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Medical Image Analysis
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June 2, 2026
TD loss: Taylor expansion of Dice loss for robust medical image segmentation
Bin Zheng, Ziyang He, Weijin Xu, et al.
Medical Image Analysis
|
June 10, 2026
A spatiotemporal dependency-aware lightweight CNN-ViT network for 3D MRF with a balanced acceleration strategy
Jintao Wei, Huihui Ye, Bingchen Shao, et al.
Medical Image Analysis
|
December 30, 2025
GloW-VSNet: A scribble-based weakly supervised framework for global-view vitiligo lesion segmentation
Yuheng Wang, Yuhan Zheng, Chloe Yue, et al.
Medical Image Analysis
|
June 16, 2023
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images
Tareen Dawood, Chen Chen, Baldeep S Sidhu, et al.
Medical Image Analysis
|
June 14, 2023
Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis
|
June 9, 2023
Diffusion models in medical imaging: A comprehensive survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, et al.
Medical Image Analysis
|
June 9, 2023
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation
Xiaokang Li, Menghua Xia, Jing Jiao, et al.
Medical Image Analysis
|
June 1, 2023
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Zaripova, Luca Cosmo, Anees Kazi, et al.
Medical Image Analysis
|
June 1, 2023
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics
Pál Vakli, Béla Weiss, János Szalma, et al.
Medical Image Analysis
|
June 5, 2023
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective
Kaiwen Xu, Thomas Li, Mirza S Khan, et al.
Page
of 371
Search research articles
Search
Showing results (571-580 of 3,703) with videos related to
Sort By:
Page
of 371
Medical Image Analysis
|
June 2, 2026
TD loss: Taylor expansion of Dice loss for robust medical image segmentation
Bin Zheng, Ziyang He, Weijin Xu, et al.
Medical Image Analysis
|
June 10, 2026
A spatiotemporal dependency-aware lightweight CNN-ViT network for 3D MRF with a balanced acceleration strategy
Jintao Wei, Huihui Ye, Bingchen Shao, et al.
Medical Image Analysis
|
December 30, 2025
GloW-VSNet: A scribble-based weakly supervised framework for global-view vitiligo lesion segmentation
Yuheng Wang, Yuhan Zheng, Chloe Yue, et al.
Medical Image Analysis
|
June 16, 2023
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images
Tareen Dawood, Chen Chen, Baldeep S Sidhu, et al.
Medical Image Analysis
|
June 14, 2023
Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis
|
June 9, 2023
Diffusion models in medical imaging: A comprehensive survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, et al.
Medical Image Analysis
|
June 9, 2023
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation
Xiaokang Li, Menghua Xia, Jing Jiao, et al.
Medical Image Analysis
|
June 1, 2023
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Zaripova, Luca Cosmo, Anees Kazi, et al.
Medical Image Analysis
|
June 1, 2023
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics
Pál Vakli, Béla Weiss, János Szalma, et al.
Medical Image Analysis
|
June 5, 2023
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective
Kaiwen Xu, Thomas Li, Mirza S Khan, et al.
Page
of 371