Sohini Roychowdhury

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 50

Top Topics

Diabetic Retinopathy

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Sohini Roychowdhury, Marko Krema, Anvar Mahammad, Brian Moore, Arijit Mukherjee, Punit Prakashchandra
ERATTA: Extreme RAG for Table To Answers with Large Language Models. CoRR (2024)
Sohini Roychowdhury
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers. WSDM (2024)
Sohini Roychowdhury
NUMSnet: Nested-U Multi-Class Segmentation Network for 3D Medical Image Stacks. Inf. 14 (6) (2023)
Sohini Roychowdhury, Andres Alvarez, Brian Moore, Marko Krema, Maria Paz Gelpi, Federico Martin Rodriguez, Angel Rodriguez, Jose Ramon Cabrejas, Pablo Martinez Serrano, Punit Agrawal, Arijit Mukherjee
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers. CoRR (2023)
Sohini Roychowdhury
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks. CoRR (2023)
Sohini Roychowdhury
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers. CoRR (2023)
Sohini Roychowdhury, Andres Alvarez, Brian Moore, Marko Krema, Maria Paz Gelpi, Punit Agrawal, Federico Martin Rodriguez, Angel Rodriguez, Jose Ramon Cabrejas, Pablo Martinez Serrano, Arijit Mukherjee
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers. BigData (2023)
Sohini Roychowdhury, Kamal Sarkar, Arka Maji
Unsupervised Bengali Text Summarization Using Sentence Embedding and Spectral Clustering. ICON (2022)
Sohini Roychowdhury
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification. CoRR (2022)
Sohini Roychowdhury
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification. IJCNN (2022)
Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li
OPAM: Online Purchasing-behavior Analysis using Machine learning. IJCNN (2021)
Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
Cirrus: A Long-range Bi-pattern LiDAR Dataset. ICRA (2021)
Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li
OPAM: Online Purchasing-behavior Analysis using Machine learning. CoRR (2021)
Sohini Roychowdhury, Kwok Sun Tang, Mohith Ashok, Anoop Sanka
SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology Classification. EMBC (2021)
Sohini Roychowdhury
Deep-ReAP: Deep Representations And Partial label learning for Multi-pathology Classification. EMBC (2021)
Sohini Roychowdhury, Kwok Sun Tang, Mohith Ashok, Anoop Sanka
SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology. CoRR (2021)
Sohini Roychowdhury
QU-net++: Image Quality Detection Framework for Segmentation of 3D Medical Image Stacks. CoRR (2021)
Sohini Roychowdhury, James Y. Sato
Video-Data Pipelines for Machine Learning Applications. CoRR (2021)
Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. CoRR (2020)
Sohini Roychowdhury
Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images. ICPR (2020)
Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
Cirrus: A Long-range Bi-pattern LiDAR Dataset. CoRR (2020)
Kaan Yilmaz, Baris Suslu, Sohini Roychowdhury, L. Srikar Muppirisetty
AV-SLAM: Autonomous Vehicle SLAM with Gravity Direction Initialization. ICPR (2020)
Sohini Roychowdhury, Wenxi Li, Ebrahim Alareqi, Akhilesh Pandita, Ao Liu, Joakim Söderberg
Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework. CoRR (2020)
Sohini Roychowdhury
Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images. CoRR (2020)
Jonas Herzfeld, Sanjiv Thottathodhi, Mats Jonasson, L. Srikar Muppirisetty, Sohini Roychowdhury, Jonas Sjöberg
Collision Avoidance by Utilizing Dynamic Road Friction Information. ACSSC (2020)
Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. ACSSC (2020)
Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu
Range Adaptation for 3D Object Detection in LiDAR. ICCV Workshops (2019)
G. N. Girish, Banoth Saikumar, Sohini Roychowdhury, Abhishek R. Kothari, Jeny Rajan
Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation. EMBC (2019)
Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu
Range Adaptation for 3D Object Detection in LiDAR. CoRR (2019)
G. N. Girish, Bibhash Thakur, Sohini Roychowdhury, Abhishek R. Kothari, Jeny Rajan
Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Sohini Roychowdhury, Minming Zhao, Andreas Wallin, Niklas Ohlsson, Mats Jonasson
Machine Learning Models for Road Surface and Friction Estimation using Front-Camera Images. IJCNN (2018)
