Fraunhofer Institute for Digital Medicine MEVIS2019
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
