Todd C. Hollon

According to our database, Todd C. Hollon authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Step-Calibrated Diffusion for Biomedical Optical Image Restoration.

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

CoRR, 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 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