Johannes Lotz

24 papers B 1Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Preservation of Image Content in Stain-to-stain Translation for Digital Pathology.
Bildverarbeitung für die Medizin
Boqiang Huang, Wissem Benjeddou, Nadine S. Schaadt, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof
2025 J jnl
Tissue Concepts v2: A Supervised Foundation Model For Whole Slide Images.
CoRR
Till Nicke, Daniela Schacherer, Raphael Schäfer, Natalia Artysh, Antje Prasse, André Homeyer, Andrea Schenk, Henning Höfener, Johannes Lotz
2025 J jnl
Tissue concepts: Supervised foundation models in computational pathology.
Comput. Biol. Medicine
Till Nicke, Raphael Schäfer, Henning Höfener, Friedrich Feuerhake, Dorit Merhof, Fabian Kiessling, Johannes Lotz
2024 J jnl
Overcoming data scarcity in biomedical imaging with a foundational multi-task model.
Nat. Comput. Sci.
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling
2024 — conf
PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients.
EFMI-STC
Tingyan Xu, Timo Wolters, Johannes Lotz, Tom Bisson, Tim-Rasmus Kiehl, Nadine Flinner, Norman Zerbe, Marco Eichelberg
2024 J jnl
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.
Medical Image Anal.
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2024 J jnl
Tissue Concepts: supervised foundation models in computational pathology.
CoRR
Till Nicke, Raphael Schäfer, Henning Höfener, Friedrich Feuerhake, Dorit Merhof, Fabian Kiessling, Johannes Lotz
2024 — conf
Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation.
ISBI
Boqiang Huang, Jiayu Ying, Ruizhi Lyu, Nadine S. Schaadt, Barbara Mara Klinkhammer, Peter Boor, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof
2023 J jnl
Deep feature based cross-slide registration.
Comput. Medical Imaging Graph.
Ruqayya Awan, Shan E Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot
2023 J jnl
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model.
CoRR
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling
2023 J jnl
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue.
CoRR
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2022 J jnl
Deep Feature based Cross-slide Registration.
CoRR
Ruqayya Awan, Shan-E-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot
2022 J jnl
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers.
CoRR
Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza, Johannes Lotz, David R. J. Snead, Andrew Robison, Nasir M. Rajpoot
2021 J jnl
High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology.
CoRR
Johannes Lotz, Nick Weiss, Jeroen van der Laak, Stefan Heldmann
2020 J jnl
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.
IEEE Trans. Medical Imaging
Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao 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
2020 — conf
Virtual Staining for Mitosis Detection in Breast Histopathology.
ISBI
Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi
2020 J jnl
Virtual staining for mitosis detection in Breast Histopathology.
CoRR
Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi
2019 J jnl
Robust, fast and accurate: a 3-step method for automatic histological image registration.
CoRR
Johannes Lotz, Nick Weiss, Stefan Heldmann
2018 J jnl
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.
CoRR
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
2016 J jnl
Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images.
IEEE Trans. Biomed. Eng.
Johannes Lotz, Janine Olesch, Benedikt Müller, Thomas Polzin, P. Galuschka, J. M. Lotz, Stefan Heldmann, Hendrik Laue, Margarita Gonzalez-Vallinas, Arne Warth, Bernd Lahrmann, Niels Grabe, Oliver Sedlaczek, Kai Breuhahn, Jan Modersitzki
2015 — conf
Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities.
Bildverarbeitung für die Medizin
Nick Weiss, Johannes Lotz, Jan Modersitzki
2015 — conf
Towards MR-guided biopsy outside the MR-scanner: information fusion based on simultaneous ultrasound-MR imaging and real-time motion tracking.
CURAC
Matthias Günther, Tobias Bartscherer, Joachim Georgii, Holger Hewener, Till Kipshagen, Darko Ojdanic, Bojan Kovec, Johannes Lotz, Janine Olesch, Sven Rothlübbers, Michael Schwenke, Daniel Speicher, Steffen H. Tretbar
2014 — conf
Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images.
Digital Pathology
Johannes Lotz, Judith Berger, Benedikt Müller, Kai Breuhahn, Niels Grabe, Stefan Heldmann, André Homeyer, Bernd Lahrmann, Hendrik Laue, Janine Olesch, Michael Schwier, Oliver Sedlaczek, Arne Warth
2013 B conf
Real time motion analysis in 4D medical imaging using conditional density propagation.
Image Processing
Johannes Lotz, Bernd Fischer, Janine Olesch, Matthias Günther