Search Results for author:
Found 7 papers, 4 papers with code
2D-3D Deformable Image Registration of Histology Slide and Micro-CT with ML-based Initialization
The registration results from the proposed method are compared with those from intensity- and keypoint-based methods.
DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration
Our method is several orders of magnitude faster than local patch-based metrics and can be directly applied in clinical settings by replacing the similarity measure with the proposed one.
PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
We propose a novel method to automatically calibrate tracked ultrasound probes.
Global Multi-modal 2D/3D Registration via Local Descriptors Learning
Multi-modal registration is a required step for many image-guided procedures, especially ultrasound-guided interventions that require anatomical context.
Generative Tomography Reconstruction
We propose an end-to-end differentiable architecture for tomography reconstruction that directly maps a noisy sinogram into a denoised reconstruction.
TorchRadon: Fast Differentiable Routines for Computed Tomography
The library is designed to help researchers working on CT problems to combine deep learning and model-based approaches.
IKA: Independent Kernel Approximator
In contrast the approximation produced by Nystr\"om method is a linear combination of kernel evaluations.
