Dr. Jan Klein - Fraunhofer MEVIS

Publications

2024

Gehrmann P, Koller T, Klein J (2024) Towards optimal camera positioning for navigated surgery applications based on RGBD data. Proceedings of SPIE Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling. SPIE, 129280G

2023

Gerken A, Walluscheck S, Kohlmann P, Galinovic I, Villringer K, Fiebach JB, Klein J, Heldmann S (2023) Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomalies. Front. Neuroimaging 2:1228255

Klein J, Gerken A, Agethen N, Rothlübbers S, Upadhyay N, Purrer V, Schmeel C, Borger V, Kovalevsky M, Rachmilevitch I, Shapira Y, Wüllner U, Jenne J (2023) Automatic planning of MR-guided transcranial focused ultrasound treatment for essential tremor. Front. Neuroimaging, Sec. Brain Imaging Methods 2

Schultz B, DeLong LN, Masny A, Lentzen M, Raschka T, van Dijk D, Zaliani A, Hansen AF, Sabine, Rüping KS, Burmeister J, Kohlhammer J, Sarau G, Christiansen S, Kannt A, Zaliani A, Foldenauer AC, Claussen C, Resch E, Frank K, Gribbon P, Kuzikov M, Keminer O, Laue H, Hahn H, Hirsch J, Wischnewski M, Günther M, Archipovas S, Kodamullil AT, Gemünd A, Schultz B, Steinborn C, Ebeling C, Fernández DD, Hermanowski H, Fröhlich H, Klein J, Lentzen M, Jacobs M, Hofmann-Apitius M, Knieps M, Krapp M, Wendland PJ, Wegner P, Khatami SG, Springstubbe S, Linden T, Fluck J, Fröhlich H (2023) A machine learning method for the identification and characterization of novel COVID-19 drug targets. Sci Rep 13(1)

Tatagiba M, Lepski G, Kullmann M, Krischek B, Danz S, Bornemann A, Klein J, Fahrig A, Velnar T, Feigl GC (2023) The Brainstem Cavernoma Case Series: A Formula for Surgery and Surgical Technique. Medicina 59(9):1601

Walluscheck S, Canalini L, Klein J, Heldmann S (2023) Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans. Proc. SPIE Medical Imaging 2023: Computer-Aided Diagnosis. 1246504

Walluscheck S, Canalini L, Strohm H, Diekmann S, Klein J, Heldmann S (2023) MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs. Int J CARS 18:483–491

2022

Barann M, Heldmann S, Klein J, Krass S (2022) A Python SDK for Authoring and Using Computer-Interpretable Guidelines. Proc. of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies – BIOINFORMATICS. pp 99–106

Hänsch A, Jenne JW, Upadhyay N, Schmeel C, Purrer V, Wüllner U, Klein J (2022) Deep learning-assisted fully automatic fiber tracking for tremor treatment. Proc. of SPIE Medical Imaging, Image-Guided Procedures, Robotic Interventions, and Modeling. 120342A

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

Canalini L, Klein J, Pedrosa de Barros N, Sima DM, Miller D, Hahn HK (2021) Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions. Proceedings of SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling. 1159822

Kuckertz S, Weiler F, Matusche B, Lukas C, Spies L, Klein J, Heldmann S (2021) A system for fully automated monitoring of lesion evolution over time in multiple sclerosis. Proceedings of SPIE Medical Imaging: Computer-Aided Diagnosis. 115972D

2020

Canalini L, Klein J, Miller D, Kikinis R (2020) Enhanced registration of ultrasound volumes by segmentation of resection cavity in neurosurgical procedures. Int J CARS 15(12):1963–1974

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

Klein J, Wenzel M, Romberg D, Köhn A, Kohlmann P, Link F, Hänsch A, Dicken V, Stein R, Haase J, Schreiber A, Hahn H, Meine H (2020) QuantMed: Component-based DL platform for translational research. Proceedings of SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications. 113180U:pp 1–8

Moltz JH, Hänsch A, Lassen-Schmidt B, Haas B, Genghi A, Schreier J, Morgas T, Klein J (2020) Learning a Loss Function for Segmentation: A Feasibility Study. IEEE International Symposium on Biomedical Imaging. pp 957–960

