Detalhe da pesquisa
1.
Texture analysis of T2-weighted MRI predicts SDH mutation in paraganglioma.
Neuroradiology
; 63(4): 547-554, 2021 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-33215243
2.
Development and deployment of a histopathology-based deep learning algorithm for patient prescreening in a clinical trial.
Nat Commun
; 15(1): 4690, 2024 Jun 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-38824132
3.
Accelerating pharmaceutical R&D with a user-friendly AI system for histopathology image analysis.
J Pathol Inform
; 14: 100337, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37860714
4.
Development and validation of a longitudinal soft-tissue metastatic lesion matching algorithm.
Phys Med Biol
; 66(15)2021 07 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-34261045
5.
Prognostic Value of Computed Tomography and/or 18F-Fluorodeoxyglucose Positron Emission Tomography Radiomics Features in Locally Advanced Non-small Cell Lung Cancer.
Clin Lung Cancer
; 22(5): 461-468, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33931316
6.
Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.
World Neurosurg
; 151: e78-e85, 2021 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-33819703
7.
Multi-Field-of-View Deep Learning Model Predicts Nonsmall Cell Lung Cancer Programmed Death-Ligand 1 Status from Whole-Slide Hematoxylin and Eosin Images.
J Pathol Inform
; 10: 24, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31523482
8.
Semi-automated pulmonary nodule interval segmentation using the NLST data.
Med Phys
; 45(3): 1093-1107, 2018 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-29363773
9.
Radiomics-based Assessment of Radiation-induced Lung Injury After Stereotactic Body Radiotherapy.
Clin Lung Cancer
; 18(6): e425-e431, 2017 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-28623121
10.
Impact of experimental design on PET radiomics in predicting somatic mutation status.
Eur J Radiol
; 97: 8-15, 2017 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-29153372
11.
Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation.
PLoS One
; 12(6): e0178944, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28594880
12.
Technical Note: Combination of multiple EPID imager layers improves image quality and tracking performance of low contrast-to-noise objects.
Med Phys
; 44(9): 4847-4853, 2017 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-28636755
13.
Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer.
J Nucl Med
; 58(4): 569-576, 2017 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-27688480
14.
Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer.
Sci Rep
; 7(1): 3519, 2017 06 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-28615677
15.
Applications and limitations of radiomics.
Phys Med Biol
; 61(13): R150-66, 2016 07 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-27269645
16.
Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients.
Front Oncol
; 6: 72, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27066454
17.
Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction.
Phys Med Biol
; 61(2): 906-22, 2016 Jan 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-26738433
18.
Beam's-eye-view imaging during non-coplanar lung SBRT.
Med Phys
; 42(12): 6776-83, 2015 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-26632035
19.
Erratum: Semi-automated pulmonary nodule interval segmentation using the NLST data.
Med Phys
; 45(6): 2689-2690, 2018 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-29894564