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π Radiology AI Postodctoral Scientist at Johnson & Johnson.
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π PhD. in CS from University of Nevada, Reno. [Curriculum Vitae]
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π» I regularly publish paper on GANs, Semi-supervised Learning and Multi-objective Learning. [Google Scholar]
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π I have worked as an Data, Analytics & Imaging Intern at Genentech from May-Dec 2021 and May-Aug 2022.
10.01.2023
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology. (MICCAI 2023)05.25.2022
New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning (iScience, Cell Press)11.24.2021
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers (ICCV 2021)09.21.2021
RV-GAN: Segmenting retinal vascular structure in fundus photographs using a novel multi-scale generative adversarial network (MICCAI 2021)12.09.2020
A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs (Scientific Reports, Nature)