医学 AI - arXivDaily 专题

2302.09244 2023-02-21 eess.IV cs.CV cs.LG 83%

Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction

Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin Sheth, Chi Liu, James S. Duncan, Michal Sofka

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

Comments 14 pages, 10 figures, published at Medical Image Analysis (MedIA)

2202.12295 2022-12-14 eess.IV cs.CV cs.LG 83%

Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation

Pooya Ashtari, Diana M. Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel

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

Comments 31 pages, 8 figures, 4 tables

Journal ref Medical Image Analysis 84 (2023) 102706

2202.10553 2022-12-09 cs.LG cs.AI cs.CV eess.IV 83%

Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis

Weina Jin, Xiaoxiao Li, Mostafa Fatehi, Ghassan Hamarneh

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

Comments Code: http://github.com/weinajin/multimodal_explanation, Supplementary Material S1 and S2: https://github.com/weinajin/multimodal_explanation/tree/main/paper

Journal ref Medical Image Analysis, 2022

2211.13238 2022-11-28 eess.IV cs.LG eess.SP 83%

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans

Audrey Duran, Gaspard Dussert, Olivier Rouvière, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien

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

Journal ref Medical Image Analysis, Elsevier, 2022, 77, pp.102347

2206.10455 2022-09-23 eess.IV cs.CV cs.LG 83%

Automated Coronary Calcium Scoring using U-Net Models through Semi-supervised Learning on Non-Gated CT Scans

Sanskriti Singh

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

Comments There is no correlation between gated and non-gated CT scans causing the points used in the training and results to be flawed. It was inaccurately assumed that there was a correlation between the scans

2209.07910 2022-09-19 cs.CV cs.AI cs.LG eess.IV 83%

Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation

Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo

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

Comments Published in Medical Image Analysis (extension of MICCAI paper)

2203.02202 2022-09-16 eess.IV cs.CV cs.LG 83%

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam

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

Comments Accepted to be presented as an Oral Presentation at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. 13 pages. 5 figures

2209.06077 2022-09-14 eess.IV cs.CV cs.LG 83%

DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin Brink, Matthew Hale, Ruogu Fang

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

Comments 10 pages, 6 figures, 3 tables. Accepted by International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022 Oral Talk

2110.05243 2022-07-19 eess.IV cs.AI cs.CV cs.LG 83%

Score-based diffusion models for accelerated MRI

Hyungjin Chung, Jong Chul Ye

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

Comments Code available at: https://github.com/HJ-harry/score-MRI

2206.00831 2022-06-03 eess.IV cs.CV cs.LG 83%

Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations

Yinghao Zhang, Yue Hu

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

Comments 4 pages, 3 figures, 1 table, accepted in IEEE ISBI 2022

Journal ref [C]//2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022: 1-4

2203.12454 2022-03-24 eess.IV cs.CV cs.LG 83%

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan

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

Comments Accept by MICCAI 2021, code at: https://github.com/jacobzhaoziyuan/MT-UDA

Journal ref Medical Image Computing and Computer Assisted Intervention, MICCAI 2021. Lecture Notes in Computer Science, vol 12901. Springer, Cham

2110.03343 2021-10-08 eess.IV cs.CV cs.LG 83%

Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement

Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate

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

Comments Accepted at IEEE ICCV-2021 workshop on Computer Vision for Automated Medical Diagnosis

2103.14955 2021-07-23 eess.IV cs.CV cs.LG 83%

Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data

Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsurd, Svein Reidar Kjosavik, Ketil Oppedal

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

Comments 5 pages. Accepted as a full paper at the International Symposium on Biomedical Imaging (ISBI) 2021

2107.00283 2021-07-02 eess.IV cs.CV cs.LG 83%

DivergentNets: Medical Image Segmentation by Network Ensemble

Vajira Thambawita, Steven A. Hicks, Pål Halvorsen, Michael A. Riegler

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

Comments the winning model of the segmentation generalization challenge at EndoCV 2021

Journal ref Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) colocated with with the 17th IEEE International Symposium on Biomedical Imaging (ISBI 2021)

2103.12595 2021-03-24 eess.IV cs.CV cs.LG 83%

An augmentation strategy to mimic multi-scanner variability in MRI

Maria Ines Meyer, Ezequiel de la Rosa, Nuno Barros, Roberto Paolella, Koen Van Leemput, Diana M. Sima

