List of Conference Publications
2023
Covid-19 Risk Stratification & Mortality prediction in hospitalized Indian Patients: harnessing clinical data for publich health benefits
Shanmukh Alle et al, PLOS ONE 2023 , [pdf]
Identification and Characterization of Metabolic Subtypes of Endometrial Cancer using a Systems-Level Approach
Akansha Srivastava, P K Vinod , IJCNN 2023 , [pdf]
Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder
Pindi Krishna Chandraprasad, Kamalaker Dadi, Bapi Raju, IJCNN 2023 , [pdf]
Network diffusion-based approach for survival prediction and identification of biomarkers using multi-omics data of papillary renal cell carcinoma
Keerthi S Shetty, Aswin Jose, Mihir Bani, P K Vinod , MICCAI 2023 , [pdf]
PREHOST: Host Prediction of coronaviridae family using Machine Learning
Anusha Chaturvedi, Kushal Borkar, U Deva Priyakumar, P.K. Vinod , MICCAI 2023 , [pdf]
2022
Inferring miRNA Sponge modules across major neuropsychiatric disorders
Rami Balasubramanian and Vinod P.K. , MICCAI 2022 , [pdf]
Ayu -Characterization of Healthy Aging from Neuroimaging Data with Deep Learning and rsfMRI
Kushal Borkar, Anusha Chaturvedi, Vinod P.K., S Bapi Raju , MICCAI 2022 , [pdf]
mulEEG: A Multi-View Representation Learning on EEG Signals
Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalakar Dadi, Chiranjeevi Yarra, Bapi S. Raju, Srijithesh Rajendran , MICCAI 2022 , [pdf]
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,IEEE International Conference on Systems, Man, and Cybernetics (SMC),2021. [pdf]
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar and C. V. Jawahar,IEEE International Symposium on Biomedical Imaging (ISBI),2021. [pdf]
Exploring genetic-histologic relationships in breast cancer
Chauhan R, Vinod PK and Jawahar CV,IEEE International Symposium on Biomedical Imaging (ISBI),2021. [pdf]
Interactive Learning for Assisting Whole Slide Image Annotation
Ashish Menon, Piyush Singh, P. K. Vinod, C V Jawahar, Asian Conference on Pattern Recognition (ACPR), 2021. [pdf]
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait
S Alle, UD Priyakumar, International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021. [pdf]
2020
Chemically interpretable graph interaction network for prediction of pharmacokinetic properties of drug-like molecules
Y Pathak, S Laghuvarapu, S Mehta, U Priyakumar, 34th AAAI Conference, NewYork, 2020. [pdf]
Classification of ECG Heartbeat Arrhythmia: A Review
JR Annam, S Kalyanapu, S Ch, J Somala, SB Raju, Procedia Computer Science, 171, 2020. [pdf]
List of Journal Publications
2022
The Times They Are-a-Changin”: The Effect of the Covid-19 Pandemic on Online Music Sharing in India
Desur, P., Kamble, T., Krause, A., Kumaraguru, P., Alluri, V. ,Journal of ,2022. [pdf]
Modern AI/ML Methods for Healthcare: Opportunities and Challenges
Akshit Garg, Vijay Vignesh Venkataramani, Akshaya Karthikeyan, U. Deva Priyakumar ,Journal of ,2022. [pdf]
Bytes, Pixels, & Bases: Machine Learning in Imaging-omics for Renal Cell Carcinoma
Chauhan R, Jawahar CV and Vinod P K ,Artificial Intelligence in Cancer Diagnosis and Prognosis, IOP publishing ,2022. [pdf]
Mathematical modelling of neurodegeneration
Nishtha P, Vinod P K ,Journal of Frontiers in Oncology ,2022. [pdf]
Deep Learning approach for classification and interpretation of Autism Spectrum Disorder
Krishna Chandra Prasad Pindi, Yash Khare, Vinod P.K., Bapi Raju S, Kamalaker Dadi ,Journal ofFrontiers in Oncology ,2022. [pdf]
Exploring histological similarities across cancers from a deep learning perspective
Ashish Menon, Piyush Singh, P. K. Vinod, C V Jawahar ,Journal ofFrontiers in Oncology ,2022. [pdf]
Systems-level analysis of transcriptome reorganization during liver regeneration
Manisri Porukala, P.K. Vinod ,Journal of Molecular Omics ,2022. [pdf]
2021
Motor Learning Behaviors involved in Internally-Guided Motor Skill Learning
K Bera, A Shukla, RS Bapi ,Journal of Frontiers in Psychology,2021. [pdf]