2019

Canalini L, Klein J, Miller D, Kikinis R (2019) Registration of ultrasound volumes based on euclidean distance transform. Proceeding of International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. LNCS 11851, pp 127–135

Canalini L, Klein J, Miller D, Kikinis R (2019) Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery. Int J CARS 14(10):1697–1713

Dicken V, Hänsch A, Moltz J, Haas B, Coradi T, Morgas T, Klein J (2019) Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations. Proceedings of SPIE Medical Imaging: Image Processing. 1094914:pp 1–8

Feigl G, Heckl S, Kullmann M, Filip Z, Decker K, Klein J, Ernemann U, Tatagiba M, Velnar T, Ritz R (2019) Review of first clinical experiences with a 1.5 Tesla ceiling-mounted moveable intraoperative MRI system in Europe. Bosn J Basic Med Sci 19(1):24–30

Hänsch A, Cheng B, Frey B, Mayer C, Petersen M, Lettow I, Yazdan Shenas F, Thomalla G, Klein J, Hahn HK (2019) Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation. OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging. LNCS 11796, pp 86–94

Hänsch A, Dicken V, Klein J, Morgas T, Haas B, Hahn HK (2019) Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning. Proceedings of SPIE Medical Imaging: Computer-Aided Diagnosis. 109500T:pp 1–8

Münnich T, Klein J, Hattingen E, Noack A, Seifert V, Senft C, Herrmann E, Forster MT (2019) Tractography verified by Intraoperative Magnetic Resonance Imaging and Subcortical Stimulation during Tumor Resection near the Corticospinal Tract. Oper Neurosurg 16(2):197–210

Nitsch J, Klein J, Dammann D, Wrede K, Gembruch O, Moltz J, Meine H, Sure U, Kikinis R, Miller D (2019) Automatic and Efficient MRI-US Segmentations for Improving Intraoperative Image Fusion in Image-Guided Neurosurgery. Neuroimage Clin 22:101766

Nitsch J, Klein J, Moltz JH, Miller D, Sure U, Kikinis R, Meine H (2019) Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery. Proceedings of SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling. 109511N:pp 1–7

2018

Galinovic I, Dicken V, Heitz J, Klein J, Puig J, Guibernau J, Kemmling A, Gellissen S, Villringer K, Neeb L, Gregori J, Weiler F, Pedraza S, Thomalla G, Fiehler J, Gerloff C, Fiebach JB (2018) Homogeneous application of imaging criteria in a multicenter trial supported by investigator training: A report from the WAKE-UP study. Eur J Radiol 104:115–119

Gregori J, Cornelissen C, S. H, and Treiber MRS, Heldmann S, Klein J, Opfer R, Spies L, Gass A, Ziemsen T, Kitzler H, Weiler F (2018) Feasibility of fully automated atrophy measurement of the upper cervical spinal cord for group analyses and patient-individual diagnosis support in MS. 34th Congress of ECTRIMS – European Committee for Treatment and Research in Multiple Sclerosis. 34th Congress of ECTRIMS – European Committee for Treatment and Research in Multiple Sclerosis (Abstract: A-0950-0023-00837)

Haensch A, Dicken V, Gass T, Morgas T, Klein J, Meine H, Hahn HK (2018) Deep learning based segmentation of organs of the female pelvis in CBCT scans for adaptive radiotherapy using CT and CBCT data. Proceedings of the 32nd International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS). pp 179–180

Hanken K, Francis Y, Kastrup A, Eling P, Klein J, Hildebrandt H (2018) On the role of the amygdala for experiencing fatigue in patients with multiple sclerosis. Mult Scler Relat Disord 20:67–72

Hänsch A, Gass T, Morgas T, Haas B, Meine H, Klein J, Hahn HK (2018) Parotid gland segmentation with deep learning using clinical vs. curated training data. Radiotherapy and Oncology: Proceedings of ESTRO 37. pp S281–S282

Hänsch A, Schwier M, Gass T, Morgas T, Haas B, Dicken V, Meine H, Klein J, Hahn HK (2018) Evaluation of deep learning methods for parotid gland segmentation from CT images. J Med Imag 6(1):011005

Hänsch A, Schwier M, Gass T, Morgasz T, Haas B, Klein J, Hahn HK (2018) Comparison of different deep learning approaches for parotid gland segmentation from CT images. Proceedings of SPIE Medical Imaging: Computer-Aided Diagnosis. 1057519:pp 1–6

