Detalhe da pesquisa
1.
Toward a noninvasive estimate of interstitial fluid pressure by dynamic contrast-enhanced MRI in a rat model of cerebral tumor.
Magn Reson Med
; 80(5): 2040-2052, 2018 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-29524243
2.
An adaptive model for rapid and direct estimation of extravascular extracellular space in dynamic contrast enhanced MRI studies.
NMR Biomed
; 30(5)2017 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-28195664
3.
An extended vascular model for less biased estimation of permeability parameters in DCE-T1 images.
NMR Biomed
; 30(6)2017 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-28211961
4.
A parametric model of the brain vascular system for estimation of the arterial input function (AIF) at the tissue level.
NMR Biomed
; 30(5)2017 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-28211963
5.
DCE-MRI prediction of survival time for patients with glioblastoma multiforme: using an adaptive neuro-fuzzy-based model and nested model selection technique.
NMR Biomed
; 30(9)2017 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-28543885
6.
MEG Coherence and DTI Connectivity in mTLE.
Brain Topogr
; 29(4): 598-622, 2016 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-27060092
7.
Peritumoral tissue compression is predictive of exudate flux in a rat model of cerebral tumor: an MRI study in an embedded tumor.
NMR Biomed
; 28(11): 1557-69, 2015 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-26423316
8.
Dynamic contrast enhanced MRI parameters and tumor cellularity in a rat model of cerebral glioma at 7 T.
Magn Reson Med
; 71(6): 2206-14, 2014 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-23878070
9.
Intratumor distribution and test-retest comparisons of physiological parameters quantified by dynamic contrast-enhanced MRI in rat U251 glioma.
NMR Biomed
; 27(10): 1230-8, 2014 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-25125367
10.
Measurement of rat brain tumor kinetics using an intravascular MR contrast agent and DCE-MRI nested model selection.
J Magn Reson Imaging
; 40(5): 1223-9, 2014 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-24421265
11.
Model selection in measures of vascular parameters using dynamic contrast-enhanced MRI: experimental and clinical applications.
NMR Biomed
; 26(8): 1028-41, 2013 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-23881857
12.
Radiomics characterization of tissues in an animal brain tumor model imaged using dynamic contrast enhanced (DCE) MRI.
Sci Rep
; 13(1): 10693, 2023 07 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-37394559
13.
An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.
Med Phys
; 50(1): 311-322, 2023 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-36112996
14.
A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.
Med Phys
; 50(11): 6990-7002, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37738468
15.
Dynamic contrast enhanced (DCE) MRI estimation of vascular parameters using knowledge-based adaptive models.
Sci Rep
; 13(1): 9672, 2023 06 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37316579
16.
Model selection for DCE-T1 studies in glioblastoma.
Magn Reson Med
; 68(1): 241-51, 2012 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-22127934
17.
Radiomics outperforms clinical factors in characterizing human papilloma virus (HPV) for patients with oropharyngeal squamous cell carcinomas.
Biomed Phys Eng Express
; 8(4)2022 06 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34781281
18.
Prostate cancer malignancy detection and localization from mpMRI using auto-deep learning as one step closer to clinical utilization.
Sci Rep
; 12(1): 22430, 2022 12 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-36575209
19.
MRI estimation of gadolinium and albumin effects on water proton.
Neuroimage
; 54 Suppl 1: S176-9, 2011 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-20493266
20.
Modeling of Look-Locker estimates of the magnetic resonance imaging estimate of longitudinal relaxation rate in tissue after contrast administration.
Magn Reson Med
; 66(5): 1432-44, 2011 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-21630341