Scientific Publications

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Bulten W, Bándi P, Hoven J, Loo R van de, Lotz J, Weiss N, Laak J van der, Ginneken B van, Hulsbergen-van de Kaa C, Litjens G (2019) Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. Sci Rep 9(1)
Chlebus G, Meine H, Thoduka S, Abolmaali N, van Ginneken B, Hahn HK, Schenk A (2019) Reducing inter-observer variability and interaction time ofMR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections. PLOS ONE
Eisele P, Konstandin S, Szabo K, Ebert A, Roßmanith C, Paschke N, Kerschensteiner M, Platten M, Schoenberg SO, Schad LR, Gass A (2019) Temporal evolution of acute multiple sclerosis lesions on serial sodium (23Na) MRI. Mult Scler Relat Disord 29:48–54
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
Goubergrits L, Hellmeier F, Neumann D, Mihalef V, Gulsun MA, Chinali M, Secinaro A, Runte K, Schubert S, Berger F, Kuehne T, Hennemuth A, Kelm M (2019) Patient-specific requirements and clinical validation of MRI-based pressure mapping: A two-center study in patients with aortic coarctation. J Magn Reson Imaging 49(1):81–89
Grob D, Oostveen L, Rühaak J, Heldmann S, Mohr B, Michielsen K, Dorn S, Prokop M, Kachelrieβ M, Brink M, Sechopoulos I (2019) Accuracy of registration algorithms in subtraction CT of the lungs: A digital phantom study. Med Phys
Harloff A, Hagenlocher P, Lodemann T, Hennemuth A, Weiller C, Hennig J, Vach W (2019) Retrograde aortic blood flow as a mechanism of stroke: MR evaluation of the prevalence in a population-based study. Eur Radiol
Höfener H, Homeyer A, Förster M, Drieschner N, Schildhaus H-U, Hahn HK (2019) Automated Density-based Counting of FISH Amplification Signals for HER2 Status Assessment. Comput Methods Programs Biomed 173:77–85
Hofmann B (2019) Linking Science and Technology with Arts and the Next Generation—The Experimental Artist Residency “STEAM Imaging”. Leonardo 1–10
Kiessling F (2019) Molecular Imaging Unravels Cerebral Malaria. Radiology 290(2):368–369
Klein O, Kanter F, Kulbe H, Jank P, Denkert C, Nebrich G, Schmitt WD, Wu Z, Kunze CA, Sehouli J, Darb‐Esfahani S, Braicu I, Lellmann J, Thiele H, Taube ET (2019) MALDI‐Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods. Prot Clin Appl 13(1):1700181
Kocev B, Hahn HK, Linsen L, Wells WM, Kikinis R (2019) Uncertainty-aware asynchronous scattered motion interpolation using Gaussian process regression. Comput Med Imaging Graph 72:1–12
Lange T, Taghizadeh E, Knowles BR, Südkamp NP, Zaitsev M, Meine H, Izadpanah K (2019) Quantification of patellofemoral cartilage deformation and contact area changes in response to static loading via high‐resolution MRI with prospective motion correction. J Magn Reson Imaging
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. Operative Neurosurgery 16(2):197–210
Neugebauer M, Tautz L, Hüllebrand M, Sündermann S, Degener F, Goubergrits L, Kühne T, Falk V, Hennemuth A (2019) Virtual downsizing for decision support in mitral valve repair. Int J CARS 14(2):357–371
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: Clinical
Oeltze‐Jafra S, Meuschke M, Neugebauer M, Saalfeld S, Lawonn K, Janiga G, Hege H‐C, Zachow S, Preim B (2019) Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges. Computer Graphics Forum 38(1):87–125
Ristovski G, Garbers N, Hahn HK, Preusser T, Linsen L (2019) Uncertainty-aware visual analysis of radiofrequency ablation simulations. Comput Graph 79:24–35
Rizk J, Latus H, Shehu N, Mkrtchyan N, Zimmermann J, Martinoff S, Ewert P, Hennemuth A, Stern H, Meierhofer C (2019) Elevated diastolic wall shear stress in regurgitant semilunar valvular lesions. J Magn Reson Imaging
Schröder J, Heinze M, Günther M, Cheng B, Nickel A, Schröder T, Fischer F, Kessner SS, Magnus T, Fiehler J, Larena-Avellaneda A, Gerloff C, Thomalla G (2019) Dynamics of brain perfusion and cognitive performance in revascularization of carotid artery stenosis. Neuroimage Clin 22:101779
Schreuder A, Jacobs C, Gallardo-Estrella L, Prokop M, Schaefer-Prokop CM, van Ginneken B, Bagci U (2019) Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances. PLoS ONE 14(2):e0212756
