Work

End-to-End Cortical Surface Reconstruction from Clinical Magnetic Resonance Images

Year: 2026

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-032-09513-8_21

Authors: Jesper Duemose Nielsen, Karthik Gopinath, Andrew Hoopes, Adrian Dalca, Colin Magdamo, Steven Arnold, Sudeshna Das, Axel Thielscher, Juan Eugenio Iglesias, Oula Puonti

Institutions: Amager Hospital, Copenhagen University Hospital, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Harvard University, Technical University of Denmark, University College London

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: European Commission, Deutsche Forschungsgemeinschaft, Lundbeckfonden, H. Lundbeck A/S, National Institutes of Health, HORIZON EUROPE Framework Programme, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: Acquisition-independent machine learning for morphometric analysis of underrepresented aging populations with clinical and low-field brain MRI, G2863139469, G3763542640, Open-source software for multi-scale mapping of the human brain, An open software solution to integrate non-invasive brain stimulation with functional imaging data, G708483158, Functionally guided adult whole brain cell atlas in human and NHP, Portable, Low Field Brain Magnetic Resonance Imaging (MRI) for Acute Stroke, Harnessing Diverse Bioinformatic Approaches To Repurpose Drugs For Alzheimers Disease And Related Dementias, Diagnosing the undiagnosable: studies of Alzheimer disease mimics and confounders via "neuropathometry" of dissection photos with 3D scanning

OpenAlex ID: W7118014426

FWCI:

Cites: 35

Cited by:

Related to: 10