医学 AI - arXivDaily 专题

2205.04227 2022-05-10 eess.IV cs.CV 82%

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin

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

Comments 12 pages, 7 figures

2202.04823 2022-02-11 q-bio.QM cs.CV cs.LG eess.IV 82%

Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating

Ikbeom Jang, Garrison Danley, Ken Chang, Jayashree Kalpathy-Cramer

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

Comments 5 pages, 2 figures, NeurIPS Data-Centric AI Workshop 2021

2111.03848 2021-11-09 eess.IV cs.AI cs.CV 82%

Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartłomiej W. Papież

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

Comments 13 pages, 3 figures, 2 tables. To appear in Head and Neck Tumor Segmentation in PET/CT: The HECKTOR Challenge,Valentin Oreiller et al., Medical Image Analysis,2021, HECKTOR 2021, Lecture Notes in Computer Science, Springer

2109.02785 2021-09-08 q-bio.QM cs.CV cs.LG eess.IV 82%

Analysis of MRI Biomarkers for Brain Cancer Survival Prediction

Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall

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

2004.02317 2021-06-10 eess.IV cs.CV 82%

Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI

Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin

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

Journal ref Workshop on RV Segmentation Challenge in Cardiac MRI in conjunction with Medical Image Computing and Computer-Assisted Intervention 2012

2105.06141 2021-05-14 q-bio.QM cs.CV cs.LG eess.IV physics.med-ph 82%

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data

Matteo Chieregato, Fabio Frangiamore, Mauro Morassi, Claudia Baresi, Stefania Nici, Chiara Bassetti, Claudio Bnà, Marco Galelli

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

Comments 16 pages, 10 figures, 2 supplementary tables

2009.12280 2021-03-26 cs.CV cs.LG stat.ML 82%

Locally orderless tensor networks for classifying two- and three-dimensional medical images

Raghavendra Selvan, Silas Ørting, Erik B Dam

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

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) (see https://melba-journal.org). Source code at https://github.com/raghavian/LoTeNet_pytorch/

Journal ref Journal of Machine Learning for Biomedical Imaging. 2021:5. pp 1-21. Special Issue: Medical Imaging with Deep Learning (MIDL) 2020

2101.11254 2021-01-28 eess.IV cs.CV 82%

Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang

专题命中医学影像：medical image(abstract)；MRI(abstract)；CT(abstract)；pathology(abstract)

2012.04336 2020-12-09 eess.IV cs.CV 82%

Interpretable deep learning regression for breast density estimation on MRI

Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs

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

Comments This paper has been published as: Van der Velden, B.H.M., Ragusi, M.A.A., Janse, M.H.A., Loo, C.E., Gilhuijs, K.G.A. "Interpretable deep learning regression for breast density estimation on MRI." Medical Imaging 2020: Computer-Aided Diagnosis. Vol. 11314. International Society for Optics and Photonics, 2020

2007.01236 2020-12-08 q-bio.QM 82%

Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRI

Klaudius Scheufele, Shashank Subramanian, George Biros

专题命中医学影像：MRI(title,abstract)；diagnosis(abstract)；分类 q-bio

Comments 22 pages, 11 figures

2011.05410 2020-11-12 eess.IV cs.CV cs.LG q-bio.QM 82%

Glioma Classification Using Multimodal Radiology and Histology Data

Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan

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

2009.13583 2020-09-30 eess.IV cs.CV 82%

Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net

Chuanbo Wang, Ye Guo, Wei Chen, Zeyun Yu

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

2007.00126 2020-07-02 q-bio.NC 82%

Functional MRI applications for psychiatric disease subtyping: a review

Lucas Miranda, Riya Paul, Benno Pütz, Bertram Müller-Myhsok

专题命中医学影像：MRI(title,abstract)；diagnosis(abstract)；分类 q-bio

Comments 16 pages, 2 figures, 3 tables

2006.12852 2020-06-24 eess.IV cs.CV cs.LG q-bio.NC 82%

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI

Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab

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

2006.02140 2020-06-04 q-bio.PE nlin.AO physics.soc-ph stat.AP 82%

Combining PCR and CT testing for COVID

Chen Shen, Ron Mark, Nolan J. Kagetsu, Anton S. Becker, Yaneer Bar-Yam

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 q-bio

Comments 6 pages, 14 figures

2001.08570 2020-01-24 q-bio.QM cs.CV cs.LG eess.IV stat.AP stat.ML 82%

Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study

Nathaniel Braman, Mohammed El Adoui, Manasa Vulchi, Paulette Turk, Maryam Etesami, Pingfu Fu, Kaustav Bera, Stylianos Drisis, Vinay Varadan, Donna Plecha, Mohammed Benjelloun, Jame Abraham, Anant Madabhushi

