.LG 84%

Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network

Zhiyang Liu, Chen Cao, Shuxue Ding, Tong Han, Hong Wu, Sheng Liu

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

Comments submitted to Neuroimage: Clinical

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1711.06853 2017-11-21 cs.CV cs.LG 84%

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl

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

Comments Submitted to Medical Imaging Meets NIPS 2017, Code at https://github.com/DLTK/DLTK

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1710.06304 2017-10-19 cs.CV eess.IV physics.med-ph 84%

Towards CT-quality Ultrasound Imaging using Deep Learning

Sanketh Vedula, Ortal Senouf, Alex M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky

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

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1706.00712 2017-06-05 cs.CV cs.LG 84%

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang

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

Journal ref IEEE Transactions on Medical Imaging. 35(5):1299-1312 (2016)

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1408.0204 2016-02-17 stat.ML cs.AI cs.CV cs.LG 84%

Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis

Nan Lin, Junhai Jiang, Shicheng Guo, Momiao Xiong

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

Comments 35 pages, 2 figures, 6 tables

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1511.06348 2016-01-11 cs.LG cs.CV cs.NE 84%

How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Junghwan Cho, Kyewook Lee, Ellie Shin, Garry Choy, Synho Do

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

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1505.02000 2015-05-11 cs.LG cs.AI cs.CV 84%

Deep Learning for Medical Image Segmentation

Matthew Lai

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

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1505.00670 2015-05-05 cs.CV cs.LG 84%

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation

Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

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

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2501.09403 2026-08-19 eess.IV cs.CV cs.LG eess.SP physics.med-ph 84%

PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI

Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalan, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel

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

Journal ref Medical Image Analysis March 2026

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2606.10756 2026-06-10 cs.CV physics.med-ph 新提交 84%

DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction

DD-INR: 用于加速全脑功能磁共振成像重建的动力学驱动隐式神经表示

Qiaoxin Li, Caini Pan, Pierre-Antoine Comby, Chaithya Giliyar, Philippe Ciuciu

机构 * MIND, Inria, Palaiseau, France(MIND、Inria、法国帕莱赛欧) Neurospin, CEA Paris Saclay, France(Neurospin、CEA巴黎萨克雷、法国) CEA NeuroSpin, Paris-Saclay University, CNRS BAOBAB, Gif-sur-Yvette, France(CEA NeuroSpin、巴黎萨克雷大学、CNRS BAOBAB、法国吉夫-sur-伊夫特)

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

AI总结 提出DD-INR框架,通过将fMRI数据分解为静态背景和动态成分并用隐式神经表示建模动态,实现加速fMRI重建,提升图像质量和激活模式恢复。

Journal ref MICCAI 2026 - 29th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2026, Strasbourg, France

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2604.27559 2026-05-01 cs.CV cs.AI 84%

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

RIHA:报告-图像层次对齐用于放射学报告生成

Yucheng Chen, Yang Yu, Yufei Shi, Conghao Xiong, Xulei Yang, Si Yong Yeo

机构 * Lee Kong Chian School of Medicine, Nanyang Technological University(南洋理工大学李科钦医学院) MedVisAI Lab(医学影像人工智能实验室) Centre of AI in Medicine, Singapore(新加坡人工智能医学中心) Chinese University of Hong Kong, Hong Kong SAR, China(香港中文大学(深圳)) Department of Computer Science and Engineering(计算机科学与工程系)

专题命中 医学影像 :radiology(title,abstract);medical image(abstract);分类 cs.CV;biomedical(comments)

AI总结 本文提出RIHA框架,通过多级对齐提升放射学报告生成的准确性,引入视觉和文本特征金字塔及跨模态对齐模块,实验表明其在自然语言生成和临床效果上优于现有方法。

Comments Accepted by Journal of Biomedical and Health Informatics (JBHI)

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2511.08046 2025-11-12 cs.CV cs.AI 84%

ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation

Aya Elgebaly, Nikolaos Delopoulos, Juliane Hörner-Rieber, Carolin Rippke, Sebastian Klüter, Luca Boldrini, Lorenzo Placidi, Riccardo Dal Bello, Nicolaus Andratschke, Michael Baumgartl, Claus Belka, Christopher Kurz, Guillaume Landry, Shadi Albarqouni

机构 * University Hospital Bonn(波恩大学医院) LMU University Hospital(慕尼黑莱茵河医学院医院) University Hospital Düsseldorf(杜伊斯堡大学医院) Heidelberg University Hospital(海德堡大学医院) Università Cattolica del Sacro Cuore(罗马天主教圣心大学) University Hospital Zurich(苏黎世大学医院) Bavarian Cancer Research Center (BZKF)(巴伐利亚癌症研究中心) DTU Compute(技术大学计算学院) Helmholtz AI(海德堡中心人工智能)

