2017
Weiler F, Hallmann M, Schwier M, Hildebrandt H, Gregori J, Spies L, Klein J, Heldmann S (2017) Fully automated detection, segmentation and quantification of mean cross-sectional area of the spinal cord. Proceedings of the 7thth joint ECTRIMS – ACTRIMS Meeting. P384
2015
Chen K, Derksen A, Heldmann S, Hallmann M, Berkels B (2015) Deformable Image Registration with Automatic Non-Correspondence Detection. Proc. of 5th International Conference on Scale Space Methods and Variational Methods in Computer Vision. LNCS 9087, pp 360–371
Hallmann M, Modersitzki J, Dammann P, Miller D, Sure U (2015) Ultrasound – MRI Fusion for Image – Guided Neurosurgery. Proc. of CURAC 2015. pp 207–211
Koenig L, Derksen A, Hallmann M, Papenberg N (2015) Parallel and Memory Efficient Multimodal Image Registration for Radiotherapy using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. New York City, USA
Rühaak J, Derksen A, Heldmann S, Hallmann M, Meine H (2015) Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study. Proceedings of SPIE Medical Imaging: Image Processing. 941337:pp 1–7
2014
Chen K, Heldmann S, Rühaak J, Hallmann M (2014) Construction of Average STN Atlas using Image Registration and Reconstruction. Proc. MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges – 2nd Edition. Boston, USA, pp 1–9
Chen L, Hallmann M, Barrios Romero D, Wang L, Astrom M, Ryzhkov M, Nijlunsing R, Meine H (2014) Combining tubular tracking and skeletonization for fully-automatic and accurate lead localization in CT images. Proc. Computer Assisted Radiology and Surgery – Neurosurgery and ENT Surgery. pp 195–196
2013
Rühaak J, König L, Hallmann M, Papenberg N, Heldmann S, Schumacher H, Fischer B (2013) A Fully Parallel Algorithm for Multimodal Image Registration Using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. San Francisco, California, USA, pp 572–575