Gregor Urban

According to our database, Gregor Urban authored at least 9 papers between 2015 and 2022.

Collaborative distances:

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

2022

Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks.

Siwei Chen, Gregor Urban, Pierre Baldi

J. Imaging, 2022

SSpro/ACCpro 6: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, deep learning and structural similarity.

Gregor Urban, Christophe N. Magnan, Pierre Baldi

Bioinform., 2022

2019

Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.

Gregor Urban, Kevin Bache, Duc T. T. Phan, Agua Sobrino, Alexander Shmakov, Stephanie J. Hachey, Christopher C. W. Hughes, Pierre Baldi

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

2018

Inner and Outer Recursive Neural Networks for Chemoinformatics Applications.

Gregor Urban, Niranjan Subrahmanya, Pierre Baldi

J. Chem. Inf. Model., 2018

2017

Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.

Jens Kleesiek, Gregor Urban, Alexander Hubert, Daniel Schwarz, Klaus H. Maier-Hein, Martin Bendszus, Armin Biller

NeuroImage, 2016

Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)?

Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson

CoRR, 2016

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix.

Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Compressing LSTMs into CNNs.

Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Özlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton

CoRR, 2015