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

Comments 5 pages, 5 figures. Submitted to IEEE International Symposium on Biomedical Imaging (ISBI) 2026

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2507.16715 2025-10-03 eess.IV 84%

A Tutorial on MRI Reconstruction: From Modern Methods to Clinical Implications

Tolga Çukur, Salman U. H. Dar, Valiyeh Ansarian Nezhad, Yohan Jun, Tae Hyung Kim, Shohei Fujita, Berkin Bilgic

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

Comments Accepted for publication in IEEE Transactions on Biomedical Engineering. The final published version is available at https://doi.org/10.1109/TBME.2025.3617575

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2506.15596 2025-07-01 cs.CV 84%

Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Kyobin Choo, Hyunkyung Han, Jinyeong Kim, Chanyong Yoon, Seong Jae Hwang

机构 * Department of Computer Science, Yonsei University(延世大学计算机科学系) Department of Artificial Intelligence, Yonsei University(延世大学人工智能系) Yonsei University College of Medicine(延世大学医学院)

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

Comments 11 pages, 3 figures, 2 tables, Accepted at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025

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2411.18309 2025-06-27 cs.CV cs.AI 84%

MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement

Xiwei Deng, Xianchun He, Jianfeng Bao, Yudan Zhou, Shuhui Cai, Congbo Cai, Zhong Chen

机构 * Institute of Artificial Intelligence, Xiamen University(厦门大学人工智能研究院) Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University(郑州大学第一附属医院磁共振成像科) Department of Electronic Science, Xiamen University(厦门大学电子科学系)

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

Comments Accepted for publication in IEEE Journal of Biomedical and Health Informatics

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2502.17727 2025-02-26 cs.CV 84%

Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?

Sushmita Sarker, Prithul Sarker, George Bebis, Alireza Tavakkoli

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

Comments Accepted at the International Symposium on Biomedical Imaging (ISBI) 2025

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2303.07034 2024-11-18 cs.CV 84%

Pretrained ViTs Yield Versatile Representations For Medical Images

Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith

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

Comments Extended version of arXiv:2108.09038 originally published at the ICCV 2021 Workshop on Computer Vision for Automated Medical Diagnosis

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2209.11359 2024-06-27 cs.CV 84%

CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Chen Liu, Matthew Amodio, Liangbo L. Shen, Feng Gao, Arman Avesta, Sanjay Aneja, Jay C. Wang, Lucian V. Del Priore, Smita Krishnaswamy

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

Comments Accepted to the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)

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2401.06473 2024-05-28 cs.CV 84%

Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation

Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich

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

Comments Accepted for International Symposium on Biomedical Imaging 2024 (ISBI 2024)

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2404.00578 2024-04-02 cs.CV 84%

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Fan Bai, Yuxin Du, Tiejun Huang, Max Q. -H. Meng, Bo Zhao

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

Comments MLLM, 3D medical image analysis

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2403.03882 2024-03-07 cs.CV 84%

Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation

Jianfei Liu, Christopher Parnell, Ronald M. Summers

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

Comments 7 Pages, 3 figures, SPIE Medical Imaging 2024, Computer-aided diagnosis

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2304.03209 2023-07-19 cs.CV cs.AI cs.LG eess.IV eess.SP 84%

Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts

Chenyu You, Weicheng Dai, Yifei Min, Lawrence Staib, James S. Duncan

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

Comments Accepted at International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023)

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2011.00149 2020-11-03 cs.CV 84%

Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features

Anindo Saha, Fakrul I. Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

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

Comments Accepted to 2020 SPIE Medical Imaging: Computer-Aided Diagnosis [oral presentation]

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1812.02496 2019-10-21 cs.CV physics.med-ph 84%

Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens

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

Comments Accepted for publication in Medical Image Analysis

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1906.09745 2019-06-25 eess.IV cs.AI 84%

Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training

Wenhao Jiang, Zhiyu Liu, Kit-Hang Lee, Shihui Chen, Yui-Lun Ng, Qi Dou, Hing-Chiu Chang, Ka-Wai Kwok

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

Comments 8 pages, 4 figures, submitted to the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention

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1808.08114 2019-01-23 cs.CV 84%

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert

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

Comments Accepted for Medical Image Analysis (Special Issue on Medical Imaging with Deep Learning). arXiv admin note: substantial text overlap with arXiv:1804.03999, arXiv:1804.05338

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1809.09468 2018-11-01 cs.CV cs.AI 84%

Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

Sergio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva

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

Comments Accepted and presented at iMIMIC - Workshop on Interpretability of Machine Intelligence in Medical Image Computing

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