医学 AI - arXivDaily 专题

2402.11274 2024-02-20 eess.IV cs.CV cs.LG 82%

TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method

Chenyan Zhang, Yifei Chen, Zhenxiong Fan, Yiyu Huang, Wenchao Weng, Ruiquan Ge, Dong Zeng, Changmiao Wang

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

Comments 5 pages, 2 figures, accept ISBI2024

Journal ref ISBI 2024

2310.15767 2024-02-19 eess.IV cs.CV cs.LG 82%

Unpaired MRI Super Resolution with Contrastive Learning

Hao Li, Quanwei Liu, Jianan Liu, Xiling Liu, Yanni Dong, Tao Huang, Zhihan Lv

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

2402.08692 2024-02-15 eess.IV cs.CV cs.LG 82%

Inference Stage Denoising for Undersampled MRI Reconstruction

Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris

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

Comments This paper is accepted by ISBI 2024

2309.13385 2024-02-13 eess.IV cs.CV cs.LG 82%

Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement

Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris

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

Comments MICCAI STACOM workshop 2023

2301.02069 2024-02-08 eess.IV cs.CV cs.LG 82%

Deep Learning for Breast MRI Style Transfer with Limited Training Data

Shixing Cao, Nicholas Konz, James Duncan, Maciej A. Mazurowski

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

Comments preprint version, accepted in the Journal of Digital Imaging (JDIM). 16 pages (+ author names + references + supplementary), 6 figures

Journal ref J Digit Imaging (2022)

2401.07990 2024-01-17 eess.IV cs.CV cs.LG 82%

How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?

Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian Linte

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

2304.01814 2024-01-10 eess.IV cs.CV cs.LG physics.med-ph 82%

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan

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

Comments IEEE Transactions on Medical Imaging, 2023

Journal ref IEEE Transactions on Medical Imaging, 43(2), 2024

2202.02952 2024-01-08 eess.IV cs.CV cs.LG 82%

Supervision by Denoising for Medical Image Segmentation

Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Christopher A. Metzler, Bruce Fischl, Juan Eugenio Iglesias

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

Comments To appear in the IEEE Transactions on Pattern Analysis and Machine Intelligence

2312.14705 2024-01-04 eess.IV cs.CV cs.LG 82%

SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation

Yifei Chen, Binfeng Zou, Zhaoxin Guo, Yiyu Huang, Yifan Huang, Feiwei Qin, Qinhai Li, Changmiao Wang

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

Comments 10 pages, 7 figures, accept WACV2024

Journal ref WACV 2024

2312.15182 2023-12-27 eess.IV cs.CV cs.LG 82%

Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation

Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaiane

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

2312.13422 2023-12-22 eess.IV cs.CV cs.LG 82%

Texture Matching GAN for CT Image Enhancement

Madhuri Nagare, Gregery T. Buzzard, Charles A. Bouman

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

Comments Submitted to IEEE Transactions on Medical Imaging

2312.10585 2023-12-19 eess.IV cs.CV cs.LG 82%

ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation

Tariq M Khan, Syed S. Naqvi, Erik Meijering

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

2312.09899 2023-12-18 eess.IV cs.CV cs.LG 82%

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model

Yizhe Zhang, Shuo Wang, Tao Zhou, Qi Dou, Danny Z. Chen

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

Comments Work in progress;

2212.07786 2023-12-18 math.NA cs.CV cs.LG cs.NA eess.IV 82%

Convergent Data-driven Regularizations for CT Reconstruction

Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger

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

2305.17421 2023-12-13 eess.IV cs.CV cs.LG 82%

FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

Marawan Elbatel, Robert Martí, Xiaomeng Li

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

Comments Accepted at IEEE TMI, code is available at https://github.com/xmed-lab/FoPro-KD

2312.05986 2023-12-12 eess.IV cs.CV cs.LG 82%

Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning

Xiaoyang Chen, Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap

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

2312.04779 2023-12-11 eess.IV cs.CV cs.LG 82%

Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging

Saeko Sasuga, Akira Kudo, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Atsushi Hamabe, Masayuki Ishii, Ichiro Takemasa

