Radiology NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network. April 12, 2024
Neurology | Psychiatry | Radiology Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis. March 28, 2024
Nuclear Medicine | Radiology Applications of Machine Learning and Deep Learning in SPECT and PET Imaging: General Overview, Challenges and Future prospects. November 8, 2023
Biomedical Engineering | Neurology | Radiology An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. September 15, 2022
Neurology | Psychiatry Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. December 13, 2021
Oncology | Radiology Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling. November 22, 2021
Neurology | Psychiatry | Radiology Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. April 20, 2020