Welcome to the Machine Learning in Neurosurgery Laboratory at Michigan Medicine

The MLiNS Lab, led by Dr. Todd Hollon, works at the intersection of AI, biomedical research, and clinical medicine. The applications of AI in medicine have grown tremendously over the previous decade. AI systems are now being used for early cancer detection, computer-aided diagnosis, automated tumor localization, and personalized treatment recommendations. Our group aims to translate the latest advances in AI, machine learning, and computer science to improve the diagnosis and treatment of patients with neurological and neurosurgical diseases.

Lab News

November 2024

We introduce FastGlioma, a visual foundation model enabling rapid, accurate detection of brain tumor infiltration during surgery, published in Nature and featured on the NIH Director's Blog! An interactive demo can be found here.

June 2024

Todd Hollon is awarded the Innovative Multidisciplinary Research Pilot Award by the UM Frankel Institute for Heart and Brain Health!

February 2024

Congratulations to Samir for winning the Kuntz award at Spine Summit and being nominated for the Whitecloud Award at IMAST! SpinePose is now available on JNS Spine!

December 2023

Congrats to Cheng for receiving his F31!

November 2023

Congratulations to Akhil for receiving the Neurosurgery Award at the SNO Annual Meeting!

August 2023

Congrats to Akhil for his admission into the UM MSTP program and the white coat ceremony!

August 2023

Congrats to Lisa for her admission into the UM medical school and the white coat ceremony!

June 2023

MLiNS lab presented HiDisc at CVPR 2023!

May 2023

Samir receives the MICHR NIH T32 Award to support his dedicated research year.

March 2023

We introduce DeepGlioma, the first AI-based molecular classification system for diffuse gliomas. Check out the paper featured in Nature Medicine!

January 2023

Exciting news from the MLiNS Lab and collaborators! Big thanks to the Chan Zuckerberg Initiative for awarding our group the Advancing Imaging Through Collaborative Projects Award.

December 2022

MLiNS lab presented OpenSRH at NeurIPS 2022!

February 2022

Abhishek is awarded the NIH T35 Short Term Training Grant for Medical Students!

Research

Optical Imaging

Machine Learning + Computer Vision

Augmenting Intraoperative Pathology

Predicting Patient Outcomes

Glioma Oncostreams

Automated brain segmentation

Featured Publications

NATURE | 2024

Foundation models for fast, label-free detection of glioma infiltration

Akhil Kondepudi, Melike Pekmezci, Xinhai Hou, Katie Scotford, Cheng Jiang, Akshay Rao, Edward Harake, Asadur Chowdury, Wajd Al-Holou, Lin Wang, Aditya Pandey, Pedro Lowenstein, Maria Castro, Lisa Koerner, Thomas Roetzer-Pejrimovsky, Georg Widhalm, Sandra Camelo-Piragua, Misha Movahed-Ezazi, Daniel Orringer, Honglak Lee, Christian Freudiger, Mitchel Berger, Shawn Hervey-Jumper, and Todd Hollon

Interactive Demo Paper GitHub HuggingFace

CVPR | 2023

Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy

Cheng Jiang^*, Xinhai Hou^*, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, and Todd C. Hollon

Website arXiv Github

NATURE MEDICINE | 2023

AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

Todd Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, Wajd Al-Holou, Jason Heth, Oren Sagher, Pedro Lowenstein, Maria Castro, Lisa Irina Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Niklas von Spreckelsen, Mitchel Berger, Shawn Hervey-Jumper, John Golfinos, Matija Snuderl, Sandra Camelo-Piragua, Christian Freudiger, Honglak Lee, and Daniel Orringer

Interactive Demo Paper arXiv Github

NEURIPS DATASETS & BENCHMARKS | 2022

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology

Cheng Jiang^*, Asadur Chowdury^*, Xinhai Hou^*, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, and Todd C. Hollon

Website arXiv Github Talk Poster OpenReview

NATURE MEDICINE | 2020

Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks

Todd C Hollon, Balaji Pandian, Arjun R Adapa, Esteban Urias, Akshay V Save, Siri Sahib S Khalsa, Daniel G Eichberg, Randy S D'Amico, Zia U Farooq, Spencer Lewis, Petros D Petridis, Tamara Marie, Ashish H Shah, Hugh J L Garton, Cormac O Maher, Jason A Heth, Erin L McKean, Stephen E Sullivan, Shawn L Hervey-Jumper, Parag G Patil, B Gregory Thompson, Oren Sagher, Guy M McKhann 2nd, Ricardo J Komotar, Michael E Ivan, Matija Snuderl, Marc L Otten, Timothy D Johnson, Michael B Sisti, Jeffrey N Bruce, Karin M Muraszko, Jay Trautman, Christian W Freudiger, Peter Canoll, Honglak Lee, Sandra Camelo-Piragua, Daniel A Orringer

PDF Github Video NYTimes Article

NATURE BIOMEDICAL ENGINEERING | 2017

Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy

Daniel A Orringer, Balaji Pandian, Yashar S Niknafs, Todd C Hollon, Julianne Boyle, Spencer Lewis, Mia Garrard, Shawn L Hervey-Jumper, Hugh J L Garton, Cormac O Maher, Jason A Heth, Oren Sagher, D Andrew Wilkinson, Matija Snuderl, Sriram Venneti, Shakti H Ramkissoon, Kathryn A McFadden, Amanda Fisher-Hubbard, Andrew P Lieberman, Timothy D Johnson, X Sunney Xie, Jay K Trautman, Christian W Freudiger, Sandra Camelo-Piragua

PDF