Part of the Data Science Commons

Works in Data Science

2023

The Development of Artificial Intelligence-Based Tools for Expert Peer Review of Radiotherapy Treatment Plans, Mary Gronberg
Dissertations and Theses (Open Access)

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Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline for Oropharyngeal Cancer Radiotherapy Treatment Guidance, Kareem Wahid
Dissertations and Theses (Open Access)

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DeepHTLV: a Deep Learning Framework for Detecting Human T-Lymphotrophic Virus 1 Integration Sites, Johnathan Jia, Johnathan Jia
Dissertations and Theses (Open Access)

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Automating the Radiation Therapy Treatment Planning Process for Pediatric Patients with Medulloblastoma, Soleil Hernandez
Dissertations and Theses (Open Access)

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2022

Leveraging single cell technologies for the characterization and treatment of refractory pancreatic cancer, Maria Monberg
Dissertations and Theses (Open Access)

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Modeling of CNS Cancer with a Focus on the Immune Component, Daniel Zamler
Dissertations and Theses (Open Access)

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2021

A FULLY-AUTOMATED, DEEP LEARNING-BASED FRAMEWORK FOR CT-BASED LOCALIZATION, SEGMENTATION, VERIFICATION AND PLANNING OF METASTATIC VERTEBRAE, Tucker Netherton, Tucker James Netherton
Dissertations and Theses (Open Access)

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IMPROVING TREATMENT OF LOCAL LIVER ABLATION THERAPY WITH DEEP LEARNING AND BIOMECHANICAL MODELING, Brian Anderson, Kristy Brock, Laurence Court, Carlos Eduardo Cardenas, Erik Cressman, Ankit Patel
Dissertations and Theses (Open Access)

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2020

Statistical Methods for Resolving Intratumor Heterogeneity with Single-Cell DNA Sequencing, Alexander Davis
Dissertations and Theses (Open Access)

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Development of fully balanced SSFP and computer vision applications for MRI-assisted radiosurgery (MARS), Jeremiah Sanders
Dissertations and Theses (Open Access)

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