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Bliesener Y, Zhong X, Guo Y, Boss M, Bosca R, Laue H, Chung C, Sung K, Nayak KS (2019) Radiofrequency transmit calibration: A multi-center evaluation of vendor-provided radiofrequency transmit mapping methods. Med Phys 46(6):2629–2637
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 9:864
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 Online first
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 14(5):e0217228
de Jong DLK, de Heus RAA, Rijpma A, Donders R, Olde Rikkert MGM, Günther M, Lawlor BA, van Osch MJP, Claassen JAHR (2019) Effects of Nilvadipine on Cerebral Blood Flow in Patients With Alzheimer Disease: A Randomized Trial. Hypertension 74(2):413–420
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
Feldhaus FW, Theilig DC, Hubner R-H, Kuhnigk J-M, Neumann K, Doellinger F (2019) Quantitative CT analysis in patients with pulmonary emphysema: is lung function influenced by concomitant unspecific pulmonary fibrosis? Int J Chron Obstruct Pulmon Dis 14:1583–1593
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 46(5):2264–2274
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
Hering A, Kuckertz S, Heldmann S, Heinrich MP (2019) Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. International Journal of Computer Assisted Radiology and Surgery Online first
Hofmann B (2019) Linking Science and Technology with Arts and the Next Generation—The Experimental Artist Residency “STEAM Imaging”. Leonardo 1–10
Hoinkiss DC, Erhard P, Breutigam NJ, von Samson-Himmelstjerna F, Guenther M, Porter DA (2019) Prospective Motion Correction in Functional MRI Using Simultaneous Multislice Imaging and Multislice-to-Volume Image Registration. NeuroImage 200:159–173
Jäckle S, Eixmann T, Schulz-Hildebrandt H, Hüttmann G, Pätz T (2019) Fiber optical shape sensing of flexible instruments for endovascular navigation. IJCARS 14(12):2137–2145
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
Lemaire J-J, De Salles A, Coll G, El Ouadih Y, Chaix R, Coste J, Durif F, Makris N, Kikinis R (2019) MRI Atlas of the Human Deep Brain. Front. Neurol. 10:851
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
Meyer MM, Haneder S, Konstandin S, Budjan J, Morelli JN, Schad LR, Kerl HU, Schoenberg SO, Kabbasch C (2019) Repeatability and reproducibility of cerebral 23Na imaging in healthy subjects. BMC Med Imaging 19(1)
Meyer MM, Haneder S, Konstandin S, Budjan J, Morelli JN, Schad LR, Kerl HU, Schoenberg SO, Kabbasch C (2019) Repeatability and reproducibility of cerebral 23Na imaging in healthy subjects. BMC Med Imaging 19(1):26
Meyer MM, Schmidt A, Benrath J, Konstandin S, Pilz LR, Harrington MG, Budjan J, Meyer M, Schad LR, Schoenberg SO, Haneder S (2019) Cerebral sodium (23Na) magnetic resonance imaging in patients with migraine – A case-control study. Eur Radiol 29(12):7055–7062
Miller K, Joldes GR, Bourantas G, Warfield SK, Hyde DE, Kikinis R, Wittek A (2019) Biomechanical modeling and computer simulation of the brain during neurosurgery. Int J Numer Meth Biomed Engng 35(10):e3250
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
Oechtering TH, Sieren MM, Hunold P, Hennemuth A, Huellebrand M, Scharfschwerdt M, Richardt D, Sievers H-H, Barkhausen J, Frydrychowicz A (2019) Time-resolved 3-dimensional magnetic resonance phase contrast imaging (4D Flow MRI) reveals altered blood flow patterns in the ascending aorta of patients with valve-sparing aortic root replacement. J Thorac Cardiovasc Surg
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
Salehi Ravesh M, Langguth P, Pfarr JA, Schupp J, Trentmann J, Koktzoglou I, Edelman RR, Graessner J, Greiser A, Hautemann D, Hennemuth A, Both M, Jansen O, Hovener J-B, Schafer JP (2019) Non-contrast-enhanced magnetic resonance imaging for visualization and quantification of endovascular aortic prosthesis, their endoleaks and aneurysm sacs at 1.5T. Magn Reson Imaging 60:164–172
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
Schuchardt FF, Kaller CP, Strecker C, Lambeck J, Wehrum T, Hennemuth A, Anastasopoulos C, Mader I, Harloff A (2019) Hemodynamics of cerebral veins analyzed by 2D and 4D flow MRI and ultrasound in healthy volunteers and patients with multiple sclerosis. J Magn Reson Imaging
Schwier M, van Griethuysen J, Vangel MG, Pieper S, Peled S, Tempany C, Aerts HJWL, Kikinis R, Fennessy FM, Fedorov A (2019) Repeatability of Multiparametric Prostate MRI Radiomics Features. Sci Rep 9:9441
Shukla-Dave A, Obuchowski NA, Chenevert TL, Jambawalikar S, Schwartz LH, Malyarenko D, Huang W, Noworolski SM, Young RJ, Shiroishi MS, Kim H, Coolens C, Laue H, Chung C, Rosen M, Boss M, Jackson EF (2019) Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials. J Magn Reson Imaging 49(7):e101–e121
