2 citations · 2 across the 5 of their papers we have counts for
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Two-Parameter Flow Map Learning for Continuous-Time Diffeomorphic Image Registration
Mohammadjavad Matinkia, Nilanjan Ray
Diffeomorphic image registration is central to medical image analysis, enabling anatomically consistent alignment across subjects. Most learning-based diffeomorphic methods model a…
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…
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,…
ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery
Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Nadir Erbilgin +1
Accurate detection of individual tree crowns from remote sensing data poses a significant challenge due to the dense nature of forest canopy and the presence of diverse environment…