Detalhe da pesquisa
1.
CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma.
AJR Am J Roentgenol;
217(5): 1104-1112, 2021 11.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34467768
2.
Current Status of Radiomics and Deep Learning in Liver Imaging.
J Comput Assist Tomogr;
45(3): 343-351, 2021.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34297507
3.
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.
J Digit Imaging;
33(1): 243-251, 2020 02.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31172331
4.
Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue.
AJR Am J Roentgenol;
213(2): 349-357, 2019 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31012758
5.
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD.
Neuroimage;
102 Pt 1: 207-19, 2014 Nov 15.
Artigo
em Inglês
| MEDLINE
| ID: mdl-24361664
6.
Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping.
Cogn Sci;
47(9): e13347, 2023 09.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37718474
7.
Large-scale pancreatic cancer detection via non-contrast CT and deep learning.
Nat Med;
29(12): 3033-3043, 2023 Dec.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37985692
8.
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data.
IEEE Trans Med Imaging;
41(6): 1346-1357, 2022 06.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34968179
9.
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction.
IEEE Trans Med Imaging;
40(10): 2723-2735, 2021 10.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33600311
10.
Pancreatic Cancer Imaging: A New Look at an Old Problem.
Curr Probl Diagn Radiol;
50(4): 540-550, 2021.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32988674
11.
Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis.
Abdom Radiol (NY);
46(6): 2556-2566, 2021 06.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33469691
12.
Action as an innate bias for visual learning.
Proc Natl Acad Sci U S A;
109(44): 17736-7, 2012 Oct 30.
Artigo
em Inglês
| MEDLINE
| ID: mdl-23091008
13.
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.
IEEE Trans Med Imaging;
39(2): 514-525, 2020 02.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31352338
14.
A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation.
Radiol Artif Intell;
2(6): e190220, 2020 Nov.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33330848
15.
Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls.
Abdom Radiol (NY);
45(8): 2469-2475, 2020 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32372206
16.
Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support.
J Trauma Acute Care Surg;
88(3): 425-433, 2020 03.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32107356
17.
Robust 3D Human Pose Estimation from Single Images or Video Sequences.
IEEE Trans Pattern Anal Mach Intell;
41(5): 1227-1241, 2019 05.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29993907
18.
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
Med Image Anal;
55: 88-102, 2019 07.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31035060
19.
Bayesian generic priors for causal learning.
Psychol Rev;
115(4): 955-84, 2008 Oct.
Artigo
em Inglês
| MEDLINE
| ID: mdl-18954210
20.
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
IEEE Trans Pattern Anal Mach Intell;
40(4): 834-848, 2018 04.
Artigo
em Inglês
| MEDLINE
| ID: mdl-28463186