Lippert F, Cheng B, Golsari A, Weiler F, Gregori J, Thomalla G, Klein J (2018) Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions. Proceedings of SPIE Medical Imaging: Computer-Aided Diagnosis. 105752F:pp 1–7

Weiler F, Klein J, Gregori J, Spies L, Hildebrandt H, Heldmann S (2018) Fully automatic quantification of mean-upper cervical cord area: Agreement with multiple human raters. International Journal of Computer Assisted Radiology and Surgery. pp 150–151

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

2016

Hanken K, Eling P, Klein J, Klaene E, Hildebrandt H (2016) Different Cortical underpinnings for fatigue and depression in MS? Mult Scler Relat Disord 6:81–86

Hanken K, Manousi A, Klein J, Kastrup A, Eling P, Hildebrandt H (2016) On the relation between self-reported cognitive fatigue and the posterior hypothalamic-brainstem network. Eur J Neurol 23(1):101–109

Sander C, Eling P, Hanken K, Klein J, Kastrup A, Hildebrandt H (2016) The Impact of MS-Related Cognitive Fatigue on Future Brain Parenchymal Loss and Relapse: A 17-Month Follow-up Study. Front Neurol 7

Stuke H, Hanken K, Hirsch J, Klein J, Wittig F, Kastrup A, Hildebrandt H (2016) Cross-Sectional and Longitudinal Relationships between Depressive Symptoms and Brain Atrophy in MS Patients. Front Hum Neurosci 10:8

2015

Bellenberg B, Prehn C, Schneider R, Klein J, Gold R, Lukas C, Krogias C (2015) Cortical and subcortical grey and white matter atrophy in myotonic dystrophies type 1 and 2 is associated with cognitive impairment, depression and daytime sleepiness. PLoS ONE 10(6)

Hahn HK, Kikinis R, Klein J, Nabavi A, Weber S (2015) 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, CURAC 2015. ISBN 978–3-00–050359-7

Hanken K, Eling P, Kastrup A, Klein J, Hildebrandt H (2015) Integrity of hypothalamic fibers and cognitive fatigue in Multiple Sclerosis. Mult Scler Relat Disord 4(1):39–46

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

Klein J, Hanken K, Koceva J, Hildebrandt H, Hahn HK (2015) Measuring the lesion load of multiple sclerosis patients within the corticospinal tract. Proceedings of SPIE Medical Imaging: Image Processing. 94130A:pp 1–7

Nitsch J, Klein J, Dammann P, Miller D, Wrede K, Sure U, Hahn HK (2015) Automatic segmentation of perifalcine structures in two-dimensional ultrasound images using object-based image analysis. Proc. of CURAC 2015. pp 219–224

Nitsch J, Klein J, Miller D, Sure U, Hahn HK (2015) Automatic Segmentation of the Cerebral Falx and Adjacent Gyri in 2D Ultrasound Images. Bildverarbeitung für die Medizin 2015. pp 287–292

Schneider-Gold C, Bellenberg B, Prehn C, Krogias C, Schneider R, Klein J, Gold R, Lukas C, Krahe R (2015) Cortical and Subcortical Grey and White Matter Atrophy in Myotonic Dystrophies Type 1 and 2 Is Associated with Cognitive Impairment, Depression and Daytime Sleepiness. PLoS ONE 10(6):e0130352

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)

Henze R, Brunner R, Thiemann U, Parzer P, Klein J, Resch F, Stieltjes B (2014) The Optic Radiation and the Cerebellar Peduncles in Adolescents with First-Admission Schizophrenia – A Diffusion Tensor Imaging Study. J Neuroimaging 24(2):111–116

Hildebrandt H, Hanken K, Klein J (2014) Die Bedeutung des rechten Inselkortex für erlebte Fatigue bei Multipler Sklerose. Klinische Neurophysiologie. P54

Klein J, Weiler F, Hahn HK (2014) Probabilistic Parameter Adaption for Fiber Tracking of the Corticospinal Tract. Proc. of MICCAI DTI Tractography Challenge