Spahr N, Thoduka S, Abolmaali N, Kikinis R, Schenk A (2019) Multimodal image registration for liver radioembolization planning and patient assessment. Int J CARS 14(2):215–225
Sun Q, Barz M, De Geest BG, Diken M, Hennink WE, Kiessling F, Lammers T, Shi Y (2019) Nanomedicine and macroscale materials in immuno-oncology. Chem Soc Rev 48(1):351–381
Unger M, Black D, Fischer NM, Neumuth T, Glaser B (2019) Design and evaluation of an eye tracking support system for the scrub nurse. Int J Med Robotics Comput Assist Surg 15(1):e1954
van den Heuvel TLA, Petros H, Santini S, de Korte CL, van Ginneken B (2019) Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries. Ultrasound Med Biol 45(3):773–785


Archipovas S, Wilke RN, Konstandin S, Huber J, Hoinkiss DC, Cordes C, Breutigam NJ, Guenther M (2019) A prototype of a fully integrated environment for a collaborative work in MR sequence development for a reproducible research. Proceedings of the 27th Annual Meeting of the International Society of Magnetic Resonance in Medicine. 0945
Breutigam NJ, Buck MA, Hoinkiss DC, von Samson-Himmelstjerna F, Günther M (2019) Automated Subject-Specific Adaption of pCASL Timing Parameters in Real Time. Proceedings of the University of Michigan International Workshop on Arterial Spin Labeling MRI: Technical Updates and Clinical Experience. 27
Budelmann D, König L, Papenberg N, Lellmann J (2019) Fully-Deformable 3D Image Registration in Two Seconds. Bildverarbeitung für die Medizin 2019. pp 302–307
Cordes C, Konstandin S, Mensing D, Archipovas S, Wilke RW, Guenther M (2019) Configuring, viewing, exploring and exporting reproducible, vendor-independent MRI pulse sequences. Proceedings of the International Society of Magnetic Resonance in Medicine. 4826
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
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
Hering A, Heldmann S (2019) Unsupervised Learning for Large Motion Thoracic CT Follow-Up Registration. Proceedings of SPIE Medical Imaging: Image Processing. 109491B:pp 1–7
Hering A, Kuckertz S, Heldmann S, Heinrich MP (2019) Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. Bildverarbeitung für die Medizin 2019. pp 309–314
Huber J, Vicari M, Guenther M (2019) Motion robust distortion-free Arterial Spin Labeling. Proceedings of the International Society of Magnetic Resonance in Medicine
Jäckle S, Strehlow J, Heldmann S (2019) Shape Sensing with Fiber Bragg Grating Sensors. Bildverarbeitung für die Medizin 2019. pp 258–263
Karimkeshteh S, Kaufhold L, Nordmeyer S, Jarmatz L, Harloff A, Hennemuth A (2019) A concept for the inter-subject comparison of the interplay between aorta geometry and pressure distribution. Functional Imaging and Modeling of the Heart. Spriner, pp 370–378
Keith G, Vicari M, Woodward R, Porter AD (2019) High Spectral Bandwith (EPSI) 1H EPSI at 7 Tesla: a Readout-Segmented Approach with Compressed-Sensing Capability. Proceedings of the ISMRM Workshop on Ultrahigh Field MR
Keith G, Vicari M, Woodward R, Porter AD (2019) In vivo echo-planar spectroscopic imaging (EPSI) at 7 tesla with readout segmentation for improved bandwidth. Proceedings of the International Society of Magnetic Resonance in Medicine
Konstandin S, Cordes C, Guenther M (2019) Dynamic platform-independent MRI vs. manufacturer’s implementations. Proceedings of the International Society of Magnetic Resonance in Medicine. 4841
Moltz JH (2019) Stability of radiomic features of liver lesions from manual delineation in CT scans. Proceedings of SPIE Medical Imaging: Computer-Aided Diagnosis. 109501W:pp 1–7
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
Schuppert C, von Krüchten R, Hirsch JG, Hoinkiss DC, von Stackelberg O, Kauczor HU, Bamberg F, Schlett CL (2019) Protocol Repetition in Whole-Body MR Imaging Within a Large Population-Based Cohort Study: Behavior of Radiologic Technologists and Potential of Automated Image Quality Assessment. Proceedings of the 2019 European Congress of Radiology. B-0019