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ORCIDM. Subin Sahayam
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2020 – today
- 2022
[j2]M. Subin Sahayam
, Rahul Nenavath, Umarani Jayaraman, Surya Prakash:
Brain tumor segmentation using a hybrid multi resolution U-Net with residual dual attention and deep supervision on MR images. Biomed. Signal Process. Control. 78: 103939 (2022)- [j1]Shomona Gracia Jacob, Majdi Mohammed Bait Ali Sulaiman, Bensujin Bennet, R. Vijayaraghavan, M. Subin Sahayam, N. Thiviyakalyani, S. Shriram, Thushara Hameed:
A graphical approach for outlier detection in gene-protein mapping of cognitive ailments: an insight into neurodegenerative disorders. Netw. Model. Anal. Health Informatics Bioinform. 11(1): 22 (2022) - 2021
- [c3]M. Subin Sahayam, J. Silambarasan, Umarani Jayaraman:
Detection of Cataract from Fundus Images Using Deep Transfer Learning. CVIP (1) 2021: 175-186 - 2020
- [c2]M. Subin Sahayam, Umarani Jayaraman, Bhaskara Teja:
Multi-class Glioma Classification from MRI Images Using 3D Convolutional Neural Networks. CVIP (1) 2020: 327-337
2010 – 2019
- 2019
- [c1]M. Subin Sahayam, Nanda H. Krishna, Umarani Jayaraman:
Brain Tumour Segmentation on MRI Images by Voxel Classification Using Neural Networks, and Patient Survival Prediction. BrainLes@MICCAI (1) 2019: 284-294
Coauthor Index
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