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Sharath M Shankaranarayana
Sharath M Shankaranarayana
Research Data Scientist, Airt Research
Verified email at airt.ai - Homepage
Title
Cited by
Cited by
Year
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
JI Orlando, H Fu, JB Breda, K van Keer, DR Bathula, A Diaz-Pinto, R Fang, ...
Medical image analysis 59, 101570, 2020
2652020
Joint optic disc and cup segmentation using fully convolutional and adversarial networks
SM Shankaranarayana, K Ram, K Mitra, M Sivaprakasam
Fetal, infant and ophthalmic medical image analysis, 168-176, 2017
982017
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation
B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, J Joseph, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
692019
ALIME: Autoencoder based approach for local interpretability
SM Shankaranarayana, D Runje
International conference on intelligent data engineering and automated …, 2019
602019
Fully convolutional networks for monocular retinal depth estimation and optic disc-cup segmentation
SM Shankaranarayana, K Ram, K Mitra, M Sivaprakasam
IEEE journal of biomedical and health informatics 23 (4), 1417-1426, 2019
532019
RespNet: A deep learning model for extraction of respiration from photoplethysmogram
V Ravichandran, B Murugesan, V Balakarthikeyan, K Ram, SP Preejith, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
402019
Ecgnet: Deep network for arrhythmia classification
B Murugesan, V Ravichandran, K Ram, SP Preejith, J Joseph, ...
2018 IEEE International Symposium on Medical Measurements and Applications …, 2018
402018
Effects of refractive index mismatch in optical CT imaging of polymer gel dosimeters
R Manjappa, S Makki S, R Kumar, R Kanhirodan
Medical physics 42 (2), 750-759, 2015
122015
Deep network for capacitive ECG denoising
V Ravichandran, B Murugesan, SM Shankaranarayana, K Ram, ...
2019 IEEE International Symposium on Medical Measurements and Applications …, 2019
112019
A context based deep learning approach for unbalanced medical image segmentation
B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1949-1953, 2020
72020
Conv-MCD: A plug-and-play multi-task module for medical image segmentation
B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, J Joseph, ...
International Workshop on Machine Learning in Medical Imaging, 292-300, 2019
52019
Restoration of neonatal retinal images
SM Shankaranarayana, K Ram, A Vinekar, K Mitra, M Sivaprakasam
Restoration, 2016
42016
Hybrid analysis framework for prediction of outcomes in clinical trials
R Krishnan, J Domenech, R Jagannathan, SM Shankaranarayana
US Patent 11,101,043, 2021
32021
Fully 3D refraction correction dosimetry system
R Manjappa, SS Makki, R Kumar, RM Vasu, R Kanhirodan
Physics in Medicine & Biology 61 (4), 1722, 2016
32016
ADAM challenge: detecting age-related macular degeneration from fundus images
H Fang, F Li, H Fu, X Sun, X Cao, F Lin, J Son, S Kim, G Quellec, S Matta, ...
IEEE Transactions on Medical Imaging 41 (10), 2828-2847, 2022
22022
Attention Augmented Convolutional Transformer for Tabular Time-series
SM Shankaranarayana, D Runje
2021 International Conference on Data Mining Workshops (ICDMW), 537-541, 2021
22021
Automated heuristic deep learning-based modelling
R Krishnan, J Domenech, R Jagannathan, SM Shankaranarayana
US Patent App. 16/590,249, 2020
22020
Artificial intelligence enabled assessment of damage to automobiles
R Krishnan, J Domenech
US Patent App. 16/587,934, 2020
22020
Joint shape learning and segmentation for medical images using a minimalistic deep network
B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, ...
arXiv preprint arXiv:1901.08824, 2019
22019
Constrained Monotonic Neural Networks
D Runje, SM Shankaranarayana
arXiv preprint arXiv:2205.11775, 2022
12022
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Articles 1–20