Jens Petersen - RankMe

97 papers A* 1A 3Journal 55Unranked 33

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Collision Constraints and Diffeomorphisms: Dealing With Physics in Deformable Image Registration. IEEE Access Thomas Alscher, Jens Petersen, François Lauze, Kenny Erleben, Sune Darkner
2025	J	`jnl`	Comparative Analysis of GAN and Diffusion for MRI-to-CT translation. CoRR Emily Honey, Anders Helbo, Jens Petersen
2025	J	`jnl`	Controllable 3D Placement of Objects with Scene-Aware Diffusion Models. CoRR Mohamed Omran, Dimitris Kalatzis, Jens Petersen, Amirhossein Habibian, Auke J. Wiggers
2025	A	`conf`	Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect Analysis. WACV Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein
2025	J	`jnl`	Gaussian Splatting is an Effective Data Generator for 3D Object Detection. CoRR Farhad G. Zanjani, Davide Abati, Auke J. Wiggers, Dimitris Kalatzis, Jens Petersen, Hong Cai, Amirhossein Habibian
2025	—	`conf`	Generating Realistic Synthetic Motion Curves for MRI Retrospective Motion Correction. GRAIL/RIME@MICCAI Hristo Georgiev, Jakob Sheye, Madeleine K. Wyburd, Jens Petersen, Vincent Beliveau, Melanie Ganz
2025	J	`jnl`	HQColon: A Hybrid Interactive Machine Learning Pipeline for High Quality Colon Labeling and Segmentation. CoRR Martina Finocchiaro, Ronja Stern, Abraham George Smith, Jens Petersen, Kenny Erleben, Melanie Ganz
2025	J	`jnl`	Hybrid Gaussian Splatting for Novel Urban View Synthesis. CoRR Mohamed Omran, Farhad G. Zanjani, Davide Abati, Jens Petersen, Amirhossein Habibian
2025	—	`ed.`	Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Reykjavik, Iceland, June 23-25, 2025, Proceedings, Part I SCIA (1) Jens Petersen, Vedrana Andersen Dahl
2025	—	`ed.`	Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Reykjavik, Iceland, June 23-25, 2025, Proceedings, Part II SCIA (2) Jens Petersen, Vedrana Andersen Dahl
2025	J	`jnl`	Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans. CoRR Silas Nyboe Ørting, Kristina Miger, Anne Sophie Overgaard Olesen, Mikael Ploug Boesen, Michael Brun Andersen, Jens Petersen, Olav W. Nielsen, Marleen de Bruijne
2025	J	`jnl`	Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection. CoRR Jens Petersen, Davide Abati, Amirhossein Habibian, Auke J. Wiggers
2025	J	`jnl`	rNCA: Self-Repairing Segmentation Masks. CoRR Malte Silbernagel, Albert Alonso, Jens Petersen, Bulat Ibragimov, Marleen de Bruijne, Madeleine K. Wyburd
2024	A*	`conf`	Clockwork Diffusion: Efficient Generation With Model-Step Distillation. CVPR Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen
2024	J	`jnl`	Enhancing predictive imaging biomarker discovery through treatment effect analysis. CoRR Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein
2023	A	`conf`	A neural video codec with spatial rate-distortion control. WACV Noor Fathima Ghouse, Jens Petersen, Guillaume Sautière, Auke J. Wiggers, Reza Pourreza
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2023	J	`jnl`	CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. CoRR Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein
2023	J	`jnl`	Clockwork Diffusion: Efficient Generation With Model-Step Distillation. CoRR Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen
2023	J	`jnl`	Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis. CoRR Julian Schön, Raghavendra Selvan, Lotte Nygård, Ivan Richter Vogelius, Jens Petersen
2023	J	`jnl`	Localise to segment: crop to improve organ at risk segmentation accuracy. CoRR Abraham George Smith, Denis Kutnár, Ivan Richter Vogelius, Sune Darkner, Jens Petersen
2023	—	`conf`	MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. MICCAI (4) Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
2023	J	`jnl`	MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation. CoRR Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein
2023	J	`jnl`	Neural Image Compression with a Diffusion-Based Decoder. CoRR Noor Fathima Ghouse, Jens Petersen, Auke J. Wiggers, Tianlin Xu, Guillaume Sautière
2023	J	`jnl`	Prediction of post-radiotherapy recurrence volumes in head and neck squamous cell carcinoma using 3D U-Net segmentation. CoRR Denis Kutnár, Ivan Richter Vogelius, Katrin Elisabet Håkansson, Jens Petersen, Jeppe Friborg, Lena Specht, Mogens Bernsdorf, Anita Gothelf, Claus Kristensen, Abraham George Smith
2023	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
2023	J	`jnl`	Transformer Utilization in Medical Image Segmentation Networks. CoRR Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2022	J	`jnl`	Correction to: Robust hand tracking for surgical telestration. Int. J. Comput. Assist. Radiol. Surg. Lucas-Raphael Müller, Jens Petersen, Amine Yamlahi, Philipp Wise, Tim J. Adler, Alexander Seitel, Karl-Friedrich Kowalewski, Beat Müller, Hannes Kenngott, Felix Nickel, Lena Maier-Hein
