Detalhe da pesquisa
1.
Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images.
Sci Rep
; 14(1): 4678, 2024 02 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-38409252
2.
Analysis and prediction of liver volume change maps derived from computational tomography scans acquired pre- and post-radiation therapy.
Phys Med Biol
; 68(20)2023 10 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-37714187
3.
Development and validation of a population-based anatomical colorectal model for radiation dosimetry in late effects studies of survivors of childhood cancer.
Radiother Oncol
; 176: 118-126, 2022 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-36063983
4.
Body region-specific 3D age-scaling functions for scaling whole-body computed tomography anatomy for pediatric late effects studies.
Biomed Phys Eng Express
; 8(2)2022 02 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34874300
5.
Radiation therapy related cardiac disease risk in childhood cancer survivors: Updated dosimetry analysis from the Childhood Cancer Survivor Study.
Radiother Oncol
; 163: 199-208, 2021 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34454975
6.
Development of an age-scalable 3D computational phantom in DICOM standard for late effects studies of childhood cancer survivors.
Biomed Phys Eng Express
; 6(6)2020 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34584772
7.
Development and validation of an age-scalable cardiac model with substructures for dosimetry in late-effects studies of childhood cancer survivors.
Radiother Oncol
; 153: 163-171, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-33075392