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

Comments Braman and El Adoui contributed equally to this work. 33 pages, 3 figures in main text

1910.10542 2019-10-24 eess.IV cs.CV 82%

Deep generative model-driven multimodal prostate segmentation in radiotherapy

Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Paul Michael Walker, Alain Lalande

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

Comments 8 pages, camera ready paper, accepted for Artificial Intelligence in Radiation Therapy (AIRT), in conjunction with MICCAI 2019

1709.06563 2018-05-21 q-bio.NC 82%

The Impact of Speed and Bias on the Cognitive Processes of Experts and Novices in Medical Image Decision-making

Jennifer S. Trueblood, William R. Holmes, Adam C. Seegmiller, Jonathan Douds, Margaret Compton, Megan Woodruff, Wenrui Huang, Charles Stratton, Quentin Eichbaum

专题命中医学影像：medical image(title,abstract)；pathology(abstract)；分类 q-bio

1704.01350 2017-08-21 q-bio.NC 82%

Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers

Takashi Yamada, Ryu-ichiro Hashimoto, Noriaki Yahata, Naho Ichikawa, Yujiro Yoshihara, Yasumasa Okamoto, Nobumasa Kato, Hidehiko Takahashi, Mitsuo Kawato

专题命中医学影像：MRI(title,abstract)；diagnosis(abstract)；分类 q-bio

Comments 46 pages, 5 figures

1604.07287 2016-11-10 physics.med-ph q-bio.NC 82%

Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison

Uran Ferizi, Benoit Scherrer, Torben Schneider, Mohammad Alipoor, Odin Eufracio, Rutger H. J. Fick, Rachid Deriche, Markus Nilsson, Ana K. Loya-Olivas, Mariano Rivera, Dirk H. J. Poot, Alonso Ramirez-Manzanares, Jose L. Marroquin, Ariel Rokem, Christian Pötter, Robert F. Dougherty, Ken Sakaie, Claudia Wheeler-Kingshott, Simon K. Warfield, Thomas Witzel, Lawrence L. Wald, José G. Raya, Daniel C. Alexander

专题命中医学影像：MRI(title,abstract)；biomedical(abstract)；分类 q-bio

2507.23027 2026-06-19 cs.CV cs.AI 82%

Recovering Diagnostic Value: Super-Resolution-Aided Echocardiographic Classification in Resource-Constrained Imaging

恢复诊断价值：超分辨率辅助的资源受限成像中的心电图分类

Krishan Agyakari Raja Babu, Om Prabhu, Annu, Mohanasankar Sivaprakasam

机构 * Indian Institute of Technology Madras（印度理工学院马德拉斯分校）； All India Institute of Medical Sciences（全印度医学科学研究所）； Indian Institute of Technology Hyderabad（印度理工学院海得拉巴分校）

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

AI总结本文研究了基于深度学习的超分辨率技术在低质量2D超声心动图分类中的应用，通过CAMUS数据集验证了SRGAN和SRResNet在提升分类准确率和计算效率方面的有效性。

Comments Accepted at the MICCAI Workshop on "Medical Image Computing in Resource Constrained Settings & Knowledge Interchange (MIRASOL)" 2025

2303.01491 2023-03-03 eess.IV cs.LG q-bio.QM 82%

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models

Umang Gupta, Tamoghna Chattopadhyay, Nikhil Dhinagar, Paul M. Thompson, Greg Ver Steeg, The Alzheimer's Disease Neuroimaging Initiative

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

Comments To appear at IEEE International Symposium on Biomedical Imaging 2023 (ISBI 2023). Code is available at https://github.com/umgupta/2d-slice-set-networks

2110.04140 2021-10-11 cs.CV eess.IV physics.med-ph q-bio.NC 82%

Rapid head-pose detection for automated slice prescription of fetal-brain MRI

Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter, Elfar Adalsteinsson, P. Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe

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

Comments 19 pages, 10 figures, 2 tables, fetal MRI, head-pose detection, MSER, scan automation, scan prescription, slice positioning, final published version

Journal ref Int J Imaging Syst Technol, 31 (3), 2021, 1136-1154

1903.09467 2020-04-21 cs.CV 82%

Disentangled Representation Learning in Cardiac Image Analysis

Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle Williams, David Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

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

Journal ref Medical Image Analysis 58 (2019) 101535

2001.05551 2020-01-17 q-bio.QM cs.CV eess.IV 82%

Substituting Gadolinium in Brain MRI Using DeepContrast

Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo

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

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

2608.24237 2026-08-26 cs.AI 新提交 82%

STRIVE: Multi-Agent Structured Temporal Reasoning with Integrated Verification for Longitudinal Radiology Report Generation

