Work

A robust and interpretable deep learning framework for multi-modal registration via keypoints

Year: 2023

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2023.102962

Authors: Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu

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

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Institute on Aging, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine

Awards: NeuroNex Technology Hub: Optical technologies for large scale, noninvasive recording of neural activity, G2058387751, 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, G6671297155, Deep Learning Algorithms for FreeSurfer, G9000008748, FreeSurfer Development, Maintenance, and Hardening, Diagnosing the undiagnosable: studies of Alzheimer disease mimics and confounders via "neuropathometry" of dissection photos with 3D scanning

OpenAlex ID: W4386647109

FWCI: 3.395

Cites: 76

Cited by: 40

Related to: 10