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Jens Petersen
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2020 – today
- 2024
- [c35]Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen:
Clockwork Diffusion: Efficient Generation With Model-Step Distillation. CVPR 2024: 8352-8361 - [i36]Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein:
Enhancing predictive imaging biomarker discovery through treatment effect analysis. CoRR abs/2406.02534 (2024) - 2023
- [j10]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c34]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
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c33]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. MICCAI (4) 2023: 405-415 - [c32]Noor Fathima Ghouse, Jens Petersen, Guillaume Sautière, Auke J. Wiggers, Reza Pourreza:
A neural video codec with spatial rate-distortion control. WACV 2023: 5354-5363 - [i35]Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein:
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. CoRR abs/2301.02126 (2023) - [i34]Julian Schön
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis. CoRR abs/2301.05465 (2023) - [i33]Noor Fathima Ghouse, Jens Petersen, Auke J. Wiggers, Tianlin Xu, Guillaume Sautière:
Neural Image Compression with a Diffusion-Based Decoder. CoRR abs/2301.05489 (2023) - [i32]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i31]Saikat Roy
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation. CoRR abs/2303.09975 (2023) - [i30]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Transformer Utilization in Medical Image Segmentation Networks. CoRR abs/2304.04225 (2023) - [i29]Abraham George Smith, Denis Kutnár, Ivan Richter Vogelius, Sune Darkner, Jens Petersen:
Localise to segment: crop to improve organ at risk segmentation accuracy. CoRR abs/2304.04606 (2023) - [i28]Denis Kutnár, Ivan Richter Vogelius, Katrin Elisabet Håkansson, Jens Petersen, Jeppe Friborg
Prediction of post-radiotherapy recurrence volumes in head and neck squamous cell carcinoma using 3D U-Net segmentation. CoRR abs/2308.08396 (2023) - [i27]Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen:
Clockwork Diffusion: Efficient Generation With Model-Step Distillation. CoRR abs/2312.08128 (2023) - 2022
- [j9]Lucas-Raphael Müller
Robust hand tracking for surgical telestration. Int. J. Comput. Assist. Radiol. Surg. 17(8): 1477-1486 (2022) - [j8]Lucas-Raphael Müller
Correction to: Robust hand tracking for surgical telestration. Int. J. Comput. Assist. Radiol. Surg. 17(8): 1487 (2022) - [j7]David Zimmerer
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c31]David Zimmerer, Daniel Paech
Unsupervised Anomaly Detection in the Wild. Bildverarbeitung für die Medizin 2022: 26-31 - [c30]Julian Schön
Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods. DGM4MICCAI@MICCAI 2022: 24-33 - [i26]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
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i25]Julian Schön, Raghavendra Selvan, Jens Petersen:
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods. CoRR abs/2207.09740 (2022) - 2021
- [c29]Raghavendra Selvan
Segmenting Two-Dimensional Structures with Strided Tensor Networks. IPMI 2021: 401-414 - [c28]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:
Continuous-Time Deep Glioma Growth Models. MICCAI (3) 2021: 83-92 - [c27]Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. UAI 2021: 939-949 - [i24]Raghavendra Selvan, Erik B. Dam, Jens Petersen:
Segmenting two-dimensional structures with strided tensor networks. CoRR abs/2102.06900 (2021) - [i23]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
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i22]Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data. CoRR abs/2106.04967 (2021) - [i21]Abraham George Smith, Jens Petersen, Cynthia Terrones-Campos, Anne Kiil Berthelsen, Nora Jarrett Forbes, Sune Darkner, Lena Specht, Ivan Richter Vogelius:
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy. CoRR abs/2106.11942 (2021) - [i20]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:
Continuous-Time Deep Glioma Growth Models. CoRR abs/2106.12917 (2021) - [i19]Raghavendra Selvan
Patch-based medical image segmentation using Quantum Tensor Networks. CoRR abs/2109.07138 (2021) - 2020
- [b1]Jens Petersen:
Learning Distributions of Functions on a Continuous Time Domain. Heidelberg University, Germany, 2020 - [j6]Raghavendra Selvan
Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. 64: 101751 (2020) - [j5]Silas Nyboe Ørting
Learning to Quantify Emphysema Extent: What Labels Do We Need? IEEE J. Biomed. Health Informatics 24(4): 1149-1159 (2020) - [c26]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders. Bildverarbeitung für die Medizin 2020: 199 - [c25]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
Abstract: Deep Probabilistic Modeling of Glioma Growth. Bildverarbeitung für die Medizin 2020: 215 - [e2]Jens Petersen, Raúl San José Estépar
Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12502, Springer 2020, ISBN 978-3-030-62468-2 [contents]
2010 – 2019
- 2019
- [j4]Jens Petersen
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging 38(7): 1559-1568 (2019) - [c24]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:
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin 2019: 22 - [c23]Wouter M. Kouw
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI 2019: 360-371 - [c22]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Unsupervised Anomaly Localization Using Variational Auto-Encoders. MICCAI (4) 2019: 289-297 - [c21]Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder
Deep Probabilistic Modeling of Glioma Growth. MICCAI (2) 2019: 806-814 - [i18]Abraham George Smith, Jens Petersen, Raghavendra Selvan, Camilla Ruø Rasmussen:
