Screening fundus images for diabetic retinopathy. - Sohini Roychowdhury; Dara Koozekanani; Keshab K. Parhi (ACSCC, 2012)

Automated denoising and segmentation of optical coherence tomography images. - Sohini Roychowdhury; Dara Koozekanani; Keshab K. Parhi (ACSSC, 2013)

Automated localization of cysts in diabetic macular edema using optical coherence tomography images. - Sohini Roychowdhury; Dara D. Koozekanani; Salma Radwan; Keshab K. Parhi (EMBC, 2013)

DREAM: Diabetic Retinopathy Analysis Using Machine Learning. - Sohini Roychowdhury; Dara Koozekanani; Keshab K. Parhi (IEEE J. Biomed. Health Informatics, 2014)

A generalized flow for multi-class and binary classification tasks: An Azure ML approach. - Matthew Bihis; Sohini Roychowdhury (IEEE BigData, 2015)

3-D localization of Diabetic Macular Edema using OCT thickness maps. - Sohini Roychowdhury; Dara D. Koozekanani; Michael Reinsbach; Keshab K. Parhi (EMBC, 2015)

Facial Expression Detection using Patch-based Eigen-face Isomap Networks. - Sohini Roychowdhury (CoRR, 2015)

A Survey of the Trends in Facial and Expression Recognition Databases and Methods. - Sohini Roychowdhury; Michelle Emmons (CoRR, 2015)

Iterative Vessel Segmentation of Fundus Images. - Sohini Roychowdhury; Dara Koozekanani; Keshab K. Parhi (IEEE Trans. Biomed. Eng., 2015)

Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification. - Sohini Roychowdhury; Dara Koozekanani; Keshab K. Parhi (IEEE J. Biomed. Health Informatics, 2015)

Automated selection of uniform regions for CT image quality detection. - Maitham D. Naeemi; Adam M. Alessio; Sohini Roychowdhury (ACSSC, 2016)

Topic modeling for management sciences: A network-based approach. - Max Menenberg; Surya Pathak; Hari P. Udyapuram; Srinagesh Gavirneni 001; Sohini Roychowdhury (IEEE BigData, 2016)

Application of big data analytics for automated estimation of CT image quality. - Maitham D. Naeemi; Johnny Ren; Nathan Hollcroft; Adam M. Alessio; Sohini Roychowdhury (IEEE BigData, 2016)

Non-deep CNN for multi-modal image classification and feature learning: An Azure-based model. - Sohini Roychowdhury; Johnny Ren (IEEE BigData, 2016)

Classification of large-scale fundus image data sets: A cloud-computing framework. - Sohini Roychowdhury (EMBC, 2016)

Automated detection of neovascularization for proliferative diabetic retinopathy screening. - Sohini Roychowdhury; Dara D. Koozekanani; Keshab K. Parhi (EMBC, 2016)

Artery/vein classification of retinal blood vessels using feature selection. - Vishal Vijayakumar; Dara D. Koozekanani; Robert White; James Kohler; Sohini Roychowdhury; Keshab K. Parhi (EMBC, 2016)

AG-MIC: Azure-Based Generalized Flow for Medical Image Classification. - Sohini Roychowdhury; Matthew Bihis (IEEE Access, 2016)

Blind Analysis of CT Image Noise Using Residual Denoised Images. - Sohini Roychowdhury; Nathan Hollraft; Adam M. Alessio (CoRR, 2016)

Automated OCT Segmentation for Images with DME. - Sohini Roychowdhury; Dara D. Koozekanani; Michael Reinsbach; Keshab K. Parhi (CoRR, 2016)

Optic Disc Boundary and Vessel Origin Segmentation of Fundus Images. - Sohini Roychowdhury; Dara D. Koozekanani; Sam N. Kuchinka; Keshab K. Parhi (IEEE J. Biomed. Health Informatics, 2016)

Computer aided detection of anemia-like pallor. - Sohini Roychowdhury; Donny Sun; Matthew Bihis; Johnny Ren; Paul Hage; Humairat H. Rahman (BHI, 2017)

Azure-Based Smart Monitoring System for Anemia-Like Pallor. - Sohini Roychowdhury; Paul Hage; Joseph Vasquez (Future Internet, 2017)

Fast Proposals for Image and Video Annotation Using Modified Echo State Networks. - Sohini Roychowdhury; L. Srikar Muppirisetty (ICMLA, 2018)

