Automated Diagnosis of Major Depressive Disorder Using Brain Effective Connectivity and 3D Convolutional Neural Network. - Danish M. Khan; Norashikin Yahya; Nidal S. Kamel; Ibrahima Faye (IEEE Access, 2021)

Effective Connectivity for Default Mode Network Analysis of Alcoholism. - Danish M. Khan; Nidal S. Kamel; Muzaimi Mustapha; Timothy Hill (Brain Connect., 2021)

Effective Connectivity for Decoding Electroencephalographic Motor Imagery Using a Probabilistic Neural Network. - Muhammad Ahsan Awais; Mohd Zuki Yusoff; Danish M. Khan; Norashikin Yahya; Nidal S. Kamel; Mansoor Ebrahim (Sensors, 2021)

Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI. - Alishba Sadiq; Mohammed Isam Al-Hiyali; Norashikin Yahya; Tong Boon Tang; Danish M. Khan (IEEE Access, 2022)

A novel method for efficient estimation of brain effective connectivity in EEG. - Danish M. Khan; Norashikin Yahya; Nidal S. Kamel; Ibrahima Faye (Comput. Methods Programs Biomed., 2023)

Deciphering Default Mode Network Dynamics in Alcohol Use Disorder Through Directed Transfer Function Analysis of EEG. - Komal Masroor; Danish M. Khan; Hashim Raza Khan; Norashikin Yahya; Kamran Arshad; Khaled Assaleh 001 (IEEE Access, 2024)

Enhancing motor imagery EEG signal decoding through machine learning: A systematic review of recent progress. - Ibtehaaj Hameed; Danish M. Khan; Syed Muneeb Ahmed; Syed Sabeeh Aftab; Hammad Fazal (Comput. Biol. Medicine, 2025)

Advances in EEG-based detection of Major Depressive Disorder using shallow and deep learning techniques: A systematic review. - Hoorain Rehman; Danish M. Khan; Hafsa Amanullah; Laiba Kamran; Owais Ur Rehman; Sana Taj Siddiqui; Komal Masroor (Comput. Biol. Medicine, 2025)