Saritha Unnikrishnan

According to our database, Saritha Unnikrishnan authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

Deep learning advances in breast medical imaging with a focus on clinical readiness and radiologists' perspective.

Oladosu Oladimeji, Abdullah-Al-Zubaer Imran, Xiaoqin Wang, Saritha Unnikrishnan

Image Vis. Comput., 2025

Post-hoc eXplainable AI methods for analyzing medical images of gliomas ( - A review for clinical applications).

Hamail Ayaz, Esra Sümer, Esin Ozturk-Isik, Thomas C. Booth, David Tormey, Ian McLoughlin, Saritha Unnikrishnan

Comput. Biol. Medicine, 2025

A Dual Modular Clock Algorithm for Cognitive Radio-based Emergency Response Network.

Zahid Ali, Saim Ghafoor, Saritha Unnikrishnan, Eoghan Furey, Ian McLoughlin

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

Optimizing BI-RADS 4 Lesion Assessment Using Lightweight Convolutional Neural Network with CBAM in Contrast Enhanced Mammography.

Oladosu Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

2023

A random graph-based neural network approach to assess glioblastoma progression from perfusion MRI.

Hamail Ayaz, Hanieh Khosravi, Ian McLoughlin, David Tormey, Yelda Özsunar, Saritha Unnikrishnan

Biomed. Signal Process. Control., September, 2023

Lightweight Deep Learning for Breast Cancer Diagnosis Based on Slice Selection Techniques.

Oladosu Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan

Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

2022

Hyperspectral Brain Tissue Classification using a Fast and Compact 3D CNN Approach.

Hamail Ayaz, David Tormey, Ian McLoughlin, Muhammad Ahmad, Saritha Unnikrishnan

Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

2021

A Hybrid Deep Model for Brain Tumor Classification.

Hamail Ayaz, Muhammad Ahmad, David Tormey, Ian McLoughlin, Saritha Unnikrishnan

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

2020

An Integrated Histogram-Based Vision and Machine-Learning Classification Model for Industrial Emulsion Processing.

Saritha Unnikrishnan, John Donovan, Russell Macpherson, David Tormey

IEEE Trans. Ind. Informatics, 2020

2018

Machine vision for the quality assessment of emulsions in pharmaceutical processing.

Saritha Unnikrishnan, John Donovan, Russell Macpherson, David Tormey

Proceedings of the 4th International Conference on Universal Village, 2018