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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.
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Journal ArticleDOI
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Olivier Bernard,Alain Lalande,Clement Zotti,Frederick Cervenansky,Xin Yang,Pheng-Ann Heng,Irem Cetin,Karim Lekadir,Oscar Camara,Miguel Ángel González Ballester,Gerard Sanroma,Sandy Napel,Steffen E. Petersen,Georgios Tziritas,Elias Grinias,Mahendra Khened,Varghese Alex Kollerathu,Ganapathy Krishnamurthi,Marc-Michel Rohé,Xavier Pennec,Maxime Sermesant,Fabian Isensee,Paul F. Jäger,Klaus H. Maier-Hein,Peter M. Full,Ivo Wolf,Sandy Engelhardt,Christian F. Baumgartner,Lisa M. Koch,Jelmer M. Wolterink,Ivana Išgum,Yeonggul Jang,Yoonmi Hong,Jay Patravali,Shubham Jain,Olivier Humbert,Pierre-Marc Jodoin +36 more
TL;DR: How far state-of-the-art deep learning methods can go at assessing CMRI, i.e., segmenting the myocardium and the two ventricles as well as classifying pathologies is measured, to open the door to highly accurate and fully automatic analysis of cardiac CMRI.
Journal ArticleDOI
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
Tobias Heimann,B. van Ginneken,Martin Styner,Yulia Arzhaeva,V. Aurich,C. Bauer,A. Beck,C. Becker,Reinhard Beichel,G. Bekes,Fernando Bello,G. Binnig,Horst Bischof,Alexander Bornik,P. Cashman,Ying Chi,A. Cordova,Benoit M. Dawant,Marta Fidrich,Jacob D. Furst,D. Furukawa,Lars Grenacher,Joachim Hornegger,D. Kainmuller,Richard I. Kitney,H. Kobatake,Hans Lamecker,T. Lange,Jeongjin Lee,B. Lennon,Rui Li,Senhu Li,Hans-Peter Meinzer,Gábor Németh,Daniela Raicu,A.-M. Rau,E.M. van Rikxoort,Mikael Rousson,L. Rusko,K.A. Saddi,G. Schmidt,D. Seghers,Akinobu Shimizu,Pieter Slagmolen,Erich Sorantin,G. Soza,R. Susomboon,Jonathan M. Waite,A. Wimmer,Ivo Wolf +49 more
TL;DR: A comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images provides an insight in performance of different segmentation approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques.
Journal ArticleDOI
The Medical Imaging Interaction Toolkit
Ivo Wolf,Marcus Vetter,Ingmar Wegner,Thomas Böttger,Marco Nolden,Max Schöbinger,Mark Hastenteufel,Tobias Kunert,Hans-Peter Meinzer +8 more
TL;DR: The goal of MITK is to significantly reduce the effort required to construct specifically tailored, interactive applications for medical image analysis, by allowing an easy combination of algorithms developed by ITK with visualizations created by VTK and extends these two toolkits with those features outside the scope of both.
Journal ArticleDOI
The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development.
Marco Nolden,Sascha Zelzer,Alexander Seitel,Diana Wald,Michael W. Müller,Alfred M. Franz,Daniel Maleike,Markus Fangerau,Matthias Baumhauer,Matthias Baumhauer,Lena Maier-Hein,Klaus H. Maier-Hein,Hans-Peter Meinzer,Ivo Wolf +13 more
TL;DR: The aim of this paper is to show how MITK evolved into a software system that is able to cover all steps of a clinical workflow including data retrieval, image analysis, diagnosis, treatment planning, intervention support, and treatment control.
Proceedings ArticleDOI
DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images
TL;DR: In contrast to most existing table detection and structure recognition methods, which are applicable only to PDFs, DeepDeSRT processes document images, which makes it equally suitable for born-digital PDFs as well as even harder problems, e.g. scanned documents.