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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Fully truncated cone-beam reconstruction on Pi lines using prior CTKrishnakumar Ramamurthi, Norbert Strobel, Rebecca Fahrig, et al.International Journal of Computer Assisted Radiology and Surgery|October 15, 2018
A machine learning pipeline for internal anatomical landmark embedding based on a patient surface modelXia Zhong, Norbert Strobel, Annette Birkhold, et al.Biomedical Physics & Engineering Express|October 29, 2021
Robust learning-based x-ray image denoising-potential pitfalls, their analysis and solutionsSai Gokul Hariharan, Christian Kaethner, Norbert Strobel, et al.Medical Physics|February 7, 2007
Dose and image quality for a cone-beam C-arm CT systemRebecca Fahrig, Robert Dixon, Thomas Payne, et al.Physics in Medicine and Biology|September 29, 2020
Data-driven estimation of noise variance stabilization parameters for low-dose x-ray imagesSai Gokul Hariharan, Norbert Strobel, Christian Kaethner, et al.International Journal of Computer Assisted Radiology and Surgery|February 20, 2019
An analytical approach for the simulation of realistic low-dose fluoroscopic imagesSai Gokul Hariharan, Norbert Strobel, Christian Kaethner, et al.Medical Physics|August 14, 2019
Physics-driven learning of x-ray skin dose distribution in interventional proceduresPhilipp Roser, Xia Zhong, Annette Birkhold, et al.Journal of Vascular and Interventional Radiology : JVIR|April 15, 2006
Transjugular intrahepatic portosystemic shunt creation in a polycystic liver facilitated by hybrid cross-sectional/angiographic imagingDaniel Y Sze, Norbert Strobel, Rebecca Fahrig, et al.Medical Physics|November 4, 2011
Three-dimensional anisotropic adaptive filtering of projection data for noise reduction in cone beam CTAndreas Maier, Lars Wigstrom, Hannes G Hofmann, et al.International Journal of Computer Assisted Radiology and Surgery|April 12, 2018
A photon recycling approach to the denoising of ultra-low dose X-ray sequencesSai Gokul Hariharan, Norbert Strobel, Christian Kaethner, et al.Pageof 55