Sohini Roychowdhury

Orcid: 0009-0008-7575-9333

According to our database1, Sohini Roychowdhury authored at least 46 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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
NUMSnet: Nested-U Multi-Class Segmentation Network for 3D Medical Image Stacks.
Inf., 2023

Hallucination-minimized Data-to-answer Framework for Financial Decision-makers.
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

Video-Data Pipelines for Machine Learning Applications.
CoRR, 2021

SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology.
CoRR, 2021

OPAM: Online Purchasing-behavior Analysis using Machine learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Cirrus: A Long-range Bi-pattern LiDAR Dataset.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology Classification.
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

AV-SLAM: Autonomous Vehicle SLAM with Gravity Direction Initialization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Collision Avoidance by Utilizing Dynamic Road Friction Information.
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

Range Adaptation for 3D Object Detection in LiDAR.
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

Fast Proposals for Image and Video Annotation Using Modified Echo State Networks.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Azure-Based Smart Monitoring System for Anemia-Like Pallor.
Future Internet, 2017

Computer aided detection of anemia-like pallor.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Optic Disc Boundary and Vessel Origin Segmentation of Fundus Images.
IEEE J. Biomed. Health Informatics, 2016

Automated OCT Segmentation for Images with DME.
CoRR, 2016

Blind Analysis of CT Image Noise Using Residual Denoised Images.
CoRR, 2016

AG-MIC: Azure-Based Generalized Flow for Medical Image Classification.
IEEE Access, 2016

Artery/vein classification of retinal blood vessels using feature selection.
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

Classification of large-scale fundus image data sets: A cloud-computing framework.
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

Application of big data analytics for automated estimation of CT image quality.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Topic modeling for management sciences: A network-based approach.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Automated selection of uniform regions for CT image quality detection.
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

Iterative Vessel Segmentation of Fundus Images.
IEEE Trans. Biomed. Eng., 2015

A Survey of the Trends in Facial and Expression Recognition Databases and Methods.
CoRR, 2015

Facial Expression Detection using Patch-based Eigen-face Isomap Networks.
CoRR, 2015

3-D localization of Diabetic Macular Edema using OCT thickness maps.
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
DREAM: Diabetic Retinopathy Analysis Using Machine Learning.
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

Automated denoising and segmentation of optical coherence tomography images.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Screening fundus images for diabetic retinopathy.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012


  Loading...