Deukwoo Kwon

Associate Professor

The University of Texas Health Science Center at Houston

United States

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Dr. Deukwoo Kwon is an Associate Professor at The University of Texas Health Science Center at Houston, United States. His research areas include prostate cancer treatment, surveillance imaging in brain metastasis, and the application of deep learning in oncology. Recent publications focus on novel methodologies to enhance patient outcomes and optimize treatment protocols in urologic and oncologic settings.

Articles (9)

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2025

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (5)

Julia Fritsch Underwood

University of Miami

UNITED STATES

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Juan Pablo Alderuccio

UNITED STATES

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William Jin

Assistant Professor

University of Miami Health System

UNITED STATES

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Izidore S. Lossos

University of Miami Miller School of Medicine

UNITED STATES

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Chi Chen

University of Minnesota

UNITED STATES

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Deukwoo Kwon

Research Interests

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Articles (9)

Stimulating Soluble Guanylyl Cyclase with the Clinical Agonist Riociguat Restrains the Development and Progression of Castration-Resistant Prostate Cancer

A Smart Water Bottle and Companion App (HidrateSpark 3) to Improve Bladder-Filling Compliance in Patients With Prostate Cancer Receiving Radiotherapy: Nonrandomized Trial of Feasibility and Acceptability

Frequentist model averaging for analysis of dose–response in epidemiologic studies with complex exposure uncertainty

Survival and Yield of Surveillance Imaging in Long-Term Survivors of Brain Metastasis Treated with Stereotactic Radiosurgery

A Deep Learning-Aided Automated Method for Calculating Metabolic Tumor Volume in Diffuse Large B-Cell Lymphoma

Predictors of Local Recurrence and Progression-Free Survival in Iodine-125 Brachytherapy-Treated Uveal Melanomas: A Modern Institutional Study

Low-Fat, High-Fiber Diet Reduces Markers of Inflammation and Dysbiosis and Improves Quality of Life in Patients With Ulcerative Colitis

ABCMETAapp: R shiny application for simulation‐based estimation of mean and standard deviation for meta‐analysis via approximate Bayesian computation

Surveillance Intensity in Intermediate Risk Nonmuscle Invasive Bladder Cancer: Revisiting the Optimal Timing and Frequency of Cystoscopy

Collaborators (5)

Julia Fritsch Underwood

Juan Pablo Alderuccio

William Jin

Izidore S. Lossos

Chi Chen

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