Artificial Intelligence:Machine Learning for Chemical Sciences
Akshaya Karthikeyan, U. Deva Priyakumar,Journal of Chemical Sciences,2021. [pdf]
Molecular Representations for Machine Learning Applications in Chemistry
Shampa Raghunathan, U. Deva Priyakumar,International Journal of Quantum Chemistry ,2021. [pdf]
Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural Networks
Yashaswi Pathak, Sarvesh Mehta, U Deva Priyakumar,Journal of Chemical Information and Modeling,61,2,2021. [pdf]
Machine learning based clinical decision support system for early covid-19 mortality prediction
A Karthikeyan, A Garg, PK Vinod, UD Priyakumar,Frontiers in Public health,2021. [pdf]
Numerical Magnitude Affects Accuracy but Not Precision of Temporal Judgments
A Shukla, RS Bapi, Frontiers in Human Neuroscience, 14, 2021. [pdf]
Motor Chunking in Internally Guided Sequencing
K Bera, A Shukla, RS Bapi, Brain Sciences, 11, 3, 2021. [pdf]
Learning Behaviors involved in Internally-Guided Motor Skill Learning
K Bera, A Shukla, RS Bapi, Frontiers in Psychology, 12, 2021. [pdf]
DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks
R Aggarwal, A Gupta, V Chelur, CV Jawahar, UD Priyakumar,American Chemical Society, 2021. [pdf]
MolGPT: Molecular Generation using a Transformer-Decoder Model
V Bagal, R Aggarwal, PK Vinod, UD Priyakumar, 2021. [pdf]
MEMES: Machine learning framework for Enhanced MolEcular Screening
S Mehta, S Laghuvarapu, Y Pathak, A Sethi, M Alvala, UD Priyakumar,Journal of Chemical Sciences, 12, 35, 2021. [pdf]
APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design
R Aggarwal, A Gupta, UD Priyakumar, arXiv, 2021. [pdf]
Brain Affective System Inspired Control Architecture: An Application to Nonlinear System
Md. Qutubuddin, Tilahun Kochito Gibo, Raju S. Bapi, Narri Yadaiah, IEEE Access, 9, 2021. [pdf]
Effects of Meditation on Structural Changes of the Brain in Patients With Mild Cognitive Impairment or Alzheimer’s Disease Dementia
Dwivedi M, Dubey N, Pansari AJ, Bapi RS, Das M, Guha M, Banerjee R, Pramanick G, Basu J and Ghosh A, Frontiers in Human Neuroscience, 2021. [pdf]
SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation
YS BL, S Raghunathan, UD Priyakumar, The Journal of Physical Chemistry, 2021. [pdf]
MoleGuLAR: Molecule Generation using Reinforcement Learning with Alternating Rewards
M Goel, S Raghunathan, S Laghuvarapu, UD Priyakumar, Journal of Chemical Information and Modeling, 2021. [pdf]
Clinico-Genomic AnalysisModulation by RNA Reveals Mutations Associated with Covid-19 Diisease Severity: Possible Modulation by RNA Structure
P Mehta, S Alle, A Chaturvedi, A Swaminathan, S Saifi, R Maurya, Pathogens, 10, 9, 2021. [pdf]
Host metabolic reprogramming in response to SARS-CoV-2 infection: A system biology approach
STR Moolamalla, R Balasubramanian, R Chauhan, UD Priyakumar, PK Vinod, Microbial Pathogenesis, 158, 2021. [pdf]
Benchmark study on deep neural network potentials for small organic molecules
Rohit Modee, Siddhartha Laghuvarapu, U. Deva Priyakumar, Journal of Computational Chemistry, 2021. [pdf]
2020
BAND NN: A deep learning framework for energy prediction and geometry optimization of organic small molecules
S Laghuvarapu, Y Pathak, UD Priyakumar,Journal of Computational Chemistry,41,8,2020. [pdf]
Integrative analysis of DNA methylation and gene expression in Papillary Renal Cell Carcinoma
Noor P S, Vinod PK, Molecular Genetics and Genomics, 295, 2020. [pdf]
HED-ID: An Affective Adaptation Model Explaining the Intensity-Duration Relationship of Emotion
ohn Eric Steephen, Siva C. Obbineni, Sneha Kummetha, Raju S. Bapi, IEEE Trans. Affect. Comput., 11, 4, 2020. [pdf]
Recalling a single object: going beyond the capacity debate
R Sengupta, CM Lewis, RS Bapi, BioRxiv, 2020. [pdf]
A VTA GABAergic computational model of dissociated reward prediction error computation in classical conditioning
P Kaushik, J Naudé, SB Raju, F Alexandre, Science Gate,2020. [pdf]