• MIDL 2021
    Common limitations of performance metrics in biomedical image analysis
    Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles Kahn, Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, Anne Lousise Martel, Björn Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
  • UAI 2021
    GP-ConvCNP: Better Generalization for Conditional Convolutional Neural Processes on Time Series Data
    Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
  • MICCAI 2021
    Continuous-Time Deep Glioma Growth Models
    Jens Petersen, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein
  • PhD Thesis
    Heidelberg University 2020
    Learning Distributions of Functions on a Continuous Time Domain
    Jens Petersen
  • Nature Methods 2020
    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
  • European Radiology 2020
    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
  • MICCAI 2019
    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
  • MICCAI 2019
    Unsupervised Anomaly Localization using Variational Auto-Encoders
    David Zimmerer, Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein
  • arXiv 2019
    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
  • The Lancet Oncology 2019
    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
  • MIDL 2019
    Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
    David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein
  • NeurIPS 2018
    Med-NeurIPS Workshop
    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
  • MICCAI 2018
    Winner Medical Segmentation Decathlon
    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
  • BVM 2018
    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
  • BVM 2018
    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
  • Journal of Medical Imaging 2017
    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
  • SPIE Medical Imaging 2017
    Effective user interaction in online interactive semantic segmentation
    Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein
  • BVM 2017
    Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI
    Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Klaus H. Maier-Hein
  • MICCAI 2016
    IMIC Workshop
    A Software Application for Interactive Medical Image Segmentation with Active User Guidance
    Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein
  • Nature Scientific Reports 2016
    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
  • Master's Thesis
    Imperial College London 2014
    Path Length Distribution in Random Directed Acyclic Graphs
    Jens Petersen
  • Bachelor's Thesis
    Heidelberg University 2013
    Performance Analysis of a Transceiver Chipset and Interference Control for a Wireless Detector Readout at 60GHz
    Jens Petersen