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1.
RNA2DNAlign: nucleotide resolution allele asymmetries through quantitative assessment of RNA and DNA paired sequencing data.
Nucleic Acids Res
; 44(22): e161, 2016 12 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-27576531
2.
Markov models for clinical decision-making in radiation oncology: A systematic review.
J Med Imaging Radiat Oncol
; 2024 May 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-38766899
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-38462018
4.
Dysphagia and shortness-of-breath as markers for treatment failure and survival in oropharyngeal cancer after radiation.
Radiother Oncol
; 180: 109465, 2023 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36640945
5.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-37034700
6.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-36519973
7.
Temporal characterization of acute pain and toxicity kinetics during radiation therapy for head and neck cancer. A retrospective study.
Oral Oncol Rep
; 72023 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-38638130
8.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-35399868
9.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-35399869
10.
Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma.
Head Neck Tumor Segm Chall (2021)
; 13209: 300-307, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35399870
11.
Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry.
Clin Transl Radiat Oncol
; 32: 6-14, 2022 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-34765748
12.
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer.
Front Oncol
; 12: 930432, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35965493
13.
Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer.
Sci Data
; 9(1): 470, 2022 08 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-35918336
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