| Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks H Jang, SM Plis, VD Calhoun, JH Lee NeuroImage 145, 314-328, 2017 | 137 | 2017 |
| Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images H Jang, D McCormack, F Tong PLoS biology 19 (12), e3001418, 2021 | 34 | 2021 |
| Developing predictive imaging biomarkers using whole-brain classifiers: Application to the ABIDE I dataset S Rane, E Jolly, A Park, H Jang, C Craddock Research Ideas and Outcomes 3, e12733, 2017 | 26 | 2017 |
| Convolutional neural networks trained with a developmental sequence of blurry to clear images reveal core differences between face and object processing H Jang, F Tong Journal of vision 21 (12), 6-6, 2021 | 17 | 2021 |
| Noise-robust neural networks and methods thereof F Tong, HJ Jang US Patent 11,030,487, 2021 | 12 | 2021 |
| Test–retest reliability of spatial patterns from resting-state functional MRI using the restricted Boltzmann machine and hierarchically organized spatial patterns from the deep … HC Kim, H Jang, JH Lee Journal of Neuroscience Methods 330, 108451, 2020 | 9 | 2020 |
| Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks H Jang, F Tong Nature Communications 15 (1), 1989, 2024 | 1 | 2024 |
| Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations? H Jang, SSA Zaidi, X Boix, N Prasad, S Gilad-Gutnick, S Ben-Ami, ... Neural Computation 35 (12), 1910-1937, 2023 | | 2023 |
