Detalhe da pesquisa
1.
Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans.
Gastroenterology
; 165(6): 1533-1546.e4, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37657758
2.
Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis.
Gastroenterology
; 163(5): 1435-1446.e3, 2022 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-35788343
3.
Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs.
Pancreatology
; 23(5): 522-529, 2023 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-37296006
4.
Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods.
Abdom Radiol (NY)
; 49(3): 964-974, 2024 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38175255
5.
Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept study.
Abdom Radiol (NY)
; 47(11): 3806-3816, 2022 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-36085379
6.
Integrating soft and hard dose-volume constraints into hierarchical constrained IMRT optimization.
Med Phys
; 47(2): 414-421, 2020 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-31742731
7.
Radiomics for Detection of Pancreas Adenocarcinoma on CT Scans: Impact of Biliary Stents.
Radiol Imaging Cancer
; 4(1): e210081, 2022 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34939849