Segmentation of Roots in Soil with U-Net. CoRR abs/1902.11050 (2019) - [i17]Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne:
A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR abs/1903.04191 (2019) - [i16]Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein:
nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. CoRR abs/1904.08128 (2019) - [i15]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Unsupervised Anomaly Localization using Variational Auto-Encoders. CoRR abs/1907.02796 (2019) - [i14]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:
Deep Probabilistic Modeling of Glioma Growth. CoRR abs/1907.04064 (2019) - [i13]David Zimmerer, Jens Petersen, Klaus H. Maier-Hein:
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection. CoRR abs/1911.12161 (2019) - [i12]David Zimmerer, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein:
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. CoRR abs/1912.00003 (2019) - 2018
- [c20]Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein:
Advanced Deep Learning Methods. Bildverarbeitung für die Medizin 2018: 6 - [c19]Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Marco Nolden, Caspar J. Goch, Klaus Hermann Maier-Hein:
Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing. Bildverarbeitung für die Medizin 2018: 22 - [c18]Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz
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 2018: 315 - [c17]Silas Nyboe Ørting
Detecting emphysema with multiple instance learning. ISBI 2018: 510-513 - [c16]Silas Nyboe Ørting
Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. CVII-STENT/LABELS@MICCAI 2018: 140-149 - [c15]Raghavendra Selvan
Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. MICCAI (2) 2018: 750-758 - [e1]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:
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. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - [i11]Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Mean Field Network based Graph Refinement with application to Airway Tree Extraction. CoRR abs/1804.03348 (2018) - [i10]Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Extraction of Airways using Graph Neural Networks. CoRR abs/1804.04436 (2018) - [i9]Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans. CoRR abs/1806.07131 (2018) - [i8]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR abs/1806.08981 (2018) - [i7]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:
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR abs/1809.10486 (2018) - [i6]Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Learning to quantify emphysema extent: What labels do we need? CoRR abs/1810.07433 (2018) - [i5]Raghavendra Selvan
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. CoRR abs/1811.08674 (2018) - [i4]David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. CoRR abs/1812.05941 (2018) - 2017
- [c14]Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Klaus H. Maier-Hein:
Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI. Bildverarbeitung für die Medizin 2017: 231-236 - [c13]Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein:
Effective user guidance in online interactive semantic segmentation. Computer-Aided Diagnosis 2017: 101341V - [c12]Raghavendra Selvan
Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. GRAIL/MFCA/MICGen@MICCAI 2017: 53-63 - [c11]Silas Nyboe Ørting
Crowdsourced Emphysema Assessment. CVII-STENT/LABELS@MICCAI 2017: 126-135 - [i3]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR abs/1708.02096 (2017) - 2016
- [j3]Andrés M. Arias Lorza, Jens Petersen
Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts. IEEE Trans. Medical Imaging 35(3): 901-911 (2016) - [i2]Raghavendra Selvan, Jens Petersen, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Extraction of airway trees using multiple hypothesis tracking and template matching. CoRR abs/1611.08131 (2016) - 2015
- [j2]Aasa Feragen
Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. IEEE Trans. Medical Imaging 34(6): 1212-1226 (2015) - 2014
- [j1]Jens Petersen
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. Medical Image Anal. 18(3): 531-541 (2014) - 2013
- [c10]Aasa Feragen
Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI 2013: 74-85 - [c9]Aasa Feragen
Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI 2013: 171-183 - [c8]Jens Petersen
Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces. MICCAI (2) 2013: 287-294 - [c7]Andrés M. Arias Lorza, Diego D. B. Carvalho, Jens Petersen
Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts. MICCAI (2) 2013: 542-549 - [c6]Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt:
Scalable kernels for graphs with continuous attributes. NIPS 2013: 216-224 - [i1]Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne:
Geometric tree kernels: Classification of COPD from airway tree geometry. CoRR abs/1303.7390 (2013) - 2012
- [c5]Andres Arias, Jens Petersen
Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts. MCV 2012: 38-47 - [c4]Aasa Feragen
A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. MICCAI (3) 2012: 147-155 - 2011
- [c3]Jens Petersen
Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI 2011: 49-60 - [c2]Lauge Sørensen
Dissimilarity-Based Classification of Anatomical Tree Structures. IPMI 2011: 475-485 - 2010
- [c1]Jens Petersen
Quantitative analysis of airway abnormalities in CT. Computer-Aided Diagnosis 2010: 76241S
Coauthor Index
Simon Kohl
aka: Simon A. A. Kohl
aka: Simon A. A. Kohl
Klaus H. Maier-Hein
aka: Klaus Hermann Maier-Hein
aka: Klaus Hermann Maier-Hein
Jesper Johannes Holst Pedersen
aka: Jesper Holst Pedersen
aka: Jesper Holst Pedersen
Mathilde M. W. Wille
aka: Mathilde Marie Winkler Wille
aka: Mathilde Marie Winkler Wille
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