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Joshua V Stough

Showing results (1-10 of 8) with videos related to

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Proceedings. IEEE International Symposium on Biomedical Imaging|October 23, 2013
THALAMIC PARCELLATION FROM MULTI-MODAL DATA USING RANDOM FOREST LEARNINGJoshua V Stough, Chuyang Ye, Sarah H Ying, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2007
Regional appearance in deformable model segmentationJoshua V Stough, Robert E Broadhurst, Stephen M Pizer, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 2, 2016
Thalamus parcellation using multi-modal feature classification and thalamic nuclei priorsJeffrey Glaister, Aaron Carass, Joshua V Stough, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Automatic method for thalamus parcellation using multi-modal feature classificationJoshua V Stough, Jeffrey Glaister, Chuyang Ye, et al.
Neuroimage|July 4, 2017
Thalamus segmentation using multi-modal feature classification: Validation and pilot study of an age-matched cohortJeffrey Glaister, Aaron Carass, Tziona NessAiver, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk AssessmentAlvaro Emilio Ulloa Cerna, David P vanMaanen, Linyuan Jing, et al.
The International Journal of Cardiovascular Imaging|February 24, 2022
Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical datasetXiaoyan Zhang, Alvaro E Ulloa Cerna, Joshua V Stough, et al.
JACC. Heart Failure|May 11, 2020
A Machine Learning Approach to Management of Heart Failure PopulationsLinyuan Jing, Alvaro E Ulloa Cerna, Christopher W Good, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings. IEEE International Symposium on Biomedical Imaging|October 23, 2013
THALAMIC PARCELLATION FROM MULTI-MODAL DATA USING RANDOM FOREST LEARNINGJoshua V Stough, Chuyang Ye, Sarah H Ying, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2007
Regional appearance in deformable model segmentationJoshua V Stough, Robert E Broadhurst, Stephen M Pizer, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 2, 2016
Thalamus parcellation using multi-modal feature classification and thalamic nuclei priorsJeffrey Glaister, Aaron Carass, Joshua V Stough, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Automatic method for thalamus parcellation using multi-modal feature classificationJoshua V Stough, Jeffrey Glaister, Chuyang Ye, et al.
Neuroimage|July 4, 2017
Thalamus segmentation using multi-modal feature classification: Validation and pilot study of an age-matched cohortJeffrey Glaister, Aaron Carass, Tziona NessAiver, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk AssessmentAlvaro Emilio Ulloa Cerna, David P vanMaanen, Linyuan Jing, et al.
The International Journal of Cardiovascular Imaging|February 24, 2022
Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical datasetXiaoyan Zhang, Alvaro E Ulloa Cerna, Joshua V Stough, et al.
JACC. Heart Failure|May 11, 2020
A Machine Learning Approach to Management of Heart Failure PopulationsLinyuan Jing, Alvaro E Ulloa Cerna, Christopher W Good, et al.
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