Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Amogh Johri"'
Autor:
Hannelore Aerts, Nigel Colenbier, Hannes Almgren, Thijs Dhollander, Javier Rasero Daparte, Kenzo Clauw, Amogh Johri, Jil Meier, Jessica Palmer, Michael Schirner, Petra Ritter, Daniele Marinazzo
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-10 (2022)
Measurement(s) BOLD signal • Diffusion Anisotropy Technology Type(s) Functional Magnetic Resonance Imaging • Diffusion Weighted Imaging Factor Type(s) Surgery Sample Characteristic - Organism Homo sapiens
Externí odkaz:
https://doaj.org/article/bccf261a93a144f7b8dd597aaa7f9c57
Autor:
Guo-Rong Wu, Nigel Colenbier, Sofie Van Den Bossche, Kenzo Clauw, Amogh Johri, Madhur Tandon, Daniele Marinazzo
Publikováno v:
NeuroImage, Vol 244, Iss , Pp 118591- (2021)
The hemodynamic response function (HRF) greatly influences the intra- and inter-subject variability of brain activation and connectivity, and might confound the estimation of temporal precedence in connectivity analyses, making its estimation necessa
Externí odkaz:
https://doaj.org/article/021923da5a454b67885e96a33f62da17
Publikováno v:
International Journal of Information Technology. 13:1357-1364
In the contemporary research, biological computational tools have emerged to play a pivotal role in facilitating both cost and time efficient research in several domains of biology. One such domain is addressing the prevailing food allergy issues, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a74e468c7b00cd414825f3f3277c0d6a
https://doi.org/10.1007/s41870-020-00575-w
https://doi.org/10.1007/s41870-020-00575-w
Publikováno v:
ITW
In distributed machine learning (DML), the training data is distributed across multiple worker nodes to perform the underlying training in parallel. One major problem affecting the performance of DML algorithms is presence of stragglers. These are no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb7f0a08a7b6ef9259be48414686160b
https://doi.org/10.1109/itw48936.2021.9611493
https://doi.org/10.1109/itw48936.2021.9611493
Autor:
Daniele Marinazzo, Sofie Van Den Bossche, Madhur Tandon, Nigel Colenbier, Amogh Johri, Kenzo Clauw, Guo-Rong Wu
Publikováno v:
NeuroImage, Vol 244, Iss, Pp 118591-(2021)
NEUROIMAGE
NEUROIMAGE
The hemodynamic response function (HRF) greatly influences the intra- and inter-subject variability of brain activation and connectivity, and might confound the estimation of temporal precedence in connectivity analyses, making its estimation necessa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7c5814c0805fbb85764e79579ee6e97
https://doi.org/10.1016/j.neuroimage.2021.118591
https://doi.org/10.1016/j.neuroimage.2021.118591