Marc Niethammer
Scholar

Marc Niethammer

Google Scholar ID: KqtBi6MAAAAJ
Professor of Computer Science, UC San Diego
medical image analysismachine learningimage registration
Citations & Impact
All-time
Citations
8,012
 
H-index
43
 
i10-index
105
 
Publications
20
 
Co-authors
18
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published multiple papers in journals and conferences such as CoRR, medRxiv (Cold Spring Harbor Laboratory), CVPR; developed new deep-learning-based image registration approaches like GradICON.
Research Experience
  • Has extensive research experience in a wide range of topics including brain, cancer, CVPR, deep learning, diffusion, foundation model, histology, ISBI, knee, LDDMM, lung, machine learning, MEDIA, MICCAI, NeurIPS, registration, regression, segmentation, shape, topology, etc.
Background
  • Focuses on the design of computational algorithms to extract quantitative measures from biomedical data and other data sources. Research areas include but are not limited to image processing (e.g., obtained via magnetic resonance imaging, computed tomography, or microscopy), unstructured text, tabular data, and genomics.
Miscellany
  • Collaborates with experts across disciplines including statistics, applied mathematics, radiology, surgery, and epidemiology.