Todd Hollon

University of Michigan

United States

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Articles (18)

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2025

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2025

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2022

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2022

Collaborators (13)

Sandra Camelopiragua

University of Michigan

UNITED STATES

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Saritha Krishna Lalitha Kumari Krishnan Nair

Assistant Adjunct Professor

University of California, San Francisco

UNITED STATES

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Mustafa Nasir-Moin

NYU School of Medicine

UNITED STATES

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Andrew Smith

Macquarie University

AUSTRALIA

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Shawn L. Hervey‐Jumper

UNITED STATES

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Eric Suero Molina

Macquarie University

AUSTRALIA

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Corey W. Speers

University of Michigan

UNITED STATES

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Alexander Cheung

Barrow Neurological Institute

UNITED STATES

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Georg Widhalm

Medical University of Vienna

AUSTRIA

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Daniel Orringer

Associate Professor

NYU Langone Health

UNITED STATES

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Aditya Pandey

University of Michigan

UNITED STATES

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Hoon Kim

Associate Professor

SOUTH KOREA

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Siri Sahib Khalsa

Assistant Professor, Clinical

Ohio State University

UNITED STATES

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Todd Hollon

Research Interests

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Articles (18)

Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning

Fast intraoperative detection of primary central nervous system lymphoma and differentiation from common central nervous system tumors using stimulated Raman histology and deep learning

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

Foundation models for fast, label-free detection of glioma infiltration

Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohort

Localization of protoporphyrin IX during glioma-resection surgery via paired stimulated Raman histology and fluorescence microscopy

Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters

Super-resolution of biomedical volumes with 2D supervision

Combined cytotoxic and immune-stimulatory gene therapy for primary adult high-grade glioma: a phase 1, first-in-human trial

A comparison of ventricular volume and linear indices in predicting shunt dependence in aneurysmal subarachnoid hemorrhage

Corrigendum to “Ventricular Volume Change as a Predictor of Shunt-Dependent Hydrocephalus in Aneurysmal Subarachnoid Hemorrhage” [World Neurosurgery (2022) 17880]

Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis

Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

Using AI to improve the molecular classification of brain tumors.

Methods and Impact for Using Federated Learning to Collaborate on Clinical Research.

Subclonal evolution and expansion of spatially distinct THY1-positive cells is associated with recurrence in glioblastoma

Generating novel pituitary datasets from open-source imaging data and deep volumetric segmentation

Perigeniculate Giant Cell Tumor of Temporal Bone.

Collaborators (13)

Sandra Camelopiragua

Saritha Krishna Lalitha Kumari Krishnan Nair

Mustafa Nasir-Moin

Andrew Smith

Shawn L. Hervey‐Jumper

Eric Suero Molina

Corey W. Speers

Alexander Cheung

Georg Widhalm

Daniel Orringer

Aditya Pandey

Hoon Kim

Siri Sahib Khalsa

Make your next move.