Michael Häfner

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 12

Top Topics

Lossy Image Compression

Transfer Learning

Convolutional Neural Networks

Top Venues

Bildverarbeitung für die Medizin

Medical Image Anal.

Publications

Michael Häfner, Aleksandar Radovic, Moritz Langer, Stefan Findenig, Andreas Uhl
Forensic Recognition of Codec-Specific Image Compression Artefacts. IH&MMSec (2024)
Georg Wimmer, Michael Häfner, Andreas Uhl
Improving CNN training on endoscopic image data by extracting additionally training data from endoscopic videos. Comput. Medical Imaging Graph. 86 (2020)
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl
Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine 102 (2018)
Eduardo Ribeiro, Michael Häfner, Georg Wimmer, Toru Tamaki, Jens J. W. Tischendorf, Shigeto Yoshida, Shinji Tanaka, Andreas Uhl
Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks. ISBI (2017)
Georg Wimmer, Toru Tamaki, Jens J. W. Tischendorf, Michael Häfner, Shigeto Yoshida, Shinji Tanaka, Andreas Uhl
Directional wavelet based features for colonic polyp classification. Medical Image Anal. 31 (2016)
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Dorit Merhof, Andreas Uhl
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. CARE@MICCAI (2016)
Peter Elmer, Michael Häfner, Toru Tamaki, Shinji Tanaka, René Thaler, Andreas Uhl, Shigeto Yoshida
Compression Impact on LIRE-based CBIR of Colonoscopy Data. Bildverarbeitung für die Medizin (2016)
Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner
Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features. CARE@MICCAI (2016)
Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification. Comput. Math. Methods Medicine 2016 (2016)
Georg Wimmer, Andreas Uhl, Michael Häfner
A novel filterbank especially designed for the classification of colonic polyps. ICPR (2016)
Eduardo Ribeiro, Andreas Uhl, Michael Häfner
Colonic Polyp Classification with Convolutional Neural Networks. CBMS (2016)
Michael Liedlgruber, Michael Häfner, Jutta Hämmerle-Uhl, Andreas Uhl
Texture Description Using Dual Tree Complex Wavelet Packets. PCM (1) (2016)
Michael Häfner, Toru Tamaki, Shinji Tanaka, Andreas Uhl, Georg Wimmer, Shigeto Yoshida
Local fractal dimension based approaches for colonic polyp classification. Medical Image Anal. 26 (1) (2015)
Michael Häfner, Michael Liedlgruber, Andreas Uhl
Colonic Polyp Classification in High-Definition Video Using Complex Wavelet-Packets. Bildverarbeitung für die Medizin (2015)
Peter Elmer, Michael Häfner, Toru Tamaki, Shinji Tanaka, René Thaler, Andreas Uhl, Shigeto Yoshida
Impact of Lossy Image Compression on CAD Support Systems for Colonoscopy. CARE@MICCAI (2015)
Andreas Uhl, Georg Wimmer, Michael Häfner
Shape and size adapted local fractal dimension for the classification of polyps in HD colonoscopy. ICIP (2014)
Michael Häfner, Michael Liedlgruber, Andreas Uhl
Comparison of Super-Resolution Methods for HD-Video Endoscopy. Bildverarbeitung für die Medizin (2014)
Michael Häfner, Michael Liedlgruber, Andreas Uhl, Georg Wimmer
Bridging the Resolution Gap between Endoscope Types for a Colonic Polyp Classification. ICPR (2014)
Michael Häfner, Michael Liedlgruber, Andreas Uhl, Georg Wimmer
Evaluation of super-resolution methods in the context of colonic polyp classification. CBMI (2014)
Michael Häfner, Andreas Uhl, Georg Wimmer
A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy. MCV (2013)
Michael Häfner, Michael Liedlgruber, Andreas Uhl
POCS-based super-resolution for HD endoscopy video frames. CBMS (2013)
Michael Häfner, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
Delaunay triangulation-based pit density estimation for the classification of polyps in high-magnification chromo-colonoscopy. Comput. Methods Programs Biomed. 107 (3) (2012)
Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia, Andreas Uhl, Bradley C. Davis, Michael Häfner, Friedrich Wrba
Endoscopic image analysis in semantic space. Medical Image Anal. 16 (7) (2012)
Michael Häfner, Michael Liedlgruber, Stefan Maimone, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
Evaluation of cross-validation protocols for the classification of endoscopic images of colonic polyps. CBMS (2012)
Michael Häfner, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
Color treatment in endoscopic image classification using multi-scale local color vector patterns. Medical Image Anal. 16 (1) (2012)
Michael Häfner, Sebastian Hegenbart, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
Optimized selection of weak methods for the classification of endoscopic images using an ensemble classifier. ISPA (2011)
Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba
Learning Pit Pattern Concepts for Gastroenterological Training. MICCAI (3) (2011)
Michael Häfner, Alfred Gangl, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
Endoscopic Image Classification Using Edge-Based Features. ICPR (2010)
Michael Häfner, Leonhard Brunauer, Hannes Payer, Robert Resch, Alfred Gangl, Andreas Uhl, Friedrich Wrba, Andreas Vécsei
Computer-aided classification of zoom-endoscopical images using Fourier filters. IEEE Trans. Inf. Technol. Biomed. 14 (4) (2010)
Roland Kwitt, Andreas Uhl, Michael Häfner, Alfred Gangl, Friedrich Wrba, Andreas Vécsei
Predicting the histology of colorectal lesions in a probabilistic framework. CVPR Workshops (2010)
Michael Häfner, Alfred Gangl, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
Classification of Endoscopic Images Using Delaunay Triangulation-Based Edge Features. ICIAR (2) (2010)
Michael Häfner, Alfred Gangl, Roland Kwitt, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts. MICCAI (1) (2009)
Michael Häfner, Alfred Gangl, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification. DPS (2009)
Michael Häfner, Roland Kwitt, Andreas Uhl, Friedrich Wrba, Alfred Gangl, Andreas Vécsei
Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps. Pattern Recognit. 42 (6) (2009)
Michael Häfner, Roland Kwitt, Andreas Uhl, Alfred Gangl, Friedrich Wrba, Andreas Vécsei
Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images. Pattern Anal. Appl. 12 (4) (2009)
Michael Häfner, Leonhard Brunauer, Hannes Payer, Robert Resch, Friedrich Wrba, Alfred Gangl, Andreas Vécsei, Andreas Uhl
Pit Pattern Classification of Zoom-Endoscopical Colon Images Using DCT and FFT. CBMS (2007)
Johann Hummel, Michael Figl, Wolfgang Birkfellner, Michael Häfner, Christian Kollmann, Helmar Bergmann
Navigation system for flexible endoscopes. Medical Imaging: Image-Guided Procedures (2003)