Leveraging Convolutional Neural Networks for Precise Diagnosis of Autism Through Transfer Learning and Ensemble Model. - Pronab Sarker; Anirudh Atmakuru; Subrata Chakraborty; Manoranjan Paul; Prabal Datta Barua; Biswajeet Pradhan (DICTA, 2024)

CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints. - Anirudh Atmakuru; Jatin Nainani; Rohith Siddhartha Reddy Bheemreddy; Anirudh Lakkaraju; Zonghai Yao; Hamed Zamani; Haw-Shiuan Chang (CoRR, 2024)

Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques. - Anirudh Atmakuru; Subrata Chakraborty; Oliver Faust; Massimo Salvi; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya; Nusrat Homaira (Expert Syst. Appl., 2024)

Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications. - Anirudh Atmakuru; Subrata Chakraborty; Massimo Salvi; Oliver Faust; Prabal Datta Barua; Makiko Kobayashi; Ru-San Tan; Filippo Molinari; Abdul Hafeez-Baig; U. Rajendra Acharya (IEEE Access, 2025)

Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024). - Madhav R. Acharya; Ravinesh C. Deo; Xiaohui Tao 001; Prabal Datta Barua; Aruna Devi; Anirudh Atmakuru; Ru-San Tan (Comput. Methods Programs Biomed., 2025)

Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023). - Anirudh Atmakuru; Alen Shahini; Subrata Chakraborty; Silvia Seoni; Massimo Salvi; Abdul Hafeez-Baig; Sadaf Rashid; Ru-San Tan; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (Inf. Fusion, 2025)

Does quantization affect models' performance on long-context tasks? - Anmol Mekala; Anirudh Atmakuru; Yixiao Song; Marzena Karpinska; Mohit Iyyer (CoRR, 2025)