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Ehsan Adeli

Showing results (61-70 of 134) with videos related to

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Predictive Intelligence in Medicine. PRIME (Workshop)|May 14, 2025
Neurocognitive Latent Space Regularization for Multi-Label Diagnosis from MRIJocasta Manasseh-Lewis, Felipe Godoy, Wei Peng, et al.
Ageing Research Reviews|August 24, 2025
Personalized cognitive enhancement for older adults: An aging-friendly closed-loop human-machine interface frameworkSa Zhou, Yang Liu, Adam Turnbull, et al.
Medical Image Analysis|February 8, 2018
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completionKim-Han Thung, Pew-Thian Yap, Ehsan Adeli, et al.
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, LABELS 2019, HAL-MICCAI 2019, and Curious 2019, Held in C|September 14, 2020
Data Augmentation Based on Substituting Regional MRIs Volume ScoresTuo Leng, Qingyu Zhao, Chao Yang, et al.
Proceedings. IEEE International Conference on Computer Vision|May 4, 2026
UniEgoMotion: A Unified Model for Egocentric Motion Reconstruction, Forecasting, and GenerationChaitanya Patel, Hiroki Nakamura, Yuta Kyuragi, et al.
Scientific Reports|March 31, 2017
A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease DiagnosisLe An, Ehsan Adeli, Mingxia Liu, et al.
Artificial Intelligence in Medicine|July 6, 2024
Vision-based estimation of fatigue and engagement in cognitive training sessionsYanchen Wang, Adam Turnbull, Yunlong Xu, et al.
Connectomics in Neuroimaging : Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. CNI (Workshop) (3Rd : 2019 : Shenzhen Shi, China)|September 14, 2020
Covariance Shrinkage for Dynamic Functional ConnectivityNicolas Honnorat, Ehsan Adeli, Qingyu Zhao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 8, 2016
Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic AssistanceYue Gao, Ehsan Adeli-M, Minjeong Kim, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 1, 2020
Spatio-Temporal Graph Convolution for Resting-State fMRI AnalysisSoham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, et al.
Pageof 14

Showing results (61-70 of 134) with videos related to

Sort By:
Pageof 14
Predictive Intelligence in Medicine. PRIME (Workshop)|May 14, 2025
Neurocognitive Latent Space Regularization for Multi-Label Diagnosis from MRIJocasta Manasseh-Lewis, Felipe Godoy, Wei Peng, et al.
Ageing Research Reviews|August 24, 2025
Personalized cognitive enhancement for older adults: An aging-friendly closed-loop human-machine interface frameworkSa Zhou, Yang Liu, Adam Turnbull, et al.
Medical Image Analysis|February 8, 2018
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completionKim-Han Thung, Pew-Thian Yap, Ehsan Adeli, et al.
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, LABELS 2019, HAL-MICCAI 2019, and Curious 2019, Held in C|September 14, 2020
Data Augmentation Based on Substituting Regional MRIs Volume ScoresTuo Leng, Qingyu Zhao, Chao Yang, et al.
Proceedings. IEEE International Conference on Computer Vision|May 4, 2026
UniEgoMotion: A Unified Model for Egocentric Motion Reconstruction, Forecasting, and GenerationChaitanya Patel, Hiroki Nakamura, Yuta Kyuragi, et al.
Scientific Reports|March 31, 2017
A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease DiagnosisLe An, Ehsan Adeli, Mingxia Liu, et al.
Artificial Intelligence in Medicine|July 6, 2024
Vision-based estimation of fatigue and engagement in cognitive training sessionsYanchen Wang, Adam Turnbull, Yunlong Xu, et al.
Connectomics in Neuroimaging : Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. CNI (Workshop) (3Rd : 2019 : Shenzhen Shi, China)|September 14, 2020
Covariance Shrinkage for Dynamic Functional ConnectivityNicolas Honnorat, Ehsan Adeli, Qingyu Zhao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 8, 2016
Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic AssistanceYue Gao, Ehsan Adeli-M, Minjeong Kim, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 1, 2020
Spatio-Temporal Graph Convolution for Resting-State fMRI AnalysisSoham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, et al.
Pageof 14