Philipp Kainz

According to our database, Philipp Kainz authored at least 10 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Validation of AI-based Information Systems for Sensitive Use Cases: Using an XAI Approach in Pharmaceutical Engineering.

Anna Polzer, Jürgen Fleiß, Thomas Ebner, Philipp Kainz, Christoph Koeth, Stefan Thalmann

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Automated Data Adaptation for the Segmentation of Blood Vessels.

Andreas Haghofer, Thomas Ebner, Philipp Kainz, Michael Weißensteiner, Nassim Ghaffari-Tabrizi-Wizsy, Isra Hatab, Josef Scharinger, Stephan Winkler

Proceedings of the Biomedical Engineering Systems and Technologies, 2022

2017

Training echo state networks for rotation-invariant bone marrow cell classification.

Philipp Kainz, Harald Burgsteiner, Martin Asslaber, Helmut Ahammer

Neural Comput. Appl., 2017

Gland segmentation in colon histology images: The glas challenge contest.

Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot

Medical Image Anal., 2017

Multi-factorial Age Estimation from Skeletal and Dental MRI Volumes.

Darko Stern, Philipp Kainz, Christian Payer, Martin Urschler

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016

Collaborative analysis of multi-gigapixel imaging data using Cytomine.

Raphaël Marée, Loic Rollus, Benjamin Stevens, Renaud Hoyoux, Gilles Louppe, Remy Vandaele, Jean-Michel Begon, Philipp Kainz, Pierre Geurts, Louis Wehenkel

Bioinform., 2016

2015

Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation.

Philipp Kainz, Michael Pfeiffer, Martin Urschler

CoRR, 2015

You Should Use Regression to Detect Cells.

Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, Vincent Lepetit

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Robust Bone Marrow Cell Discrimination by Rotation-Invariant Training of Multi-class Echo State Networks.

Philipp Kainz, Harald Burgsteiner, Martin Asslaber, Helmut Ahammer

Proceedings of the Engineering Applications of Neural Networks, 2015

2013

Image Pyramids as a New Approach for the Determination of Fractal Dimensions.

Michael Mayrhofer-Reinhartshuber, Philipp Kainz, Helmut Ahammer

Proceedings of the ICPRAM 2013, 2013