Dr. med. Benjamin Geisler

  • Physician, Diplom (M.Sc.) Physical Oceanography
  • Coordinator Clinical Cooperations
  • Senior Medical Consultant



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
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


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


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


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


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


Klein J, Geisler B, Hahn HK (2015) NeuroQLab DTI – Probabilistic Parameter Adaption for Effcient Fiber Tracking. Proc. of MICCAI 2015 – DTI Tractography Challenge


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


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


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)


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