Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Todd Hollon(University of Michigan), Daniel A. Orringer(NYU Langone Health), Mitchel S. Berger(University of California, San Francisco), David Reinecke(University of Cologne), John G. Golfinos(NYU Langone Health), Volker Neuschmelting(University Hospital Cologne), Oren Sagher(University of Michigan), Maria Castro(University of California, San Francisco), Shawn L. Hervey‐Jumper(University of California, San Francisco), Cheng Jiang(University of Michigan), Arjun R. Adapa(University of Michigan), Mustafa Nasir-Moin(New York University), Alexander A. Aabedi(University of California, San Francisco), Wajd N. Al‐Holou(University of Michigan), Niklas von Spreckelsen(University Hospital Cologne), Georg Widhalm(Medical University of Vienna), Asadur Chowdury(University of Michigan), Matija Snuderl, Pedro R. Löwenstein(University of Michigan–Ann Arbor), Jason Heth(University of Michigan), Honglak Lee(University of Michigan), Christian W. Freudiger(Invenio Imaging (United States)), Sandra Camelo‐Piragua(University of Michigan), Akhil Kondepudi(University of Michigan)
Cited by 168
Related Papers
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
|Nature Medicine|2020|768
Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy
|Nature Biomedical Engineering|2017|573
Rapid, Label-Free Detection of Brain Tumors with Stimulated Raman Scattering Microscopy
|Science Translational Medicine|2013|510
Modeling Patient-Derived Glioblastoma with Cerebral Organoids
|Cell Reports|2019|482