Hojin Jang

Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks

Hojin Jang, Sergey Plis, Vince D. Calhoun et al. · NeuroImage · 2016 · 114 citations · Full text

Neuroimaging Biomarkers, Task-specific Feature Extraction, Deep Neural Networks +13

Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images

Hojin Jang, Devin McCormack, Frank Tong · PLoS Biology · 2021 · 43 citations · Full text

Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks

Hojin Jang, Frank Tong · Nature Communications · 2024 · 30 citations · Full text

Developing predictive imaging biomarkers using whole-brain classifiers: Application to the ABIDE I dataset

Swati Rane, Eshin Jolly, Anne Park et al. · Research Ideas and Outcomes · 2017 · 24 citations · Full text

Neuropsychology, Engineering, Machine Learning +25

Convolutional neural networks trained with a developmental sequence of blurry to clear images reveal core differences between face and object processing

Hojin Jang, Frank Tong · Journal of Vision · 2021 · 22 citations · Full text

Convolutional Neural Network, Engineering, Image Blur +19