5 citations · 17 across the 7 of their papers we have counts for
3 papers · 1 filter
Deep Learning in Medical Image Registration: Magic or Mirage?
Rohit Jena, Deeksha Sethi, Pratik Chaudhari +1
Classical optimization and learning-based methods are the two reigning paradigms in deformable image registration. While optimization-based methods boast generalizability across mo…
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration
Rohit Jena, Pratik Chaudhari, James C. Gee
Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image registration due to their speed and ability to incorporate weak label supervision at t…
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching
Rohit Jena, Pratik Chaudhari, James C. Gee
The paper proposes FireANTs, a multi-scale Adaptive Riemannian Optimization algorithm for dense diffeomorphic image matching. Existing state-of-the-art methods for diffeomorphic im…