2013

Bauer MHA, Kuhnt D, Barbieri S, Klein J, Becker A, Freisleben B, Hahn HK, Nimsky C (2013) Reconstruction of White Matter Tracts via Repeated Deterministic Streamline Tracking – Initial Experience. PLoS ONE 8(5):e63082

Hildebrandt H, Fink F, Eling P, Stuke H, Klein J, Lentschig M, Kastrup A, Thiel C, Breckel T (2013) Neural correlates of stimulus response and stimulus outcome shifting in healthy participants and MS patients. Brain Cogn 81(1):57–66

Klein J, Meuschke M, Geisler B, Hahn HK (2013) Local Atlas-based Adaptive Fiber Tracking. Proc. of MICCAI 2013 – DTI Tractography Challenge

Rieder C, Brachmann C, Hofmann B, Klein J, Köhn A, Ojdanic D, Schumann C, Weiler F, Hahn HK (2013) Interactive Visualization of Neuroanatomical Data for a Hands-On Multimedia Exhibit. EuroVis Workshop on Visualization in Medicine and Life Sciences (VMLS). pp 37–41

2012

Barbieri S, Klein J, Bauer MHA, Nimsky C, Hahn HK (2012) Atlas-based fiber reconstruction from diffusion tensor MRI data. Int J CARS 7(6):959–967

Barbieri S, Bauer MHA, Klein J, Moltz J, Nimsky C, Hahn HK (2012) DTI Segmentation via the Combined Analysis of Connectivity Maps and Tensor Distances. Neuroimage 60(2):1025–1035

Henze R, Brunner R, Thiemann U, Parzer P, Klein J, Resch F, Stieltjes B (2012) White matter alterations in the corpus callosum of adolescents with first-admission schizophrenia. Neurosci Lett 513(2):178–182

Klein J, Köhler B, Hahn HK (2012) Efficient global fiber tracking on multidimensional diffusion direction maps. Proceedings SPIE Medical Imaging 2012: Image Processing. 83140M:pp 1–8

Klein J, Weiler F, Barbieri S, Hirsch JG, Geisler G, Hahn HK (2012) Quantitative neuroimaging advances. ECR Today 2012, Saturday 3 March 23

Simon D, Fritzsche KH, Thieke C, Klein J, Parzer P, Weber MA, Stieltjes B (2012) Diffusion weighted imaging based probabilistic segmentation of high- and low-proliferative areas in high grade gliomas. Cancer Imaging 12(1):89–99

2011

Barbieri S, Bauer MHA, Klein J, Nimsky C, Hahn HK (2011) Segmentation of fiber tracts based on an accuracy analysis on diffusion tensor software phantoms. Neuroimage 55(2):532–544

Bauer MHA, Barbieri S, Klein J, Egger J, Kuhnt D, Freisleben B, Hahn HK, Nimsky C (2011) Boundary estimation of fiber bundles derived from diffusion tensor images. Int J CARS 6(1):1–11

Klein J, Barbieri S, Bauer MHA, Nimsky C, Hahn HK (2011) Benchmarking the Quality of Diffusion-Weighted Images

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)

2010

Apelt D, Strasburger H, Klein J, Preim B (2010) Impact of adaptation time on contrast sensitivity. Proceedings of SPIE Medical Imaging. 76270P:pp 1–8

Barbieri S, Bauer MHA, Klein J, Nimsky C, Hahn HK (2010) A Variational, Non-Parametric Approach to the Fuzzy Segmentation of Diffusion Tensor Images. Proceeding of MICCAI workshop on Computational Diffusion MRI. pp 134–145

Barbieri S, Klein J, Nimsky C, Hahn HK (2010) Assessing fiber tracking accuracy via diffusion tensor software models. Proceedings of SPIE Medical Imaging. 762326:pp 1–9

Barbieri S, Klein J, Nimsky C, Hahn HK (2010) Towards Image-Dependent Safety Hulls for Fiber Tracking. Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. 1672

Bauer M, Barbieri S, Klein J, Egger J, Kuhnt D, Hahn HK, Freisleben B, Nimsky C (2010) A Ray-based Approach for Boundary Estimation of Fiber Bundles derived from Diffusion Tensor Imaging. Proceedings of Computer Assisted Radiology and Surgery. pp 47–48

