Sohini Roychowdhury
Orcid: 0009-0008-7575-9333
According to our database1,
Sohini Roychowdhury
authored at least 48 papers
between 2012 and 2024.
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Bibliography
2024
CoRR, 2024
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
Inf., 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Unsupervised Bengali Text Summarization Using Sentence Embedding and Spectral Clustering.
Proceedings of the 19th International Conference on Natural Language Processing, 2022
2021
QU-net++: Image Quality Detection Framework for Segmentation of 3D Medical Image Stacks.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Deep-ReAP: Deep Representations And Partial label learning for Multi-pathology Classification.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework.
CoRR, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.
IEEE J. Biomed. Health Informatics, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans.
Comput. Methods Programs Biomed., 2018
Machine Learning Models for Road Surface and Friction Estimation using Front-Camera Images.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
IEEE J. Biomed. Health Informatics, 2016
IEEE Access, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Automated detection of neovascularization for proliferative diabetic retinopathy screening.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Non-deep CNN for multi-modal image classification and feature learning: An Azure-based model.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification.
IEEE J. Biomed. Health Informatics, 2015
CoRR, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A generalized flow for multi-class and binary classification tasks: An Azure ML approach.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
IEEE J. Biomed. Health Informatics, 2014
2013
Automated localization of cysts in diabetic macular edema using optical coherence tomography images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012