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Lung Cancer (Amsterdam, Netherlands)|May 21, 2020
Propensity score adjusted analysis of patients with isolated locoregional recurrence versus de novo locally advanced NSCLC treated with definitive therapyCole Friedes, Nicholas Mai, Wei Fu, et al.
Radiation Oncology (London, England)|July 31, 2019
Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glandsKhadija Sheikh, Sang Ho Lee, Zhi Cheng, et al.
Medical Physics|February 16, 2018
Practical data collection and extraction for big data applications in radiotherapyTodd R McNutt, Michael Bowers, Zhi Cheng, et al.
Advances in Radiation Oncology|July 4, 2025
Esophageal Circumferential Dose-Length Histogram Parameters to Predict Dysphagia in Patients Receiving Thoracic Radiation Therapy: A Single-Institution ExperienceAndrea Brown, Chen Hu, Suqi Ke, et al.
JMIR Research Protocols|October 24, 2023
Applying AI and Guidelines to Assist Medical Students in Recognizing Patients With Heart Failure: Protocol for a Randomized TrialHyeon Joo, Michael R Mathis, Marty Tam, et al.
JMIR Medical Informatics|August 31, 2022
Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and ValidationPeijin Han, Sunyang Fu, Julie Kolis, et al.
Clinical Lung Cancer|July 7, 2020
Consolidative Radiotherapy in Oligometastatic Lung Cancer: Patient Selection With a Prediction NomogramCole Friedes, Nicholas Mai, Sarah Hazell, et al.
Cancer Causes & Control : CCC|March 3, 2019
Dietary choline and betaine intakes and risk of total and lethal prostate cancer in the Atherosclerosis Risk in Communities (ARIC) StudyPeijin Han, Aurelian Bidulescu, John R Barber, et al.
Advances in Radiation Oncology|April 24, 2019
Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck CancerWei Jiang, Pranav Lakshminarayanan, Xuan Hui, et al.
Physics in Medicine and Biology|April 3, 2020
Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapySang Ho Lee, Peijin Han, Russell K Hales, et al.
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