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LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR
  Images
v1v2 (latest)

LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
28 April 2021
Yanglan Ou
Ye Yuan
Xiaolei Huang
Kelvin K. Wong
John Volpi
Chao Guo
Stephen T. C. Wong
    MedIm
ArXiv (abs)PDFHTML

Papers citing "LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images"

3 / 3 papers shown
Runtime Freezing: Dynamic Class Loss for Multi-Organ 3D Segmentation
Runtime Freezing: Dynamic Class Loss for Multi-Organ 3D Segmentation
James Willoughby
Irina Voiculescu
SSegAI4CE
142
0
0
12 Jun 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation:
  Generalizability and Clinical Utility Beyond the ISLES Challenge
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Ezequiel de la Rosa
Mauricio Reyes
S. Liew
Alexandre Hutton
Roland Wiest
...
Antonio Terpin
M. H. Petzsche
Bjoern Menze
Jan S. Kirschke
Benedikt Wiestler
202
13
0
28 Mar 2024
Patcher: Patch Transformers with Mixture of Experts for Precise Medical
  Image Segmentation
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yanglan Ou
Ye Yuan
Xiaolei Huang
Stephen T. C. Wong
John Volpi
James Z. Wang
K. Wong
ViTMoEMedIm
274
20
0
03 Jun 2022
1
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