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Tabinda Sarwar

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

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Magnetic Resonance in Medicine|October 22, 2019
A cautionary note on the use of SIFT in pathological connectomesAndrew Zalesky, Tabinda Sarwar, Kotagiri Ramamohanarao
Magnetic Resonance in Medicine|July 28, 2020
SIFT in pathological connectomes: Follow-up response to Smith and colleaguesAndrew Zalesky, Tabinda Sarwar, Ramamohanarao Kotagiri
NMR in Biomedicine|September 13, 2021
A critical review of connectome validation studiesTabinda Sarwar, Kotagiri Ramamohanarao, Andrew Zalesky
Magnetic Resonance in Medicine|October 11, 2018
Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?Tabinda Sarwar, Kotagiri Ramamohanarao, Andrew Zalesky
Neuroimage|November 8, 2021
Physical and digital phantoms for validating tractography and assessing artifactsIvana Drobnjak, Peter Neher, Cyril Poupon, et al.
Neuroimage|February 19, 2020
Towards deep learning for connectome mapping: A block decomposition frameworkTabinda Sarwar, Caio Seguin, Kotagiri Ramamohanarao, et al.
Journal of Medical Internet Research|December 30, 2025
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language ModelsTabinda Sarwar, Antonio José Jimeno Yepes, Lawrence Cavedon
Neuroimage|September 15, 2023
Evaluation of tractogram filtering methods using human-like connectome phantomsTabinda Sarwar, Kotagiri Ramamohanarao, Alessandro Daducci, et al.
Network Neuroscience (Cambridge, Mass.)|December 30, 2024
Predicting an individual's functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospectsAndrew Zalesky, Tabinda Sarwar, Ye Tian, et al.
BMC Geriatrics|November 30, 2022
Development and validation of retrospective electronic frailty index using operational data of aged care homesTabinda Sarwar, Antonio Jose Jimeno Yepes, Xiuzhen Zhang, et al.
Pageof 1

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

Sort By:
Pageof 1
Magnetic Resonance in Medicine|October 22, 2019
A cautionary note on the use of SIFT in pathological connectomesAndrew Zalesky, Tabinda Sarwar, Kotagiri Ramamohanarao
Magnetic Resonance in Medicine|July 28, 2020
SIFT in pathological connectomes: Follow-up response to Smith and colleaguesAndrew Zalesky, Tabinda Sarwar, Ramamohanarao Kotagiri
NMR in Biomedicine|September 13, 2021
A critical review of connectome validation studiesTabinda Sarwar, Kotagiri Ramamohanarao, Andrew Zalesky
Magnetic Resonance in Medicine|October 11, 2018
Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?Tabinda Sarwar, Kotagiri Ramamohanarao, Andrew Zalesky
Neuroimage|November 8, 2021
Physical and digital phantoms for validating tractography and assessing artifactsIvana Drobnjak, Peter Neher, Cyril Poupon, et al.
Neuroimage|February 19, 2020
Towards deep learning for connectome mapping: A block decomposition frameworkTabinda Sarwar, Caio Seguin, Kotagiri Ramamohanarao, et al.
Journal of Medical Internet Research|December 30, 2025
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language ModelsTabinda Sarwar, Antonio José Jimeno Yepes, Lawrence Cavedon
Neuroimage|September 15, 2023
Evaluation of tractogram filtering methods using human-like connectome phantomsTabinda Sarwar, Kotagiri Ramamohanarao, Alessandro Daducci, et al.
Network Neuroscience (Cambridge, Mass.)|December 30, 2024
Predicting an individual's functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospectsAndrew Zalesky, Tabinda Sarwar, Ye Tian, et al.
BMC Geriatrics|November 30, 2022
Development and validation of retrospective electronic frailty index using operational data of aged care homesTabinda Sarwar, Antonio Jose Jimeno Yepes, Xiuzhen Zhang, et al.
Pageof 1