2022

Antony, JV, Koya R, Pournami PN, Nair GG, Balakrishnan JP.  2022.  Protein secondary structure assignment using residual networks, August. Journal of molecular modeling. 28:269., Number 9 AbstractWebsite

Francis, S, Pooloth G, Singam S, Puzhakkal N, Narayanan P, Balakrishnan J.  2022.  SABOS‐Net: Self‐supervised attention based network for automatic organ segmentation of head and neck CT images, 09. International Journal of Imaging Systems and Technology. Abstract

Joseph, J, Hemanth C, Narayanan P, Balakrishnan J, Puzhakkal N.  2022.  Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR‐only radiation therapy, 06. International Journal of Imaging Systems and Technology. 32 Abstract

Balakrishnan, B, Akondi S, Fathaah S, Raut A, N PP, Balakrishnan J.  2022.  Cervix type detection using a self‐supervision boosted object detection technique, 01. International Journal of Imaging Systems and Technology. 32 Abstract

Francis, S, Balakrishnan J, N PP, Thomas M, Jose A, Binu A, Puzhakkal N.  2022.  ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images, 01. Physical and engineering sciences in medicine. 45 Abstract

Francis, S, Bagaria H, B JP, N PP, Puzhakkal N.  2022.  Auto Contouring of OAR in Pelvic CT Images Using an Encoder-Decoder Based Deep Residual Network. 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). :1-6. Abstract

Jiffy Joseph, Rita Prasanth, SAMPJNPPNPB.  2022.  CT Image Synthesis from MR Image using Edge-aware Generative Adversarial Network. : 7th International Conference on Computer Vision and Image Processing (CVIP2022) Abstract

Viswajit Vinod Nair, Jayaraj, Pradeep SP, Nair VS, Pournami PN, Gopakumar G, Jayaraj PB.  2022.  Deep Sequence Models for Ligand-Based Virtual Screening. Journal of Computational Biophysics and Chemistry. 21:207-217., Number 02 AbstractWebsite

R.S., RR, R. R, Shahreyar MS, Raut A, P.N. P, Kalady S, P.B. J.  2022.  DeepNR: An adaptive deep reinforcement learning based NoC routing algorithm. Microprocessors and Microsystems. 90:104485. AbstractWebsite

Kaur, G, Joseph AJ, N PP.  2022.  Patch-based All Convolutional Neural Network Model for Classification of Benign and Malignant Mammograms. 2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). 1:448-455. Abstract

Joseph, J, P.N. P, P.B. J.  2022.  Supervised Fan Beam Computed Tomography Image Synthesis using 3D CycleGAN. 2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). 1:81-86. Abstract

2021

Francis, S, Suresh D, Nath S, Lakshmi D R S, B JP, Puzhakkal N, N PP.  2021.  Monte Carlo Simulation of Linear Accelerator for Dosimetry Analysis. 2021 6th International Conference for Convergence in Technology (I2CT). :1-7. Abstract

Joseph, AJ, Pournami PN.  2021.  Multifractal theory based breast tissue characterization for early detection of breast cancer. Chaos, Solitons & Fractals. 152:111301. AbstractWebsite

Pournami P.N., Subhash K.M., RCV.  2021.  Opportunities and Challenges in Technical Education in the Post-COVID Scenario. 31st Annual State Faculty Convention of the ISTE Kerala Section. Abstract

Antony, J, Penikalapati A, Reddy VKJ, Pournami PN, Jayaraj PB.  2021.  Towards Protein Tertiary Structure Prediction Using LSTM/BLSTM. Advances in Computing and Network Communications. (Thampi, Sabu M., Gelenbe, Erol, Atiquzzaman, Mohammed, Chaudhary, Vipin, Li, Kuan-Ching, Eds.).:65–77., Singapore: Springer Singapore Abstract

2019

Dileep, MR, Pournami PN.  2019.  AyurLeaf: A Deep Learning Approach for Classification of Medicinal Plants. TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON). :321-325. Abstract

Pournami, PN, Govindan VK.  2019.  Highly Repeatable Feature Point Detection in Images Using Laplacian Graph Centrality. Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). (Pandian, Durai, Fernando, Xavier, Baig, Zubair, Shi, Fuqian, Eds.).:687–697., Cham: Springer International Publishing Abstract

Maddaiah, PN, Pournami PN.  2019.  Image Registration Using Single Swarm PSO with Refined Search Space Exploration. Pattern Recognition and Machine Intelligence. (Deka, Bhabesh, Maji, Pradipta, Mitra, Sushmita, Bhattacharyya, Dhruba Kumar, Bora, Prabin Kumar, Pal, Sankar Kumar, Eds.).:337–346., Cham: Springer International Publishing Abstract

2018

N, PP, Subhash K, Joseph P.  2018.  Characterizing EMG Signals using Aggregated CENSUS Transform, 11. Abstract

Societydoruge, S, Pournami PN.  2018.  Bi-Histogram Equalization with Adaptive Multi-Plateau Limits for Enhancing Magnetic Resonance Images. 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). :1027-1032. Abstract

Vijay, ST, Pournami PN.  2018.  Feature Based Image Registration using Heuristic Nearest Neighbour Search. 2018 22nd International Computer Science and Engineering Conference (ICSEC). :1-3. Abstract

2017

Subhash, KM, Pournami PN, Joseph PK.  2017.  Census transform based feature extraction of EMG signals for neuromuscular disease classification. 2017 IEEE 15th Student Conference on Research and Development (SCOReD). :499-503. Abstract

Pournami, PN, Govindan VK.  2017.  Interest point detection based on Laplacian energy of local image network. 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). :58-62. Abstract

2012

Smith, DM, N PP.  2012.  Engineering Computation with MATLAB. : Pearson

Kanakaraj, S, V.K G, P.N P.  2012.  A Fast Brain Image Registration Using Axial Transformation. Wireless Networks and Computational Intelligence Communications in Computer and Information Science. 292:206-212.

N, PP, S SG, Govindan VK.  2012.  Threshold Accepting Approach for Image Registration. UACEE International Journal of Computer Science and its Applications. 2(2)

Kanakaraj, S, GovindanV.K., P.N. P.  2012.  A Fast Brain Image Registration Using Axial Transformation. Wireless Networks and Computational Intelligence. (Venugopal, K. R., Patnaik, L. M., Eds.).:206–212., Berlin, Heidelberg: Springer Berlin Heidelberg Abstract

Machine Learning in Computer Vision

Deep Learning Techniques in Computer Vision

Medical Image Processing and Analysis

Medical Image Synthesis using Generative Adversarial Networks and Variational Auto Encoders

Auto-contouring of Computed Tomography images

AI Solutions in Digital Pathology

Nature Inspired Algorithms for Optimisation of Image Registration

Application of Heuristics in Optimisation of Image Registration

Application of Deep Learning Techniques in Image Registration

Non-linear Analysis of Screening Mammograms

Image compression and latent space representations

CS6173D Image Processing

Semester: Winter

Offered: 2020

CS1001 Foundations of Computing

Semester:  Winter

Offered: 2012

CS3093 Networks Laboratory

Semester: Winter

Offered:  2011

CS6192D Machine Learning

CS4023D Artificial Intelligence

CS4044D Machine Learning

CS4092D Machine Learning Laboratory

CS4043 Image Processing

CS4093D Image Processing Laboratory

CS3006 Computer Networks

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