Detalhe da pesquisa
1.
The impact of induction and/or concurrent chemoradiotherapy on acute and late patient-reported symptoms in oropharyngeal cancer: Application of a mixed-model analysis of a prospective observational cohort registry.
Cancer
; 127(14): 2453-2464, 2021 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-33788956
2.
Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.
Comput Methods Programs Biomed
; 244: 107939, 2024 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-38008678
3.
Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.
Int J Radiat Oncol Biol Phys
; 2024 Mar 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-38462018
4.
Reducing and controlling metabolic active tumor volume prior to CAR T-cell infusion can improve survival outcomes in patients with large B-cell lymphoma.
Blood Cancer J
; 14(1): 41, 2024 Mar 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-38448432
5.
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII.
Insights Imaging
; 15(1): 8, 2024 Jan 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-38228979
6.
Semi-automated 18F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation.
Comput Struct Biotechnol J
; 21: 1102-1114, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36789266
7.
Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images.
Phys Med Biol
; 68(5)2023 02 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-36749988
8.
Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer.
Phys Imaging Radiat Oncol
; 28: 100502, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-38026084
9.
Head and neck cancer predictive risk estimator to determine control and therapeutic outcomes of radiotherapy (HNC-PREDICTOR): development, international multi-institutional validation, and web implementation of clinic-ready model-based risk stratification for head and neck cancer.
Eur J Cancer
; 178: 150-161, 2023 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36442460
10.
Optimized decision support for selection of transoral robotic surgery or (chemo)radiation therapy based on posttreatment swallowing toxicity.
Cancer Med
; 12(4): 5088-5098, 2023 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36229990
11.
Dysphagia and shortness-of-breath as markers for treatment failure and survival in oropharyngeal cancer after radiation.
Radiother Oncol
; 180: 109465, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36640945
12.
Cluster-Based Toxicity Estimation of Osteoradionecrosis via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.
medRxiv
; 2023 Mar 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-37034700
13.
Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas.
Oral Oncol
; 144: 106460, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37390759
14.
Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiotherapy: development of a pre-treatment decision support tool.
Front Oncol
; 13: 1210087, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37614495
15.
CT-based deep multi-label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma.
Med Phys
; 50(10): 6190-6200, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37219816
16.
Population-Based External Validation of the EASIX Scores to Predict CAR T-Cell-Related Toxicities.
Cancers (Basel)
; 15(22)2023 Nov 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-38001703
17.
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
18.
Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network.
Clin Transl Radiat Oncol
; 36: 47-55, 2022 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-35782963
19.
Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data.
Head Neck Tumor Segm Chall (2021)
; 13209: 287-299, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35399868
20.
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images.
Head Neck Tumor Segm Chall (2021)
; 13209: 121-132, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35399869