Scholar
Lucas C. Parra
Google Scholar ID: -4BM5pwAAAAJ
Professor of Biomedical Engineering, City College of New York, CUNY
applied neuroscience
brain stimulation
signal processing
medical imaging
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
12,343
H-index
61
i10-index
145
Publications
20
Co-authors
61
list available
Contact
Email
parra@ccny.cuny.edu
Twitter
Open ↗
Publications
1 items
Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release
2025
Cited
0
Resume
Academic Achievements
Developed a state-of-the-art AI foundation model trained on 60,000 breast MRIs capable of detecting cancer one year in advance
Work published in Radiology:AI and highlighted by Science Magazine and other media
Published in Brain Stimulation (2022) on robust enhancement of motor sequence learning with 4mA tES
2024 study demonstrated AI-based early detection of breast cancer in screening MRI one year earlier
2024 Cell Reports paper on bidirectional brain-body interactions
Best Poster Award at the 2022 International Mind, Brain and Education Society Conference
Research featured by the Radiological Society of North America (RSNA)
Breast cancer detection work highlighted by CUNY Chancellor in 2025 State of the University address
Research Experience
Principal investigator of the Parra Lab at The City College of New York (CCNY), CUNY
Leads research in brain-machine interfaces, neural engineering, and AI applications in medical imaging
PI of a 5-year NIH R01 grant studying effects of electrical brain stimulation on motor learning
Leads a 3-year NSF-funded project on remote video-based instruction
Conducts AI-driven research on breast MRI for tumor segmentation, diagnosis, and risk prediction
Co-authors
5 total
Paul Sajda
Columbia University
Barak A. Pearlmutter
Dept of Computer Science, Maynooth University
Michael Milham
Child Mind Institute, Nathan Kline Institute
Klaus-Robert Müller
TU Berlin & Korea University & Google DeepMind & Max Planck Institute for Informatics, Germany
Stefan Haufe
Technische Universität Berlin, Physikalisch-Technische Bundesanstalt, Charité - Universitätsmedizin