Work

Learning-Based Optimization of the Under-Sampling Pattern in MRI

Year: 2019

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-20351-1_61

Authors: Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu

Institutions: Cornell University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Science Foundation, US-UK Fulbright Commission, National Institutes of Health, National Institute on Aging, U.S. National Library of Medicine

Awards: NeuroNex Technology Hub: Optical technologies for large scale, noninvasive recording of neural activity, CAREER: New Learning-based Algorithms for the Analysis of Very-Large-Scale Neuroimaging Data, Novel Bioinformatics Strategies to Study Associations Between Genetic Variants and Neuroanatomical Shape, Advanced machine learning algorithms that integrate genomewide, longitudinal MRI and demographic data to predict future cognitive decline toward dementia, G5520316217, G6671297155

OpenAlex ID: W2950375307

FWCI: 20.62

Cites: 83

Cited by: 81

Related to: 10