Sharath M. Shankaranarayana

30 papers A* 1Misc 1Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Attention-guided Adaptive Subsampling. CoRR Sharath M. Shankaranarayana, Soumava Kumar Roy, Prasad Sudhakar, Chandan Aladahalli
2024	Misc	`conf`	A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data. COMSNETS Sharath M. Shankaranarayana, Anubhab Samal, Chikka Veera Raghavendra, Vijay Sankar, Arindam Dey, Sangam Kumar Singh
2023	A*	`conf`	Constrained Monotonic Neural Networks. ICML Davor Runje, Sharath M. Shankaranarayana
2023	—	`conf`	Model Uncertainty based Active Learning on Tabular Data using Boosted Trees. AIMLSystems Sharath M. Shankaranarayana
2023	J	`jnl`	Model Uncertainty based Active Learning on Tabular Data using Boosted Trees. CoRR Sharath M. Shankaranarayana
2022	J	`jnl`	ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 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
2022	J	`jnl`	ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR 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
2021	—	`conf`	Attention Augmented Convolutional Transformer for Tabular Time-series. ICDM (Workshops) Sharath M. Shankaranarayana, Davor Runje
2021	J	`jnl`	Attention Augmented Convolutional Transformer for Tabular Time-series. CoRR Sharath M. Shankaranarayana, Davor Runje
2020	—	`conf`	A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. ISBI Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
2020	J	`jnl`	A context based deep learning approach for unbalanced medical image segmentation. CoRR Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
2020	J	`jnl`	Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report. CoRR Sharath M. Shankaranarayana
2020	J	`jnl`	Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks. CoRR Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam
2020	J	`jnl`	REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 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
2019	—	`conf`	ALIME: Autoencoder Based Approach for Local Interpretability. IDEAL (1) Sharath M. Shankaranarayana, Davor Runje
2019	J	`jnl`	ALIME: Autoencoder Based Approach for Local Interpretability. CoRR Sharath M. Shankaranarayana, Davor Runje
2019	—	`conf`	Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. MLMI@MICCAI Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
2019	J	`jnl`	Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. CoRR Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
2019	—	`conf`	Deep Network for Capacitive ECG Denoising. MeMeA Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
2019	J	`jnl`	Deep Network for Capacitive ECG Denoising. CoRR Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
2019	J	`jnl`	Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation. CoRR Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam
2019	J	`jnl`	Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation. IEEE J. Biomed. Health Informatics Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam
2019	J	`jnl`	Joint shape learning and segmentation for medical images using a minimalistic deep network. CoRR Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
2019	—	`conf`	Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. EMBC Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
2019	J	`jnl`	Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. CoRR Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
2019	J	`jnl`	REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR 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
2019	J	`jnl`	RespNet: A deep learning model for extraction of respiration from photoplethysmogram. CoRR Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam
2018	—	`conf`	A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images. COMPAY/OMIA@MICCAI Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam
2018	—	`conf`	ECGNet: Deep Network for Arrhythmia Classification. MeMeA Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam
2017	—	`conf`	Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks. FIFI/OMIA@MICCAI Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam