2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
Universality in the merging dynamics of parametric active contours: a study in MRI-based lung segmentation
Amit K. Chattopadhyay, Nilanjan Ray, Scott T. Acton
Measurement of lung ventilation is one of the most reliable techniques of diagnosing pulmonary diseases. The time consuming and bias prone traditional methods using hyperpolarized…