Annkristin Lange

Researcher, Fraunhofer MEVIS

Joined

December 2021

Names

Annkristin Lange (Preferred)

Emails

****@mevis.fraunhofer.de (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

Researcher

Fraunhofer MEVIS (fraunhofer.de)

2018 – Present

MS student

Universität zu Lübeck (uni-luebeck.de)

2015 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

A deformable image-based registration approach to obtain shape correspondence for statistical shape modeling of finger bones
Annkristin Lange, Stefan Heldmann, Jan Hendrik Moltz, Lars Walczak, Christiane Engel, Mia Detering, Anna Rörich, Felix Güttler, Sinef Yarar-Schlickewei, Joachim Georgii
- 08 May 2022 (modified: 05 May 2023)
- WBIR 2022 Short
- Readers: Everyone
Instrument localisation for endovascular aneurysm repair: Comparison of two methods based on tracking systems or using imaging
Sonja Jäckle, Annkristin Lange, Verónica García‐Vázquez, Tim Eixmann, Florian Matysiak, Malte Maria Sieren, Marco Horn, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Floris Ernst, Stefan Heldmann, Torben Pätz, Tobias Preusser
- 01 Feb 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard et al. (27 additional authors not shown)
- 2021 (modified: 16 Dec 2021)
- CoRR 2021
- Readers: Everyone
Multilevel 2D-3D Intensity-Based Image Registration
Annkristin Lange, Stefan Heldmann
- 2020 (modified: 01 Feb 2022)
- WBIR 2020
- Readers: Everyone
Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge
Stephanie Häger, Stefan Heldmann, Alessa Hering, Sven Kuckertz, Annkristin Lange
- 2020 (modified: 01 Feb 2022)
- MICCAI (Challenges) 2020
- Readers: Everyone
Intensity-Based 2D-3D Registration Using Normalized Gradient Fields
Annkristin Lange, Stefan Heldmann
- 2020 (modified: 01 Feb 2022)
- Bildverarbeitung für die Medizin 2020
- Readers: Everyone

Co-Authors

View all 65 co-authors

Annkristin Lange

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

A deformable image-based registration approach to obtain shape correspondence for statistical shape modeling of finger bones

Instrument localisation for endovascular aneurysm repair: Comparison of two methods based on tracking systems or using imaging

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Multilevel 2D-3D Intensity-Based Image Registration

Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge

Intensity-Based 2D-3D Registration Using Normalized Gradient Fields

Co-Authors