Fraunhofer Institute for Digital Medicine MEVIS- Physician, Diplom (M.Sc.) Physical Oceanography
- Coordinator Clinical Cooperations
- Senior Medical Consultant
Dr. med. Benjamin Geisler
Publications
2024
Hering A, Westphal M, Gerken A, Almansour H, Maurer M, Geisler B, Kohlbrandt T, Eigentler T, Amaral T, Lessmann N, Gatidis S, Hahn H, Nikolaou K, Othman A, Moltz J, Peisen F (2024) Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. International Journal of Computer Assisted Radiology and Surgery 19:1689–1697
Schumacher J, Brüssermann S, Geisler B, Jäckle S (2024) COVID-19 isolation and quarantine orders in Berlin-Reinickendorf (Germany): How many, how long and to whom? PLOS ONE 19(3):e0271848
2022
Jäckle S, Alpers R, Kühne L, Schumacher J, Geisler B, Westphal M (2022) EsteR – A Digital Toolkit for COVID-19 Decision Support in Local Health Authorities. German Medical Data Sciences 2022 – Future Medicine: More Precise, More Integrative, More Sustainable!. pp 17–24
Krüger J, Ostwaldt A-C, Spies L, Geisler B, Schlaefer A, Kitzler HH, Schippling S, Opfer R (2022) Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks. Eur Radiol 32(4):2798–2809
Kuckertz S, Klein J, Engel C, Geisler B, Krass S, Heldmann S (2022) Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity. Proc. SPIE Medical Imaging 2022: Computer-Aided Diagnosis. Proc. SPIE 12033, pp 455–459
2021
Jäckle S, Röger E, Dicken V, Geisler B, Schumacher J, Westphal M (2021) A Statistical Model to Assess Risk for Supporting COVID-19 Quarantine Decisions. Int J Environ Res Public Health 18(17):9166
2020
Hänsch A, Moltz JH, Geisler B, Engel C, Klein J, Genghi A, Schreier J, Morgas T, Haas B (2020) Hippocampus segmentation in CT using deep learning: impact of MR versus CT-based training contours. J Med Imaging 7(6):064001
2016
Heckel F, Arlt F, Geisler B, Zidowitz S, Neumuth T (2016) Evaluation of image quality of MRI data for brain tumor surgery. Proceedings of SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment. 97871L:pp 1–7
2015
Klein J, Geisler B, Hahn HK (2015) NeuroQLab DTI – Probabilistic Parameter Adaption for Effcient Fiber Tracking. Proc. of MICCAI 2015 – DTI Tractography Challenge
2014
Dicken V, Geisler B, Weiler F, Klein J, Guenther M, Galinovic I, Fiebach JB, Thomalla G (2014) Results from software based formal training of MR image reading in the WAKE-UP trial. European Stroke Conference (ESC)
Heckel F, Moltz JH, Meine H, Geisler B, Kießling A, D'Anastasi M, Pinto dos Santos D, Theruvath AJ, Hahn HK (2014) On the Evaluation of Segmentation Editing Tools. SPIE J Med Imag 1(3):034005: 1–17
Rieder C, Geisler B, Bruners P, Isfort P, Na H-S, Mahnken AH, Hahn HK (2014) Software-Assisted Post-Interventional Assessment of Radiofrequency Ablation. Proceedings of SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling. 903604:1–8
2013
Klein J, Meuschke M, Geisler B, Hahn HK (2013) Local Atlas-based Adaptive Fiber Tracking. Proc. of MICCAI 2013 – DTI Tractography Challenge
Moltz JH, Steinberg C, Geisler B, Hahn HK (2013) A tool for efficient creation of probabilistic expert segmentations. Medical Image Understanding and Analysis. pp 7–12
2011
Klein J, Weiler F, Barbieri S, Hirsch JG, Geisler B, Hahn HK (2011) NeuroQLab – An Extendible Software Assistant for Efficient and Reproducible Evaluation of Neuroimaging Data. Proceedings of European Congress on Radiology (ECR 2011)
2009
Heckel F, Moltz JH, Dicken V, Geisler B, Bauknecht HC, Fabel M, Meier S, Peitgen H-O (2009) 3D contour based local manual correction of liver segmentations in CT scans. Proceedings of Computer Assisted Radiology and Surgery. pp 45–46
Moltz JH, Geisler B, Bornemann L, Weihusen A, Peitgen H-O (2009) Segmentation of Thermal Liver Lesions for CT-Based Radiofrequency Ablation Assessment. Proceedings ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. pp 19–24
Seyffarth H, Geisler B, Peitgen H-O, Hahn HK (2009) Who may benefit from a combined review of radiologic and pathologic images of breast diseases? In: Dössel O, Schlegel WC (eds) World Congress on Medical Physics and Biomedical Engineering. Springer-Verlag, München, pp 866–867