Journal Articles

1. [Ribeiro18a   ] Iris Super-Resolution using CNNs: is Photo-Realism Important to Iris Recognition? Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez IET Biometrics 1:8, pp. 69-78, 2018
2. [Ribeiro16c  ] Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner Computational and Mathematical Methods in Medicine 2016, pp. Article ID 6584725, Hindawi Publishing Corporation, 2016

Conference Papers

1. [Ribeiro16d  ] Exploring Texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks Eduardo Ribeiro, Michael Häfner, Georg Wimmer, Toro Tamaki, J.J.W. Tischendorf, S. Yoshida, S. Tanaka, Andreas Uhl In 14th International IEEE Symposium on Biomedical Imaging (ISBI'17)April 2017
2. [Ribeiro17a  ] Exploring Deep Learning Image Super-Resolution for Iris Recognition Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez, Reuben A. Farrugia In Proc. of the 25th European Signal Processing Conference (EUSIPCO 2017), Kos Island, Greece, August 28 - September 2, 20172017
3. [Ribeiro17b  ] Exploring Texture Transfer Learning via Convolutional Neural Networks for Iris Super Resolution Eduardo Ribeiro, Andreas Uhl In Arslan Brömme, Christoph Busch, Christian Rathgeb, Andreas Uhl, editors, Proceedings of the 2017 International Conference of the Biometrics Special Interest Group (BIOSIG'17), Darmstadt, Germany 2017, LNI, GI / IEEE, 2017
4. [Ribeiro16a  ] Colonic Polyp Classification with Convolutional Neural Networks Eduardo Ribeiro, Andreas Uhl, Michael Häfner In Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems (CBMS'16), pp. 253-258, June 2016
5. [Ribeiro16b ] Transfer Learning for Colonic Polyp Classification using Off-the-Shelf CNN Features (Best Paper Award, 3rd Place) Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner In Proceedings of the 3rd International Workshop on Computer-Assisted and Robotic Endoscopy (CARE'16), pp. 1-13, Springer LNCS, 10170, 2016