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Davood Karimi

Associate Professor

Harvard University

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Articles (20)

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2026

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Collaborators (8)

Jae Won Choi

Clinical Assistant Professor

Seoul National University Hospital

SOUTH KOREA

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Simon Warfield

Professor of Radiology

Boston Children's Hospital

UNITED STATES

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Jurriaan Peters

Harvard University

UNITED STATES

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WEIDE LIU

Harvard University

UNITED STATES

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Ryne Didier

University of Pennsylvania Perelman School of Medicine

UNITED STATES

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Roxane Licandro

Lecturer

TU Wien

AUSTRIA

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Ali Gholipour

Professor

University of California, Irvine

UNITED STATES

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Patricia Grant

Director, FNNDSC

Boston Children's Hospital

UNITED STATES

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Davood Karimi

Research Interests

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Articles (20)

Insights into Temporal and Spatial Dynamics of Short Association Fiber Formation in the Human Fetal Brain

Convolutional neural networks for automatic tuber segmentation and quantification of tuber burden in tuberous sclerosis complex

Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge

FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI

A detailed spatiotemporal atlas of the white matter tracts for the fetal brain

Towards automatic US-MR fetal brain image registration with learning-based methods

LesionSCynth: A simple parametric lesion synthesis method to improve spinal cord lesion segmentation in low-data scenarios.

Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction

Deep Learning for fODF Estimation in Infant Brains: Model Comparison, Ground-Truth Impact, and Domain Shift Mitigation

Detailed delineation of the fetal brain in diffusion MRI via multi-task learning

Equivariant spherical CNNs for accurate fiber orientation distribution estimation in neonatal diffusion MRI with reduced acquisition time

Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains

HAITCH: A framework for distortion and motion correction in fetal multi-shell diffusion-weighted MRI

Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI

Regional Changes in the Fetal Telencephalic Wall Diffusion Metrics Across Late Second and Third Trimesters

Streamline tractography of the fetal brain in utero with machine learning

White Matter Tract Crossing and Bottleneck Regions in the Fetal Brain

Anatomically constrained tractography of the fetal brain

Advances in Fetal Brain Imaging

An Approach to Building Foundation Models for Brain Image Analysis

Collaborators (8)

Jae Won Choi

Simon Warfield

Jurriaan Peters

WEIDE LIU

Ryne Didier

Roxane Licandro

Ali Gholipour

Patricia Grant

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