2022	—	`conf`	Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods. DGM4MICCAI@MICCAI Julian Schön, Raghavendra Selvan, Jens Petersen
2022	J	`jnl`	Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods. CoRR Julian Schön, Raghavendra Selvan, Jens Petersen
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2022	J	`jnl`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
2022	J	`jnl`	Robust hand tracking for surgical telestration. Int. J. Comput. Assist. Radiol. Surg. Lucas-Raphael Müller, Jens Petersen, Amine Yamlahi, Philipp Wise, Tim J. Adler, Alexander Seitel, Karl-Friedrich Kowalewski, Beat Müller, Hannes Kenngott, Felix Nickel, Lena Maier-Hein
2022	—	`conf`	Unsupervised Anomaly Detection in the Wild. Bildverarbeitung für die Medizin David Zimmerer, Daniel Paech, Carsten T. Lüth, Jens Petersen, Gregor Köhler, Klaus H. Maier-Hein
2021	J	`jnl`	Common Limitations of Image Processing Metrics: A Picture Story. CoRR 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 E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. 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
2021	—	`conf`	Continuous-Time Deep Glioma Growth Models. MICCAI (3) 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
2021	J	`jnl`	Continuous-Time Deep Glioma Growth Models. CoRR 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
2021	J	`jnl`	GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data. CoRR Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
2021	A	`conf`	GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. UAI Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
2021	J	`jnl`	Patch-based medical image segmentation using Quantum Tensor Networks. CoRR Raghavendra Selvan, Erik B. Dam, Søren Alexander Flensborg, Jens Petersen
2021	J	`jnl`	RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy. CoRR Abraham George Smith, Jens Petersen, Cynthia Terrones-Campos, Anne Kiil Berthelsen, Nora Jarrett Forbes, Sune Darkner, Lena Specht, Ivan Richter Vogelius
2021	—	`conf`	Segmenting Two-Dimensional Structures with Strided Tensor Networks. IPMI Raghavendra Selvan, Erik B. Dam, Jens Petersen
2021	J	`jnl`	Segmenting two-dimensional structures with strided tensor networks. CoRR Raghavendra Selvan, Erik B. Dam, Jens Petersen
2020	—	`conf`	Abstract: Deep Probabilistic Modeling of Glioma Growth. Bildverarbeitung für die Medizin Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein
2020	—	`conf`	Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders. Bildverarbeitung für die Medizin David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein
2020	J	`jnl`	Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2020	—	`—`	Learning Distributions of Functions on a Continuous Time Domain Jens Petersen
2020	J	`jnl`	Learning to Quantify Emphysema Extent: What Labels Do We Need? IEEE J. Biomed. Health Informatics Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2020	—	`ed.`	Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings TIA@MICCAI Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah E. Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori
2019	J	`jnl`	A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. CoRR David Zimmerer, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein
2019	—	`conf`	A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
2019	J	`jnl`	A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
2019	—	`conf`	Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein
2019	—	`conf`	Deep Probabilistic Modeling of Glioma Growth. MICCAI (2) Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein
2019	J	`jnl`	Deep Probabilistic Modeling of Glioma Growth. CoRR Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein
2019	J	`jnl`	High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection. CoRR David Zimmerer, Jens Petersen, Klaus H. Maier-Hein
2019	J	`jnl`	Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne
2019	J	`jnl`	Segmentation of Roots in Soil with U-Net. CoRR Abraham George Smith, Jens Petersen, Raghavendra Selvan, Camilla Ruø Rasmussen
2019	—	`conf`	Unsupervised Anomaly Localization Using Variational Auto-Encoders. MICCAI (4) David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein
2019	J	`jnl`	Unsupervised Anomaly Localization using Variational Auto-Encoders. CoRR David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein
2019	J	`jnl`	nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. CoRR Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein
2018	—	`conf`	Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing. Bildverarbeitung für die Medizin Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Marco Nolden, Caspar J. Goch, Klaus Hermann Maier-Hein
2018	—	`conf`	Advanced Deep Learning Methods. Bildverarbeitung für die Medizin Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein
