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Samiksha Pachade

Showing results (1-10 of 10) with videos related to

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Medical Image Analysis|October 6, 2021
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentationSamiksha Pachade, Prasanna Porwal, Manesh Kokare, et al.
Computers in Biology and Medicine|October 12, 2018
Retinal image analysis for disease screening through local tetra patternsPrasanna Porwal, Samiksha Pachade, Manesh Kokare, et al.
Iscience|February 20, 2024
A self-supervised learning approach for registration agnostic imaging models with 3D brain CTAYingjun Dong, Samiksha Pachade, Xiaomin Liang, et al.
Computers in Biology and Medicine|November 13, 2024
Generalizable self-supervised learning for brain CTA in acute strokeYingjun Dong, Samiksha Pachade, Kirk Roberts, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural NetworksIvan Coronado, Rania Abdelkhaleq, Juntao Yan, et al.
Journal of Clinical Medicine|December 23, 2022
Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus ImagingSamiksha Pachade, Ivan Coronado, Rania Abdelkhaleq, et al.
Scientific Reports|September 27, 2023
Author Correction: Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networksIvan Coronado, Samiksha Pachade, Emanuele Trucco, et al.
Scientific Reports|September 15, 2023
Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networksIvan Coronado, Samiksha Pachade, Emanuele Trucco, et al.
Medical Image Analysis|October 12, 2024
RFMiD: Retinal Image Analysis for multi-Disease Detection challengeSamiksha Pachade, Prasanna Porwal, Manesh Kokare, et al.
Medical Image Analysis|November 1, 2019
IDRiD: Diabetic Retinopathy - Segmentation and Grading ChallengePrasanna Porwal, Samiksha Pachade, Manesh Kokare, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|October 6, 2021
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentationSamiksha Pachade, Prasanna Porwal, Manesh Kokare, et al.
Computers in Biology and Medicine|October 12, 2018
Retinal image analysis for disease screening through local tetra patternsPrasanna Porwal, Samiksha Pachade, Manesh Kokare, et al.
Iscience|February 20, 2024
A self-supervised learning approach for registration agnostic imaging models with 3D brain CTAYingjun Dong, Samiksha Pachade, Xiaomin Liang, et al.
Computers in Biology and Medicine|November 13, 2024
Generalizable self-supervised learning for brain CTA in acute strokeYingjun Dong, Samiksha Pachade, Kirk Roberts, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural NetworksIvan Coronado, Rania Abdelkhaleq, Juntao Yan, et al.
Journal of Clinical Medicine|December 23, 2022
Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus ImagingSamiksha Pachade, Ivan Coronado, Rania Abdelkhaleq, et al.
Scientific Reports|September 27, 2023
Author Correction: Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networksIvan Coronado, Samiksha Pachade, Emanuele Trucco, et al.
Scientific Reports|September 15, 2023
Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networksIvan Coronado, Samiksha Pachade, Emanuele Trucco, et al.
Medical Image Analysis|October 12, 2024
RFMiD: Retinal Image Analysis for multi-Disease Detection challengeSamiksha Pachade, Prasanna Porwal, Manesh Kokare, et al.
Medical Image Analysis|November 1, 2019
IDRiD: Diabetic Retinopathy - Segmentation and Grading ChallengePrasanna Porwal, Samiksha Pachade, Manesh Kokare, et al.
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