1 citations · 2 across the 2 of their papers we have counts for
4 papers
On the Applicability of Registration Uncertainty
Jie Luo, Alireza Sedghi, Karteek Popuri +8
Estimating the uncertainty in (probabilistic) image registration enables, e.g., surgeons to assess the operative risk based on the trustworthiness of the registered image data. If…
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
Min Tang, Zichen Zhang, Dana Cobzas +2
We propose an attention mechanism for 3D medical image segmentation. The method, named segmentation-by-detection, is a cascade of a detection module followed by a segmentation modu…
Misdirected Registration Uncertainty
Jie Luo, Karteek Popuri, Dana Cobzas +3
Being a task of establishing spatial correspondences, medical image registration is often formalized as finding the optimal transformation that best aligns two images. Since the tr…
Reinterpreting the Transformation Posterior in Probabilistic Image Registration
Jie Luo, Karteek Popuri, Dana Cobzas +2
Probabilistic image registration methods estimate the posterior distribution of transformation. The conventional way of interpreting the transformation posterior is to use the mode…