Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Tabinda Sarwar"'
Autor:
Andrew Zalesky, Tabinda Sarwar, Ye Tian, Yuanzhe Liu, B. T. Thomas Yeo, Kotagiri Ramamohanarao
Publikováno v:
Harvard Data Science Review (2024)
Externí odkaz:
https://doaj.org/article/5a403b0e4092468ba60f81f282f7d03c
Autor:
Tabinda Sarwar, Kotagiri Ramamohanarao, Alessandro Daducci, Simona Schiavi, Robert E. Smith, Andrew Zalesky
Publikováno v:
NeuroImage, Vol 281, Iss , Pp 120376- (2023)
Tractography algorithms are prone to reconstructing spurious connections. The set of streamlines generated with tractography can be post-processed to retain the streamlines that are most biologically plausible. Several microstructure-informed filteri
Externí odkaz:
https://doaj.org/article/7c48284afacd46bba5a45bfe59b98697
Autor:
Tabinda Sarwar, Antonio Jose Jimeno Yepes, Xiuzhen Zhang, Jeffrey Chan, Irene Hudson, Sarah Evans, Lawrence Cavedon
Publikováno v:
BMC Geriatrics, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Although elderly population is generally frail, it is important to closely monitor their health deterioration to improve the care and support in residential aged care homes (RACs). Currently, the best identification approach is th
Externí odkaz:
https://doaj.org/article/deb5fd078cf64a07a1d3e44f96f9fce8
Publikováno v:
NeuroImage, Vol 245, Iss , Pp 118704- (2021)
Fiber tractography is widely used to non-invasively map white-matter bundles in vivo using diffusion-weighted magnetic resonance imaging (dMRI). As it is the case for all scientific methods, proper validation is a key prerequisite for the successful
Externí odkaz:
https://doaj.org/article/e84cd92b1b2a40b59086095e64a2e756
Publikováno v:
NeuroImage, Vol 212, Iss , Pp 116654- (2020)
We propose a new framework to map structural connectomes using deep learning and diffusion MRI. We show that our framework not only enables connectome mapping with a convolutional neural network (CNN), but can also be straightforwardly incorporated i
Externí odkaz:
https://doaj.org/article/8ec52d5a663b46ce979d7df8f18e7901
Autor:
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, Xiuzhen Zhang, Vural Aksakalli, Irene Hudson, Karin Verspoor, Lawrence Cavedon
Publikováno v:
ACM Computing Surveys. 55:1-40
The primary objective of implementing Electronic Health Records (EHRs) is to improve the management of patients’ health-related information. However, these records have also been extensively used for the secondary purpose of clinical research and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c87b1b3ef67ebff2fb4e605953e0a6a3
https://doi.org/10.1145/3490234
https://doi.org/10.1145/3490234
Publikováno v:
Magnetic Resonance in Medicine. 84:2308-2311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::646825351e51805c768f2f52d4738c4c
https://doi.org/10.1002/mrm.28412
https://doi.org/10.1002/mrm.28412
Publikováno v:
NMR in biomedicineREFERENCES. 34(12)
Diffusion MRI tractography is the most widely used macroscale method for mapping connectomes in vivo. However, tractography is prone to various errors and biases, and thus tractography-derived connectomes require careful validation. Here, we critical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9531ee5e4868610893341f62891a296e
https://pubmed.ncbi.nlm.nih.gov/34516016
https://pubmed.ncbi.nlm.nih.gov/34516016
Publikováno v:
IJCNN
Deep reinforcement learning (DRL) has demonstrated promising performance to learn effective heuristics to solve complex combinatorial optimisation problems via policy networks. However, traditional reinforcement learning (RL) suffers from insufficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6da5b8f12d12a435b7552c3644dab725
https://doi.org/10.1109/ijcnn52387.2021.9534010
https://doi.org/10.1109/ijcnn52387.2021.9534010
Publikováno v:
NeuroImage, Vol 245, Iss, Pp 118704-(2021)
Fiber tractography is widely used to non-invasively map white-matter bundles in vivo using diffusion-weighted magnetic resonance imaging (dMRI). As it is the case for all scientific methods, proper validation is a key prerequisite for the successful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c2f5fc6516b42bd60d6c235084853a6
https://pubmed.ncbi.nlm.nih.gov/34748954
https://pubmed.ncbi.nlm.nih.gov/34748954