Sven Kuckertz

15 papers B 1Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Anna Schroder, Xiang Li, Tanveer F. Syeda-Mahmood, Neil P. Oxtoby, Alexandra L. Young, Alessa Hering, Tejas Sudharshan Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi
2024 — conf
Segmentation-inspired Image Registration.
Bildverarbeitung für die Medizin
Saskia Neuber, Pia F. Schulz, Sven Kuckertz, Jan Modersitzki
2023 — conf
Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Sven Kuckertz, Stefan Heldmann, Jan Hendrik Moltz
2023 J jnl
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2022 — conf
Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity.
Computer-Aided Diagnosis
Sven Kuckertz, Jan Klein, Christiane Engel, Benjamin Geisler, Stefan Kraß, Stefan Heldmann
2021 — conf
A system for fully automated monitoring of lesion evolution over time in multiple sclerosis.
Computer-Aided Diagnosis
Sven Kuckertz, Florian Weiler, Britta Matusche, Carsten Lukas, Lothar Spies, Jan Klein, Stefan Heldmann
2021 — conf
Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge.
MIDOG/MOOD/Learn2Reg@MICCAI
Alessa Hering, Annkristin Lange, Stefan Heldmann, Stephanie Häger, Sven Kuckertz
2021 J jnl
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2020 — conf
Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy.
Bildverarbeitung für die Medizin
Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann
2020 B conf
Deep-learning-based CT-CBCT image registration for adaptive radio therapy.
Image Processing
Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann
2020 — conf
Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy.
WBIR
Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann
2020 — conf
Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge.
MICCAI (Challenges)
Stephanie Häger, Stefan Heldmann, Alessa Hering, Sven Kuckertz, Annkristin Lange
2019 — conf
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking.
Bildverarbeitung für die Medizin
Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich
2019 J jnl
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans.
Int. J. Comput. Assist. Radiol. Surg.
Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich
2018 J jnl
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking.
CoRR
Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich