医学 AI - arXivDaily 专题

2007.01441 2023-06-29 cs.CV cs.LG eess.IV 83%

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland

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

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://www.melba-journal.org/papers/2022:018.html

2304.14053 2023-04-28 eess.IV cs.CV cs.LG 83%

Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI

Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai

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

Comments ISBI2023, Few-shot, Intra-muscular fat, Thigh muscle segmentation, Pseudo-label denoising, MRI

2302.11184 2023-03-06 eess.IV cs.CV cs.LG 83%

A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning

Jin Zhu, Guang Yang, Pietro Lio

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

Comments Preprint submitted to Medical Image Analysis and under review

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

2608.25127 2026-08-27 eess.IV cs.CV math.OC 新提交 82%

Learning spatially varying regularisation parameters of low regularity for image reconstruction

用于图像重建的低正则性空间变正则化参数学习

Kostas Papafitsoros, Luca Calatroni, Andreas Kofler

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

AI总结该研究探讨变分图像重建中空间自适应正则化权重的低正则性性质，结合深度神经网络学习此类权重，经图像去噪与MRI重建验证可提升重建效果，并指出未来研究方向。

2608.23882 2026-08-26 eess.IV cs.CV 新提交 82%

Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation

用于多中心T1加权卒中分割的原生空间3D CarveMix方法

Dexter Wen Jie Teo, Kumaradevan Punithakumar

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

AI总结针对多中心未标准化T1w MRI的卒中分割难题，提出结合MedNeXt-L骨干与动态3D CarveMix增强的方法，在ISLES 2026数据集上实现0.648的5折交叉验证Dice分数，较原骨干提升0.018。

Comments Accepted at the SWITCH+ Workshop (ISLES 2026 Challenge), MICCAI 2026. Springer LNCS

2608.23745 2026-08-26 eess.IV cs.CV 新提交 82%

Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation

用于通用脑肿瘤分割的多阶段提示引导特征调制

Mohammad Mahdi Danesh Pajouh, Sara Saeedi

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

AI总结本文提出多阶段动态提示nnU-Net，通过多阶段动态提示调制编码器特征，在BraTS GOAT数据集上较基线nnU-Net提升了脑肿瘤分割的Dice分数，增强了模型泛化性。

Comments Accepted to BraTS MICCAI 2026 Task 3 (Generalizability Across Tumors)

1. 医学影像 22709 篇

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI

A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning

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

Learning spatially varying regularisation parameters of low regularity for image reconstruction

Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation

Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation