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Sohini Roychowdhury
Sohini Roychowdhury
Accenture USA, Santa Clara University, University of Washington
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
DREAM: diabetic retinopathy analysis using machine learning
S Roychowdhury, DD Koozekanani, KK Parhi
IEEE journal of biomedical and health informatics 18 (5), 1717-1728, 2013
4512013
Blood vessel segmentation of fundus images by major vessel extraction and subimage classification
S Roychowdhury, DD Koozekanani, KK Parhi
IEEE journal of biomedical and health informatics 19 (3), 1118-1128, 2014
4052014
Iterative vessel segmentation of fundus images
S Roychowdhury, DD Koozekanani, KK Parhi
IEEE Transactions on Biomedical Engineering 62 (7), 1738-1749, 2015
2962015
Optic disc boundary and vessel origin segmentation of fundus images
S Roychowdhury, DD Koozekanani, SN Kuchinka, KK Parhi
IEEE journal of biomedical and health informatics 20 (6), 1562-1574, 2015
1372015
Machine learning models for road surface and friction estimation using front-camera images
S Roychowdhury, M Zhao, A Wallin, N Ohlsson, M Jonasson
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
992018
Segmentation of intra-retinal cysts from optical coherence tomography images using a fully convolutional neural network model
GN Girish, B Thakur, SR Chowdhury, AR Kothari, J Rajan
IEEE journal of biomedical and health informatics 23 (1), 296-304, 2018
922018
Automated localization of cysts in diabetic macular edema using optical coherence tomography images
S Roychowdhury, DD Koozekanani, S Radwan, KK Parhi
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
512013
A generalized flow for multi-class and binary classification tasks: An Azure ML approach
M Bihis, S Roychowdhury
2015 IEEE International Conference on Big Data (Big Data), 1728-1737, 2015
432015
Fussi-net: Fusion of spatio-temporal skeletons for intention prediction network
F Piccoli, R Balakrishnan, MJ Perez, M Sachdeo, C Nunez, M Tang, ...
2020 54th asilomar conference on signals, systems, and computers, 68-72, 2020
352020
Range adaptation for 3d object detection in lidar
Z Wang, S Ding, Y Li, M Zhao, S Roychowdhury, A Wallin, G Sapiro, Q Qiu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
352019
Screening fundus images for diabetic retinopathy
S Roychowdhury, DD Koozekanani, KK Parhi
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals …, 2012
322012
Prediction of electric power consumption for commercial buildings
V Cherkassky, SR Chowdhury, V Landenberger, S Tewari, P Bursch
The 2011 International Joint Conference on Neural Networks, 666-672, 2011
322011
Automated detection of neovascularization for proliferative diabetic retinopathy screening
S Roychowdhury, DD Koozekanani, KK Parhi
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
312016
Efficient mitigation strategies for epidemics in rural regions
C Scoglio, W Schumm, P Schumm, T Easton, S Roy Chowdhury, ...
PLoS One 5 (7), e11569, 2010
312010
A SURVEY OF THE TRENDS IN FACIAL AND EXPRESSION RECOGNITION DATABASES AND METHODS
S Roychowdhury, M Emmons
International Journal of Computer Science & Engineering Survey (IJCSES) 6 …, 2015
302015
AG-MIC: Azure-Based Generalized Flow for Medical Image Classification
S Roychowdhury, M Bihis
IEEE Access, 2016
252016
Cirrus: A long-range bi-pattern lidar dataset
Z Wang, S Ding, Y Li, J Fenn, S Roychowdhury, A Wallin, L Martin, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 5744-5750, 2021
222021
Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation
G G. N., B Saikumar, S Roychowdhury, AR Kothari, J Rajan
41st Annual International Conference of the IEEE Engineering in Medicine and …, 2019
192019
Artery/vein classification of retinal blood vessels using feature selection
V Vijayakumar, DD Koozekanani, R White, J Kohler, S Roychowdhury, ...
2016 38th annual international conference of the IEEE engineering in …, 2016
192016
Classification of Large-Scale Fundus Image Data Sets: A Cloud-Computing Framework
S Roychowdhury
arXiv preprint arXiv:1603.08071, 2016
172016
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