Anuradha Kar
Orcid: 0000-0002-2543-1697
According to our database1,
Anuradha Kar
authored at least 14 papers
between 2015 and 2022.
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Bibliography
2022
Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets.
PLoS Comput. Biol., 2022
Towards Improving Bio-Image Segmentation Quality Through Ensemble Post-processing of Deep Learning and Classical 3D Segmentation Pipelines.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2022
Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2020
MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems.
CoRR, 2020
2019
Convolutional Neural Network Implementation for Eye-Gaze Estimation on Low-Quality Consumer Imaging Systems.
IEEE Trans. Consumer Electron., 2019
GazeVisual: A Practical Software Tool and Web Application for Performance Evaluation of Eye Tracking Systems.
IEEE Trans. Consumer Electron., 2019
2018
Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations.
Sensors, 2018
Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems.
CoRR, 2018
Proceedings of the IEEE Games, Entertainment, Media Conference, 2018
Gaze Visual - A Graphical Software Tool for Performance Evaluation of Eye Gaze Estimation Systems.
Proceedings of the IEEE Games, Entertainment, Media Conference, 2018
2017
A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms.
IEEE Access, 2017
2016
Towards the development of a standardized performance evaluation framework for eye gaze estimation systems in consumer platforms.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Eye-gaze systems - An analysis of error sources and potential accuracy in consumer electronics use cases.
Proceedings of the IEEE International Conference on Consumer Electronics, 2016
2015
IEEE Consumer Electron. Mag., 2015