Felix Grün

Orcid: 0000-0002-7334-8521

According to our database1, Felix Grün authored at least 12 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Reading Between the Lines: A Comprehensive Survey of Lane Detection Datasets for Autonomous Driving.
IEEE Access, 2026

2025
Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces.
CoRR, February, 2025

Invariance to Quantile Selection in Distributional Continuous Control.
Proceedings of the Machine Learning, Optimization, and Data Science, 2025

Performance Boundaries for Brain-Computer Interfaces Using Error-Related Potentials and Reinforcement Learning.
Proceedings of the Machine Learning, Optimization, and Data Science, 2025

2024
Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

2022
Systematization of Relevant Road Users for the Evaluation of Autonomous Vehicle Perception.
Proceedings of the IEEE International Systems Conference, 2022

2019
The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

2017
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks.
CoRR, 2017

SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks.
CoRR, 2016


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