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
Tautz L, Walczak L, Georgii J, Jazaerli A, Vellguth K, Wamala I, Sundermann S, Falk V, Hennemuth A (2019) Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences. Int J Comput Assist Radiol Surg 1–10
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
Vellguth K, Bruning J, Tautz L, Degener F, Wamala I, Sundermann S, Kertzscher U, Kuehne T, Hennemuth A, Falk V, Goubergrits L (2019) User-dependent variability in mitral valve segmentation and its impact on CFD-computed hemodynamic parameters. Int J Comput Assist Radiol Surg
von Haxthausen F, Jäckle S, Strehlow J, Ernst F, García-Vázquez V (2019) Catheter pose-dependent virtual angioscopy images visualized on augmented reality glasses. Current Directions in Biomedical Engineering 5(1):289–291
Wamala I, Bruning J, Dittmann J, Jerichow S, Weinhold J, Goubergitis L, Hennemuth A, Volkmar F, Kempfert J (2019) Simulation of a Right Anterior Thoracotomy Access for Aortic Valve Replacement Using a 3D Printed Model. Innovations (Phila) 1556984519870510
Wenzel M, Milletari F, Krüger J, Lange C, Schenk M, Apostolova I, Klutmann S, Ehrenburg M, Buchert R (2019) Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics. EUR J NUCL MED MOL I Online first
Zaffino P, Pernelle G, Mastmeyer A, Mehrtash A, Zhang H, Kikinis R, Kapur T, Francesca Spadea M (2019) Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy. Phys. Med. Biol. 64(16):165008


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
Chlebus G, Abolmaali N, Schenk A, Meine H (2019) Relevance analysis of MRI sequences for automatic liver tumor segmentation. Proceedings of Medical Imaging with Deep Learning (MIDL 2019). pp 1–4
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
Eickel K, Blaimer M, Günther M (2019) Signal Stability and Sensitivity of Referenceless Reconstructions with SMSnet in Simultaneous Multi-Slice Imaging. Proceedings of the International Society of Magnetic Resonance in Medicine. 4646
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
Hennemuth A, Kuhnigk JM, Steinmetz M, Kelle S, Chitiboi T, Frahm J, Huellebrand M (2019) Automatic Analysis of Multicycle Real-time MRI for the Assessment of Variable Cardiac Function based on Multi-orientation U-net Segmentation. International Society for Magnetic Resonance in Medicine. 2127
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
Himstedt M, Derksen A, Papenberg N, Honegger J, Haas B, Morgas T, Cihoric N, Chopra S, Mangaj A, Swamidas J (2019) Deformable Image Registration using Structure Guidance for Dose Accumulation. International Conference on the Use of Computers in Radiation Therapy
Hoinkiss DC, Cordes C, Konstandin S, Huber J, Wilke R, Günther M (2019) Real-Time Sequence Control for Prospective Motion Correction in a Dynamic, Platform-Independent MRI Framework. Proceedings of the 36th Annual Scientific Meeting of the ESMRMB. S14.02
Huber J, Hoinkiss DC, Vicari M, Günther M, Wilke R (2019) 3D Rigid Body Motion Correction in ASL-Perfusion Imaging Using 3D GRASE PROPELLER. Proceedings of the 36th Annual Scientific Meeting of the ESMRMB. P02.09
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
Kanski M, Chitiboi T, Tautz L, Hennemuth A, Halpern D, Sherrid MV, Axel L (2019) Analysis of Three-Chamber View Tagged Cine MRI in Patients with Suspected Hypertrophic Cardiomyopathy. Functional Imaging and Modeling of the Heart. LNCS 11504, pp 425–432
Karimkeshteh S, Kaufhold L, Nordmeyer S, Jarmatz L, Harloff A, Hennemuth A (2019) Comparing Subjects with Reference Populations – A Visualization Toolkit for the Analysis of Aortic Anatomy and Pressure Distribution. Functional Imaging and Modeling of the Heart. LNCS 11504, 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
Kraft V., Strehlow J., Jäckle S., García-Vázquez V, Link F, von Haxthausen F., Schenk A., Schumann C. (2019) A comparison of streaming methods for the Microsoft HoloLens. Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie CURAC. pp 212–216
Meine H, Hering A (2019) Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor. Proceedings of Medical Imaging with Deep Learning (MIDL 2019). pp 1–4
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
Reinschluessel AV, Muender T, Uslar V, Weyhe D, Schenk A, Malaka R (2019) Tangible Organs: Introducing 3D Printed Organ Models with VR to Interact with Medical 3D Models. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. pp 1–6
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
Walczak L, Georgii J, Tautz L, Neugebauer M, Wamala I, Sündermann S, Falk V, Hennemuth A (2019) Using Position-Based Dynamics for Simulating the Mitral Valve in a Decision Support System. Proc. of Eurographics Workshop on Visual Computing for Biology and Medicine. pp 165–175