2018	—	`conf`	Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data. Bildverarbeitung für die Medizin Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, Marco Nolden
2018	J	`jnl`	Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. CoRR David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein
2018	—	`conf`	Detecting emphysema with multiple instance learning. ISBI Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2018	J	`jnl`	Extraction of Airways using Graph Neural Networks. CoRR Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	—	`conf`	Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. CVII-STENT/LABELS@MICCAI Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans. CoRR Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. CoRR Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	—	`ed.`	Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings RAMBO+BIA+TIA@MICCAI Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga
2018	J	`jnl`	Learning to quantify emphysema extent: What labels do we need? CoRR Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	—	`conf`	Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. MICCAI (2) Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	J	`jnl`	Mean Field Network based Graph Refinement with application to Airway Tree Extraction. CoRR Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	J	`jnl`	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein
2017	—	`conf`	Crowdsourced Emphysema Assessment. CVII-STENT/LABELS@MICCAI Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2017	—	`conf`	Effective user guidance in online interactive semantic segmentation. Computer-Aided Diagnosis Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein
2017	—	`conf`	Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. GRAIL/MFCA/MICGen@MICCAI Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2017	J	`jnl`	Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2017	—	`conf`	Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI. Bildverarbeitung für die Medizin Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Klaus H. Maier-Hein
2016	J	`jnl`	Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts. IEEE Trans. Medical Imaging Andrés M. Arias Lorza, Jens Petersen, Arna van Engelen, Mariana Selwaness, Aad van der Lugt, Wiro J. Niessen, Marleen de Bruijne
2016	J	`jnl`	Extraction of airway trees using multiple hypothesis tracking and template matching. CoRR Raghavendra Selvan, Jens Petersen, Jesper Johannes Holst Pedersen, Marleen de Bruijne
2015	J	`jnl`	Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. IEEE Trans. Medical Imaging Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura Hohwu Thomsen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
2014	J	`jnl`	Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. Medical Image Anal. Jens Petersen, Mads Nielsen, Pechin Lo, Lars Haug Nordenmark, Jesper Johannes Holst Pedersen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
2013	—	`conf`	Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts. MICCAI (2) Andrés M. Arias Lorza, Diego D. B. Carvalho, Jens Petersen, Anouk C. van Dijk, Aad van der Lugt, Wiro J. Niessen, Stefan Klein, Marleen de Bruijne
2013	—	`conf`	Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne
2013	J	`jnl`	Geometric tree kernels: Classification of COPD from airway tree geometry CoRR Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne
2013	—	`conf`	Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces. MICCAI (2) Jens Petersen, Marc Modat, Manuel Jorge Cardoso, Asger Dirksen, Sébastien Ourselin, Marleen de Bruijne
2013	—	`conf`	Scalable kernels for graphs with continuous attributes. NIPS Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt
2013	—	`conf`	Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI Aasa Feragen, Megan Owen, Jens Petersen, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen, Marleen de Bruijne
2012	—	`conf`	A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. MICCAI (3) Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura H. Thomsen, Mathilde M. W. Wille, Asger Dirksen, Marleen de Bruijne
2012	—	`conf`	Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts. MCV Andres Arias, Jens Petersen, Arna van Engelen, Hui Tang, Mariana Selwaness, Jacqueline C. M. Witteman, Aad van der Lugt, Wiro J. Niessen, Marleen de Bruijne
2011	—	`conf`	Dissimilarity-Based Classification of Anatomical Tree Structures. IPMI Lauge Sørensen, Pechin Lo, Asger Dirksen, Jens Petersen, Marleen de Bruijne
2011	—	`conf`	Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne
2010	—	`conf`	Quantitative analysis of airway abnormalities in CT. Computer-Aided Diagnosis Jens Petersen, Pechin Lo, Mads Nielsen, Goutham Edula, Haseem Ashraf, Asger Dirksen, Marleen de Bruijne