Bauer M, Egger J, O'Donnell T, Barbieri S, Klein J, Hahn HK, Freisleben B, Nimsky C (2010) A Fast and Robust Graph-based Approach for Boundary Estimation of Fiber Bundles Based on Fractional Anisotropy Maps. Proceedings of 20th International Conference on Pattern Recognition. pp 4016–4019

Bauer MHA, Egger J, Barbieri S, Klein J, Kuhnt D, Hahn HK, Freisleben B, Nimsky C (2010) Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation. Proceedings of the Biosignal 2010: International Biosignal Processing Conference

Bauer MHA, Egger J, Kuhnt D, Barbieri S, Klein J, Hahn HK, Freisleben B, Nimsky C (2010) A Semi-Automatic Graph-Based Approach for Determining the Boundary of Eloquent Fiber Bundles in the Human Brain. Proc. DGBMT. Rostock

Feigl GC, Ritz R, Moraes M, Klein J, Ramina K, Gharabaghi A, Krischek B, Danz S, Bornemann A, Liebsch M, Tatagiba MS (2010) Resection of malignant brain tumors in eloquent cortical areas: a new multimodal approach combining 5-aminolevulinic acid and intraoperative monitoring. J Neurosurg 113(2):352–357

Fink F, Eling P, Rischkau E, Beyer N, Tomandl B, Klein J, Hildebrandt H (2010) The association between California Verbal Learning Test performance and fibre impairment in multiple sclerosis: evidence from diffusion tensor imaging. Mult Scler 16(3):332–341

Fink F, Klein J, Lanz M, Mitrovics T, Lentschig M, Hahn HK, Hildebrandt H (2010) Comparison of diffusion tensor-based tractography and quantified brain atrophy for analyzing demyelination and axonal loss in MS. J Neuroimaging 20(4):334–344

Fink F, Rischkau E, Butt M, Klein J, Eling P, Hildebrandt H (2010) Efficacy of an executive function intervention program in MS: a placebo-controlled and pseudo-randomised trial. Mult Scler 16(9):1148–1151

Klein J, Barbieri S, Stuke H, Bauer M, Egger J, Nimsky C, Hahn HK (2010) On the Reliability of Diffusion Neuroimaging. In: Cristina Marta Del-Ben (ed) NeuroImaging. InTech, pp 1–24

Klein J, Erhard P, Hahn HK (2010) Resolution-Dependent Differences in Fiber Tracking and Quantification of the Visual Pathways. Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. 1660

Klein J, Grötsch A, Betz D, Barbieri S, Friman O, Stieltjes B, Hildebrandt H, Hahn HK (2010) Qualitative and quantitative analysis of probabilistic and deterministic fiber tracking. Proceedings of SPIE Medical Imaging. 76232A:pp 1–8

Klein J, Scholl M, Köhn A, Hahn HK (2010) Real-time fiber selection using the Wii remote. Proceedings of SPIE Medical Imaging. 76250N:pp 1–8

2009

Apelt D, Rascher-Friesenhausen R, Klein J, Strasburger H, Preim B, Peitgen H-O (2009) Impact of Luminance Distribution in the Visual Field on Foveal Contrast Sensitivity in the Context of Mammographic Softcopy Reading. Proceedings of SPIE Medical Imaging. 72630B:pp 1–9

Apelt D, Strasburger H, Rascher-Friesenhausen R, Klein J, Preim B (2009) Generalizing the Evaluation of Medical Image Processing Tools by Use of Gabor Patterns. J Meth Inf Med 48(4):331–335

Apelt D, Strasburger H, Rascher-Friesenhausen R, Klein J, Preim B, Peitgen H-O (2009) Contrast Sensitivity in Mammographic Softcopy Reading. Proceedings of SPIE Medical Imaging. 726318:pp 1–11

Apelt D, Strasburger H, Rascher-Friesenhausen R, Klein J, Preim B, Peitgen H-O (2009) Recognition of Detail in Mammography. Proceedings of SPIE Medical Imaging. 72631B:pp 1–8

Bellenberg B, Schimrigk S, Brück K, Tönnes C, Chan A, Klein J, Hahn HK, Köster O, Lukas C (2009) Third ventricle enlargement correlates to different patterns of regional fiber integrity in the corpus callosum of relapsing-remitting and secondary progressive multiple sclerosis patients. Multiple Sclerosis ECTRIMS. Düsseldorf, pp 91–92

