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Sohini Roychowdhury
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2020 – today
- 2024
- [c29]Sohini Roychowdhury
:
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers. WSDM 2024: 1180-1181 - [i23]Sohini Roychowdhury, Marko Krema, Anvar Mahammad, Brian Moore, Arijit Mukherjee, Punit Prakashchandra:
ERATTA: Extreme RAG for Table To Answers with Large Language Models. CoRR abs/2405.03963 (2024) - [i22]Sohini Roychowdhury, Marko Krema, Brian Moore, Xingjian Lai, Dike Effedua, Bharat Jethwani:
FiST-Financial Style Transfer with Hallucination and Creativity Control Framework. CoRR abs/2408.05365 (2024) - 2023
- [j9]Sohini Roychowdhury
NUMSnet: Nested-U Multi-Class Segmentation Network for 3D Medical Image Stacks. Inf. 14(6): 333 (2023) - [c28]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. IEEE Big Data 2023: 4693-4702 - [i21]Sohini Roychowdhury:
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks. CoRR abs/2304.02713 (2023) - [i20]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 abs/2311.07592 (2023) - [i19]Sohini Roychowdhury:
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers. CoRR abs/2311.10961 (2023) - 2022
- [c27]Sohini Roychowdhury, Kamal Sarkar, Arka Maji:
Unsupervised Bengali Text Summarization Using Sentence Embedding and Spectral Clustering. ICON 2022: 337-346 - [c26]Sohini Roychowdhury:
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification. IJCNN 2022: 1-8 - [i18]Sohini Roychowdhury:
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification. CoRR abs/2203.13459 (2022) - 2021
- [c25]Sohini Roychowdhury, Kwok Sun Tang, Mohith Ashok, Anoop Sanka:
SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology Classification. EMBC 2021: 2806-2809 - [c24]Sohini Roychowdhury:
Deep-ReAP: Deep Representations And Partial label learning for Multi-pathology Classification. EMBC 2021: 3557-3560 - [c23]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: 5744-5750 - [c22]Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li:
OPAM: Online Purchasing-behavior Analysis using Machine learning. IJCNN 2021: 1-8 - [i17]Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li:
OPAM: Online Purchasing-behavior Analysis using Machine learning. CoRR abs/2102.01625 (2021) - [i16]Sohini Roychowdhury, Kwok Sun Tang, Mohith Ashok, Anoop Sanka:
SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology. CoRR abs/2102.11560 (2021) - [i15]Sohini Roychowdhury, James Y. Sato:
Video-Data Pipelines for Machine Learning Applications. CoRR abs/2110.11407 (2021) - [i14]Sohini Roychowdhury:
QU-net++: Image Quality Detection Framework for Segmentation of 3D Medical Image Stacks. CoRR abs/2110.14181 (2021) - 2020
- [c21]Francesco Piccoli, Rajarathnam Balakrishnan
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. ACSSC 2020: 68-72 - [c20]Jonas Herzfeld, Sanjiv Thottathodhi, Mats Jonasson, L. Srikar Muppirisetty, Sohini Roychowdhury, Jonas Sjöberg:
Collision Avoidance by Utilizing Dynamic Road Friction Information. ACSSC 2020: 1425-1429 - [c19]Sohini Roychowdhury:
Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images. ICPR 2020: 4581-4588 - [c18]Kaan Yilmaz, Baris Suslu, Sohini Roychowdhury, L. Srikar Muppirisetty:
AV-SLAM: Autonomous Vehicle SLAM with Gravity Direction Initialization. ICPR 2020: 8093-8100 - [i13]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 abs/2005.07796 (2020) - [i12]Sohini Roychowdhury:
Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images. CoRR abs/2008.02952 (2020) - [i11]Sohini Roychowdhury, Wenxi Li, Ebrahim Alareqi, Akhilesh Pandita, Ao Liu, Joakim Söderberg:
Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework. CoRR abs/2010.02503 (2020) - [i10]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 abs/2012.02938 (2020)
2010 – 2019
- 2019
- [j8]G. N. Girish
Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model. IEEE J. Biomed. Health Informatics 23(1): 296-304 (2019) - [c17]G. N. Girish
Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation. EMBC 2019: 2027-2031 - [c16]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: 2320-2328 - [i9]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 abs/1909.12249 (2019) - 2018
- [j7]G. N. Girish
