Invariance to Quantile Selection in Distributional Continuous Control

no code implementations • 29 Dec 2022 • Felix Grün, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis

In recent years distributional reinforcement learning has produced many state of the art results.

Continuous Control Distributional Reinforcement Learning

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

4 code implementations • 20 Feb 2017 • Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A. Elshaera, Jana Lipkova, Sebastian Schlecht, Freba Ahmaddy, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Felix Hofmann, Melvin D Anastasi, Seyed-Ahmad Ahmadi, Georgios Kaissis, Julian Holch, Wieland Sommer, Rickmer Braren, Volker Heinemann, Bjoern Menze

In the first step, we train a FCN to segment the liver as ROI input for a second FCN.

Automatic Liver And Tumor Segmentation Lesion Segmentation +2

SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks

1 code implementation • 20 Feb 2017 • Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern Menze

A 3D neural network (SurvivalNet) then predicts the HCC lesions' malignancy from the HCC tumor segmentation.

Classification General Classification +2

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks

no code implementations • 24 Jun 2016 • Felix Grün, Christian Rupprecht, Nassir Navab, Federico Tombari

Over the last decade, Convolutional Neural Networks (CNN) saw a tremendous surge in performance.