Hildebrandt H, Fink F, Klein J, Tomandl B (2009) DTI und Hirnatrophie in der Darstellung der Neuropathologie von MS. Nervenarzt 80(1):6–7

Köhn A, Klein J, Weiler F, Peitgen HO (2009) A GPU-based Fiber Tracking Framework using Geometry Shaders. Proceedings of SPIE Medical Imaging. Orlando / USA, 72611J:1–10

Klein J, Friman O, Hadwiger M, Preim B, Ritter F, Vilanova A, Zachmann G, Bartz D (2009) Visual Computing for Medical Diagnosis and Treatment. Comput Graph 33(4):554–565

Klein J, Laun F, Erhard P, Diehl V, Hahn HK (2009) On the Reliability of Quantitative Volumetric and Structural Neuroimaging. J Imaging Decisions MRI 12(3):2–10

Laun FB, Schad LR, Klein J, Stieltjes B (2009) How background noise shifts eigenvectors and increases eigenvalues in DTI. Magn Reson Mater Phy 22(3):151–158

Simon D, Klein J, Rexilius J, Re T, Lemke A, Laun F, Stieltjes B (2009) A Software Tool to automatically evaluate and quantify Diffusion Weighted Images. In: Dössel O, Schlegel WC (eds) Proceedings of 11th World Congress on Medical Physics and Biomedical Engineering. Springer, Berlin Heidelberg, pp 1194–1197

Simon D, Klein J, Rexilius J, Stieltjes B (2009) Objective Tumour Heterogeneity Determination in Gliomas. Proceedings of SPIE Medical Imaging. 72601X:pp 1–9

Thieke C, Nix O, Köhn A, Floca R, van Straaten D, Hahn HK, Strauss LG, Siems U, Graf M, Prüm H, Klein J, Laue H, Kaster F, Hamprecht FA, Simon D, Stieltjes B, Debus J, Huber PE (2009) Ein Framework und Multi-Applikations-Prototyp für integrierte radiologische Diagnostik und Strahlentherapie. DEGRO 2009 15. Jahreskongress der Deutschen Gesellschaft für Radioonkologie, Radioonkologie · Medizinische Physik · Strahlenbiologie. p 81

Weiler F, Rexilius J, Klein J, Hahn HK (2009) NeuroQLab – A Software Assistent for Neurosurgical Planning and Quantitative Image Analysis. Lecture Notes in Informatics. Lübeck, pp 1485–1491

2008

Bellenberg B, Lukas C, Haghikia A, Fischer M, Klein J, Hahn HK, Beste C, Hausmann M, Köster O, Schimrigk SK (2008) Regional fiber degeneration in the corpus callosum monitored by fractional anisotropy correlates to FLAIR hypodensities and black holes in MS patients. European Radiology. Proceesings of the European Congress of Radiology (ECR), 2008

Klein J, Bartz D, Friman O, Hadwiger M, Preim B, Ritter F, Vilanova A, Zachmann G (2008) Advanced Algorithms in Medical Computer Graphics. Proceedings of Eurographics. Eurographics, pp 25–44

Klein J, Stuke H, Rexilius J, Stieltjes B, Hahn HK, Peitgen H-O (2008) Towards User-Independent DTI Quantification. SPIE Medical Imaging. SPIE, Bellingham, Washington, USA, 69142E:pp 1–8

Klein J, Stuke H, Stieltjes B, Konrad O, Hahn HK, Peitgen H-O (2008) Efficient Fiber Clustering using Parameterized Polynomials. Proceedings of SPIE Medical Imaging. SPIE, Bellingham, Washington, USA, 69182X:pp 1–9

Stieltjes B, Klein J, Hyman B, Naul LG, Runge V, Essig M (2008) Reproducible quantification of fiber integrity profiles in the cingulum and the fornix using an experimental 32 channel head coil. Proceedings of the 16th ISMRM Scientific Meeting & Exhibition. Toronto, Canada, 1842

Weiler F, Hahn HK, Köhn A, Friman O, Klein J, Peitgen H-O (2008) Dealing with Inaccuracies in Multimodal Neurosurgical Planning – A Preliminary Concept. Proceedings of the 22nd International Congress and Exhibition of Computer Assisted Radiology and Surgery. pp 77–78