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

Comments 5 pages, 2 figures. accepted for presentation at the International Symposium on Biomedical Imaging (ISBI) 2021. Code available at https://github.com/icometrix/gmm-augmentation

2103.02844 2021-03-05 eess.IV cs.CV cs.LG 83%

Learning With Context Feedback Loop for Robust Medical Image Segmentation

Kibrom Berihu Girum, Gilles Créhange, Alain Lalande

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

Comments 13 pages, accepted for publication in IEEE Transactions on Medical Imaging (TMI); Applied to Heart (Cardiac cine-MRI and Echocardiography), Prostate, and Inner ear image segmentation

1908.06337 2021-01-20 eess.IV cs.CV cs.LG stat.ML 83%

EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation

Bilwaj Gaonkar, Joel Beckett, Mark Attiah, Christine Ahn, Matthew Edwards, Bayard Wilson, Azim Laiwalla, Banafsheh Salehi, Bryan Yoo, Alex Bui, Luke Macyszyn

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

Journal ref Medical Image Analysis, Volume 67, 2021, Medical Image Analysis, Volume 67,2021,101834,ISSN 1361-8415,

2009.06082 2020-09-15 cs.AI 83%

Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA

Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana Mukherjee, Tanveer Syeda-Mahmood

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

Journal ref Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 178-186. 2020

2007.04768 2020-07-10 eess.IV cs.CV cs.LG 83%

Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization

Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier

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

Comments 4 pages, 5 figures, 1 table. Accepted at CT Meeting 2020

1908.10454 2020-02-13 eess.IV cs.CV cs.LG 83%

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation

Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey Chiang, Zhihao Wu, Xiaowei Ding

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

Comments Accepted for publication in the journal of Medical Image Analysis

1909.08868 2019-09-20 eess.IV cs.CV cs.LG 83%

Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories

Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell Taylor, Andreas Maier, Nassir Navab, Mathias Unberath

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

Comments Accepted for oral presentation at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019

1909.00548 2019-09-04 eess.IV cs.CV cs.LG 83%

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation

Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung

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

Comments MICCAI(International Conference on Medical Image Computing and Computer Assisted Intervention) 2019 accepted

0707.3455 2009-12-01 physics.med-ph 83%

Posture-Dependent Human 3He Lung Imaging in an Open Access MRI System: Initial Results

L. L. Tsai, R. W. Mair, C. -H. Li, M. S. Rosen, S. Patz, R. L. Walsworth

专题命中医学影像：MRI(title,abstract)；CT(abstract)；radiology(comments)

Comments single pdf file in manuscript format, 35 pages, 5 figures Submitted to Academic Radiology

0706.3286 2009-12-01 physics.med-ph 83%

Intensity-Based Registration of Freehand 3D Ultrasound and CT-scan Images of the Kidney

Antoine Leroy, Pierre Mozer, Yohan Payan, Jocelyne Troccaz

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

Journal ref International Journal of Computer Assisted Radiology and Surgery 2, 1 (2007) 31-41

2505.21736 2026-08-03 cs.CV cs.LG 版本更新 82%

Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks

矩核：深度卷积网络中应对旋转与反射等变的简单可扩展方法

Siqi Fang, Zachary Schlamowitz, Andrew Bennecke, Daniel J. Tward

机构 * Department of Computational Medicine University of California, Los Angeles（计算医学系加州大学洛杉矶分校）

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

AI总结本文提出矩核，一种简单可扩展的正交变换等变卷积核，在生物医学图像任务中提升方向一致性，避免群卷积的方向通道扩展，适配标准CNN工作流程。

2607.23343 2026-07-28 eess.IV cs.AI cs.CV 新提交 82%

Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration

用于高效患者特异性术中二维/三维配准的患者无关合成预训练

Minheng Chen, Youyong Kong

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

AI总结研究术中二维/三维配准问题，提出基于患者无关合成预训练和球面相似性学习的框架，先预训练模型学习可转移表示，再用目标CT投影适应新患者，引入无分割域随机化策略，实验证明该方法能降低训练需求并保持配准精度。

2607.16888 2026-07-21 cs.CV cs.LG 新提交 82%

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities

用于引入未见医学成像模态的可转移低秩卷积基

Ranat Das Prangon, Istiaque Ahmed, Shajid Hasan Naim, Waseem Mustak Zisan, Hossain Md Shakhawat

机构 * Bangladesh University of Engineering and Technology (BUET)（孟加拉国工程技术大学）； Osaka Metropolitan University（大阪都市大学）； Chittagong University of Engineering and Technology (CUET)（吉大港工程技术大学）； Kochi University of Technology（高知工科大学）

