Detalhe da pesquisa
1.
PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation.
J Biomed Inform
; 150: 104583, 2024 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-38191010
2.
Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning.
Eur J Nucl Med Mol Imaging
; 50(4): 1034-1050, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36508026
3.
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness.
J Digit Imaging
; 35(3): 469-481, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35137305
4.
DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms.
Neuroimage
; 245: 118697, 2021 12 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-34742941
5.
Utilizing Artificial Intelligence to Manage COVID-19 Scientific Evidence Torrent with Risklick AI: A Critical Tool for Pharmacology and Therapy Development.
Pharmacology
; 106(5-6): 244-253, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33910199
6.
Information Retrieval in an Infodemic: The Case of COVID-19 Publications.
J Med Internet Res
; 23(9): e30161, 2021 09 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-34375298
7.
Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study.
Patterns (N Y)
; 4(3): 100689, 2023 Mar 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-36960445
8.
Multi-institutional PET/CT image segmentation using federated deep transformer learning.
Comput Methods Programs Biomed
; 240: 107706, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37506602
9.
Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework.
Clin Nucl Med
; 47(7): 606-617, 2022 Jul 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35442222
10.
Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance.
Front Digit Health
; 3: 745674, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34796360