Machine Learning Models for Road Surface and Friction Estimation using Front-Camera Images. - Sohini Roychowdhury; Minming Zhao; Andreas Wallin; Niklas Ohlsson; Mats Jonasson (IJCNN, 2018)

A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. - G. N. Girish; V. A. Anima; Abhishek R. Kothari; P. V. Sudeep; Sohini Roychowdhury; Jeny Rajan (Comput. Methods Programs Biomed., 2018)

Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation. - G. N. Girish; Banoth Saikumar; Sohini Roychowdhury; Abhishek R. Kothari; Jeny Rajan (EMBC, 2019)

Range Adaptation for 3D Object Detection in LiDAR. - Ze Wang 008; Sihao Ding 002; Ying Li; Minming Zhao; Sohini Roychowdhury; Andreas Wallin; Guillermo Sapiro; Qiang Qiu 001 (ICCV Workshops, 2019)

Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model. - G. N. Girish; Bibhash Thakur; Sohini Roychowdhury; Abhishek R. Kothari; Jeny Rajan (IEEE J. Biomed. Health Informatics, 2019)

Collision Avoidance by Utilizing Dynamic Road Friction Information. - Jonas Herzfeld; Sanjiv Thottathodhi; Mats Jonasson; L. Srikar Muppirisetty; Sohini Roychowdhury; Jonas Sjöberg (ACSSC, 2020)

FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. - 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; et al. (ACSSC, 2020)

Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images. - Sohini Roychowdhury (ICPR, 2020)

AV-SLAM: Autonomous Vehicle SLAM with Gravity Direction Initialization. - Kaan Yilmaz; Baris Suslu; Sohini Roychowdhury; L. Srikar Muppirisetty (ICPR, 2020)

Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework. - Sohini Roychowdhury; Wenxi Li; Ebrahim Alareqi; Akhilesh Pandita; Ao Liu; Joakim Söderberg (CoRR, 2020)

Deep-ReAP: Deep Representations And Partial label learning for Multi-pathology Classification. - Sohini Roychowdhury (EMBC, 2021)

SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology Classification. - Sohini Roychowdhury; Kwok Sun Tang; Mohith Ashok; Anoop Sanka (EMBC, 2021)

Cirrus: A Long-range Bi-pattern LiDAR Dataset. - Ze Wang 008; Sihao Ding 002; Ying Li; Jonas Fenn; Sohini Roychowdhury; Andreas Wallin; Lane Martin; Scott Ryvola; Guillermo Sapiro; Qiang Qiu 001 (ICRA, 2021)

OPAM: Online Purchasing-behavior Analysis using Machine learning. - Sohini Roychowdhury; Ebrahim Alareqi; Wenxi Li (IJCNN, 2021)

SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology. - Sohini Roychowdhury; Kwok Sun Tang; Mohith Ashok; Anoop Sanka (CoRR, 2021)

Video-Data Pipelines for Machine Learning Applications. - Sohini Roychowdhury; James Y. Sato (CoRR, 2021)

QU-net++: Image Quality Detection Framework for Segmentation of 3D Medical Image Stacks. - Sohini Roychowdhury (CoRR, 2021)

Unsupervised Bengali Text Summarization Using Sentence Embedding and Spectral Clustering. - Sohini Roychowdhury; Kamal Sarkar; Arka Maji (ICON, 2022)

Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification. - Sohini Roychowdhury (IJCNN, 2022)

Hallucination-minimized Data-to-answer Framework for Financial Decision-makers. - 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 (IEEE Big Data, 2023)

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

ERATTA: Extreme RAG for enterprise-Table To Answers with Large Language Models. - Sohini Roychowdhury; Marko Krema; Anvar Mahammad; Brian Moore; Arijit Mukherjee; Punit Prakashchandra (IEEE Big Data, 2024)

Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers. - Sohini Roychowdhury (WSDM, 2024)

ERATTA: Extreme RAG for Table To Answers with Large Language Models. - Sohini Roychowdhury; Marko Krema; Anvar Mahammad; Brian Moore; Arijit Mukherjee; Punit Prakashchandra (CoRR, 2024)

FiST-Financial Style Transfer with Hallucination and Creativity Control Framework. - Sohini Roychowdhury; Marko Krema; Brian Moore; Xingjian Lai; Dike Effedua; Bharat Jethwani (CoRR, 2024)

SIDE: Semantic ID Embedding for effective learning from sequences. - Dinesh Ramasamy; Shakti Kumar; Chris Cadonic; Jiaxin Yang; Sohini Roychowdhury; Esam Abdel Rhman; Srihari Reddy (CoRR, 2025)