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; et al. (Nat., 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 (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

Extending SEEDS to a Supervoxel Algorithm for Medical Image Analysis - Chenhui Zhao; Yan Jiang; Todd C. Hollon (CoRR, 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; et al. (CoRR, 2025)

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 (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 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)

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)

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)

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 (CoRR, 2024)

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 (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 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, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023, 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 (CoRR, 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; et al. (CoRR, 2023)

Fine-grained Text Style Transfer with Diffusion-Based Language Models - Yiwei Lyu; Tiange Luo; Jiacheng Shi; Todd C. Hollon; Honglak Lee (CoRR, 2023)

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 (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 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 (CoRR, 2022)

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; et al. (CoRR, 2021)