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2020 – today
- 2023
[j2]Hamail Ayaz, Hanieh Khosravi, Ian McLoughlin
, David Tormey, Yelda Özsunar, Saritha Unnikrishnan:
A random graph-based neural network approach to assess glioblastoma progression from perfusion MRI. Biomed. Signal Process. Control. 86(Part C): 105286 (2023)- [c4]Oladosu Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan:
Lightweight Deep Learning for Breast Cancer Diagnosis Based on Slice Selection Techniques. AICS 2023: 1-4 - 2022
- [c3]Hamail Ayaz, David Tormey, Ian McLoughlin, Muhammad Ahmad, Saritha Unnikrishnan:
Hyperspectral Brain Tissue Classification using a Fast and Compact 3D CNN Approach. IPAS 2022: 1-4 - 2021
- [c2]Hamail Ayaz, Muhammad Ahmad, David Tormey, Ian McLoughlin, Saritha Unnikrishnan:
A Hybrid Deep Model for Brain Tumor Classification. MICAD 2021: 282-291 - 2020
- [j1]Saritha Unnikrishnan, John Donovan, Russell Macpherson, David Tormey:
An Integrated Histogram-Based Vision and Machine-Learning Classification Model for Industrial Emulsion Processing. IEEE Trans. Ind. Informatics 16(9): 5948-5955 (2020)
2010 – 2019
- 2018
- [c1]Saritha Unnikrishnan, John Donovan, Russell Macpherson, David Tormey:
Machine vision for the quality assessment of emulsions in pharmaceutical processing. UV 2018: 1-6
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