output
20062026
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations

Showing physics.med-phShow all

5 papers · 1 filter

physics.med-ph2024★ 1 cited

Model-Based Perfusion Reconstruction with Time Separation Technique in Cone-Beam CT Dynamic Liver Perfusion Imaging

Hana Haseljić, Robert Frysch, Vojtěch Kulvait +6

The success of embolisation, a minimally invasive treatment of liver cancer, could be evaluated in the operational room with cone-beam CT by acquiring a dynamic perfusion scan. The…

physics.med-ph2024★ 10 cited

A Computational Model of the Electrically or Acoustically Evoked Compound Action Potential in Cochlear Implant Users with Residual Hearing

Daniel Kipping, Yixuan Zhang, Waldo Nogueira

Objective: In cochlear implant users with residual acoustic hearing, compound action potentials (CAPs) can be evoked by acoustic (aCAP) or electric (eCAP) stimulation and recorded…

physics.med-ph2023★ 1 cited

Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique

Soumick Chatterjee, Hana Haseljić, Robert Frysch +9

Perfusion imaging is a valuable tool for diagnosing and treatment planning for liver tumours. The time separation technique (TST) has been successfully used for modelling C-arm con…

physics.med-ph2021★ 5 cited

Application of Time Separation Technique to Enhance C-arm CT Dynamic Liver Perfusion Imaging

Hana Haseljić, Vojtěch Kulvait, Robert Frysch +4

Perfusion imaging is an interesting new modality for evaluation and assessment of the liver cancer treatment. C-Arm CT provides a possibility to perform perfusion imaging scans int…

physics.med-ph2018

Effect of an advanced model-based iterative reconstruction algorithm on texture and visual impression of images privieded by a dual source CT scanner

Babak Alikhani PhD, Thomas Werncke MD, Hans-Jürgen Raatschen MD +2

Purpose: To evaluate the influence of ADMIRE algorithm on image texture and image visual impression as a supplement to measurements of common image quality parameters such as noise…