U. Deva Priyakumar - researchr alias

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Viewing Publication 1 - 23 from 23

2024

2023

Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net FrameworkAkshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar. ijcnn 2023: 1-8 [doi]

Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification ModelsAbhiroop Talasila, Akshaya Karthikeyan, Shanmukh Alle, Maitreya Maity, U. Deva Priyakumar. ijcnn 2023: 1-8 [doi]

2022

DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural NetworksRishal Aggarwal, Akash Gupta, Vineeth R. Chelur, C. V. Jawahar, U. Deva Priyakumar. jcisd, 62(21):5069-5079, 2022. [doi]

MolGPT: Molecular Generation Using a Transformer-Decoder ModelViraj Bagal, Rishal Aggarwal, P. K. Vinod, U. Deva Priyakumar. jcisd, 62(9):2064-2076, 2022. [doi]

BiRDS - Binding Residue Detection from Protein Sequences Using Deep ResNetsVineeth R. Chelur, U. Deva Priyakumar. jcisd, 62(8):1809-1818, 2022. [doi]

Modern AI/ML Methods for Healthcare: Opportunities and ChallengesAkshit Garg, Vijay Vignesh Venkataramani, Akshaya Karthikeyan, U. Deva Priyakumar. icdcit 2022: 3-25 [doi]

Benchmark study on deep neural network potentials for small organic moleculesRohit Modee, Siddhartha Laghuvarapu, U. Deva Priyakumar. jcc, 43(5):308-318, 2022. [doi]

Mining subgraph coverage patterns from graph transactionsA. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar. ijdsa, 13(2):105-121, 2022. [doi]

Modified Variable Kernel Length ResNets for Heart Murmur Detection and Clinical Outcome Prediction Using Phonocardiogram RecordingsVijay Vignesh Venkataramani, Akshit Garg, U. Deva Priyakumar. cinc 2022: 1-4 [doi]

2021

Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from GaitShanmukh Alle, U. Deva Priyakumar. miccai 2021: 614-623 [doi]

MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating RewardsManan Goel, Shampa Raghunathan, Siddhartha Laghuvarapu, U. Deva Priyakumar. jcisd, 61(12):5815-5826, 2021. [doi]

MMBERT: Multimodal BERT Pretraining for Improved Medical VQAYash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar. isbi 2021: 1033-1036 [doi]

Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural NetworksYashaswi Pathak, Sarvesh Mehta, U. Deva Priyakumar. jcisd, 61(2):689-698, 2021. [doi]

IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG ClassificationLikith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar. SMC 2021: 1068-1074 [doi]

A Model of Graph Transactional Coverage Patterns with Applications to Drug DiscoveryA. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar. hipc 2021: 21-30 [doi]

2020

BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small MoleculesSiddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar. jcc, 41(8):790-799, 2020. [doi]

Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like MoleculesYashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar. AAAI 2020: 873-880 [doi]

2015

Dynamics Based Pharmacophore Models for Screening Potential Inhibitors of Mycobacterial Cyclopropane SynthaseChinmayee Choudhury, U. Deva Priyakumar, G. Narahari Sastry. jcisd, 55(4):848-860, 2015. [doi]

Prediction of the structures of helical membrane proteins based on a minimum unfavorable contacts approachSiladitya Padhi, Siddabattula Ramakrishna, U. Deva Priyakumar. jcc, 36(8):539-552, 2015. [doi]

2011

Impact of 2′-hydroxyl sampling on the conformational properties of RNA: Update of the CHARMM all-atom additive force field for RNAElizabeth J. Denning, U. Deva Priyakumar, Lennart Nilsson, Alexander D. MacKerell Jr.. jcc, 32(9):1929-1943, 2011. [doi]

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2011

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