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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 -
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 WorkshopA 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 DecathlonnnU-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 WorkshopA 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 -
Bachelor's Thesis
Heidelberg University 2013