| A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers KA Thakoor, J Yao, D Bordbar, O Moussa, W Lin, P Sajda, RWS Chen Scientific reports 12 (1), 2585, 2022 | 39 | 2022 |
| Chronic adaptive deep brain stimulation versus conventional stimulation in Parkinson’s disease: a blinded randomized feasibility trial CR Oehrn, S Cernera, LH Hammer, M Shcherbakova, J Yao, A Hahn, ... Nature Medicine, 1-12, 2024 | 37* | 2024 |
| Ballistocardiogram artifact reduction in simultaneous EEG-fMRI using deep learning JR McIntosh, J Yao, L Hong, J Faller, P Sajda IEEE Transactions on Biomedical Engineering 68 (1), 78-89, 2020 | 36 | 2020 |
| Hybrid 3d-2d deep learning for detection of neovascularage-related macular degeneration using optical coherence tomography B-scans and angiography volumes K Thakoor, D Bordbar, J Yao, O Moussa, R Chen, P Sajda 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1600-1604, 2021 | 19 | 2021 |
| A hybrid deep learning system to distinguish late stages of AMD and to compare expert vs. machine AMD risk features K Thakoor, D Bordbar, J Yao, O Moussa, W Lin, I Scherbakova, ... Investigative Ophthalmology & Visual Science 62 (8), 2146-2146, 2021 | 2 | 2021 |
| Sustained Clinical Benefit of Adaptive Deep Brain Stimulation in Parkinson's Disease Using Gamma Oscillations: A Case Report S Cernera, CR Oehrn, LH Hammer, M Shcherbakova, J Yao, A Hahn, ... Movement Disorders, 2024 | | 2024 |
| BCGNet: A Deep Learning Toolbox for Ballistocardiogram Artifact Suppression in EEG-fMRI Recordings J Yao, Y Lin, J McIntosh, L Hong, J Faller, P Sajda | | 2020 |
