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Pattern Analysis and Applications : PAA
|
April 2, 2016
A systematic evaluation of the scale invariance of texture recognition methods
Andreas Uhl, Georg Wimmer
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
October 19, 2020
Improving CNN training on endoscopic image data by extracting additionally training data from endoscopic videos
Georg Wimmer, Michael Häfner, Andreas Uhl
Journal of Medical Imaging (Bellingham, Wash.)
|
March 7, 2019
Fisher encoding of convolutional neural network features for endoscopic image classification
Georg Wimmer, Andreas Vécsei, Michael Häfner, et al.
Computational and Mathematical Methods in Medicine
|
November 17, 2016
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification
Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, et al.
Medical Image Analysis
|
March 14, 2013
Scale invariant texture descriptors for classifying celiac disease
Sebastian Hegenbart, Andreas Uhl, Andreas Vécsei, et al.
Holz Als Roh- Und Werkstoff = European Journal of Wood and Wood Products
|
April 18, 2023
Robustness of texture-based roundwood tracking
Georg Wimmer, Rudolf Schraml, Heinz Hofbauer, et al.
Medical Image Analysis
|
September 20, 2015
Local fractal dimension based approaches for colonic polyp classification
Michael Häfner, Toru Tamaki, Shinji Tanaka, et al.
Medical Image Analysis
|
March 8, 2016
Directional wavelet based features for colonic polyp classification
Georg Wimmer, Toru Tamaki, J J W Tischendorf, et al.
Computers in Biology and Medicine
|
May 19, 2018
Training of polyp staging systems using mixed imaging modalities
Georg Wimmer, Michael Gadermayr, Roland Kwitt, et al.
World Journal of Gastroenterology
|
March 20, 2019
Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging
Georg Wimmer, Michael Gadermayr, Gernot Wolkersdörfer, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Pattern Analysis and Applications : PAA
|
April 2, 2016
A systematic evaluation of the scale invariance of texture recognition methods
Andreas Uhl, Georg Wimmer
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
October 19, 2020
Improving CNN training on endoscopic image data by extracting additionally training data from endoscopic videos
Georg Wimmer, Michael Häfner, Andreas Uhl
Journal of Medical Imaging (Bellingham, Wash.)
|
March 7, 2019
Fisher encoding of convolutional neural network features for endoscopic image classification
Georg Wimmer, Andreas Vécsei, Michael Häfner, et al.
Computational and Mathematical Methods in Medicine
|
November 17, 2016
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification
Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, et al.
Medical Image Analysis
|
March 14, 2013
Scale invariant texture descriptors for classifying celiac disease
Sebastian Hegenbart, Andreas Uhl, Andreas Vécsei, et al.
Holz Als Roh- Und Werkstoff = European Journal of Wood and Wood Products
|
April 18, 2023
Robustness of texture-based roundwood tracking
Georg Wimmer, Rudolf Schraml, Heinz Hofbauer, et al.
Medical Image Analysis
|
September 20, 2015
Local fractal dimension based approaches for colonic polyp classification
Michael Häfner, Toru Tamaki, Shinji Tanaka, et al.
Medical Image Analysis
|
March 8, 2016
Directional wavelet based features for colonic polyp classification
Georg Wimmer, Toru Tamaki, J J W Tischendorf, et al.
Computers in Biology and Medicine
|
May 19, 2018
Training of polyp staging systems using mixed imaging modalities
Georg Wimmer, Michael Gadermayr, Roland Kwitt, et al.
World Journal of Gastroenterology
|
March 20, 2019
Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging
Georg Wimmer, Michael Gadermayr, Gernot Wolkersdörfer, et al.
Page
of 1