A GPU Based Maximum Common Subgraph Algorithm for Drug Discovery Applications. - P. B. Jayaraj; K. Rahamathulla; G. Gopakumar 001 (IPDPS Workshops, 2016)

GPURFSCREEN: a GPU based virtual screening tool using random forest classifier. - P. B. Jayaraj; Mathias K. Ajay; M. Nufail; G. Gopakumar 001; U. C. Abdul Jaleel (J. Cheminformatics, 2016)

Odd-even based adaptive two-way routing in mesh NoCs for hotspot mitigation. - R. S. Reshma Raj; C. Gayathri; Saidalavi Kalady; P. B. Jayaraj (ICDCN, 2019)

An Improved Protein-Protein Docking Technique Using Multilevel Scoring Function. - Sharon Sunny; Deepesh Kataria; P. B. Jayaraj (TENCON, 2019)

Ligand based virtual screening using SVM on GPU. - P. B. Jayaraj; Samyak Jain (Comput. Biol. Chem., 2019)

FPDock: Protein-protein docking using flower pollination algorithm. - Sharon Sunny; P. B. Jayaraj (Comput. Biol. Chem., 2021)

A GPU based virtual screening tool using SOM. - P. B. Jayaraj; K. M. Mithun; G. Gopakumar 001; U. C. Abdul Jaleel (Int. J. Comput. Biol. Drug Des., 2021)

CT Image Synthesis from MR Image Using Edge-Aware Generative Adversarial Network. - Jiffy Joseph; Rita Prasanth; Sebin Abraham Maret; P. N. Pournami; P. B. Jayaraj; Niyas Puzhakkal (CVIP (1), 2022)

Cervix type detection using a self-supervision boosted object detection technique. - M. B. Bijoy; Sai Manoj Akondi; S. Abdul Fathaah; Akash Raut; P. N. Pournami; P. B. Jayaraj (Int. J. Imaging Syst. Technol., 2022)

Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR-only radiation therapy. - Jiffy Joseph; Challa Hemanth; Pournami Pulinthanathu Narayanan; Jayaraj Pottekkattuvalappil Balakrishnan; Niyas Puzhakkal (Int. J. Imaging Syst. Technol., 2022)

DeepNR: An adaptive deep reinforcement learning based NoC routing algorithm. - R. S. Reshma Raj; Rohit R.; Mushrif Shaikh Shahreyar; Akash Raut; P. N. Pournami; Saidalavi Kalady; P. B. Jayaraj (Microprocess. Microsystems, 2022)

SART-Res-UNet: Fan Beam CT Image Reconstruction from Limited Projections using attention-enabled residual U-Net. - Harika Jinka; Jyothsna Shaji; Sangeeth John; Sreeraj R. Menon; Amalu Pradeep; P. B. Jayaraj; Pournami P. N; Niyas Puzhakkal (ACML, 2023)

Near-Infrared Image Colorization Using Unsupervised Contrastive Learning. - Devesh Rao; P. B. Jayaraj; P. N. Pournami (CVIP (1), 2023)

Deep Cleaner - A Few Shot Image Dataset Cleaner Using Supervised Contrastive Learning. - M. B. Bijoy; Bhanu Prakash Pebbeti; Sai Manoj Akondi; S. Abdul Fathaah; Akash Raut; P. N. Pournami; P. B. Jayaraj (IEEE Access, 2023)

SpecMap: An efficient spectral partitioning based static application mapping algorithm for 2D mesh NoCs. - R. S. Reshma Raj; Athul Joseph; Akhil Sarwar T. H.; Saidalavi Kalady; P. B. Jayaraj (Concurr. Comput. Pract. Exp., 2023)

SABOS-Net: Self-supervised attention based network for automatic organ segmentation of head and neck CT images. - Seenia Francis; Goutham Pooloth; Sai Bala Subrahmanyam Singam; Niyas Puzhakkal; Pournami Pulinthanathu Narayanan; Jayaraj Pottekkattuvalappil Balakrishnan (Int. J. Imaging Syst. Technol., 2023)

ContourGAN: Auto-contouring of organs at risk in abdomen computed tomography images using generative adversarial network. - Seenia Francis; P. B. Jayaraj; P. N. Pournami; Niyas Puzhakkal (Int. J. Imaging Syst. Technol., 2023)

Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function. - Jiffy Joseph; Aparajit Singh; Pournami Pulinthanathu Narayanan; Jayaraj Pottekkattuvalappil Balakrishnan; Niyas Puzhakkal (Int. J. Imaging Syst. Technol., 2023)

Using Attention-UNet Models to Predict Protein Contact Maps. - V. A. Jisna; Ajay Abhaysing Pawar; P. B. Jayaraj (J. Comput. Biol., 2024)

Prior-guided generative adversarial network for mammogram synthesis. - Annie Julie Joseph; Priyansh Dwivedi; Jiffy Joseph; Seenia Francis; P. N. Pournami; P. B. Jayaraj; Ashna V. Shamsu; Praveen Sankaran (Biomed. Signal Process. Control., 2024)