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Prasanna Porwal
Prasanna Porwal
Senior Imaging Scientist, Roche
Bestätigte E-Mail-Adresse bei roche.com
Titel
Zitiert von
Zitiert von
Jahr
Indian diabetic retinopathy image dataset (IDRiD): a database for diabetic retinopathy screening research
P Porwal, S Pachade, R Kamble, M Kokare, G Deshmukh, ...
Data 3 (3), 25, 2018
7002018
Idrid: Diabetic retinopathy–segmentation and grading challenge
P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ...
Medical image analysis 59, 101561, 2020
2322020
Retinal fundus multi-disease image dataset (rfmid): A dataset for multi-disease detection research
S Pachade, P Porwal, D Thulkar, M Kokare, G Deshmukh, ...
Data 6 (2), 14, 2021
1292021
Deepdrid: Diabetic retinopathy—grading and image quality estimation challenge
R Liu, X Wang, Q Wu, L Dai, X Fang, T Yan, J Son, S Tang, J Li, Z Gao, ...
Patterns 3 (6), 2022
732022
An electrooculography based human machine interface for wheelchair control
AM Choudhari, P Porwal, V Jonnalagedda, F Mériaudeau
Biocybernetics and Biomedical Engineering 39 (3), 673-685, 2019
472019
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation
S Pachade, P Porwal, M Kokare, L Giancardo, F Mériaudeau
Medical Image Analysis 74, 102253, 2021
342021
Retinal vasculature segmentation and measurement framework for color fundus and SLO images
S Pachade, P Porwal, M Kokare, L Giancardo, F Meriaudeau
Biocybernetics and Biomedical Engineering 40 (3), 865-900, 2020
172020
Retinal fundus multi-disease image dataset (RFMID)
S Pachade, P Porwal, D Thulkar, M Kokare, G Deshmukh, ...
IEEE Dataport, 2020
142020
Retinal Image Analysis for Disease Screening through Local Tetra Patterns
P Porwal, S Pachade, M Kokare, L Giancardo, F Meriaudeau
Computers in Biology and Medicine, 2018
112018
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research. Data, 6 (2), 14
S Pachade, P Porwal, D Thulkar, M Kokare, G Deshmukh, ...
92021
Automatic segmentation of optic disc by gradient minimization based approach
P Porwal, S Pachade, A Kadethankar, A Joshi, V Patwardhan, R Kamble, ...
2018 International conference on intelligent and advanced system (ICIAS), 1-5, 2018
82018
Automatic retinal image analysis for the detection of diabetic retinopathy
P Porwal, S Pachade, M Kokare, G Deshmukh, V Sahasrabuddhe
Biomedical signal and image processing in patient care, 146-161, 2018
82018
A novel method to detect fovea from color fundus images
S Pachade, P Porwal, M Kokare
Computing, Communication and Signal Processing: Proceedings of ICCASP 2018 …, 2019
72019
Automatic retinal image registration using fully connected vascular tree
J Parekar, P Porwal, M Kokare
2016 International Conference on Signal and Information Processing (IConSIP …, 2016
72016
Diabetic retinopathy: Segmentation and grading challenge workshop
P Porwal, S Pachade, R Kamble, M Kokare, G Deshmukh, ...
Proc. IEEE Int. Symp. Biomed. Imag.(ISBI), 1, 2018
52018
Diabetic retinopathy segmentation and grading challenge
P Porwal, P Samiksha, R Kamble, M Kokare, G Deshmukh, ...
IEEE ISBI Challenge, 2018
42018
A Novel Unsupervised Framework for Retinal Vasculature Segmentation
S Pachade, P Porwal, M Kokare
Advanced Computational and Communication Paradigms, 2018
42018
Laser scar classification in retinal fundus images using wavelet transform and local variance
R Raut, V Sapate, A Rokde, S Pachade, P Porwal, M Kokare
Computer Vision and Machine Intelligence in Medical Image Analysis …, 2020
22020
Glaucoma Screening Through Level Set for Optic Disc Segmentation and Textural Features for Classification
A Joshi, A Kadethankar, V Patwardhan, P Porwal, S Pachade, M Kokare, ...
2018 International Conference on Intelligent and Advanced System (ICIAS), 1-6, 2018
22018
A novel method to remove bright artifacts for enhancing lesion detection in retinal images
P Porwal, M Kokare
2016 International Conference on Signal and Information Processing (IConSIP …, 2016
22016
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