- Inicio
- Listar por autor
Listar por autor "Liu, Jie"
Mostrando ítems 1-2 de 2
-
Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks
Liu, Jie; Dey, Nilanjan; Das, Nabanita; González-Crespo, Rubén ; Shi, Fuqian; Liu, Chanjuan (Applied Soft Computing, 2022)Functional magnetic resonance imaging (fMRI) is widely used for clinical examinations, diagnosis, and treatment. By segmenting fMRI images, large-scale medical image data can be processed more efficiently. Most deep learning ... -
Inadequate dataset learning for major depressive disorder MRI semantic classification
Liu, Jie; Dey, Nilanjan; González-Crespo, Rubén ; Shi, Fuqian; Liu, Chanjuan (IET Image Processing, 2022)Predicting patients with major depression (MDD) is currently a difficult task. Magnetic resonance imaging (MRI) data analysis may provide insight into individual patient responses, allowing for more customized treatment ...