Jan Peeken

According to our database, Jan Peeken authored at least 29 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography.

Murong Xu, Tamaz Amiranashvili, Fernando Navarro, Maksym Fritsak, Ibrahim Ethem Hamamci, Suprosanna Shit, Bastian Wittmann, Sezgin Er, Sebastian M. Christ, Ezequiel de la Rosa, Julian Deseoe, Robert Graf, Hendrik Kristian Möller, Anjany Sekuboyina, Jan C. Peeken, Anton S. Becker, Giulia Baldini, Johannes Haubold, Felix Nensa, René Hosch, Nikhil Mirajkar, Saad Khalid, Stefan Zachow, Marc-André Weber, Georg Langs, Jakob Wasserthal, Mehmet Kemal Özdemir, Andrey Fedorov, Ron Kikinis, Stephanie Tanadini-Lang, Jan S. Kirschke, Stephanie E. Combs, Bjoern H. Menze

CoRR, July, 2025

Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset.

Arianna Piffer, Josef A. Buchner, Gennari Antonio Giulio, Patrice Grehten, S. Sirin, E. Ross, Ivan Ezhov, Marcel Rosier, Jan Peeken, Marie Piraud, Bjoern H. Menze, A. Guerreiro Stücklin, András Jakab, Florian Kofler

CoRR, July, 2025

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis.

Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik Kristian Möller, Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf A. Heckemann, Spyridon Bakas, Jan Kirschke, Constantin von See, Ivan Ezhov, Marie Piraud, Benedikt Wiestler, Bjoern H. Menze

CoRR, July, 2025

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs.

Juraj Vladika, Annika Domres, Mai Nguyen, Rebecca Moser, Jana Nano, Felix Busch, Lisa C. Adams, Keno K. Bressem, Denise Bernhardt, Stephanie E. Combs, Kai J. Borm, Florian Matthes, Jan C. Peeken

CoRR, May, 2025

A framework to create, evaluate and select synthetic datasets for survival prediction in oncology.

A. T. Christoforou, Simon Spohn, T. Sprave, Tobias Fechter, A. Rühle, Nils H. Nicolay, Ilinca Popp, Anca L. Grosu, Jan Peeken, A. H. Thieme, Triantafyllos Stylianopoulos, I. Strouthos, K. Ferentinos, Yiannis Roussakis, Constantinos Zamboglou

Comput. Biol. Medicine, 2025

2024

Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge.

Stefan M. Fischer, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel

CoRR, 2024

Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma.

Nanna E. Hartong, Ilias Sachpazidis, Oliver Blanck, Lucas Etzel, Jan C. Peeken, Stephanie E. Combs, Horst Urbach, Maxim Zaitsev, Dimos Baltas, Ilinca Popp, Anca-Ligia Grosu, Tobias Fechter

CoRR, 2024

Imbalance-aware loss functions improve medical image classification.

Daniel Scholz, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification?

Johannes Kiechle, Daniel Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel

Proceedings of the Graphs in Biomedical Image Analysis - 6th International Workshop, 2024

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.

Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks.

Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Maxime Di Folco, Sarah C. Foreman, Verena K. N. Rösner, Ann-Kathrin Lohse, Carolin Mogler, Carolin Knebel, Marcus R. Makowski, Klaus Woertler, Stephanie E. Combs, Alexandra S. Gersing, Jan C. Peeken, Julia A. Schnabel

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients.

Sebastian Starke, Alex Zwanenburg, Karoline Leger, Fabian Lohaus, Annett Linge, Andreas Schreiber, Goda Kalinauskaite, Inge Tinhofer, Nika Guberina, Maja Guberina, Panagiotis Balermpas, Jens von der Grün, Ute Ganswindt, Claus Belka, Jan C. Peeken, Stephanie E. Combs, Simon Böke, Daniel Zips, Christian Richter, Esther Gera Cornelia Troost, Mechthild Krause, Michael Baumann, Steffen Löck

Dataset, August, 2023

Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data.

Phawis Thammasorn, Wanpracha Art Chaovalitwongse, Daniel S. Hippe, Landon Wootton, Eric Ford, Matthew Spraker, Stephanie E. Combs, Jan C. Peeken, Matthew Nyflot

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Explainable 2D Vision Models for 3D Medical Data.

Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

CoRR, 2023

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.

Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation.

Florian Kofler, Suprosanna Shit, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Rami Al-Maskari, Hongwei Bran Li, Harsharan Bhatia, Timo Loehr, Marie Piraud, Ali Ertürk, Jan Kirschke, Jan C. Peeken, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze

Proceedings of the Information Processing in Medical Imaging, 2023

2022

A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning.

Fernando Navarro, Guido Sasahara, Suprosanna Shit, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

CoRR, 2022

Regularizing the Deepsurv Network Using Projection Loss for Medical Risk Assessment.

Phawis Thammasorn, Stephanie K. Schaub, Daniel S. Hippe, Matthew Spraker, Jan C. Peeken, Landon Wootton, Paul E. Kinahan, Stephanie E. Combs, Wanpracha Art Chaovalitwongse, Matthew Nyflot

IEEE Access, 2022

Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.

Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning.

Fernando Navarro, Guido Sasahara, Suprosanna Shit, Anjany Sekuboyina, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Evaluating the Robustness of Self-Supervised Learning in Medical Imaging.

Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

CoRR, 2021

Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer?

Iram Shahzadi, Annika Lattermann, Annett Linge, Alex Zwanenburg, Christian Baldus, Jan C. Peeken, Stephanie E. Combs, Michael Baumann, Mechthild Krause, Esther G. C. Troost, Steffen Löck

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients.

Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images.

Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma.

Sebastian Starke, Stefan Leger, Alex Zwanenburg, Karoline Leger, Fabian Lohaus, Annett Linge, Andreas Schreiber, Goda Kalinauskaite, Inge Tinhofer, Nika Guberina, Maja Guberina, Panagiotis Balermpas, Jens von der Grün, Ute Ganswindt, Claus Belka, Jan C. Peeken, Stephanie E. Combs, Simon Böke, Daniel Zips, Christian Richter, Esther Gera Cornelia Troost, Mechthild Krause, Michael Baumann, Steffen Löck

Dataset, February, 2020

Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients.

Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch

CoRR, 2020

Deep Reinforcement Learning for Organ Localization in CT.

Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019

Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification.

Phawis Thammasorn, Daniel S. Hippe, Wanpracha Art Chaovalitwongse, Matthew Spraker, Landon Wootton, Matthew Nyflot, Stephanie Combs, Jan Peeken, Eric Ford

CoRR, 2019

Shape-Aware Complementary-Task Learning for Multi-organ Segmentation.

Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019