|
Adversarial Databases Improve Success in Retrieval-based Large Language Models
Sean Wu, Michael Koo, Liyo Kao, Andy Black, Lesley Blum, Fabien Scalzo, Ira Kurtz, The 3rd New Frontiers in Adversarial Machine Learning in NeurIPS'2024, (2024).
[ArXiv]
|
|
Benchmarking Open-Source Large Language Models, GPT-4 and Claude 2 on Multiple-Choice Questions in Nephrology
Sean Wu, Michael Koo, Lesley Blum, Andy Black, Zhe Fei, Fabien Scalzo, Ira Kurtz, New England Journal of Medicine Artificial Intelligence, Vol. 1 No. 2, 2024.
[Paper]
|
|
Prediction of visual field progression with serial optic disc photographs using deep learning
Vahid Mohammadzadeh, Sean Wu, Tyler Davis, Arvind Vepa, Esteban Morales, Sajad Besharati, Kiumars Edalati, Jack Martinyan, Mahshad Rafiee, Arthur Martynian, Fabien Scalzo, Joseph Caprioli, Kouros Nouri-Mahdavi, British Journal of Ophthalmology (2023).
[Paper]
|
|
Auxiliary-Domain Learning for a Functional Prediction of Glaucoma Progression
Sean Wu, Vahid Mohammadzadeh, Kiumars Edalati, Jack Martinyan, Arthur Martinyan, Joseph Caprioli, Kouros Nouri-Mahdavi, Fabien Scalzo, International Workshop on Ophthalmic Medical Image Analysis (pp. 21-31). Cham: Springer Nature Switzerland.
[Paper] [Video]
|
|
Prediction of Central Visual Field Measures From Macular OCT Volume Scans With Deep Learning
Vahid Mohammadzadeh*, Arvind Vepa*, Chuanlong Li, Sean Wu, Leila Chew, Golnoush Mahmoudinezhad, Evan Maltz, Serhat Sahin, Apoorva Mylavarapu, Kiumars Edalati, Jack Martinyan, Dariush Yalzadeh, Fabien Scalzo, Joseph Caprioli, Kouros Nouri-Mahdavi, Translational Vision Science & Technology 12, no. 11 (2023): 5-5.
[Paper]
|
|
Prediction of visual field progression based on baseline and longitudinal structural measurements with a deep learning model
Vahid Mohammadzadeh, Sean Wu, Tyler Davis, Arvind Vepa, Esteban Morales, Sajad Besharati, Kiumars Edalati, Jack Martinyan, Mahshad Rafiee, Arthur Martynian, Fabien Scalzo, Joseph Caprioli, Kouros Nouri-Mahdavi, American Journal of Ophthalmology (2024).
[Paper]
|
|
Using Artificial Intelligence for Evaluating Structural Eyelid Change Following Mϋller’s Muscle-Conjunctival Resection
Vahid Mohammadzadeh, Sean Wu, Persiana Saffari, Sean Ghiam, Fabien Scalzo, Maral Namdari, Kelsey Roelofs, Justin Karlin, Robert A Goldberg, Daniel B. Rootman, American Society of Ophthalmic Plastic and Reconstructive Surgery (ASOPRS) 54th Annual Fall Scientific Symposium, 2024.
[Paper Out Soon!]
|
|
A Multimodal Approach for Predicting Glaucoma Progression with Artificial Intelligence
Vahid Mohammadzadeh, Sean Wu, Sajad Besharati, Kiumars Edelati, Mahshad Rafiee, Jack Martinyan, Arthur Martinyan, Fabien Scalzo, Joseph Caprioli, Kouros Nouri-Mahdavi, (Submitting) Ophthalmology (2024).
[Paper Out Soon!]
|
|
Prediction of Glaucoma Progression from Initial Visual Field Data with Deep Learning Survival Analysis
Vahid Mohammadzadeh, Sean Wu, Sajad Besharati, Kiumars Edalati, Mahshad Rafiee, Jack Martinyan, Arthur Martinyan, Fabien Scalzo, Joseph Caprioli, Kouros Nouri-Mahdavi, Fei Zhe, (Submitting) Ophthalmology (2024).
[Paper Out Soon!]
|
|
Denoising visual field data via self-supervised masked autoencoders for enhanced glaucoma progression detection
Sean Wu, Vahid Mohammadzadeh, Jun Yu Chen, Jaewon Lee, Kouros Nouri-Mahdavi, Joseph Caprioli*, Zhe Fei*, Fabien Scalzo*, (Submitting) Nature Scientific Reports, (2024).
[Paper Out Soon!]
|
|
Foil-Net: Deep Wave Classification for Hydrofoil Surfing
Zachary Mossing, Sean Wu, Kevin Hong, Fabien Scalzo, Jesse Cha, International Symposium on Visual Computing, pp. 109-120. Cham: Springer Nature Switzerland, 2023.
[Paper]
|
|
Deep Learning-Based Classification of Plant Xylem Tissue from Light Micrographs
Sean Wu, Reem Al Dabagh, Anna L. Jacobsen, Helen I. Holmlund, Fabien Scalzo, International Symposium on Visual Computing, pp. 237-248. Cham: Springer International Publishing, 2022.
[Paper]
|
|
Predicting Outcomes in Video Games with Long Short Term Memory Networks
Kittimate Chulajata*, Sean Wu*, Fabien Scalzo, Jesse Cha, Pending, 2024.
[ArXiv]
|