Real time motion analysis in 4D medical imaging using conditional density propagation. - Johannes Lotz 002; Bernd Fischer 001; Janine Olesch; Matthias Günther (Image Processing, 2013)

Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images. - Johannes Lotz 002; Judith Berger; Benedikt Müller 001; Kai Breuhahn; Niels Grabe; Stefan Heldmann; André Homeyer; Bernd Lahrmann; Hendrik Laue; Janine Olesch; Michael Schwier; Oliver Sedlaczek; et al. (Digital Pathology, 2014)

Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities. - Nick Weiss; Johannes Lotz 002; Jan Modersitzki (Bildverarbeitung für die Medizin, 2015)

Towards MR-guided biopsy outside the MR-scanner: information fusion based on simultaneous ultrasound-MR imaging and real-time motion tracking. - Matthias Günther; Tobias Bartscherer; Joachim Georgii; Holger Hewener; Till Kipshagen; Darko Ojdanic; Bojan Kovec; Johannes Lotz 002; Janine Olesch; Sven Rothlübbers; Michael Schwenke 001; Daniel Speicher; et al. (CURAC, 2015)

Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images. - Johannes Lotz 002; Janine Olesch; Benedikt Müller 001; Thomas Polzin; P. Galuschka; J. M. Lotz; Stefan Heldmann; Hendrik Laue; Margarita Gonzalez-Vallinas; Arne Warth; Bernd Lahrmann; Niels Grabe; et al. (IEEE Trans. Biomed. Eng., 2016)

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 002; Nick Weiss; Jeroen van der Laak; Bram van Ginneken; Christina A. Hulsbergen van de Kaa; Geert Litjens 001 (CoRR, 2018)

Robust, fast and accurate: a 3-step method for automatic histological image registration. - Johannes Lotz 002; Nick Weiss; Stefan Heldmann (CoRR, 2019)

Virtual Staining for Mitosis Detection in Breast Histopathology. - Caner Mercan; G. C. A. M. Mooij; David Tellez; Johannes Lotz 002; Nick Weiss; Marcel van Gerven; Francesco Ciompi (ISBI, 2020)

Virtual staining for mitosis detection in Breast Histopathology. - Caner Mercan; Germonda Reijnen-Mooij; David Tellez Martin; Johannes Lotz 002; Nick Weiss; Marcel van Gerven; Francesco Ciompi (CoRR, 2020)

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. - 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 002; et al. (IEEE Trans. Medical Imaging, 2020)

High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology. - Johannes Lotz 002; Nick Weiss; Jeroen van der Laak; Stefan Heldmann (CoRR, 2021)

HyReCo - Hybrid re-stained and consecutive histological serial sections. - Jeroen van der Laak; Johannes Lotz 002; Nick Weiss; Stefan Heldmann (IEEE DataPort, 2021)

Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers. - Ruqayya Awan; Mohammed Nimir; Shan E Ahmed Raza; Johannes Lotz 002; David R. J. Snead; Andrew Robison; Nasir M. Rajpoot (CoRR, 2022)

Deep feature based cross-slide registration. - Ruqayya Awan; Shan E Ahmed Raza; Johannes Lotz 002; Nick Weiss; Nasir M. Rajpoot (Comput. Medical Imaging Graph., 2023)

PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients. - Tingyan Xu; Timo Wolters; Johannes Lotz 002; Tom Bisson; Tim-Rasmus Kiehl; Nadine Flinner; Norman Zerbe; Marco Eichelberg (EFMI-STC, 2024)

Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation. - Boqiang Huang; Jiayu Ying; Ruizhi Lyu; Nadine S. Schaadt; Barbara Mara Klinkhammer; Peter Boor; Johannes Lotz 002; Friedrich Feuerhake; Dorit Merhof (ISBI, 2024)

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. - 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; et al. (Medical Image Anal., 2024)

Overcoming data scarcity in biomedical imaging with a foundational multi-task model. - Raphael Schäfer; Till Nicke; Henning Höfener; Annkristin Lange; Dorit Merhof; Friedrich Feuerhake; Volkmar Schulz; Johannes Lotz 002; Fabian Kiessling (Nat. Comput. Sci., 2024)

Preservation of Image Content in Stain-to-stain Translation for Digital Pathology. - Boqiang Huang; Wissem Benjeddou; Nadine S. Schaadt; Johannes Lotz 002; Friedrich Feuerhake; Dorit Merhof (Bildverarbeitung für die Medizin, 2025)

Tissue concepts: Supervised foundation models in computational pathology. - Till Nicke; Raphael Schäfer; Henning Höfener; Friedrich Feuerhake; Dorit Merhof; Fabian Kiessling; Johannes Lotz 002 (Comput. Biol. Medicine, 2025)

Tissue Concepts v2: A Supervised Foundation Model For Whole Slide Images. - Till Nicke; Daniela Schacherer; Raphael Schäfer; Natalia Artysh; Antje Prasse; André Homeyer; Andrea Schenk; Henning Höfener; Johannes Lotz 002 (CoRR, 2025)