Listar por autor "Irfan, Muhammad"

Mostrando ítems 1-3 de 3

E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis

Saleem, Nasir; Gao, Jiechao; Irfan, Muhammad; Verdú, Elena ; Parra Puente, Javier (Image and vision computing, 2022)

Speechreading which infers spoken message from a visually detected articulated facial trend is a challenging task. In this paper, we propose an end-to-end ResNet (E2E-ResNet) model for synthesizing speech signals from the ...
The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data

Irfan, Muhammad; Shahrestani, Seyed; ElKhodr, Mahmoud (International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)

Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...
The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data

Irfan, Muhammad; Shahrestani, Seyed; ElKhodr, Mahmoud (UNIR, 01/03/2025)

Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...