Evaluating Performance of Adam Optimization by Proposing Energy Index. - Mohan Bhandari; Pramod Parajuli; Pralhad Chapagain; Loveleen Gaur (RTIP2R, 2021)

Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI. - Mohan Bhandari; Tej Bahadur Shahi; Birat Siku; Arjun Neupane (Comput. Biol. Medicine, 2022)

Determining the Major Contributing Features to Predict Breast Cancer Imposing ML Algorithms with LIME and SHAP. - Prakash Paudel; Ruby Saud; Satish Kumar Karna; Mohan Bhandari (ICECET, 2023)

Unveiling Key Predictors for Early Heart Attack Detection using Machine Learning and Explainable AI Technique with LIME. - Prakash Paudel; Satish Kumar Karna; Ruby Saud; Loknath Regmi; Tara Bahadur Thapa; Mohan Bhandari (NSysS, 2023)

Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks. - Mohan Bhandari; Tej Bahadur Shahi; Arjun Neupane (J. Imaging, 2023)

BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model. - Mohan Bhandari; Tej Bahadur Shahi; Arjun Neupane; Kerry Brian Walsh (J. Imaging, 2023)

Auguring Fake Face Images Using Dual Input Convolution Neural Network. - Mohan Bhandari; Arjun Neupane; Saurav Mallik; Loveleen Gaur; Hong Qin 003 (J. Imaging, 2023)

Explanation-Driven HCI Model to Examine the Mini-Mental State for Alzheimer's Disease. - Loveleen Gaur; Mohan Bhandari; Bhadwal Singh Shikhar; NZ Jhanjhi; Mohammad Shorfuzzaman; Mehedi Masud (ACM Trans. Multim. Comput. Commun. Appl., 2024)