Biomedical Engineering | Epileptology | Neurology Transformer-Based High-Frequency Oscillation Signal Detection on Magnetoencephalography From Epileptic Patients. March 21, 2022
Neurology | Psychiatry ConCeptCNN: A novel multi-filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome. March 5, 2022
Neurology | Pediatrics | Radiology Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants. October 23, 2021
Pediatrics | Radiology DeepLiverNet: a deep transfer learning model for classifying liver stiffness using clinical and T2-weighted magnetic resonance imaging data in children and young adults. October 13, 2020
Neonatology | Neurology | Pediatrics Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks. October 12, 2020
Neonatology | Neurology | Pediatrics A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants. September 16, 2020
Neonatology | Radiology Objective and Automated Detection of Diffuse White Matter Abnormality in Preterm Infants Using Deep Convolutional Neural Networks. July 8, 2019
Epileptology | Neurology A Stacked Sparse Autoencoder-Based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy. April 2, 2019
Neurology A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes. November 14, 2018