A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. Comput. Methods Programs Biomed. 153: 105-114 (2018) - [c15]Sohini Roychowdhury, L. Srikar Muppirisetty:
Fast Proposals for Image and Video Annotation Using Modified Echo State Networks. ICMLA 2018: 1225-1230 - [c14]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: 1-8 - 2017
- [j6]Sohini Roychowdhury, Paul Hage
Azure-Based Smart Monitoring System for Anemia-Like Pallor. Future Internet 9(3): 39 (2017) - [c13]Sohini Roychowdhury, Donny Sun, Matthew Bihis, Johnny Ren, Paul Hage
Computer aided detection of anemia-like pallor. BHI 2017: 461-464 - [i8]Sohini Roychowdhury, Donny Sun, Matthew Bihis, Johnny Ren, Paul Hage, Humairat H. Rahman:
Computer Aided Detection of Anemia-like Pallor. CoRR abs/1703.05913 (2017) - 2016
- [j5]Sohini Roychowdhury
AG-MIC: Azure-Based Generalized Flow for Medical Image Classification. IEEE Access 4: 5243-5257 (2016) - [j4]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): 1562-1574 (2016) - [c12]Maitham D. Naeemi, Adam M. Alessio, Sohini Roychowdhury:
Automated selection of uniform regions for CT image quality detection. ACSSC 2016: 273-277 - [c11]Sohini Roychowdhury, Johnny Ren:
Non-deep CNN for multi-modal image classification and feature learning: An Azure-based model. IEEE BigData 2016: 2893-2812 - [c10]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: 3422-3431 - [c9]Max Menenberg, Surya Pathak, Hari P. Udyapuram, Srinagesh Gavirneni
Topic modeling for management sciences: A network-based approach. IEEE BigData 2016: 3509-3518 - [c8]Sohini Roychowdhury, Dara D. Koozekanani, Keshab K. Parhi
Automated detection of neovascularization for proliferative diabetic retinopathy screening. EMBC 2016: 1300-1303 - [c7]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: 1320-1323 - [c6]Sohini Roychowdhury:
Classification of large-scale fundus image data sets: A cloud-computing framework. EMBC 2016: 3256-3259 - [i7]Matthew Bihis, Sohini Roychowdhury:
A generalized flow for multi-class and binary classification tasks: An Azure ML approach. CoRR abs/1603.08070 (2016) - [i6]Sohini Roychowdhury:
Classification of Large-Scale Fundus Image Data Sets: A Cloud-Computing Framework. CoRR abs/1603.08071 (2016) - [i5]Sohini Roychowdhury, Nathan Hollraft, Adam M. Alessio:
Blind Analysis of CT Image Noise Using Residual Denoised Images. CoRR abs/1605.07650 (2016) - [i4]Maitham D. Naeemi, Adam M. Alessio, Sohini Roychowdhury:
Automated Selection of Uniform Regions for CT Image Quality Detection. CoRR abs/1608.04381 (2016) - [i3]Sohini Roychowdhury, Dara D. Koozekanani, Michael Reinsbach, Keshab K. Parhi:
Automated OCT Segmentation for Images with DME. CoRR abs/1610.07560 (2016) - 2015
- [j3]Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
Iterative Vessel Segmentation of Fundus Images. IEEE Trans. Biomed. Eng. 62(7): 1738-1749 (2015) - [j2]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): 1118-1128 (2015) - [c5]Matthew Bihis, Sohini Roychowdhury:
A generalized flow for multi-class and binary classification tasks: An Azure ML approach. IEEE BigData 2015: 1728-1737 - [c4]Sohini Roychowdhury, Dara D. Koozekanani, Michael Reinsbach, Keshab K. Parhi
3-D localization of Diabetic Macular Edema using OCT thickness maps. EMBC 2015: 4334-4337 - [i2]Sohini Roychowdhury, Michelle Emmons:
A Survey of the Trends in Facial and Expression Recognition Databases and Methods. CoRR abs/1511.02407 (2015) - [i1]Sohini Roychowdhury:
Facial Expression Detection using Patch-based Eigen-face Isomap Networks. CoRR abs/1511.03363 (2015) - 2014
- [j1]Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
DREAM: Diabetic Retinopathy Analysis Using Machine Learning. IEEE J. Biomed. Health Informatics 18(5): 1717-1728 (2014) - 2013
- [c3]Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
Automated denoising and segmentation of optical coherence tomography images. ACSSC 2013: 258-262 - [c2]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: 1426-1429 - 2012
- [c1]Sohini Roychowdhury, Dara Koozekanani, Keshab K. Parhi
Screening fundus images for diabetic retinopathy. ACSCC 2012: 1641-1645
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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