H
H. O. Peitgen
Researcher at University of Bremen
Publications - 48
Citations - 2451
H. O. Peitgen is an academic researcher from University of Bremen. The author has contributed to research in topics: Visualization & Segmentation. The author has an hindex of 21, co-authored 48 publications receiving 2277 citations. Previous affiliations of H. O. Peitgen include Fraunhofer Society.
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Journal ArticleDOI
Analysis of vasculature for liver surgical planning
TL;DR: Methods for a geometrical and structural analysis of vessel systems have been evaluated in the clinical environment and have been used in more than 170 cases so far to plan interventions and transplantations.
Journal ArticleDOI
Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans
Jan-Martin Kuhnigk,Volker Dicken,L. Bornemann,A. Bakai,Dag Wormanns,Stefan Krass,H. O. Peitgen +6 more
TL;DR: In vivo interobserver and interscan studies on low-dose data from eight clinical metastasis patients revealed that clinically significant volume change can be detected reliably and with negligible computation time by the presented methods.
Journal ArticleDOI
Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge
Rashed Karim,R. James Housden,Mayuragoban Balasubramaniam,Zhong Chen,Daniel J. Perry,Ayesha Uddin,Yosra Al-Beyatti,Ebrahim Palkhi,Prince Acheampong,Samantha Obom,Anja Hennemuth,Yingli Lu,Wenjia Bai,Wenzhe Shi,Yi Gao,H. O. Peitgen,Perry Radau,Reza Razavi,Allen Tannenbaum,Daniel Rueckert,Josh Cates,Tobias Schaeffter,Dana C. Peters,Dana C. Peters,Rob S. MacLeod,Kawal Rhode +25 more
TL;DR: A standardised evaluation benchmarking framework for algorithms segmenting fibrosis and scar from LGE CMR images is presented and it is concluded that currently no algorithm is deemed clearly better than others.
Journal ArticleDOI
Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans
Jan Hendrik Moltz,L. Bornemann,Jan-Martin Kuhnigk,Volker Dicken,E. Peitgen,S. Meier,Hendrik Bolte,M Fabel,H. C. Bauknecht,M. Hittinger,Andreas Kiessling,M. Pusken,H. O. Peitgen +12 more
TL;DR: Advanced algorithms for segmenting lung nodules, liver metastases, and enlarged lymph nodes in CT scans are presented that combines a threshold-based approach with model-based morphological processing and propose extensions that deal with particular challenges of each lesion type.
Proceedings ArticleDOI
Visualization and interaction techniques for the exploration of vascular structures
TL;DR: The application of vessel visualization techniques for liver surgery planning is described and it is crucial to recognize the morphology and branching pattern of vascular systems as well as the basic spatial relations between vessels and other anatomic structures.