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Rachel Sparks

Showing results (1-10 of 83) 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|October 1, 2010
Novel morphometric based classification via diffeomorphic based shape representation using manifold learningRachel Sparks, Anant Madabhushi
Medical Image Analysis|July 16, 2013
Explicit shape descriptors: novel morphologic features for histopathology classificationRachel Sparks, Anant Madabhushi
Scientific Reports|June 7, 2016
Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology ImagesRachel Sparks, Anant Madabhushi
Computer Vision and Image Understanding : CVIU|July 27, 2013
Statistical Shape Model for Manifold Regularization: Gleason grading of prostate histologyRachel Sparks, Anant Madabhushi
Neural Networks : the Official Journal of the International Neural Network Society|June 5, 2025
Self-supervised brain lesion generation for effective data augmentation of medical imagesJiayu Huo, Sébastien Ourselin, Rachel Sparks
Pharmacogenomics|June 8, 2002
Pharmacogenetics and folate metabolism -- a promising directionCornelia M Ulrich, Kim Robien, Rachel Sparks
Computer Methods and Programs in Biomedicine|July 26, 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learningFernando Pérez-García, Rachel Sparks, Sébastien Ourselin
F1000Research|May 12, 2017
Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of autoimmunityWilliam W Lau, Rachel Sparks, , et al.
Immunity|December 22, 2016
Expanding the Immunology Toolbox: Embracing Public-Data Reuse and CrowdsourcingRachel Sparks, William W Lau, John S Tsang
Journal of Medical Imaging (Bellingham, Wash.)|April 7, 2017
Connecting Markov random fields and active contour models: application to gland segmentation and classificationJun Xu, James P Monaco, Rachel Sparks, et al.
Pageof 9

Showing results (1-10 of 83) with videos related to

Sort By:
Pageof 9
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Novel morphometric based classification via diffeomorphic based shape representation using manifold learningRachel Sparks, Anant Madabhushi
Medical Image Analysis|July 16, 2013
Explicit shape descriptors: novel morphologic features for histopathology classificationRachel Sparks, Anant Madabhushi
Scientific Reports|June 7, 2016
Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology ImagesRachel Sparks, Anant Madabhushi
Computer Vision and Image Understanding : CVIU|July 27, 2013
Statistical Shape Model for Manifold Regularization: Gleason grading of prostate histologyRachel Sparks, Anant Madabhushi
Neural Networks : the Official Journal of the International Neural Network Society|June 5, 2025
Self-supervised brain lesion generation for effective data augmentation of medical imagesJiayu Huo, Sébastien Ourselin, Rachel Sparks
Pharmacogenomics|June 8, 2002
Pharmacogenetics and folate metabolism -- a promising directionCornelia M Ulrich, Kim Robien, Rachel Sparks
Computer Methods and Programs in Biomedicine|July 26, 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learningFernando Pérez-García, Rachel Sparks, Sébastien Ourselin
F1000Research|May 12, 2017
Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of autoimmunityWilliam W Lau, Rachel Sparks, , et al.
Immunity|December 22, 2016
Expanding the Immunology Toolbox: Embracing Public-Data Reuse and CrowdsourcingRachel Sparks, William W Lau, John S Tsang
Journal of Medical Imaging (Bellingham, Wash.)|April 7, 2017
Connecting Markov random fields and active contour models: application to gland segmentation and classificationJun Xu, James P Monaco, Rachel Sparks, et al.
Pageof 9