Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guilherme Pombo"'
Autor:
James K. Ruffle, Robert J Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
Publikováno v:
NeuroImage, Vol 291, Iss , Pp 120600- (2024)
Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clinical applications and casting doubt on the generalisability of inferre
Externí odkaz:
https://doaj.org/article/bffad76a626b4c6897c835435a69cb38
Autor:
James Ruffle, Samia Mohinta, Guilherme Pombo, Robert Gray, Valeriya Kopanitsa, Faith Lee, Sebastian Brandner, Harpreet Hyare, Parashkev Nachev
Publikováno v:
Neuro-Oncology. 24:vii27-vii28
Tumor heterogeneity is increasingly recognized as a major obstacle to therapeutic innovation across neuro-oncology. Gliomas typically exhibit a spectrum of possible genetic mutations, reflecting multiple, potentially complex interactions across disti
Autor:
Guilherme Pombo, Robert Gray, M. Jorge Cardoso, Sebastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
Publikováno v:
Medical Image Analysis. 84:102723
We describe CounterSynth, a conditional generative model of diffeomorphic deformations that induce label-driven, biologically plausible changes in volumetric brain images. The model is intended to synthesise counterfactual training data augmentations
Publikováno v:
Mini-Micro-Nano-Dosimetry (MMND) 2020
Mini-Micro-& Nano Dosimetry (MMND) 2020
Mini-Micro-& Nano Dosimetry (MMND) 2020
© Copyright 2022 The Authors. Image segmentation is a computer vision task aiming to establish a probabilistic mapping between individual pixels (2D) or voxels (3D) in an input image and a set of predefined semantic categories with reference to doma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d54c2a17fbe9be4d11eac4fee214ad49
http://bura.brunel.ac.uk/handle/2438/21771
http://bura.brunel.ac.uk/handle/2438/21771
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322502
MICCAI (4)
MICCAI (4)
Deep generative models are rapidly gaining traction in medical imaging. Nonetheless, most generative architectures struggle to capture the underlying probability distributions of volumetric data, exhibit convergence problems, and offer no robust indi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03191bf46794b76fe7eadcb04b65ac6f
https://doi.org/10.1007/978-3-030-32251-9_47
https://doi.org/10.1007/978-3-030-32251-9_47
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319155814
EWSN
EWSN
We present and evaluate a microcontroller-optimized limited-memory implementation of a Warping Longest Common Subsequence algorithm (WarpingLCSS). It permits to spot patterns within noisy sensor data in real-time in resource constrained sensor nodes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d8d3a86392ad2fe5808344ef7a8c09
https://doi.org/10.1007/978-3-319-15582-1_10
https://doi.org/10.1007/978-3-319-15582-1_10