Detalhe da pesquisa
1.
Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.
J Appl Clin Med Phys
; 24(12): e14131, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37670488
2.
Dosimetric impact and detectability of multi-leaf collimator positioning errors on Varian Halcyon.
J Appl Clin Med Phys
; 20(8): 47-55, 2019 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-31294923
3.
A snapshot of medical physics practice patterns.
J Appl Clin Med Phys
; 19(6): 306-315, 2018 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-30272385
4.
Cost-effective immobilization for whole brain radiation therapy.
J Appl Clin Med Phys
; 18(4): 116-122, 2017 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-28585732
5.
Fully-automated, CT-only GTV contouring for palliative head and neck radiotherapy.
Sci Rep
; 13(1): 21797, 2023 12 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-38066074
6.
Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers.
Med Phys
; 50(11): 6639-6648, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37706560
7.
Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images.
Sci Rep
; 12(1): 19093, 2022 11 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-36351987
8.
Technical Note: Dose prediction for head and neck radiotherapy using a three-dimensional dense dilated U-net architecture.
Med Phys
; 48(9): 5567-5573, 2021 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-34157138
9.
Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow.
Comput Med Imaging Graph
; 90: 101907, 2021 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-33845433
10.
Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach.
Int J Radiat Oncol Biol Phys
; 109(3): 801-812, 2021 03 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33068690