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

AI总结研究医学成像模型引入未见模态的问题，提出冻结源模态低秩卷积基并训练其向上投影的方法，该方法可转移，能以极少参数引入未见模态，保持源模态准确率不变，还能检测何时需引入。

2607.13826 2026-07-16 cs.CV cs.AI cs.IR cs.LG 新提交 82%

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning

使用深度学习对胰腺癌可切除性进行多模态评估

Vincent Ochs, Christoph Kuemmerli, Florentin Bieder, Julia Wolleb, Joel L. Lavanchy, Julia Ruppel, Jan Liechti, Stephanie Taha-Mehlitz, Christian Andreas Nebiker, Beat Mueller, Giuseppe Kito Fusai, Joerg-Matthias Pollok, Anas Taha, Philippe C. Cattin, Sebastian Staubli

机构 * University of Basel（巴塞尔大学）； Clarunis, University Digestive Health Centre（克拉鲁尼斯大学消化健康中心）； Kantonsspital Aarau（阿劳州立医院）； Royal Free Hospital（皇家自由医院）

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

AI总结研究利用深度学习框架联合分析CT与临床信息，对胰腺癌可切除性分类。通过Swin-UNETR主干获取图像特征，融合临床嵌入，经动态多任务目标训练，能将患者分入NCCN的三种可切除性类别，提高评估准确性。

2607.12586 2026-07-15 eess.IV cs.CV 新提交 82%

Medical Image Segmentation based on Deep Active Contour and Mean Curvature Loss Function

基于深度活动轮廓和平均曲率损失函数的医学图像分割

Xiao-qiang Zhai, Zhi-feng Pang, Peng Zheng, Ze-wen Li, Yan-zhe Hou

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

AI总结针对医学图像分割中像素级训练缺乏几何先验信息及分割区域表征不足的问题，提出深度活动轮廓和平均曲率（DACMC）损失函数，用卷积核近似平均曲率，在多数据集上验证性能，展现新最优表现。

Comments 15 pages, 4 figures. Keywords: medical image segmentation, curvature regularization, loss function, active contour model, mean curvature, deep learning. Under review at Biomedical Signal Processing and Control

2607.11533 2026-07-14 cs.CV cs.LG 新提交 82%

Adaptive Routing for Efficient Diffusion Transformer-Based PNI Prediction

基于高效扩散变压器的PNI预测的自适应路由

Youngung Han, Dohyun Kweon, Kyeonghun Kim, Hyunsu Go, Jina Jeong, Suah Park, Induk Um, Junga Kim, Anna Jung, Yului Jeong, Sungha Park, Jinyong Jun, Pa Hong, Woo Kyoung Jeong, Won Jae Lee, Ken Ying-Kai Liao, Hyuk-Jae Lee, Nam-Joon Kim

机构 * Seoul National University（首尔国立大学）； Kyung Hee University（庆熙大学）； OUTTA ； Chung-Ang University（Chung-Ang 大学）； Seoul National University School of Medicine（首尔国立大学医学院）； Samsung Changwon Hospital（三星昌原医院）； Samsung Medical Center（三星医疗中心）； NVIDIA AI Technology Center（NVIDIA AI 技术中心）

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

AI总结针对胆管癌PNI术前MRI预测难题，传统方法有局限。本文将PNI预测设为扩散分类问题，用基于Transformer的表示实现去噪网络，并引入自适应路由提高效率，实验取得了0.731的AUC及257.57 GFLOPs的结果。

1. 医学影像 22645 篇

Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction

Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation

Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans

Automated Coronary Calcium Scoring using U-Net Models through Semi-supervised Learning on Non-Gated CT Scans

Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Score-based diffusion models for accelerated MRI

Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement

Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data

DivergentNets: Medical Image Segmentation by Network Ensemble

An augmentation strategy to mimic multi-scanner variability in MRI

Learning With Context Feedback Loop for Robust Medical Image Segmentation

EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation

Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA

Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation

Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation

Posture-Dependent Human 3He Lung Imaging in an Open Access MRI System: Initial Results

Intensity-Based Registration of Freehand 3D Ultrasound and CT-scan Images of the Kidney

Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks

Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning

Medical Image Segmentation based on Deep Active Contour and Mean Curvature Loss Function

Adaptive Routing for Efficient Diffusion Transformer-Based PNI Prediction