Sharath M. Shankaranarayana

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Depth Estimation

Diabetic Retinopathy

Active Learning

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Sharath M. Shankaranarayana, Anubhab Samal, Chikka Veera Raghavendra, Vijay Sankar, Arindam Dey, Sangam Kumar Singh
A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data. COMSNETS (2024)
Davor Runje, Sharath M. Shankaranarayana
Constrained Monotonic Neural Networks. ICML (2023)
Sharath M. Shankaranarayana
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees. CoRR (2023)
Sharath M. Shankaranarayana
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees. AIMLSystems (2023)
Davor Runje, Sharath M. Shankaranarayana
Constrained Monotonic Neural Networks. CoRR (2022)
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
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41 (10) (2022)
Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwénolé 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
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR (2022)
Sharath M. Shankaranarayana, Davor Runje
Attention Augmented Convolutional Transformer for Tabular Time-series. CoRR (2021)
Sharath M. Shankaranarayana, Davor Runje
Attention Augmented Convolutional Transformer for Tabular Time-series. ICDM (Workshops) (2021)
Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
A context based deep learning approach for unbalanced medical image segmentation. CoRR (2020)
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
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020)
Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. ISBI (2020)
Sharath M. Shankaranarayana
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report. CoRR (2020)
Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks. CoRR (2020)
Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep Network for Capacitive ECG Denoising. CoRR (2019)
Sharath M. Shankaranarayana, Davor Runje
ALIME: Autoencoder Based Approach for Local Interpretability. CoRR (2019)
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
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR (2019)
Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep Network for Capacitive ECG Denoising. MeMeA (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. CoRR (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. MLMI@MICCAI (2019)
Sharath M. Shankaranarayana, Davor Runje
ALIME: Autoencoder Based Approach for Local Interpretability. IDEAL (1) (2019)
Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. CoRR (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. EMBC (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
Joint shape learning and segmentation for medical images using a minimalistic deep network. CoRR (2019)
Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. CoRR (2019)
Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation. CoRR (2019)
Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam
A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images. COMPAY/OMIA@MICCAI (2018)
Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam
ECGNet: Deep Network for Arrhythmia Classification. MeMeA (2018)
Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam
Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks. FIFI/OMIA@MICCAI (2017)