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1.
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging.
Eur Radiol;
31(7): 4960-4971, 2021 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-33052463
2.
Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging.
Eur Radiol;
31(11): 8816, 2021 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-33900434
3.
Industry relationships among authors of U.S. Clinical Practice Guidelines in cardiology from 2014 to 2020.
Heliyon;
9(6): e17309, 2023 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-37389076
4.
Safety and Efficacy of a Novel Approach to Pulmonary Vein Isolation Using Prolonged Apneic Oxygenation.
JACC Clin Electrophysiol;
9(4): 497-507, 2023 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-36752460
5.
Cross-sectional survey of treatments and outcomes among injured adult patients in Kigali, Rwanda.
Afr J Emerg Med;
11(2): 299-302, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-33968606
6.
Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics.
Abdom Radiol (NY);
46(6): 2656-2664, 2021 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33386910
7.
Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.
Korean J Radiol;
22(7): 1213-1224, 2021 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-33739635
8.
Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm.
Sci Rep;
10(1): 19503, 2020 11 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-33177576
9.
Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.
Clin Cancer Res;
26(8): 1944-1952, 2020 04 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-31937619
10.
Trends in Industry Payments to Cardiologists From 2014 to 2019.
Circ Cardiovasc Qual Outcomes;
16(5): e009820, 2023 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-36926947
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