J
Johannes Lotz
Researcher at Fraunhofer Society
Publications - 18
Citations - 633
Johannes Lotz is an academic researcher from Fraunhofer Society. The author has contributed to research in topics: Image registration & Computer science. The author has an hindex of 8, co-authored 13 publications receiving 407 citations. Previous affiliations of Johannes Lotz include University of Lübeck.
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Journal ArticleDOI
Cancer cell invasion and EMT marker expression: a three-dimensional study of the human cancer-host interface.
Peter Bronsert,Kathrin Enderle-Ammour,Moritz Bader,Sylvia Timme,M Kuehs,Agnes Csanadi,Gian Kayser,Ilona Kohler,D Bausch,Jens Hoeppner,Ulrich T. Hopt,Tobias Keck,Elmar Stickeler,Bernward Passlick,Oliver Schilling,CP Reiss,Y Vashist,Thomas Brabletz,J. P. Berger,Johannes Lotz,Janine Olesch,Martin Werner,Ulrich F. Wellner +22 more
TL;DR: The relationship between current biological and clinical concepts such as cell migration modes, tumour budding and epithelial-mesenchymal transition (EMT) remains unclear in several aspects, especially for the'real' situation in human cancer as mentioned in this paper.
Journal ArticleDOI
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
Wouter Bulten,Péter Bándi,Jeffrey Hoven,Rob van de Loo,Johannes Lotz,Nick Weiss,Jeroen van der Laak,Bram van Ginneken,Christina A. Hulsbergen-van de Kaa,Geert Litjens +9 more
TL;DR: In this paper, a U-Net was trained to segment epithelial structures in IHC using a subset of the IHC slides that were preprocessed with color deconvolution.
Journal ArticleDOI
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge
Jiri Borovec,Jan Kybic,Ignacio Arganda-Carreras,Dmitry V. Sorokin,Gloria Bueno,Alexander Khvostikov,Spyridon Bakas,Eric Chang,Stefan Heldmann,Kimmo Kartasalo,Leena Latonen,Johannes Lotz,Michelle Noga,Sarthak Pati,Kumaradevan Punithakumar,Pekka Ruusuvuori,Andrzej Skalski,Nazanin Tahmasebi,Masi Valkonen,Ludovic Venet,Yizhe Wang,Nick Weiss,Marek Wodzinski,Yu Xiang,Yan Xu,Yan Yan,Paul A. Yushkevich,Shengyu Zhao,Arrate Muñoz-Barrutia +28 more
TL;DR: The best methods used coarse but robust initial alignment, followed by non-rigid registration, used multiresolution, and were carefully tuned for the data at hand, which outperformed off-the-shelf methods.
Journal ArticleDOI
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
Wouter Bulten,Péter Bándi,Jeffrey Hoven,Rob van de Loo,Johannes Lotz,Nick Weiss,Jeroen van der Laak,Bram van Ginneken,Christina A. Hulsbergen-van de Kaa,Geert Litjens +9 more
TL;DR: A new deep learning method is proposed to segment epithelial tissue in digitised hematoxylin and eosin stained prostatectomy slides using immunohistochemistry (IHC) as reference standard to create a precise and objective ground truth compared to manual outlining on H&E slides.
Journal ArticleDOI
Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images
Johannes Lotz,Janine Olesch,Benedikt Müller,Thomas Polzin,P. Galuschka,Judith M. Lotz,Stefan Heldmann,Hendrik Laue,Margarita González-Vallinas,Arne Warth,Bernd Lahrmann,Niels Grabe,O. Sedlaczek,Kai Breuhahn,Jan Modersitzki +14 more
TL;DR: The proposed method significantly improves the accuracy of multistain registration which allows us to compare different antibodies at cell level, and is applied to ten whole slide image pairs of human lung cancer data.