Todd C. Hollon

According to our database, Todd C. Hollon authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Intelligent Histology for Tumor Neurosurgery.

Xinhai Hou, Akhil Kondepudi, Cheng Jiang, Yiwei Lyu, Edward S. Harake, Asadur Chowdury, Anna-Katharina Meißner, Volker Neuschmelting, David Reinecke, Gina Furtjes, Georg Widhalm, Lisa Irina Koerner, Jakob Straehle, Nicolas Neidert, Pierre Scheffler, Jürgen Beck, Michael Ivan, Ashish Shah, Aditya Pandey, Sandra Camelo-Piragua, Dieter Henrik Heiland, Oliver Schnell, Chris Freudiger, Jacob Young, Melike Pekmezci, Katie Scotford, Shawn Hervey-Jumper, Daniel A. Orringer, Mitchel S. Berger, Todd C. Hollon

CoRR, July, 2025

Towards Scalable Language-Image Pre-training for 3D Medical Imaging.

Chenhui Zhao, Yiwei Lyu, Asadur Chowdury, Edward S. Harake, Akhil Kondepudi, Akshay Rao, Xinhai Hou, Honglak Lee, Todd C. Hollon

CoRR, May, 2025

Repurposing the scientific literature with vision-language models.

Anton Alyakin, Jaden Stryker, Daniel Alexander Alber, Karl L. Sangwon, Brandon Duderstadt, Akshay Save, David Kurland, Spencer Frome, Shrutika Singh, Jeff Zhang, Eunice Yang, Ki Yun Park, Cordelia Orillac, Aly A. Valliani, Sean Neifert, Albert Liu, Aneek Patel, Christopher Livia, Darryl Lau, Ilya Laufer, Peter A. Rozman, Eveline Teresa Hidalgo, Howard Riina, Rui Feng, Todd C. Hollon, Yindalon Aphinyanaphongs, John G. Golfinos, Laura Snyder, Eric Leuthardt, Douglas Kondziolka, Eric Karl Oermann

CoRR, February, 2025

Extending SEEDS to a Supervoxel Algorithm for Medical Image Analysis.

Chenhui Zhao, Yan Jiang, Todd C. Hollon

CoRR, February, 2025

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

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

Nat., January, 2025

Step-Calibrated Diffusion for Biomedical Optical Image Restoration.

Yiwei Lyu, Sung Jik Cha, Cheng Jiang, Asadur Zaman Chowdury, Xinhai Hou, Edward S. Harake, Akhil Kondepudi, Christian W. Freudiger, Honglak Lee, Todd C. Hollon

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A self-supervised framework for learning whole slide representations.

Xinhai Hou, Cheng Jiang, Akhil Kondepudi, Yiwei Lyu, Asadur Zaman Chowdury, Honglak Lee, Todd C. Hollon

CoRR, 2024

Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters.

Edward S. Harake, Joseph R. Linzey, Cheng Jiang, Rushikesh S. Joshi, Mark M. Zaki, Jaes C. Jones, Siri S. Khalsa, John H. Lee, Zachary Wilseck, Jacob R. Joseph, Todd C. Hollon, Paul Park

CoRR, 2024

Super-resolution of biomedical volumes with 2D supervision.

Cheng Jiang, Alexander Gedeon, Yiwei Lyu, Eric Landgraf, Yufeng Zhang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Honglak Lee, Todd C. Hollon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging.

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

CoRR, 2023

Fine-grained Text Style Transfer with Diffusion-Based Language Models.

Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd C. Hollon, Honglak Lee

Proceedings of the 8th Workshop on Representation Learning for NLP, 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, Todd C. Hollon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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, Todd C. Hollon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Contrastive Representation Learning for Rapid Intraoperative Diagnosis of Skull Base Tumors Imaged Using Stimulated Raman Histology.

Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey, Rushikesh S. Joshi, Sung Jik Cha, Sudharsan Srinivasan, Daniel Alber, Akhil Kondepudi, Esteban Urias, Balaji Pandian, Wajd Al-Holou, Steve Sullivan, B. Gregory Thompson, Jason Heth, Chris Freudiger, Siri S. Khalsa, Donato Pacione, John G. Golfinos, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon

CoRR, 2021