papers
Publications (11)
cs.CV2019
No New-Net
Fabian Isensee, Philipp Kickingereder, Wolfgang Wick +2
cs.LG2019
Unsupervised Anomaly Localization using Variational Auto-Encoders
David Zimmerer, Fabian Isensee, Jens Petersen +2
cs.CV2018
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features
Fabian Isensee, Paul Jaeger, Peter M. Full +3
cs.CV2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +421
cs.LG2018
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
David Zimmerer, Simon A. A. Kohl, Jens Petersen +2
cs.CV2017
Clickstream analysis for crowd-based object segmentation with confidence
Eric Heim, Alexander Seitel, Jonas Andrulis +4
cs.CV2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Tobias Ross, David Zimmerer, Anant Vemuri +12
cs.CV2017
Direct White Matter Bundle Segmentation using Stacked U-Nets
Jakob Wasserthal, Peter F. Neher, Fabian Isensee +1
cs.CV2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Fabian Isensee, Jens Petersen, Andre Klein +8
eess.IV2019
Deep Probabilistic Modeling of Glioma Growth
Jens Petersen, Paul F. Jäger, Fabian Isensee +8
cs.CV2018
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
Fabian Isensee, Philipp Kickingereder, Wolfgang Wick +2