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ORCIDElagiri Ramalingam Rajkumar
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2020 – today
- 2023
[j1]Kumar T. Rajamani
, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich:
Attention-augmented U-Net (AA-U-Net) for semantic segmentation. Signal Image Video Process. 17(4): 981-989 (2023)- 2022
- [c6]Srividya Tirunellai Rajamani, Kumar Rajamani, Priya Rani, Rashmita Barick, Ramasubramanya M. S, Sridevi V. Aithal, Elagiri Ramalingam Rajkumar, Sahana D. Gowda, Björn W. Schuller:
Novel no-reference multi-dimensional perceptual similarity metric. EMBC 2022: 2045-2048
2010 – 2019
- 2016
- [c5]R. Santhakumar, Elagiri Ramalingam Rajkumar, Megha Tandur, K. S. Geetha, Kumar Thirunellai Rajamani, Girish Haritz:
A fast algorithm for optic disc segmentation in fundus images. ICACCI 2016: 716-719 - 2015
- [c4]Priya Rani, Elagiri Ramalingam Rajkumar, Kumar T. Rajamani, Melih Kandemir, Digvijay Singh:
Detection of Retinopathy of Prematurity using multiple instance learning. ICACCI 2015: 2233-2237 - 2013
- [c3]N. Priyadarshini, Elagiri Ramalingam Rajkumar:
Finite Element Modeling of scattered electromagnetic waves for stroke analysis. EMBC 2013: 2404-2407 - [c2]Rucha Deshpande, Elagiri Ramalingam Rajkumar, Nachiappan Chockalingam, Roozbeh Naemi, Helen Branthwaite, Lakshmi Sundar:
An automated segmentation technique for the processing of foot ultrasound images. ISSNIP 2013: 380-383 - 2012
- [c1]Elagiri Ramalingam Rajkumar, Javad Safaie, Rishabh Gupta, Deepak Pattnaik, Hamid Abrishami Moghaddam, Reinhard Grebe, Fabrice Wallois:
Development of an autonomic portable single-board computer based high resolution NIRS device for microcirculation analysis. EMBC 2012: 3235-3238
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