Sharath M. Shankaranarayana

According to our database, Sharath M. Shankaranarayana authored at least 22 papers between 2017 and 2024.

Collaborative distances:

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

2024

A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data.

Sharath M. Shankaranarayana, Anubhab Samal, Chikka Veera Raghavendra, Vijay Sankar, Arindam Dey, Sangam Kumar Singh

Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

2023

Constrained Monotonic Neural Networks.

Davor Runje, Sharath M. Shankaranarayana

Proceedings of the International Conference on Machine Learning, 2023

Model Uncertainty based Active Learning on Tabular Data using Boosted Trees.

Sharath M. Shankaranarayana

Proceedings of the Third International Conference on AI-ML Systems, 2023

2022

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images.

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

IEEE Trans. Medical Imaging, 2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

CoRR, 2022

2021

Attention Augmented Convolutional Transformer for Tabular Time-series.

Sharath M. Shankaranarayana, Davor Runje

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.

José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic

Medical Image Anal., 2020

Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report.

Sharath M. Shankaranarayana

CoRR, 2020

Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks.

Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam

CoRR, 2020

A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation.

Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation.

Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam

IEEE J. Biomed. Health Informatics, 2019

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.

José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic

CoRR, 2019

RespNet: A deep learning model for extraction of respiration from photoplethysmogram.

Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam

CoRR, 2019

Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation.

Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam

CoRR, 2019

Joint shape learning and segmentation for medical images using a minimalistic deep network.

Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam

CoRR, 2019

Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation.

Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Deep Network for Capacitive ECG Denoising.

Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019

ALIME: Autoencoder Based Approach for Local Interpretability.

Sharath M. Shankaranarayana, Davor Runje

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation.

Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images.

Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

ECGNet: Deep Network for Arrhythmia Classification.

Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam

Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018

2017

Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks.

Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017