Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Publikationen
Suchbegriffe: PATTERN RECOGNITION, AUTOMATED - METHODS , . Treffer: 31
2016
Schmid, J; Kaufmann, R; Grübler, MR; Verheyen, N; Weidemann, F; Binder, JS
Strain Analysis by Tissue Doppler Imaging: Comparison of Conventional Manual Measurement with a Semiautomated Approach.
Echocardiography. 2016; 33(3):372-378
Doi: 10.1111/echo.13100
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Yao, J; Burns, JE; Forsberg, D; Seitel, A; Rasoulian, A; Abolmaesumi, P; Hammernik, K; Urschler, M; Ibragimov, B; Korez, R; Vrtovec, T; Castro-Mateos, I; Pozo, JM; Frangi, AF; Summers, RM; Li, S
A multi-center milestone study of clinical vertebral CT segmentation.
Comput Med Imaging Graph. 2016; 49(4):16-28
Doi: 10.1016/j.compmedimag.2015.12.006
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2015
Miñarro-Giménez, JA; Hellrich, J; Schulz, S
Acquisition of Character Translation Rules for Supporting SNOMED CT Localizations.
Stud Health Technol Inform. 2015; 210(12):597-601
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Oleynik, M; Finger, M; Patrão, DF
Automated Classification of Pathology Reports.
Stud Health Technol Inform. 2015; 216(11): 1040-1040.
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Reichmann, F; Painsipp, E; Holzer, P; Kummer, D; Bock, E; Leitinger, G
A novel unbiased counting method for the quantification of synapses in the mouse brain.
J Neurosci Methods. 2015; 240(6):13-21
Doi: 10.1016/j.jneumeth.2014.10.020
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2014
Ebner, T; Stern, D; Donner, R; Bischof, H; Urschler, M
Towards automatic bone age estimation from MRI: localization of 3D anatomical landmarks.
Med Image Comput Comput Assist Interv. 2014; 17(Pt 2):421-428
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Egger, J
Refinement-cut: user-guided segmentation algorithm for translational science.
Sci Rep. 2014; 4(2): 5164-5164.
Doi: 10.1038/srep05164
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Legaz-García, Mdel C; Martínez-Costa, C; Miñarro-Giménez, JA; Fernández-Breis, JT; Schulz, S; Menárguez-Tortosa, M
Ontology patterns-based transformation of clinical information.
Stud Health Technol Inform. 2014; 205(12):1018-1022
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Minarro-Giménez, JA; Marín-Alonso, O; Samwald, M
Exploring the application of deep learning techniques on medical text corpora.
Stud Health Technol Inform. 2014; 205(12): 584-588.
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Stern, D; Ebner, T; Bischof, H; Grassegger, S; Ehammer, T; Urschler, M
Fully automatic bone age estimation from left hand MR images.
Med Image Comput Comput Assist Interv. 2014; 17(Pt 2):220-227
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2012
Egger, J; Freisleben, B; Nimsky, C; Kapur, T
Template-cut: a pattern-based segmentation paradigm.
Sci Rep. 2012; 2(9):420-420
Doi: 10.1038/srep00420
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2011
Dudeck, O; Zeile, M; Andreou, D; Schnapauff, D; Pech, M; Wieners, G; Ricke, J; Reichardt, P; Tunn, PU
Computed tomographic criteria for the discrimination of subcentimeter lung nodules in patients with soft-tissue sarcomas.
Clin Imaging. 2011; 35(3): 174-9.
Doi: 10.1016/j.clinimag.2010.06.005
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Kreuzthaler, M; Schulz, S
Truecasing clinical narratives.
Stud Health Technol Inform. 2011; 169: 589-593.
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2010
Alhonnoro, T; Pollari, M; Lilja, M; Flanagan, R; Kainz, B; Muehl, J; Mayrhauser, U; Portugaller, H; Stiegler, P; Tscheliessnigg, K
Vessel segmentation for ablation treatment planning and simulation.
Med Image Comput Comput Assist Interv. 2010; 13(Pt 1): 45-52.
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Bauer, C; Pock, T; Sorantin, E; Bischof, H; Beichel, R
Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts.
Med Image Anal. 2010; 14(2): 172-184.