Sohini Roychowdhury, L. Srikar Muppirisetty
Fast Proposals for Image and Video Annotation Using Modified Echo State Networks. ICMLA (2018)
G. N. Girish, V. A. Anima, Abhishek R. Kothari, P. V. Sudeep, Sohini Roychowdhury, Jeny Rajan
A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. Comput. Methods Programs Biomed. 153 (2018)
Sohini Roychowdhury, Donny Sun, Matthew Bihis, Johnny Ren, Paul Hage, Humairat H. Rahman
Computer aided detection of anemia-like pallor. BHI (2017)
Sohini Roychowdhury, Paul Hage, Joseph Vasquez
Azure-Based Smart Monitoring System for Anemia-Like Pallor. Future Internet 9 (3) (2017)
Sohini Roychowdhury, Donny Sun, Matthew Bihis, Johnny Ren, Paul Hage, Humairat H. Rahman
Computer Aided Detection of Anemia-like Pallor. CoRR (2017)
Sohini Roychowdhury
Classification of large-scale fundus image data sets: A cloud-computing framework. EMBC (2016)
Vishal Vijayakumar, Dara D. Koozekanani, Robert White, James Kohler, Sohini Roychowdhury, Keshab K. Parhi
Artery/vein classification of retinal blood vessels using feature selection. EMBC (2016)
Maitham D. Naeemi, Adam M. Alessio, Sohini Roychowdhury
Automated selection of uniform regions for CT image quality detection. ACSSC (2016)
Sohini Roychowdhury, Nathan Hollraft, Adam M. Alessio
Blind Analysis of CT Image Noise Using Residual Denoised Images. CoRR (2016)
Maitham D. Naeemi, Adam M. Alessio, Sohini Roychowdhury
Automated Selection of Uniform Regions for CT Image Quality Detection. CoRR (2016)
Sohini Roychowdhury, Dara D. Koozekanani, Keshab K. Parhi
Automated detection of neovascularization for proliferative diabetic retinopathy screening. EMBC (2016)
Maitham D. Naeemi, Johnny Ren, Nathan Hollcroft, Adam M. Alessio, Sohini Roychowdhury
Application of big data analytics for automated estimation of CT image quality. IEEE BigData (2016)
Sohini Roychowdhury, Johnny Ren
Non-deep CNN for multi-modal image classification and feature learning: An Azure-based model. IEEE BigData (2016)
Max Menenberg, Surya Pathak, Hari P. Udyapuram, Srinagesh Gavirneni, Sohini Roychowdhury
Topic modeling for management sciences: A network-based approach. IEEE BigData (2016)
Sohini Roychowdhury, Dara D. Koozekanani, Michael Reinsbach, Keshab K. Parhi
Automated OCT Segmentation for Images with DME. CoRR (2016)
Sohini Roychowdhury, Matthew Bihis
AG-MIC: Azure-Based Generalized Flow for Medical Image Classification. IEEE Access 4 (2016)
Sohini Roychowdhury, Dara D. Koozekanani, Sam N. Kuchinka, Keshab K. Parhi
Optic Disc Boundary and Vessel Origin Segmentation of Fundus Images. IEEE J. Biomed. Health Informatics 20 (6) (2016)
Matthew Bihis, Sohini Roychowdhury
A generalized flow for multi-class and binary classification tasks: An Azure ML approach. CoRR (2016)
Sohini Roychowdhury
Classification of Large-Scale Fundus Image Data Sets: A Cloud-Computing Framework. CoRR (2016)
Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
Iterative Vessel Segmentation of Fundus Images. IEEE Trans. Biomed. Eng. 62 (7) (2015)
Sohini Roychowdhury, Michelle Emmons
A Survey of the Trends in Facial and Expression Recognition Databases and Methods. CoRR (2015)
Matthew Bihis, Sohini Roychowdhury
A generalized flow for multi-class and binary classification tasks: An Azure ML approach. IEEE BigData (2015)
Sohini Roychowdhury, Dara D. Koozekanani, Michael Reinsbach, Keshab K. Parhi
3-D localization of Diabetic Macular Edema using OCT thickness maps. EMBC (2015)
Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification. IEEE J. Biomed. Health Informatics 19 (3) (2015)
Sohini Roychowdhury
Facial Expression Detection using Patch-based Eigen-face Isomap Networks. CoRR (2015)
Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
DREAM: Diabetic Retinopathy Analysis Using Machine Learning. IEEE J. Biomed. Health Informatics 18 (5) (2014)
Sohini Roychowdhury, Dara D. Koozekanani, Salma Radwan, Keshab K. Parhi
Automated localization of cysts in diabetic macular edema using optical coherence tomography images. EMBC (2013)
Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
Automated denoising and segmentation of optical coherence tomography images. ACSSC (2013)
Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
Screening fundus images for diabetic retinopathy. ACSCC (2012)