U. Deva Priyakumar

According to our database, U. Deva Priyakumar authored at least 22 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification Models.

Abhiroop Talasila, Akshaya Karthikeyan, Shanmukh Alle, Maitreya Maity, U. Deva Priyakumar

Proceedings of the International Joint Conference on Neural Networks, 2023

Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework.

Akshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar

Proceedings of the International Joint Conference on Neural Networks, 2023

A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features.

Vijay Vignesh Venkataramani, Akshit Garg, Maitreya Maity, U. Deva Priyakumar

Proceedings of the Computing in Cardiology, 2023

2022

BiRDS - Binding Residue Detection from Protein Sequences Using Deep ResNets.

Vineeth R. Chelur, U. Deva Priyakumar

J. Chem. Inf. Model., 2022

MolGPT: Molecular Generation Using a Transformer-Decoder Model.

Viraj Bagal, Rishal Aggarwal, P. K. Vinod, U. Deva Priyakumar

J. Chem. Inf. Model., 2022

DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks.

Rishal Aggarwal, Akash Gupta, Vineeth R. Chelur, C. V. Jawahar, U. Deva Priyakumar

J. Chem. Inf. Model., 2022

Benchmark study on deep neural network potentials for small organic molecules.

Rohit Modee, Siddhartha Laghuvarapu, U. Deva Priyakumar

J. Comput. Chem., 2022

Mining subgraph coverage patterns from graph transactions.

A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar

Int. J. Data Sci. Anal., 2022

Modern AI/ML Methods for Healthcare: Opportunities and Challenges.

Akshit Garg, Vijay Vignesh Venkataramani, Akshaya Karthikeyan, U. Deva Priyakumar

Proceedings of the Distributed Computing and Intelligent Technology, 2022

Modified Variable Kernel Length ResNets for Heart Murmur Detection and Clinical Outcome Prediction Using Phonocardiogram Recordings.

Vijay Vignesh Venkataramani, Akshit Garg, U. Deva Priyakumar

Proceedings of the Computing in Cardiology, 2022

2021

Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural Networks.

Yashaswi Pathak, Sarvesh Mehta, U. Deva Priyakumar

J. Chem. Inf. Model., 2021

MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating Rewards.

Manan Goel, Shampa Raghunathan, Siddhartha Laghuvarapu, U. Deva Priyakumar

J. Chem. Inf. Model., 2021

APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design.

Rishal Aggarwal, Akash Gupta, U. Deva Priyakumar

CoRR, 2021

IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification.

Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait.

Shanmukh Alle, U. Deva Priyakumar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

MMBERT: Multimodal BERT Pretraining for Improved Medical VQA.

Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery.

A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020

BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small Molecules.

Siddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar

J. Comput. Chem., 2020

Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules.

Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2015

Dynamics Based Pharmacophore Models for Screening Potential Inhibitors of Mycobacterial Cyclopropane Synthase.

Chinmayee Choudhury, U. Deva Priyakumar, G. Narahari Sastry

J. Chem. Inf. Model., 2015

Prediction of the structures of helical membrane proteins based on a minimum unfavorable contacts approach.

Siladitya Padhi, Siddabattula Ramakrishna, U. Deva Priyakumar

J. Comput. Chem., 2015

2011

Impact of 2′-hydroxyl sampling on the conformational properties of RNA: Update of the CHARMM all-atom additive force field for RNA.

Elizabeth J. Denning, U. Deva Priyakumar, Lennart Nilsson, Alexander D. MacKerell Jr.

J. Comput. Chem., 2011