Detalhe da pesquisa
1.
Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients.
Sensors (Basel)
; 21(6)2021 Mar 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-33809710
2.
"Look at my classifier's result": Disentangling unresponsive from (minimally) conscious patients.
Neuroimage
; 145(Pt B): 288-303, 2017 01 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-26690804
3.
Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resection.
Front Oncol
; 13: 1062937, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37637046
4.
Clinical evaluation of automated segmentation for body composition analysis on abdominal L3 CT slices in polytrauma patients.
Injury
; 53 Suppl 3: S30-S41, 2022 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-35680433
5.
CT-Based Prediction of Liver Function and Post-PVE Hypertrophy Using an Artificial Neural Network.
J Clin Med
; 10(14)2021 Jul 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-34300246
6.
Parameter sensitivity visualization for DTI fiber tracking.
IEEE Trans Vis Comput Graph
; 15(6): 1441-8, 2009.
Artigo
em Inglês
| MEDLINE | ID: mdl-19834219
7.
Reproducible grey matter patterns index a multivariate, global alteration of brain structure in schizophrenia and bipolar disorder.
Transl Psychiatry
; 9(1): 12, 2019 01 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-30664633
8.
Validating Paediatric Morphometrics: body proportion measurement using photogrammetric anthropometry.
J Pediatr Endocrinol Metab
; 28(11-12): 1357-62, 2015 Nov 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-26226127