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Radiomics in head and neck cancer: from exploration to application

Translational cancer research, 2016-08, Vol.5 (4), p.371-382

2016

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Meta-analysis of diffusion-weighted imaging for predicting locoregional failure of chemoradiotherapy in patients with head and neck squamous cell carcinoma

Molecular and clinical oncology, 2018-01, Vol.8 (1), p.197-203

2018

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Association between tumor architecture derived from generalized Q-space MRI and survival in glioblastoma

Oncotarget, 2017-06, Vol.8 (26), p.41815-41826

2017

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Metabolic interrogation as a tool to optimize chemotherapeutic regimens

Oncotarget, 2017-03, Vol.8 (11), p.18154-18165

2017

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Real-world applications of deep convolutional neural networks in diagnostic cancer imaging

Chinese Clinical Oncology, 2020-12, Vol.9 (6), p.82-82

2020

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Correlation of Circulating Tumor Cell Measurements with 3D Quantitative Tumor Characterization to Predict Clinical Outcomes in Cancer

Methods in molecular biology (Clifton, N.J.), 2021, Vol.2174, p.135

2021

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Evaluation of programmed death ligand 1 expression in cytology to determine eligibility for immune checkpoint inhibitor therapy in patients with head and neck squamous cell carcinoma

Cancer cytopathology, 2022-02, Vol.130 (2), p.110-119

2022

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Career Development in Academic Radiation Oncology

1st Edition 2021, 2021

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Spatial habitats from multiparametric MR imaging are associated with signaling pathway activities and survival in glioblastoma

Oncotarget, 2017-12, Vol.8 (68), p.112992-113001

2017

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Temporal characterization of acute pain and toxicity kinetics during radiation therapy for head and neck cancer. A retrospective study

Oral Oncology Reports, 2023-09, Vol.7, p.100092, Article 100092

2023

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A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography

Translational cancer research, 2020-08, Vol.9 (8), p.4726-4738

2020

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Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes

25th International Database Engineering & Applications Symposium, 2021, Vol.2021, p.273-279

2021

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Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data

Head and Neck Tumor Segmentation and Outcome Prediction, 2022, Vol.13209, p.287-299

2022

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Treatment-Plan Comparison of Three Advanced Radiation Treatment Modalities for Fractionated Stereotactic Radiotherapy to the Head and Neck

International journal of medical physics, clinical engineering and radiation oncology, 2019, Vol.8 (2), p.106-120

2019

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Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo

2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC), 2015, p.1-2

2015

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Artificial intelligence in radiation oncology treatment planning: a brief overview

Journal of Medical Artificial Intelligence, 2019-05, Vol.2, p.9-9

2019

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“A map is not the territory”: Evaluation of hardware modification, educational intervention, and software feedback for radiotherapy target volume delineation

Fuller, Clifton David

2011

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Identifying and Utilizing Mentors

Career Development in Academic Radiation Oncology, p.91-105

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Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients

2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), 2023, Vol.2023, p.292-300

2023

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The essence of R in head and neck cancer: Role of radiomics and radiogenomics from a radiation oncology perspective

Radiomics and Radiogenomics, 2019, p.265-282

1, 2019

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Head and Neck

Oncologic Emergency Medicine, p.247-257

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Radiotherapy Considerations and Strategic Approaches in Phase I Trials

Phase I Oncology Drug Development, 2020, p.283-296

2020

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Nasopharyngeal Cancer

The American Cancer Society's Oncology in Practice, 2018, p.218-223

2018

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Ultra-small superparamagnetic iron oxide (USPIO) magnetic resonance imaging in benign mixed tumor of the parotid gland

Clinical case reports, 2021, Vol.9 (1), p.123-127

2021

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Larynx Cancer

The American Cancer Society's Oncology in Practice, 2018, p.201-210

2018

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Radiomics in head and neck cancer: from exploration to application

Meta-analysis of diffusion-weighted imaging for predicting locoregional failure of chemoradiotherapy in patients with head and neck squamous cell carcinoma

Association between tumor architecture derived from generalized Q-space MRI and survival in glioblastoma

Metabolic interrogation as a tool to optimize chemotherapeutic regimens

Real-world applications of deep convolutional neural networks in diagnostic cancer imaging

Correlation of Circulating Tumor Cell Measurements with 3D Quantitative Tumor Characterization to Predict Clinical Outcomes in Cancer

Evaluation of programmed death ligand 1 expression in cytology to determine eligibility for immune checkpoint inhibitor therapy in patients with head and neck squamous cell carcinoma

Career Development in Academic Radiation Oncology

Spatial habitats from multiparametric MR imaging are associated with signaling pathway activities and survival in glioblastoma

Temporal characterization of acute pain and toxicity kinetics during radiation therapy for head and neck cancer. A retrospective study

A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography

Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes

Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data

Treatment-Plan Comparison of Three Advanced Radiation Treatment Modalities for Fractionated Stereotactic Radiotherapy to the Head and Neck

Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo

Artificial intelligence in radiation oncology treatment planning: a brief overview

“A map is not the territory”: Evaluation of hardware modification, educational intervention, and software feedback for radiotherapy target volume delineation

Identifying and Utilizing Mentors

Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients

The essence of R in head and neck cancer: Role of radiomics and radiogenomics from a radiation oncology perspective

Head and Neck

Radiotherapy Considerations and Strategic Approaches in Phase I Trials

Nasopharyngeal Cancer

Ultra-small superparamagnetic iron oxide (USPIO) magnetic resonance imaging in benign mixed tumor of the parotid gland

Larynx Cancer

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