2 citations · 2 across the 3 of their papers we have counts for
10 papers
SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography
Poulami Somanya Ganguly, Felix Lucka, Holger Kohr +3
Tilt-series alignment is crucial to obtaining high-resolution reconstructions in cryo-electron tomography. Beam-induced local deformation of the sample is hard to estimate from the…
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image versus Data Domain
Bolin Pan, Simon R. Arridge, Felix Lucka +5
Curvelet frame is of special significance for photoacoustic tomography (PAT) due to its sparsifying and microlocalisation properties. We derive a one-to-one map between wavefront d…
Refraction-corrected ray-based inversion for three-dimensional ultrasound tomography of the breast
Ashkan Javaherian, Felix Lucka, Ben Cox
Ultrasound Tomography has seen a revival of interest in the past decade, especially for breast imaging, due to improvements in both ultrasound and computing hardware. In particular…
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning
Maureen van Eijnatten, Leonardo Rundo, K. Joost Batenburg +7
This study investigates the use of the unsupervised deep learning framework VoxelMorph for deformable registration of longitudinal abdominopelvic CT images acquired in patients wit…
Atomic Super-Resolution Tomography
Poulami Somanya Ganguly, Felix Lucka, Hermen Jan Hupkes +1
We consider the problem of reconstructing a nanocrystal at atomic resolution from electron microscopy images taken at a few tilt angles. A popular reconstruction approach called di…
A Cone-Beam X-Ray CT Data Collection designed for Machine Learning
Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten +3
Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high…