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Ivo Wolf
Researcher at Mannheim University of Applied Sciences
Publications - 160
Citations - 5912
Ivo Wolf is an academic researcher from Mannheim University of Applied Sciences. The author has contributed to research in topics: Mitral valve & Segmentation. The author has an hindex of 30, co-authored 155 publications receiving 4636 citations. Previous affiliations of Ivo Wolf include German Cancer Research Center & University of Mannheim.
Papers
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Augmented reality-enhanced endoscopic images for annuloplasty ring sizing
Sandy Engelhardt,Raffaele De Simone,Norbert Zimmermann,Sameer Al-Maisary,Diana Nabers,Matthias Karck,Hans-Peter Meinzer,Ivo Wolf +7 more
TL;DR: A new augmented reality environment for visualizing the prosthetic ring in-situ on endoscopic images and therefore aid in ring selection and the superimposed ring gives quantitative information and visual cues allowing to compare the selected ring prosthesis with the patient’s annulus.
Journal ArticleDOI
Combined modality for ultrasound imaging and electromagnetic tracking
Alfred M. Franz,Keno März,Alexander Seitel,Hannes Kenngott,Martin Wagner,Anas Preukschas,Hans-Peter Meinzer,Ivo Wolf,Ivo Wolf,Lena Maier-Hein +9 more
TL;DR: The results show robust US imaging and EM tracking of the combined device, which emerges as a promising component for US-guided CAI systems.
Proceedings ArticleDOI
Automatic standard plane adjustment on mobile C-Arm CT images of the calcaneus using atlas-based feature registration
Michael Brehler,Joseph Görres,Ivo Wolf,Jochen Franke,Jan von Recum,Paul Alfred Grützner,Hans-Peter Meinzer,Diana Nabers +7 more
TL;DR: A novel semi-automatic method for adjustment of the standard planes on mobile C-Arm CT images that can quickly adjust the planes by setting six points based on anatomical landmarks for standard plane reconstruction of calcaneus fractures.
Posted Content
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
TL;DR: In this article, a cross-domain conditional generative adversarial network (GAN) was proposed to generate more consistent stereo pairs for endoscopic image synthesis, which showed substantial improvements in depth perception and realism.
Proceedings ArticleDOI
Multimodal image registration of pre- and intra-interventional data for surgical planning of transarterial chemoembolisation
Barbara I. Waldkirch,Barbara I. Waldkirch,Sandy Engelhardt,Sandy Engelhardt,Frank G. Zöllner,Lothar R. Schad,Ivo Wolf +6 more
TL;DR: This paper evaluates and optimize the performance of three standard registration methods which rely on different similarity metrics, namely Advanced Mattes Mutual Information (AMMI), Advanced Normalized Correlation (ANC) and Normalized Mutual information (NMI), for the registration of preinterventional T1- and T2-weighted MRI to preinter conventional CT as well as intrainterventional Cone Beam CT (CBCT) toPreinterventional CT of the liver.