Fraunhofer Institute for Digital Medicine MEVIS- Research Scientist
- Image Registration
Annkristin Lange, M.Sc.
Publications
2023
Hering A, Hansen L, Mok TCW, Chung ACS, Siebert H, Hager S, Lange A, Kuckertz S, Heldmann S, Shao W, Vesal S, Rusu M, Sonn G, Estienne T, Vakalopoulou M, Han L, Huang Y, Yap P-T, Brudfors M, Balbastre Y, Joutard S, Modat M, Lifshitz G, Raviv D, Lv J, Li Q, Jaouen V, Visvikis D, Fourcade C, Rubeaux M, Pan W, Xu Z, Jian B, De Benetti F, Wodzinski M, Gunnarsson N, Sjolund J, Grzech D, Qiu H, Li Z, Thorley A, Duan J, Grosbrohmer C, Hoopes A, Reinertsen I, Xiao Y, Landman B, Huo Y, Murphy K, Lessmann N, van Ginneken B, Dalca AV, Heinrich MP (2023) Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans Med Imaging 42(3):697–712
2022
Häger S, Lange A, Heldmann S, Modersitzki J, Petersik A, Schröder M, Gottschling H, Lieth T, Zähringer E, Moltz JH (2022) Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn). In: Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (eds) Bildverarbeitung für die Medizin 2022. Springer Fachmedien Wiesbaden, Wiesbaden, pp 69–74
Lange A, Heldmann S, Moltz JH, Walczak L, Engel C, Detering M, Rörich A, Güttler F, Yarar S, Georgii J (2022) A deformable image-based registration approach to obtain shape correspondence for statistical shape modeling of finger bones. Int J CARS. pp S42–S43
2021
Jäckle S, Lange A, García-Vázquez V, Eixmann T, Matysiak F, Sieren MM, Horn M, Schulz-Hildebrandt H, Hüttmann G, Ernst F, Heldmann S, Pätz T, Preusser T (2021) Instrument Localization for Endovascular Aneurysm Repair – Comparison of two methods based on Tracking Systems or using Imaging. Int J Med Robot Comput Assist Surg 17(6):e2327
2020
Chen Y, Shah NY, Goswami SS, Lange A, von Haxthausen F, Sieren MM, Hagenah J, Ernst F, García-Vázquez V (2020) Localization of endovascular tools in X-ray images using a motorized C-arm: visualization on HoloLens. Curr Dir Biomed Eng 6(1):20200029
Lange A, Heldmann S (2020) Intensity-Based 2D-3D Registration Using Normalized Gradient Fields. In: Tolxdorff T, Deserno TM, Handels H, Maier A, Maier-Hein KH, Palm C (eds) Bildverarbeitung für die Medizin 2020. Springer Fachmedien Wiesbaden, pp 163–168
Lange A, Heldmann S (2020) Multilevel 2D-3D Intensity-Based Image Registration. In: Špiclin Ž, McClelland J, Kybic J, Goksel O (eds) Biomedical Image Registration. LNCS 12120, pp 57–66
2018
Lange A (2018) Mehrgitterverfahren zur FEM-basierten elastischen Registrierung histologischer Serienschnitte. Master's thesis
2015
Lange A (2015) Segmentierung histologischer Gewebeschnitte von Mammakarzinomen mithilfe der Methode der Blind Color Decomposition. Bachelor's thesis