| Feature Interpretation Using Generative Adversarial Networks (FIGAN): A framework for visualizing a CNN¢s learned features KA Hasenstab, J Huynh, S Masoudi, GM Cunha, M Pazzani, A Hsiao IEEE Access 11, 5144-5160, 2023 | 4 | 2023 |
| Deep learning radiographic assessment of pulmonary edema: Training With Serum Biomarkers J Huynh, S Masoudi, A Noorbakhsh, A Mahmoodi, M Pazzani, A Hsiao Medical Imaging with Deep Learning, 2021 | 2 | 2021 |
| Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection B Chuter, J Huynh, C Bowd, E Walker, J Rezapour, N Brye, A Belghith, ... Translational Vision Science & Technology 13 (1), 23-23, 2024 | 1 | 2024 |
| Automated Measurement of RNFL Thickness from OCT Scans Using a Deep Learning Segmentation Free Approach BG Chuter, J Huynh, M Christopher, R Gonzalez, E Walker, SL Baxter, ... Investigative Ophthalmology & Visual Science 64 (8), 359-359, 2023 | 1 | 2023 |
| Transformer-based Deep Learning Approach Predicts Glaucoma Surgical Intervention from OCT M Christopher, R Gonzalez, J Huynh, E Walker, BR Saseendrakumar, ... Investigative Ophthalmology & Visual Science 64 (8), 371-371, 2023 | 1 | 2023 |
| Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers J Huynh, S Masoudi, A Noorbakhsh, A Mahmoodi, S Kligerman, A Yen, ... IEEE Access 10, 48577-48588, 2022 | 1 | 2022 |
| Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data M Christopher, R Gonzalez, J Huynh, E Walker, ... Bioengineering 11 (2), 140, 2024 | | 2024 |
| Predicting Surgical Interventions for Glaucoma with Clinically Available Data R Gonzalez, J Huynh, E Walker, BR Saseendrakumar, C Bowd, ... Investigative Ophthalmology & Visual Science 64 (8), 387-387, 2023 | | 2023 |
| Multimodal Transformer Model to Detect Glaucoma from OCT and Retinal Nerve Fiber Layer (RNFL) Thickness J Huynh, R Gonzalez, E Walker, BG Chuter, A Belghith, C Bowd, ... Investigative Ophthalmology & Visual Science 64 (8), 362-362, 2023 | | 2023 |
| 2022 iOS Apps and COVID-19: Can They Help Our Eye Patients? D Momen, G Wu, K Tien, W Zhao, J Huynh, A Xia Investigative Ophthalmology & Visual Science 63 (7), 4227–A0155-4227–A0155, 2022 | | 2022 |
| Use of Generative Adversarial Network to Improve Glaucoma Gradability of Fundus Images J Huynh, BG Chuter, M Christopher, C Bowd, R Fan, MH Goldbaum, ... Investigative Ophthalmology & Visual Science 63 (7), 2037–A0478-2037–A0478, 2022 | | 2022 |
| Use of a deep learning image quality model to evaluate impact of clinically relevant forms of degradation on the glaucoma gradability of fundus images BG Chuter, J Huynh, M Christopher, C Bowd, R Fan, MH Goldbaum, ... Investigative Ophthalmology & Visual Science 63 (7), 2043–A0484-2043–A0484, 2022 | | 2022 |
| Deep Learning Radiographic Assessment of Pulmonary Edema from Serum Biomarkers J Huynh University of California, San Diego, 2022 | | 2022 |
| COVID 19 and use of an iphone retinal camera TI Sung, G Wu, B Nguyen, D Chien, J Huynh Investigative Ophthalmology & Visual Science 62 (8), 2299-2299, 2021 | | 2021 |
