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Our Research:

SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks https://arxiv.org/pdf/2308.13073  Shuja

Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning https://arxiv.org/pdf/2403.07231 Chandan Kumar

UNSUPERVISED LEARNING BASED OBJECT DETECTION USING CONTRASTIVE LEARNING https://arxiv.org/pdf/2402.13465 Chandan Kumar

RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters https://arxiv.org/pdf/2303.08695 Shuja

Automatic optic disk detection and segmentation by variational active contour estimation in retinal fundus images https://www.researchgate.net/publication/331802129_Automatic_Optic_Disc_Detection_and_Segmentation_by_Variational_Active_Contour_Estimation_in_Retinal_Fundus_Images Nayabb Fatima

Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data https://arxiv.org/pdf/2207.00066 Shuja