Detalhe da pesquisa
1.
Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.
Eur Radiol
; 33(7): 4589-4596, 2023 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-36856841
2.
Contralateral lymph node metastasis in recurrent ipsilateral breast cancer with Lynch syndrome: a locoregional event.
World J Surg Oncol
; 21(1): 40, 2023 Feb 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-36755294
3.
Choi response criteria for prediction of survival in patients with metastatic renal cell carcinoma treated with anti-angiogenic therapies.
Eur Radiol
; 23(3): 632-9, 2013 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-22918564
4.
Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks.
Insights Imaging
; 14(1): 90, 2023 May 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-37199794
5.
Third International Consensus Conference on lesions of uncertain malignant potential in the breast (B3 lesions).
Virchows Arch
; 483(1): 5-20, 2023 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-37330436
6.
Considerations on Baseline Generation for Imaging AI Studies Illustrated on the CT-Based Prediction of Empyema and Outcome Assessment.
J Imaging
; 8(3)2022 Feb 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-35324605
7.
Carcinoma of unknown primary with hepatic metastases: a need of judicious and contemplative diagnostic algorithm.
Abdom Radiol (NY)
; 46(1): 257-267, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32632467
8.
Deep learning-based automated detection of pulmonary embolism on CT pulmonary angiograms: No significant effects on report communication times and patient turnaround in the emergency department nine months after technical implementation.
Eur J Radiol
; 141: 109816, 2021 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-34157638
9.
Improved Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with Synthetically Enhanced Deep Learning.
Radiol Artif Intell
; 2(5): e190217, 2020 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-33937840