Subin Sahayam

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Intensity Inhomogeneity

Automatic Classification

Brain Tumor Segmentation

Convolutional Neural Networks

Top Venues

Biomed. Signal Process. Control.

Publications

Subin Sahayam, Umarani Jayaraman
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images. CoRR (2024)
Yoga Sri Varshan V, Subin Sahayam, Umarani Jayaraman
An Algorithm to Calculate Retinal Vessel Diameter in Fundus Images. ICVGIP (2023)
Subin Sahayam, John Zakkam, Umarani Jayaraman
Can we learn better with hard samples? CoRR (2023)
Anil Kumar Adepu, Subin Sahayam, Umarani Jayaraman, Rashmika Arramraju
Melanoma classification from dermatoscopy images using knowledge distillation for highly imbalanced data. Comput. Biol. Medicine 154 (2023)
Anil Kumar Adepu, Subin Sahayam, Rashmika Arramraju, Umarani Jayaraman
A Study on an Ensemble Model for Automatic Classification of Melanoma from Dermoscopy Images. CVIP (1) (2022)
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 (2022)
Subin Sahayam, Tutturu Lakshmi Manasa, Umarani Jayaraman
Ensemble Models for Multi-class Classification of Diabetic Retinopathy. PReMI (2021)
Subin Sahayam, J. Silambarasan, Umarani Jayaraman
Detection of Cataract from Fundus Images Using Deep Transfer Learning. CVIP (1) (2021)
Subin Sahayam, Umarani Jayaraman, Bhaskara Teja
Multi-class Glioma Classification from MRI Images Using 3D Convolutional Neural Networks. CVIP (1) (2020)
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)