Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. - Alessa Hering; Sven Kuckertz; Stefan Heldmann; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2019)

Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. - Alessa Hering; Sven Kuckertz; Stefan Heldmann; Mattias P. Heinrich (Int. J. Comput. Assist. Radiol. Surg., 2019)

Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy. - Sven Kuckertz; Nils Papenberg; Jonas Honegger; Tomasz Morgas; Benjamin Haas; Stefan Heldmann (Bildverarbeitung für die Medizin, 2020)

Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge. - Stephanie Häger; Stefan Heldmann; Alessa Hering; Sven Kuckertz; Annkristin Lange (MICCAI (Challenges), 2020)

Deep-learning-based CT-CBCT image registration for adaptive radio therapy. - Sven Kuckertz; Nils Papenberg; Jonas Honegger; Tomasz Morgas; Benjamin Haas; Stefan Heldmann (Image Processing, 2020)

Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy. - Sven Kuckertz; Nils Papenberg; Jonas Honegger; Tomasz Morgas; Benjamin Haas; Stefan Heldmann (WBIR, 2020)

A system for fully automated monitoring of lesion evolution over time in multiple sclerosis. - Sven Kuckertz; Florian Weiler; Britta Matusche; Carsten Lukas; Lothar Spies; Jan Klein 001; Stefan Heldmann (Computer-Aided Diagnosis, 2021)

Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge. - Alessa Hering; Annkristin Lange; Stefan Heldmann; Stephanie Häger; Sven Kuckertz (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity. - Sven Kuckertz; Jan Klein 001; Christiane Engel; Benjamin Geisler; Stefan Kraß; Stefan Heldmann (Computer-Aided Diagnosis, 2022)

Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations. - Sven Kuckertz; Stefan Heldmann; Jan Hendrik Moltz (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Segmentation-inspired Image Registration. - Saskia Neuber; Pia F. Schulz; Sven Kuckertz; Jan Modersitzki (Bildverarbeitung für die Medizin, 2024)