Ashwin Dhakal

Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge

S. Mahmud, Elham Soltanikazemi, Frimpong Boadu, 2022, ArXiv.

Detection And Classification Of Diabetic Retinopathy Using Adaptive Boosting And Artificial Neural Network

S. Shakya, Ashwin Dhakal, Laxmi Prasad Bastola, 2019 .

CryoPPP: A Large Expert-Labelled Cryo-EM Image Dataset for Machine Learning Protein Particle Picking

Jianlin Cheng, Ashwin Dhakal, Rajan Gyawali, 2023, bioRxiv.

Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions

Jianlin Cheng, J. Tanner, Ashwin Dhakal, 2021, Briefings Bioinform..

A large expert-curated cryo-EM image dataset for machine learning protein particle picking

Jianlin Cheng, Ashwin Dhakal, Rajan Gyawali, 2023, Scientific data.

Comparison of forest aboveground biomass estimates from passive and active remote sensing sensors over Kayar Khola watershed, Chitwan district, Nepal

Ashwin Dhakal, Mirza Muhammad Waqar, Waqas Qazi, 2017 .

Image-Based Plant Disease Detection with Deep Learning

Ashwin Dhakal, Subarna Shakya, S. Shakya, 2018, International Journal of Computer Trends and Technology.

Predicting Protein-Ligand Binding Structure Using E(n) Equivariant Graph Neural Networks

Jianlin Cheng, Ashwin Dhakal, Rajan Gyawali, 2023, bioRxiv.

CryoTransformer: a transformer model for picking protein particles from cryo-EM micrographs

Ashwin Dhakal, Rajan Gyawali, Liguo Wang, 2023, bioRxiv.