Detalhe da pesquisa
1.
Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness.
J Magn Reson Imaging
; 55(6): 1745-1758, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-34767682
2.
Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural network.
J Med Imaging (Bellingham)
; 7(5): 057501, 2020 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-33062803
3.
Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI Space.
Tomography
; 5(1): 127-134, 2019 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-30854450
4.
Optimized b-value selection for the discrimination of prostate cancer grades, including the cribriform pattern, using diffusion weighted imaging.
J Med Imaging (Bellingham)
; 5(1): 011004, 2018 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29098169
5.
Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer.
Int J Radiat Oncol Biol Phys
; 101(5): 1179-1187, 2018 08 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29908785
6.
Magnetic Resonance Imaging-Based Radiomic Profiles Predict Patient Prognosis in Newly Diagnosed Glioblastoma Before Therapy.
Tomography
; 2(3): 223-228, 2016 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-27774518