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.
Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.
Eur Radiol
; 32(7): 4868-4878, 2022 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-35147776
3.
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
4.
Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle.
Clin Imaging
; 95: 28-36, 2023 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-36603416
5.
Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network.
Diagnostics (Basel)
; 12(6)2022 May 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35741157
6.
Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?
Diagnostics (Basel)
; 12(1)2022 Jan 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-35054348
7.
BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network.
Diagnostics (Basel)
; 12(7)2022 Jun 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-35885470
8.
Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification.
Eur Radiol Exp
; 6(1): 30, 2022 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-35854186
9.
Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study.
Heliyon
; 7(7): e07577, 2021 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-34386617
10.
Classification of Mammographic Breast Microcalcifications Using a Deep Convolutional Neural Network: A BI-RADS-Based Approach.
Invest Radiol
; 56(4): 224-231, 2021 04 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33038095
11.
Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach.
Medicine (Baltimore)
; 99(29): e21243, 2020 Jul 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-32702902
12.
Hydrogel Nanofilaments via Core-Shell Electrospinning.
PLoS One
; 10(6): e0129816, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26091487
13.
Correction: Hydrogel Nanofilaments via Core-Shell Electrospinning.
PLoS One
; 10(7): e0133458, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26193367