Michael Dohopolski

University of Texas Southwestern Medical Center

United States

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Articles (17)

Collaborators (6)

Kimmo Kaski

Aalto University

Jing Wang

Associate Professor

University of Texas Southwestern Medical Center

UNITED STATES

Kai Wang

University of Maryland Medical Center

UNITED STATES

Xiao Liang

Assistant professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

Joel Jaskari

Aalto University

Mohamed Naser

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Michael Dohopolski

Research Interests

Explore related searches

Contact this professor

Articles (17)

Collaborators (6)

Kimmo Kaski

Jing Wang

Kai Wang

Xiao Liang

Joel Jaskari

Mohamed Naser

Make your next move.

Michael Dohopolski

Research Interests

Explore related searches

Contact this professor

Articles (17)

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data

Comparative Outcomes of Standard Radiation Therapy and 5-Fraction Adaptive Stereotactic Radiation Therapy in Newly Diagnosed Glioblastoma: A Propensity Score–Matched Analysis

Exploratory Evaluation of Personalized Ultrafractionated Stereotactic Adaptive Radiation Therapy (PULSAR) With Central Nervous System-Active Drugs in Brain Metastases Treatment

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation

Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer

Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework

Harnessing uncertainty in radiotherapy auto-segmentation quality assurance

Efficacy and Quality-of-Life Following Involved Nodal Radiotherapy for Head and Neck Squamous Cell Carcinoma: The INRT-AIR Phase II Clinical Trial

A Proof-of-Concept Study of Artificial Intelligence–assisted Contour Editing

Dose-Intensified Stereotactic Ablative Radiation for Localized Prostate Cancer

Use of deep learning to predict the need for aggressive nutritional supplementation during head and neck radiotherapy

A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy

Attention Guided Lymph Node Malignancy Prediction in Head and Neck Cancer

Exploratory ensemble interpretable model for predicting local failure in head and neck cancer: The additive benefit of CT and intra-treatment cone-beam computed tomography features

Future Directions in the Use of SAbR for the Treatment of Oligometastatic Cancers

Oligometastatic non-small cell lung cancer: A narrative review of stereotactic ablative radiotherapy

PSA-Net: Deep learning–based physician style–aware segmentation network for postoperative prostate cancer clinical target volumes

Collaborators (6)

Kimmo Kaski

Jing Wang

Kai Wang

Xiao Liang

Joel Jaskari

Mohamed Naser

Make your next move.