Detalhe da pesquisa
1.
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning.
Commun Med (Lond)
; 4(1): 110, 2024 Jun 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-38851837
2.
Dataset of weekly intra-treatment diffusion weighted imaging in head and neck cancer patients treated with MR-Linac.
Sci Data
; 11(1): 487, 2024 May 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-38734679
3.
Prognostic value of tumor volume doubling time in lung-metastatic adenoid cystic carcinoma.
Oral Oncol
; 151: 106759, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38507991
4.
Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping Review.
medRxiv
; 2024 May 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-38798581
5.
Comparison of Machine Leaning Models for Prediction of Acute Pain Severity and On-Treatment Opioid Utilization in Oral Cavity and Oropharyngeal Cancer Patients Receiving Radiation Therapy: Exploratory Analysis from a Large-Scale Retrospective Cohort.
medRxiv
; 2024 Feb 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-38370746
6.
Investigation of autosegmentation techniques on T2-weighted MRI for off-line dose reconstruction in MR-linac workflow for head and neck cancers.
Med Phys
; 51(1): 278-291, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-37475466
7.
Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation.
JCO Clin Cancer Inform
; 8: e2300174, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38870441
8.
Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases.
Front Oncol
; 13: 1120392, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36925936
9.
Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case.
medRxiv
; 2023 Feb 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-36865296
10.
E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation.
J Med Imaging (Bellingham)
; 10(Suppl 1): S11903, 2023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-36761036
11.
Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment.
medRxiv
; 2023 Aug 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-37645931
12.
Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study.
Radiother Oncol
; 183: 109641, 2023 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36990394
13.
Artificial Intelligence and Machine Learning in Cancer Related Pain: A Systematic Review.
medRxiv
; 2023 Dec 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-38105979
14.
Quality assurance assessment of intra-acquisition diffusion-weighted and T2-weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy.
Med Phys
; 50(4): 2089-2099, 2023 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-36519973
15.
Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites.
Sci Data
; 10(1): 161, 2023 03 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-36949088
16.
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer.
JAMA Netw Open
; 6(8): e2328280, 2023 08 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-37561460
17.
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline.
medRxiv
; 2023 Mar 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36945519
18.
Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5T MR-linear-accelerator: a prospective R-IDEAL stage 0-2a quantitative/qualitative evaluation of in vivo site-specific quality-assurance using a 3D T2 fat-suppressed platform for head and neck cancer.
J Med Imaging (Bellingham)
; 10(6): 065501, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37937259
19.
Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation.
medRxiv
; 2023 Sep 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37693394
20.
Temporal characterization of acute pain and toxicity kinetics during radiation therapy for head and neck cancer. A retrospective study.
Oral Oncol Rep
; 72023 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-38638130