Subin Sahayam

According to our database, Subin Sahayam authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Artery-Vein Segmentation from Fundus Images using Deep Learning.

Sharan SK, Subin Sahayam, Umarani Jayaraman, A. Lakshmi Priya

CoRR, October, 2025

2024

Detection of Under-represented Samples Using Dynamic Batch Training for Brain Tumor Segmentation from MR Images.

Subin Sahayam, John Michael Sujay Zakkam, Yoga Sri Varshan V, Umarani Jayaraman

CoRR, 2024

Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images.

Yoga Sri Varshan V, Hitesh Gupta Kattamuri, Subin Sahayam, Umarani Jayaraman

CoRR, 2024

Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images.

Subin Sahayam, Umarani Jayaraman

CoRR, 2024

CoDeiT: Contrastive Data-Efficient Transformers for Deepfake Detection.

John Michael Sujay Zakkam, Umarani Jayaraman, Subin Sahayam, Ajita Rattani

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Brain Tumor Segmentation with Federated Learning: A BraTS2020 Dataset.

Gajula Kavyasri, A. Lakshmi Priya, Umarani Jayaraman, Subin Sahayam

Proceedings of the Computer Vision and Image Processing - 9th International Conference, 2024

2023

Melanoma classification from dermatoscopy images using knowledge distillation for highly imbalanced data.

Anil Kumar Adepu, Subin Sahayam, Umarani Jayaraman, Rashmika Arramraju

Comput. Biol. Medicine, March, 2023

Can we learn better with hard samples?

Subin Sahayam, John Michael Sujay Zakkam, Umarani Jayaraman

CoRR, 2023

An Algorithm to Calculate Retinal Vessel Diameter in Fundus Images.

Yoga Sri Varshan V, Subin Sahayam, Umarani Jayaraman

Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023

2022

Brain tumor segmentation using a hybrid multi resolution U-Net with residual dual attention and deep supervision on MR images.

Subin Sahayam, Rahul Nenavath, Umarani Jayaraman, Surya Prakash

Biomed. Signal Process. Control., 2022

A Study on an Ensemble Model for Automatic Classification of Melanoma from Dermoscopy Images.

Anil Kumar Adepu, Subin Sahayam, Rashmika Arramraju, Umarani Jayaraman

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2021

Ensemble Models for Multi-class Classification of Diabetic Retinopathy.

Subin Sahayam, Tutturu Lakshmi Manasa, Umarani Jayaraman

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Detection of Cataract from Fundus Images Using Deep Transfer Learning.

Subin Sahayam, J. Silambarasan, Umarani Jayaraman

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020

Multi-class Glioma Classification from MRI Images Using 3D Convolutional Neural Networks.

Subin Sahayam, Umarani Jayaraman, Bhaskara Teja

Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

2019

Brain Tumour Segmentation on MRI Images by Voxel Classification Using Neural Networks, and Patient Survival Prediction.

Subin Sahayam, Nanda H. Krishna, Umarani Jayaraman

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019