Artificial intelligence in the prediction of protein-ligand interactions: recent advances and future directions. - Ashwin Dhakal; Cole McKay; John J. Tanner; Jianlin Cheng (Briefings Bioinform., 2022)

Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge. - Sajid Mahmud; Elham Soltanikazemi; Frimpong Boadu; Ashwin Dhakal; Jianlin Cheng (CoRR, 2022)

Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5. - Elham Soltanikazemi; Ashwin Dhakal; Bijaya Kumar Hatuwal; Imad Eddine Toubal; Armstrong Aboah; Kannappan Palaniappan (AIPR, 2023)

Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs. - Fei He; Zhiyuan Yang; Mingyue Gao; Biplab Poudel; Newgin Sam Ebin Sam Dhas; Rajan Gyawali; Ashwin Dhakal; Jianlin Cheng; Dong Xu 002 (CoRR, 2023)

Artificial intelligence in cryo-EM protein particle picking: recent advances and remaining challenges. - Ashwin Dhakal; Rajan Gyawali; Liguo Wang; Jianlin Cheng (Briefings Bioinform., 2024)

CryoSegNet: accurate cryo-EM protein particle picking by integrating the foundational AI image segmentation model and attention-gated U-Net. - Rajan Gyawali; Ashwin Dhakal; Liguo Wang; Jianlin Cheng (Briefings Bioinform., 2024)