107 citations · 213 across the 20 of their papers we have counts for
6 papers · 1 filter
Landmark shape spaces with induced metrics
Sarang Joshi, Peter W. Michor, Stefan Sommer
We present a unification of Kendall's landmark shape spaces, where rigid motions are factored out and scale fixed on landmark configurations equipped with Euclidean geometry, with…
Analyzing the Domain Shift Immunity of Deep Homography Estimation
Mingzhen Shao, Tolga Tasdizen, Sarang Joshi
Homography estimation serves as a fundamental technique for image alignment in a wide array of applications. The advent of convolutional neural networks has introduced learning-bas…
Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics
Kristen M. Campbell, Haocheng Dai, Zhe Su +3
The structural network of the brain, or structural connectome, can be represented by fiber bundles generated by a variety of tractography methods. While such methods give qualitati…
Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting
Markus D. Foote, Blake E. Zimmerman, Amit Sawant +1
Radiation therapy presents a need for dynamic tracking of a target tumor volume. Fiducial markers such as implanted gold seeds have been used to gate radiation delivery but the mar…
Latent Space Non-Linear Statistics
Line Kuhnel, Tom Fletcher, Sarang Joshi +1
Given data, deep generative models, such as variational autoencoders (VAE) and generative adversarial networks (GAN), train a lower dimensional latent representation of the data sp…
Bridge Simulation and Metric Estimation on Landmark Manifolds
Stefan Sommer, Alexis Arnaudon, Line Kuhnel +1
We present an inference algorithm and connected Monte Carlo based estimation procedures for metric estimation from landmark configurations distributed according to the transition d…