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James S Duncan

Showing results (31-40 of 209) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 8, 2010
A Dynamical Shape Prior for LV Segmentation from RT3D EchocardiographyYun Zhu, Xenophon Papademetris, Albert J Sinusas, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
A dynamical shape prior for LV segmentation from RT3D echocardiographyYun Zhu, Xenophon Papademetris, Albert J Sinusas, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 6, 2024
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic ExpertsChenyu You, Weicheng Dai, Yifei Min, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 6, 2023
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive DistillationChenyu You, Weicheng Dai, Yifei Min, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|September 28, 2011
SEGMENTATION OF 3D DEFORMABLE OBJECTS WITH LEVEL SET BASED PRIOR MODELSJing Yang, Hemant D Tagare, Lawrence H Staib, et al.
Medical Image Analysis|July 19, 2003
A unified non-rigid feature registration method for brain mappingHaili Chui, Lawrence Win, Robert Schultz, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|November 7, 2017
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory NetworksNicha C Dvornek, Pamela Ventola, Kevin A Pelphrey, et al.
IEEE Transactions on Medical Imaging|March 23, 2022
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image SegmentationChenyu You, Yuan Zhou, Ruihan Zhao, et al.
Machine Learning in Clinical Neuroimaging : 6Th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. MLCN (Workshop) (6Th : 2023 : Vancouver, B.C.)|February 19, 2024
Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum DisorderNicha C Dvornek, Catherine Sullivan, James S Duncan, et al.
Machine Learning in Clinical Neuroimaging : 6Th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. MLCN (Workshop) (6Th : 2023 : Vancouver, B.C.)|September 16, 2024
Learning Sequential Information in Task-based fMRI for Synthetic Data AugmentationJiyao Wang, Nicha C Dvornek, Lawrence H Staib, et al.
Pageof 21

Showing results (31-40 of 209) with videos related to

Sort By:
Pageof 21
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 8, 2010
A Dynamical Shape Prior for LV Segmentation from RT3D EchocardiographyYun Zhu, Xenophon Papademetris, Albert J Sinusas, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
A dynamical shape prior for LV segmentation from RT3D echocardiographyYun Zhu, Xenophon Papademetris, Albert J Sinusas, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 6, 2024
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic ExpertsChenyu You, Weicheng Dai, Yifei Min, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 6, 2023
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive DistillationChenyu You, Weicheng Dai, Yifei Min, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|September 28, 2011
SEGMENTATION OF 3D DEFORMABLE OBJECTS WITH LEVEL SET BASED PRIOR MODELSJing Yang, Hemant D Tagare, Lawrence H Staib, et al.
Medical Image Analysis|July 19, 2003
A unified non-rigid feature registration method for brain mappingHaili Chui, Lawrence Win, Robert Schultz, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|November 7, 2017
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory NetworksNicha C Dvornek, Pamela Ventola, Kevin A Pelphrey, et al.
IEEE Transactions on Medical Imaging|March 23, 2022
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image SegmentationChenyu You, Yuan Zhou, Ruihan Zhao, et al.
Machine Learning in Clinical Neuroimaging : 6Th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. MLCN (Workshop) (6Th : 2023 : Vancouver, B.C.)|February 19, 2024
Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum DisorderNicha C Dvornek, Catherine Sullivan, James S Duncan, et al.
Machine Learning in Clinical Neuroimaging : 6Th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. MLCN (Workshop) (6Th : 2023 : Vancouver, B.C.)|September 16, 2024
Learning Sequential Information in Task-based fMRI for Synthetic Data AugmentationJiyao Wang, Nicha C Dvornek, Lawrence H Staib, et al.
Pageof 21