Weiler F, Köhn A, Klein J, Rieder C, Hahn HK, Peitgen H-O (2008) Kontextbezogene Visualisierung neurochirurgischer Planungsdaten. Deutscher Röntgenkongress. 261

2007

Dukatz T, Sure U, Ivinska-Zelder J, Beyer T, Hahn HK, Klein J, Benes L, Bertalanffy H (2007) White Matter Trajectories in Pre- and Postoperative DTI Examinations and Fiber Tracking for Patients with Brain Stem Cavernomas. Proc Soc Clinical Neurophysiology. p e28

Huff S, Laun FB, Stieltjes B, Klein J, Hahn HK, Schad LR (2007) Optimized DTI for fibre bundles of known predominant orientation. Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. 1505

Köhn A, Weiler F, Klein J, Konrad O, Hahn HK, Peitgen H-O (2007) State-of-the-Art Computer Graphics in Neurosurgical Planning and Risk Assessment. Eurographics Short Papers Med Prize Awards 117–120

Klein J, Bittihn P, Ledochowitsch P, Hahn HK, Konrad O, Rexilius J, Peitgen H-O (2007) Grid-Based Spectral Fiber Clustering. In: Cleary KR, Miga MI (eds) SPIE Medical Imaging. SPIE, Bellingham, 65091E:pp 1–10

Klein J, Erhard P, Hermann S, Konrad O, Hahn HK, Leibfritz D, Peitgen H-O (2007) Resolution-Dependent Differences in Fiber Tracking and Quantification. Proceedings of Joint Annual Meeting ISMRM-ESMRMB. MIRA Digital Publishing, 1555

Klein J, Hermann S, Konrad O, Hahn HK (2007) Automatic Quantification of DTI Parameters along Fiber Bundles. In: Horsch A, Deserno TM, Handels H, Meinzer H-P, Tolxdorff T (eds) Bildverarbeitung für die Medizin. Proc BVM

Klein J, Schlüter M, Rexilius J, Konrad O, Erhard P, Stieltjes B, Althaus M, Dreher W, Leibfritz D, Hahn HK, Peitgen H-O (2007) Uncertainty and Reproducibility of Quantitative DTI and Fiber Tracking of the Human Brain. Topics in Advanced Imaging 6:61–64

Klein J, Vilanova A, Ledochowitsch P, Bittihn P, Hahn HK, Konrad O, Rexilius J, Peitgen H-O (2007) Improving Interaction and Perception of Brain Structure using Fiber Clustering. SPIE Newsroom. SPIE, Bellingham, Washington, USA, pp 1–3

Rexilius J, Hahn HK, Klein J, Lentschig MG, Peitgen H-O (2007) Multispectral Brain Tumor Segmentation based on Histogram Model Adaptation. Proceeding of SPIE Medical Imaging. 65140V:pp 1–10

2006

Hahn HK, Klein J, Nimsky C, Rexilius J, Peitgen H-O (2006) Uncertainty in diffusion tensor based fibre tracking. Acta Neurochir Suppl 98:33–41

Klein J, Hahn HK, Rexilius J, Erhard P, Althaus M, Leibfritz D, Peitgen H-O (2006) Efficient Visualization of Fiber Tracking Uncertainty based on Complex Gaussian Noise. Proceedings of the 14th ISMRM Scientific Meeting & Exhibition. Seattle, USA, 2753

Klein J, Ritter F, Hahn HK, Rexilius J, Peitgen H-O (2006) Brain Structure Visualization using Spectral Fiber Clustering. In: Finnegan J (ed) Proceedings of SIGGRAPH

Koehn A, Hahn HK, Klein J, Breitenborn J, Siems U, Boehler T, Berghorn W, Simonotto E, Link F, Rexilius J, Lund R, Jürgens H, Peitgen H-O (2006) A Workflow Optimized Software Platform for Multimodal Neurosurgical Planning and Monitoring. Proceeding CURAC. pp 44–46

Weller R, Klein J, Zachmann G (2006) A Model for the Expected Running Time of Collision Detection using AABB Trees. In: Hubbold R, Lin M (eds) Proceedings of the 12th Eurographics Symposium on Virtual Environments. Proceedings of the 12th Eurographics Symposium on Virtual Environments, pp 11–17