Learning Distributions of Functions on a Continuous Time Domain

Jens Petersen

nnU-Net: A Self-configuring Method for Deep Learning-based Biomedical Image Segmentation

Fabian Isensee, Paul F. Jäger, Simon A. A. Kohl,
Jens Petersen, Klaus H. Maier-Hein

Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis

Gianluca Brugnara, Fabian Isensee, Ulf Neuberger, David Bonekamp, Jens Petersen, Ricarda Diem, Brigitte Wildemann, Sabine Heiland, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein, Philipp Kickingereder

Deep Probabilistic Modeling of Glioma Growth

Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein

Unsupervised Anomaly Localization using Variational Auto-Encoders

David Zimmerer, Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation

Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

Philipp Kickingereder, Fabian Isensee, Irada Tursunova, Jens Petersen, Ulf Neuberger, David Bonekamp, Gianluca Brugnara, Marianne Schell, Tobias Kessler, Martha Foltyn, Inga Harting, Felix Sahm, Marcel Prager, Martha Nowosielski, Antje Wick, Marco Nolden, Alexander Radbruch, Jürgen Debus, Heinz-Peter Schlemmer, Sabine Heiland, Michael Platten, Andreas von Deimling, Martin J. van den Bent, Thierry Gorlia, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein

A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients

David Zimmerer, Jens Petersen, Simon A. A. Kohl, and Klaus H. Maier-Hein

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Fabian Isensee, Jens Petersen, Andre Klein, David Zimmerer, Paul F. Jaeger, Simon A. A. Kohl, Jakob Wasserthal, Gregor Koehler, Tobias Norajitra, Sebastian Wirkert, Klaus H. Maier-Hein

Automated Containerized Medical Image Processing Based on MITK and Python

Caspar J. Goch, Jasmin Metzger, Martin Hettich, Andre Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, Marco Nolden

Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing

Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Marco Nolden, Caspar J. Goch, Klaus H. Maier-Hein

Effective user interaction in online interactive semantic segmentation of glioblastoma magnetic resonance imaging

Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein

Effective user interaction in online interactive semantic segmentation

Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein

Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI

Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Klaus H. Maier-Hein

A Software Application for Interactive Medical Image Segmentation with Active User Guidance

Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein

Virtual Raters for Reproducible and Objective Assessments in Radiology

Jens Kleesiek, Jens Petersen, Markus Döring, Klaus H. Maier-Hein, Ullrich Köthe, Wolfgang Wick, Fred A. Hamprecht, Martin Bendszus, Armin Biller

Path Length Distribution in Random Directed Acyclic Graphs

Jens Petersen

Performance Analysis of a Transceiver Chipset and Interference Control for a Wireless Detector Readout at 60GHz

Jens Petersen