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Erik Tesselaar

Publications

2026

Susann Skoog, Christos Pagonis, Mårten Sandstedt, Lilian Henriksson, Håkan Gustafsson, Anders Persson, Erik Tesselaar (2026) Diagnostic accuracy of energy-integrating and standard-resolution photon counting detector CT for coronary artery stenosis grading in CCTA: A comparative study Journal of Cardiovascular Computed Tomography (Article in journal) Continue to DOI

2025

Susann Skoog, Elin Good, Lilian Henriksson, Mårten Sandstedt, Anders Persson, Erik Tesselaar (2025) Effect of Reconstruction Kernel and Virtual Monoenergetic Imaging on Segmentation-Based Measurement of Coronary Plaque Volume With Photon-Counting CT Investigative Radiology, Vol. 60, p. 602-608 (Article in journal) Continue to DOI
Nina Fredäng Kämmerling, Simon Farnebo, Mårten Sandstedt, Ronald Booij, Anders Persson, Erik Tesselaar (2025) Assessment of metal artifacts from titanium wrist prostheses: photon-counting versus energy-integrating detector CT European Radiology Experimental, Vol. 9, Article 45 (Article in journal) Continue to DOI
Hakon Blomstrand, Erik Tesselaar, Bergthor Björnsson, Wolf Bartholomä, Tomas Bjerner, Michael Sandborg, Nils Elander, Mischa Woisetschläger (2025) PCD-CT Versus EID-CT in Imaging of Pancreatic Ductal Adenocarcinoma: A Prospective Comparative Pilot Study Anticancer Research, Vol. 45, p. 1547-1558 (Article in journal) Continue to DOI
Ronald Booij, Pauline de Klerk, Erik Tesselaar, Mischa Woisetschläger, Anne Brandts, Marielle Olsthoorn, Jakob van Oldenrijk, Koen Bos, Jörg Schilcher, Edwin H. G. Oei (2025) Assessment of bone-implant interface image quality for in-vivo acetabular cup implants using photon-counting detector CT: Impact of tin pre-filtration European Journal of Radiology Open, Vol. 14, Article 100646 (Article in journal) Continue to DOI

Research

Two scientists are sitting infront of an MRI

Center for Medical Image Science and Visualization, CMIV

CMIV conducts focused front-line research providing solutions to tomorrow’s clinical issues. The CMIV mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.

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