Philipp Seegerer

Orcid: 0000-0002-4707-7991

According to our database1, Philipp Seegerer authored at least 7 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Pruning by explaining: A novel criterion for deep neural network pruning.
Pattern Recognit., 2021

2020
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images.
AI and ML for Digital Pathology, 2020

2019
iNNvestigate Neural Networks!
J. Mach. Learn. Res., 2019

Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning.
CoRR, 2019

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.
CoRR, 2019

2014
Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals.
Medical Image Anal., 2014

Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014


  Loading...