STRIVE：面向纵向放射报告生成的集成验证多智能体结构化时序推理

Junyeong Maeng, Eunsong Kang, Heung-Il Suk

机构 * Korea University（高丽大学）； Kangwon National University（江原国立大学）

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

AI总结 STRIVE将临床推理分解为多智能体并引入两阶段验证，在Longitudinal-MIMIC数据集上实现纵向放射报告生成的最佳临床效能，纵向变化一致性较最强基准提升超一倍。

2608.06037 2026-08-07 cs.AI cs.CV cs.LG eess.IV 新提交 82%

Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis

通过基于图的多实例学习整合隐式与显式关系偏差：皮肤病变诊断的案例研究

Rafał Buler, Jakub Buler, Maciej Bobowicz, Michał Grochowski

机构 * Gdańsk University of Technology（格但斯克工业大学）； Medical University of Gdańsk（格但斯克医科大学）

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

AI总结本研究提出双层级关系框架，结合隐式图像块关系建模与显式图结构消息传递，在ISIC-2018、ISIC-2019皮肤病变诊断基准上提升了平衡准确率，其中集成网格结构的图注意力网络表现最优。

Comments Accepted as a short paper for presentation at the 21st International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2026)

2607.21059 2026-07-24 astro-ph.SR 新提交 82%

Transport of angular momentum and chemical elements by the MRI dynamo in stellar radiative zones

恒星辐射区中磁旋转发电机对角动量和化学元素的输运

Laurène Jouve, François Lignières, Jérôme Guilet, Alexis Vanbesien

专题命中医学影像：MRI(title,abstract)

AI总结研究红巨星深层磁场对角动量和化学元素的输运，通过零净通量剪切盒模拟建立输运效率与分层、旋转等参数的标度律，发现旋转和分层影响角动量及化学成分输运，该研究对协调恒星演化模型和星震反演有前景。

Comments 18 pages, 16 figures, accepted for publication in A&A

2607.10019 2026-07-14 physics.med-ph cs.SY eess.SY physics.ins-det physics.optics 新提交 82%

Optically-powered Low Power Low Noise Amplifiers for MRI

用于磁共振成像的光驱动低功耗低噪声放大器

Reza Aghabagheri, Jakob Gerlach, Zining Liu, Morteza Teymoori, Caglar Ataman, Michael Bock, Ali Caglar Oezen

专题命中医学影像：MRI(title,abstract)

AI总结研究旨在开发光驱动的低功耗低噪声放大器（LPLNA）用于磁共振成像，采用两级级联放大器设计并在单面PCB实现，相比商用LNA功耗低五倍，在多方面性能相当，证明其用于光驱动射频接收线圈阵列的可行性及应用潜力。

2607.07749 2026-07-10 eess.IV q-bio.QM 新提交 82%

Projected Energy Matching for Generative 3D Priors

用于生成式 3D 先验的投影能量匹配

Daniel Barco, Michal Balcerak, Suprosanna Shit, Chinmay Prabhakar, Philipp Denzel, Bjoern Menze, Frank-Peter Schilling

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

AI总结研究针对能量匹配在高维 3D 数据训练的挑战，提出投影能量匹配框架，引入亥姆霍兹提炼和负缓存策略，用于医学 CT 逆问题如稀疏视图重建，减少计算量并实现高保真重建。

1. 医学影像 22694 篇

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating

Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

Analysis of MRI Biomarkers for Brain Cancer Survival Prediction

Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data

Locally orderless tensor networks for classifying two- and three-dimensional medical images

Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

Interpretable deep learning regression for breast density estimation on MRI

Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRI

Glioma Classification Using Multimodal Radiology and Histology Data

Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net

Functional MRI applications for psychiatric disease subtyping: a review

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI

Combining PCR and CT testing for COVID

Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study

Deep generative model-driven multimodal prostate segmentation in radiotherapy

The Impact of Speed and Bias on the Cognitive Processes of Experts and Novices in Medical Image Decision-making

Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers

Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison

Recovering Diagnostic Value: Super-Resolution-Aided Echocardiographic Classification in Resource-Constrained Imaging

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models

Rapid head-pose detection for automated slice prescription of fetal-brain MRI

Disentangled Representation Learning in Cardiac Image Analysis

Substituting Gadolinium in Brain MRI Using DeepContrast

STRIVE: Multi-Agent Structured Temporal Reasoning with Integrated Verification for Longitudinal Radiology Report Generation

Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis

Transport of angular momentum and chemical elements by the MRI dynamo in stellar radiative zones

Optically-powered Low Power Low Noise Amplifiers for MRI

Projected Energy Matching for Generative 3D Priors