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1.
Ten quick tips for computational analysis of medical images.
PLoS Comput Biol
; 19(1): e1010778, 2023 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36602952
2.
Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.
Eur Radiol
; 31(1): 379-391, 2021 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-32700021
3.
T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
Eur Radiol
; 31(3): 1336-1346, 2021 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-32876839
4.
Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review.
Chin J Cancer Res
; 33(5): 563-573, 2021 Oct 31.
Artículo
en Inglés
| MEDLINE | ID: mdl-34815630
5.
Repeatability of radiomics and machine learning for DWI: Short-term repeatability study of 112 patients with prostate cancer.
Magn Reson Med
; 83(6): 2293-2309, 2020 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-31703155
6.
Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings.
J Magn Reson Imaging
; 48(6): 1626-1636, 2018 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-29734484
7.
Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings.
J Magn Reson Imaging
; 2018 Feb 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-29469937
8.
Editorial for "Multiparametric MRI-Based Peritumoral Radiomics for Preoperative Prediction of the Presence of Extracapsular Extension With Prostate Cancer".
J Magn Reson Imaging
; 54(4): 1231-1232, 2021 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-34050577
9.
Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
Eur Radiol
; 31(4): 2644, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-32945970
10.
Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review.
Int J Med Inform
; 182: 105303, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38088002
11.
Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study.
Comput Biol Med
; 177: 108643, 2024 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-38815485
12.
An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findings.
Heliyon
; 10(8): e29602, 2024 Apr 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-38665576
13.
Multi-scale statistical deformation based co-registration of prostate MRI and post-surgical whole mount histopathology.
Med Phys
; 51(4): 2549-2562, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-37742344
14.
"Shortcuts" Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation.
J Am Coll Radiol
; 20(9): 842-851, 2023 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-37506964
15.
Novel radiomic analysis on bi-parametric MRI for characterizing differences between MR non-visible and visible clinically significant prostate cancer.
Eur J Radiol Open
; 10: 100496, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37396490
16.
Delta radiomic patterns on serial bi-parametric MRI are associated with pathologic upgrading in prostate cancer patients on active surveillance: preliminary findings.
Front Oncol
; 13: 1166047, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37731630
17.
Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings.
Front Oncol
; 12: 841801, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35669420
18.
An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
Lancet Digit Health
; 3(7): e445-e454, 2021 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-34167765
19.
A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI.
EBioMedicine
; 63: 103163, 2021 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-33321450
20.
Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study.
NPJ Precis Oncol
; 5(1): 35, 2021 May 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-33941830