Michael Friebe
Michael Friebe
Professor, OVG University Magdeburg, Faculty of Medicine + AGH Kraków + FOM
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Zitiert von
Zitiert von
Epileptic seizure detection using cross-bispectrum of electroencephalogram signal
N Mahmoodian, A Boese, M Friebe, J Haddadnia
seizure 66, 4-11, 2019
Electrochemotherapy: A review of current status, alternative IGP approaches, and future perspectives
N Esmaeili, M Friebe
Journal of healthcare engineering 2019, 2019
Evaluation of commonly used algorithms for thyroid ultrasound images segmentation and improvement using machine learning approaches
P Poudel, A Illanes, D Sheet, M Friebe
Journal of healthcare engineering 2018, 2018
Catheter Device for Percutaneous Procedures
G Krombach, A Bucker, JG Pfeffer, M Friebe
US Patent App. 12/300,418, 2009
Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing
A Illanes, A Boese, I Maldonado, A Pashazadeh, A Schaufler, N Navab, ...
Scientific reports 8 (1), 12070, 2018
Future of advanced guidance techniques by interventional CT and MRI
DHW Grönemeyermd, RMM Seibelmd, A Melzermd, A Schmidt, M Deli, ...
Minimally Invasive Therapy 4 (5-6), 251-259, 1995
Radiation therapy techniques in the treatment of skin cancer: an overview of the current status and outlook
A Pashazadeh, A Boese, M Friebe
Journal of Dermatological Treatment, 2019
Comparison of thyroid segmentation techniques for 3D ultrasound
T Wunderling, B Golla, P Poudel, C Arens, M Friebe, C Hansen
Medical Imaging 2017: Image Processing 10133, 346-352, 2017
Thyroid ultrasound texture classification using autoregressive features in conjunction with machine learning approaches
P Poudel, A Illanes, EJG Ataide, N Esmaeili, S Balakrishnan, M Friebe
IEEE Access 7, 79354-79365, 2019
Anatomical structure segmentation in ultrasound volumes using cross frame belief propagating iterative random walks
D China, A Illanes, P Poudel, M Friebe, P Mitra, D Sheet
IEEE journal of biomedical and health informatics 23 (3), 1110-1118, 2018
Thyroid nodule classification for physician decision support using machine learning-evaluated geometric and morphological features
EJ Gomes Ataide, N Ponugoti, A Illanes, S Schenke, M Kreissl, M Friebe
Sensors 20 (21), 6110, 2020
Parametrical modelling for texture characterization—A novel approach applied to ultrasound thyroid segmentation
A Illanes, N Esmaeili, P Poudel, S Balakrishnan, M Friebe
PloS one 14 (1), e0211215, 2019
Healthcare in need of innovation: exponential technology and biomedical entrepreneurship as solution providers (Keynote Paper)
MH Friebe
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and …, 2020
Novel automated vessel pattern characterization of larynx contact endoscopic video images
N Esmaeili, A Illanes, A Boese, N Davaris, C Arens, M Friebe
International journal of computer assisted radiology and surgery 14, 1751-1761, 2019
Proximal detection of guide wire perforation using feature extraction from bispectral audio signal analysis combined with machine learning
N Mahmoodian, A Schaufler, A Pashazadeh, A Boese, M Friebe, A Illanes
Computers in biology and medicine 107, 10-17, 2019
Active contours extension and similarity indicators for improved 3D segmentation of thyroid ultrasound images
P Poudel, A Illanes, C Arens, C Hansen, M Friebe
Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and …, 2017
3D segmentation of thyroid ultrasound images using active contours
P Poudel, C Hansen, J Sprung, M Friebe
Current Directions in Biomedical Engineering 2 (1), 467-470, 2016
Texture differentiation using audio signal analysis with robotic interventional instruments
CH Chen, T Sühn, M Kalmar, I Maldonado, C Wex, R Croner, A Boese, ...
Computers in biology and medicine 112, 103370, 2019
Endoscopic imaging technology today
A Boese, C Wex, R Croner, UB Liehr, JJ Wendler, J Weigt, T Walles, ...
Diagnostics 12 (5), 1262, 2022
Laryngeal lesion classification based on vascular patterns in contact endoscopy and narrow band imaging: manual versus automatic approach
N Esmaeili, A Illanes, A Boese, N Davaris, C Arens, N Navab, M Friebe
Sensors 20 (14), 4018, 2020
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