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Michael Häfner
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2020 – today
- 2024
- [c26]Michael Häfner, Aleksandar Radovic, Moritz Langer, Stefan Findenig, Andreas Uhl:
Forensic Recognition of Codec-Specific Image Compression Artefacts. IH&MMSec 2024: 131-136 - 2020
- [j11]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: 101798 (2020)
2010 – 2019
- 2018
- [j10]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: 251-259 (2018) - 2017
- [c25]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: 1044-1048 - 2016
- [j9]Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner:
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification. Comput. Math. Methods Medicine 2016: 6584725:1-6584725:16 (2016) - [j8]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: 16-36 (2016) - [c24]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: 152-157 - [c23]Eduardo Ribeiro, Andreas Uhl, Michael Häfner:
Colonic Polyp Classification with Convolutional Neural Networks. CBMS 2016: 253-258 - [c22]Georg Wimmer, Andreas Uhl, Michael Häfner:
A novel filterbank especially designed for the classification of colonic polyps. ICPR 2016: 2150-2155 - [c21]Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner:
Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features. CARE@MICCAI 2016: 1-13 - [c20]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: 59-71 - [c19]Michael Liedlgruber, Michael Häfner, Jutta Hämmerle-Uhl, Andreas Uhl:
Texture Description Using Dual Tree Complex Wavelet Packets. PCM (1) 2016: 181-190 - 2015
- [j7]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): 92-107 (2015) - [c18]Michael Häfner, Michael Liedlgruber, Andreas Uhl:
Colonic Polyp Classification in High-Definition Video Using Complex Wavelet-Packets. Bildverarbeitung für die Medizin 2015: 365-370 - [c17]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: 1-11 - 2014
- [c16]Michael Häfner, Michael Liedlgruber, Andreas Uhl:
Comparison of Super-Resolution Methods for HD-Video Endoscopy. Bildverarbeitung für die Medizin 2014: 78-83 - [c15]Michael Häfner, Michael Liedlgruber, Andreas Uhl, Georg Wimmer:
Evaluation of super-resolution methods in the context of colonic polyp classification. CBMI 2014: 1-6 - [c14]Andreas Uhl, Georg Wimmer, Michael Häfner:
Shape and size adapted local fractal dimension for the classification of polyps in HD colonoscopy. ICIP 2014: 2299-2303 - [c13]Michael Häfner, Michael Liedlgruber, Andreas Uhl, Georg Wimmer:
Bridging the Resolution Gap between Endoscope Types for a Colonic Polyp Classification. ICPR 2014: 2739-2744 - 2013
- [c12]Michael Häfner, Michael Liedlgruber, Andreas Uhl:
POCS-based super-resolution for HD endoscopy video frames. CBMS 2013: 185-190 - [c11]Michael Häfner, Andreas Uhl, Georg Wimmer:
A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy. MCV 2013: 205-213 - 2012
- [j6]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): 565-581 (2012) - [j5]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): 75-86 (2012) - [j4]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): 1415-1422 (2012) - [c10]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: 1-6 - 2011
- [c9]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: 721-726 - [c8]Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba:
Learning Pit Pattern Concepts for Gastroenterological Training. MICCAI (3) 2011: 280-287 - 2010
- [j3]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): 958-970 (2010) - [c7]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: 103-110 - [c6]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: 131-140 - [c5]Michael Häfner, Alfred Gangl, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba:
Endoscopic Image Classification Using Edge-Based Features. ICPR 2010: 2724-2727
2000 – 2009
- 2009
- [j2]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): 407-413 (2009) - [j1]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): 1180-1191 (2009) - [c4]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: 1-6 - [c3]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: 247-254 - 2007
- [c2]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: 159-164 - 2003
- [c1]Johann Hummel, Michael Figl, Wolfgang Birkfellner, Michael Häfner, Christian Kollmann, Helmar Bergmann:
Navigation system for flexible endoscopes. Medical Imaging: Image-Guided Procedures 2003
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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