Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection. - Muhammad Attique Khan; Muhammad Rashid 002; Muhammad Sharif 001; Kashif Javed; Tallha Akram (Multim. Tools Appl., 2019)

Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features. - Muhammad Rashid 002; Muhammad Attique Khan; Muhammad Sharif 001; Mudassar Raza; Muhammad Masood Sarfraz; Farhat Afza (Multim. Tools Appl., 2019)

An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Kashif Javed; Muhammad Rashid 002; Syed Ahmad Chan Bukhari (Neural Comput. Appl., 2020)

Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images. - Muhammad Sharif 001; Muhammad Attique Khan; Muhammad Rashid 002; Mussarat Yasmin; Farhat Afza; Urcun John Tanik (J. Exp. Theor. Artif. Intell., 2021)

Using Stratified Sampling to Improve LIME Image Explanations. - Muhammad Rashid 002; Elvio G. Amparore; Enrico Ferrari; Damiano Verda (AAAI, 2024)

Can I Trust My Anomaly Detection System? A Case Study Based on Explainable AI. - Muhammad Rashid 002; Elvio G. Amparore; Enrico Ferrari; Damiano Verda (xAI (4), 2024)