Bennett Landman

Has grant

Professor

Vanderbilt University

United States

Research Interests

Explore related searches

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

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Bennett Landman is a faculty member at Vanderbilt University, USA. His research focuses on medical imaging, brain structure and function, and the relationship between body composition and health outcomes. Recent publications include studies on microstructural characterization of brain matter, health conditions associated with dementia, and the application of artificial intelligence in body composition assessment. His work contributes significantly to the fields of neuroscience and imaging technology.

Recent Grants

Grant: Close

Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRI

Open Date: 2015-09-21

Close Date: 2019-05-31

Grant: Close

CAREER: Modeling Personalized Brain Development with Big Data

Open Date: 2015-02-01

Close Date: 2020-01-31

Grant: Close

Quantitative Image Analysis Techniques for Optic Nerve Disease

Open Date: 2013-12-01

Close Date: 2015-11-30

Grant: Close

Resource Development for the Java Image Science Toolkit

Open Date: 2010-09-30

Close Date: 2012-09-29

Articles (13)

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (16)

Zhaohua Ding

Research Professor

Vanderbilt University

UNITED STATES

Bennett Landman

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (13)

Microstructural Characterization of Short Association Fibers Related to Long‐Range White Matter Tracts in Normative Development

Higher skeletal muscle mitochondrial oxidative capacity is associated with preserved brain structure up to over a decade

Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure

Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective

AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation

Health Conditions Associated with Alzheimer's Disease and Vascular Dementia

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

Rapid Interactions of Widespread Brain Networks Characterize Semantic Cognition

Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection

Whole-brain, gray, and white matter time-locked functional signal changes with simple tasks and model-free analysis

The Medical Segmentation Decathlon

Behavioral and brain anatomical analysis of Foxg1 heterozygous mice

Collaborators (16)

Zhaohua Ding

Michela Antonelli

Mathias Perslev

Victoria L. Morgan

Yuankai Huo

Jess Reynolds

Deborah Dewey

John Carr

Catherine Lebel

Maxime Chamberland

Yurui Gao

M. Jorge Cardoso

Bjoern Menze

Xin Yu

Spyridon Bakas

Warren Taylor

Make your next move.