Evan Calabrese at Duke University - Research Interests, Publications & Academic Profile

Evan Calabrese

Assistant Professor

Duke University

United States

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Research Interests

Medical Imaging

100%

Radiology

80%

Brain Tumor

80%

Neuroimaging

70%

Magnetic Resonance Imaging

60%

Tissue Imaging

50%

Tumor Heterogeneity

30%

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Articles14

Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE)

Article Link

Year:

2024

The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset

Article Link

Year:

2024

Automated segmentation of ablated lesions using deep convolutional neural networks: A basis for response assessment following laser interstitial thermal therapy

Article Link

Year:

2024

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset

Article Link

Year:

2024

A Deep Learning Approach for Automated Bone Removal from Computed Tomography Angiography of the Brain

Article Link

Year:

2023

Correlating Quantitative MRI-based Apparent Diffusion Coefficient Metrics with 24-month Neurodevelopmental Outcomes in Neonates from the HEAL Trial

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Year:

2023

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

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Year:

2023

Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer

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Year:

2023

Parieto-Occipital Injury on Diffusion MRI Correlates with Poor Neurologic Outcome following Cardiac Arrest

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Year:

2023

Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm

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Year:

2022

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

Article Link

Year:

2022

Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks

Article Link

Year:

2022

NIMG-67. MULTI-PARAMETRIC MRI-BASED MACHINE LEARNING ANALYSIS FOR PREDICTION OF NEOPLASTIC INFILTRATION AND RECURRENCE IN PATIENTS WITH GLIOBLASTOMA: UPDATES FROM THE MULTI-INSTITUTIONAL RESPOND CONSORTIUM

Article Link

Year:

2022

Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma

Article Link

Year:

2022

Collaborators11

Andreas Rauschecker

Assistant Professor

University of California, San Francisco

UNITED STATES

Hamed Akbari

Assisshtant Professor

Santa Clara University

UNITED STATES

Robert McKinstry

Professor

Washington University

UNITED STATES

Amit Mathur

Professor and Interim Director Division of Neonatal-Perinatal Medicine

Saint Louis University

UNITED STATES

J. Russell Huie

Assistant Prof. Researcher

University of California, San Francisco

UNITED STATES

Michael Caton

Mount Sinai Hospital

UNITED STATES

Suyash Mohan

UNITED STATES

Daniel Orringer

Associate Professor

NYU Langone Health

UNITED STATES

Pierre Nedelec

University of California, San Francisco

UNITED STATES

Spyridon Bakas

Kingston University

UNITED KINGDOM

Christopher Hess

University of California, San Francisco

UNITED STATES

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