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cs.CV2024
Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates
Arnisha Khondaker, Nilanjan Ray
Tuning parameters of a non-differentiable or black-box compute is challenging. Existing methods rely mostly on random sampling or grid sampling from the parameter space. Further, w…
cs.CV2024
Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization
Mohammadjavad Matinkia, Nilanjan Ray
Diffeomorphic image registration (DIR) is a fundamental task in 3D medical image analysis that seeks topology-preserving deformations between image pairs. To ensure diffeomorphism,…