Doi: 10.1016/j.media.2009.11.003
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Weng, AM; Ritter, CO; Lotz, J; Beer, MJ; Hahn, D; Kostler, H
Automatic postprocessing for the assessment of quantitative human myocardial perfusion using MRI
Eur Radiol. 2010; 20(6):1356-1365
Doi: 10.1007/s00330-009-1684-z
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2009
Oechsner, M; Pracht, ED; Staeb, D; Arnold, JFT; Kistler, H; Hahn, D; Beer, M; Jakob, PM
Lung Imaging Under Free-Breathing Conditions
Magn Reson Med. 2009; 61(3):723-727
Doi: 10.1002/mrm.21846
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2008
Gerger, A; Wiltgen, M; Langsenlehner, U; Richtig, E; Horn, M; Weger, W; Ahlgrimm-Siess, V; Hofmann-Wellenhof, R; Samonigg, H; Smolle, J
Diagnostic image analysis of malignant melanoma in in vivo confocal laser-scanning microscopy: a preliminary study
SKIN RES TECHNOL. 2008; 14(3): 359-363.
Doi: 10.1111/j.1600-0846.2008.00303.x
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Schulz, S; Daumke, P; Fischer, P; Müller, M; Müller, ML
Evaluation of a document search engine in a clinical department system.
AMIA Annu Symp Proc. 2008; 181(1):647-651
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Stanley, RJ; Stoecker, WV; Moss, RH; Rabinovitz, HS; Cognetta, AB; Argenziano, G; Soyer, HP
A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images.
Skin Res Technol. 2008; 14(4):425-435
Doi: 10.1111/j.1600-0846.2008.00307.x
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2007
Pock, T; Urschler, M; Zach, C; Beichel, R; Bischof, H
A duality based algorithm for TV-L1-optical-flow image registration.
Med Image Comput Comput Assist Interv. 2007; 10(Pt 2): 511-518.
Doi: 10.1007/978-3-540-75759-7_62
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Sjostrand, K; Rostrup, E; Ryberg, C; Larsen, R; Studholme, C; Baezner, H; Ferro, J; Fazekas, F; Pantoni, L; Inzitari, D; Waldemar, G
Sparse decomposition and modeling of anatomical shape variation.
IEEE Trans Med Imaging. 2007; 26(12):1625-1635
Doi: 10.1109/TMI.2007.898808
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2006
Auer, M; Stollberger, R; Regitnig, P; Ebner, F; Holzapfel, GA
3-D reconstruction of tissue components for atherosclerotic human arteries using ex vivo high-resolution MRI.
IEEE TRANS MED IMAGING. 2006; 25(3): 345-357.
Doi: 10.1109/TMI.2006.870485
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Kovacs, L; Zimmermann, A; Brockmann, G; Baurecht, H; Schwenzer-Zimmerer, K; Papadopulos, NA; Papadopoulos, MA; Sader, R; Biemer, E; Zeilhofer, HF
Accuracy and precision of the three-dimensional assessment of the facial surface using a 3-D laser scanner.
IEEE Trans Med Imaging. 2006; 25(6): 742-754.
Doi: 10.1109/TMI.2006.873624
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Leistritz, L; Galicki, M; Kochs, E; Zwick, EB; Fitzek, C; Reichenbach, JR; Witte, H
Application of generalized dynamic neural networks to biomedical data.
IEEE Trans Biomed Eng. 2006; 53(11):2289-2299
Doi: 10.1109/TBME.2006.881766
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Micu, R; Jakobs, TF; Urschler, M; Navab, N
A new registration/visualizat ion paradigm for CT-fluoroscopy guided RF liver ablation
LECT NOTES COMPUT SC. 2006; 4190: 882-890.
Doi: 10.1007/11866565_108
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Urschler, M; Zach, C; Ditt, H; Bischof, H
Automatic point landmark matching for regularizing nonlinear intensity registration: Application to thoracic CT images
LECT NOTES COMPUT SC. 2006; 4191: 710-717.
Doi: 10.1007/11866763_87
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2005
Auer, M; Regitnig, P; Holzapfel, GA
An automatic nonrigid registration for stained histological sections.
IEEE TRANS IMAGE PROCESSING. 2005; 14(4): 475-486.
Doi: 10.1109/TIP.2005.843756
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Baumgartner, C; Böhm, C; Baumgartner, D
Modelling of classification rules on metabolic patterns including machine learning and expert knowledge.
J Biomed Inform. 2005; 38(2):89-98
Doi: 10.1016/j.jbi.2004.08.009
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Dax, JF; Müller-Putz, GR; Pfurtscheller, K; Urlesberger, B; Müller, W; Pfurtscheller, G
Semiautomatic procedure for the investigation of synchronized activity of EEG and heart rate--examination of preterm births
Biomed Tech (Berl). 2005; 50(1-2):19-24
Doi: 10.1515/BMT.2005.004
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2004
Baumgartner, C; Böhm, C; Baumgartner, D; Marini, G; Weinberger, K; Olgemöller, B; Liebl, B; Roscher, AA
Supervised machine learning techniques for the classification of metabolic disorders in newborns.
Bioinformatics. 2004; 20(17):2985-2996
Doi: 10.1093/bioinformatics/bth343
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