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

Comments 10 pages, 7 figures, Accepted to Data Augmentation, Labeling, and Imperfections (DALI) at MICCAI 2022

2312.01679 2023-12-07 eess.IV cs.CV cs.LG 82%

Adversarial Medical Image with Hierarchical Feature Hiding

Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

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

Comments Our code is available at \url{https://github.com/qsyao/Hierarchical_Feature_Constraint}. arXiv admin note: text overlap with arXiv:2012.09501

2312.02941 2023-12-06 eess.IV cs.CV cs.LG 82%

Fast CT anatomic localization algorithm

Amit Oved

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

2205.11952 2023-11-30 eess.IV cs.AI cs.CV cs.LG 82%

3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture

Jevgenija Rudzusika, Buda Bajić, Thomas Koehler, Ozan Öktem

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

2311.16316 2023-11-29 physics.med-ph physics.bio-ph 82%

Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI

Hong-Hsi Lee, Mahesh Bharath Keerthivasan, Gregory Lemberskiy, Jiangyang Zhang, Els Fieremans, Dmitry S Novikov

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

2311.16213 2023-11-29 eess.IV cs.CV cs.LG 82%

Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI

Arda Pekis, Vignesh Kannan, Evandros Kaklamanos, Anu Antony, Snehal Patel, Tyler Earnest

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

Comments 9 pages, 2 figures, to appear in SPIE: Medical Imaging 2024

2311.15369 2023-11-28 eess.IV cs.AI cs.CV cs.LG physics.med-ph 82%

TD-Net: A Tri-domain network for sparse-view CT reconstruction

Xinyuan Wang, Changqing Su, Bo Xiong

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

2311.15044 2023-11-28 physics.med-ph 82%

High-resolution 3T to 7T MRI Synthesis with a Hybrid CNN-Transformer Model

Zach Eidex, Jing Wang, Mojtaba Safari, Eric Elder, Jacob Wynne, Tonghe Wang, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang

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

2311.13485 2023-11-23 eess.IV cs.CV cs.LG 82%

Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumors

Shahinur Alam, Jinsoo Uh, Alexander Dresner, Chia-ho Hua, Khaled Khairy

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

2311.12892 2023-11-23 eess.IV cs.CV cs.LG physics.med-ph 82%

IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI

Ruimin Feng, Qing Wu, Jie Feng, Huajun She, Chunlei Liu, Yuyao Zhang, Hongjiang Wei

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

2311.12071 2023-11-22 eess.IV cs.CV cs.LG 82%

Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning

Ling Chen, Zhishen Huang, Yong Long, Saiprasad Ravishankar

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

Comments submitted to IEEE Transactions on Medical Imaging

2311.10349 2023-11-20 eess.IV cs.CV cs.LG 82%

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation

Tao Wang, Yuanbin Chen, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Bizhe Bai, Tao Tan, Min Du, Qinquan Gao, Tong Tong

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

2301.10365 2023-11-17 eess.IV cs.CV cs.LG 82%

Data Consistent Deep Rigid MRI Motion Correction

Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland

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

Comments Presented at MIDL 2023. 14 pages, 6 figures. Keywords: motion correction, magnetic resonance imaging, deep learning

2311.08024 2023-11-15 eess.IV cs.CV cs.LG 82%

MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CT

Tao Song, Ruizhi Hou, Lisong Dai, Lei Xiang

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

1. 医学影像 22645 篇

TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method

Unpaired MRI Super Resolution with Contrastive Learning

Inference Stage Denoising for Undersampled MRI Reconstruction

Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement

Deep Learning for Breast MRI Style Transfer with Limited Training Data

How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

Supervision by Denoising for Medical Image Segmentation

SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation

Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation

Texture Matching GAN for CT Image Enhancement

ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model

Convergent Data-driven Regularizations for CT Reconstruction

FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning

Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging

Adversarial Medical Image with Hierarchical Feature Hiding

Fast CT anatomic localization algorithm

3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture

Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI

Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI

TD-Net: A Tri-domain network for sparse-view CT reconstruction

High-resolution 3T to 7T MRI Synthesis with a Hybrid CNN-Transformer Model

Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumors

IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI

Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation

Data Consistent Deep Rigid MRI Motion Correction

MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CT