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1.
Zone-specific computer-aided diagnosis system aimed at characterizing ISUP ≥ 2 prostate cancers on multiparametric magnetic resonance images: evaluation in a cohort of patients on active surveillance.
World J Urol
; 41(12): 3527-3533, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-37845554
2.
Lifetime and baseline alcohol intakes and risk of pancreatic cancer in the European Prospective Investigation into Cancer and Nutrition study.
Int J Cancer
; 143(4): 801-812, 2018 08 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-29524225
3.
Performance of a Region of Interest-based Algorithm in Diagnosing International Society of Urological Pathology Grade Group ≥2 Prostate Cancer on the MRI-FIRST Database-CAD-FIRST Study.
Eur Urol Oncol
; 2024 Mar 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-38493072
4.
Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? - A systematic review.
Diagn Interv Imaging
; 104(5): 221-234, 2023 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-36517398
5.
Characterization of high-grade prostate cancer at multiparametric MRI using a radiomic-based computer-aided diagnosis system as standalone and second reader.
Diagn Interv Imaging
; 104(10): 465-476, 2023 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-37345961
6.
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans.
Med Image Anal
; 77: 102347, 2022 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-35085952
7.
Detection of ISUP ≥2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to the PI-RADS V.2.1 score (CHANGE study).
BMJ Open
; 12(2): e051274, 2022 Feb 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35140147
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