Detalhe da pesquisa
1.
A snapshot of medical physics practice patterns.
J Appl Clin Med Phys
; 19(6): 306-315, 2018 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-30272385
2.
Cost-effective immobilization for whole brain radiation therapy.
J Appl Clin Med Phys
; 18(4): 116-122, 2017 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-28585732
3.
Association of graph-based spatial features with overall survival status of glioblastoma patients.
Sci Rep
; 13(1): 17046, 2023 10 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37813981
4.
Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI.
Annu Int Conf IEEE Eng Med Biol Soc
; 2023: 1-4, 2023 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-38083692
5.
Head and Neck Radiation Therapy Patterns of Practice Variability Identified as a Challenge to Real-World Big Data: Results From the Learning from Analysis of Multicentre Big Data Aggregation (LAMBDA) Consortium.
Adv Radiat Oncol
; 8(1): 100925, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36711064
6.
Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images.
Sci Rep
; 13(1): 12701, 2023 08 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37543648
7.
Differentiating intrinsic SERS spectra from a mixture by sampling induced composition gradient and independent component analysis.
Analyst
; 137(1): 73-6, 2012 Jan 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-22046582
8.
Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease.
Sci Rep
; 12(1): 4832, 2022 03 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-35318420
9.
Stress Testing Pathology Models with Generated Artifacts.
J Pathol Inform
; 12: 54, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-35070483
10.
Radiomics feature robustness as measured using an MRI phantom.
Sci Rep
; 11(1): 3973, 2021 02 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-33597610
11.
Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning.
Sci Rep
; 10(1): 20331, 2020 11 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-33230285
12.
A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma.
Sci Rep
; 9(1): 1322, 2019 02 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30718585
13.
DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer.
Neuroimage Clin
; 12: 132-43, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27408798
14.
Associating spatial diversity features of radiologically defined tumor habitats with epidermal growth factor receptor driver status and 12-month survival in glioblastoma: methods and preliminary investigation.
J Med Imaging (Bellingham)
; 2(4): 041006, 2015 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-26835490
15.
Spatial Habitat Features Derived from Multiparametric Magnetic Resonance Imaging Data Are Associated with Molecular Subtype and 12-Month Survival Status in Glioblastoma Multiforme.
PLoS One
; 10(9): e0136557, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26368923
16.
Purification and characterization of a 7-kDa protein from Clonorchis sinensis adult worms.
J Parasitol
; 88(3): 499-504, 2002 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-12099418
17.
Expression of cysteine proteinase of Clonorchis sinensis and its use in serodiagnosis of clonorchiasis.
J Parasitol
; 88(5): 1000-6, 2002 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-12435144
18.
Comparison of analytical and numerical analysis of the reference region model for DCE-MRI.
Magn Reson Imaging
; 32(7): 845-53, 2014 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-24925838
19.
An analysis of the pharmacokinetic parameter ratios in DCE-MRI using the reference region model.
Magn Reson Imaging
; 30(1): 26-35, 2012 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-22071409
20.
Quantification of DCE-MRI: pharmacokinetic parameter ratio between TOI and RR in reference region model.
Annu Int Conf IEEE Eng Med Biol Soc
; 2010: 2837-40, 2010.
Artigo
em Inglês
| MEDLINE | ID: mdl-21095706