default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJan Egger
Person information
- affiliation: University Hospital Essen, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j37]Frederic Jonske
, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek:
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. Comput. Methods Programs Biomed. 261: 108634 (2025)- [j36]Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk, Zhen Wang, Jan Egger, Michelle Wang, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Chayakrit Krittanawong:
Benefits, limits, and risks of ChatGPT in medicine. Frontiers Artif. Intell. 8 (2025) - [e6]Christian Wachinger, Beatriz Paniagua, Shireen Y. Elhabian, Gijs Luijten, Jan Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15275, Springer 2025, ISBN 978-3-031-75290-2 [contents] - 2024
- [j35]Hanna Hoffmann, Isabel Funke, Philipp Peters, Danush Kumar Venkatesh, Jan Egger, Dominik Rivoir, Rainer Röhrig, Frank Hölzle, Sebastian Bodenstedt, Marie-Christin Willemer, Stefanie Speidel, Behrus Puladi:
AIxSuture: vision-based assessment of open suturing skills. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1045-1052 (2024) - [j34]Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek:
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. Comput. Methods Programs Biomed. 243: 107912 (2024) - [j33]Jianning Li, Amin Dada, Behrus Puladi, Jens Kleesiek, Jan Egger:
ChatGPT in healthcare: A taxonomy and systematic review. Comput. Methods Programs Biomed. 245: 108013 (2024) - [j32]Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi:
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. Comput. Methods Programs Biomed. 252: 108215 (2024) - [j31]Lennart Johannes Gruber, Jan Egger, Andrea Bönsch, Joep Kraeima, Max Ulbrich, Vincent van den Bosch, Ila Motmaen, Caroline Wilpert, Mark Ooms, Peter Isfort, Frank Hölzle, Behrus Puladi:
Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence. Expert Syst. Appl. 239: 122275 (2024) - [j30]Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. J. Medical Syst. 48(1): 55 (2024) - [j29]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy. Medical Image Anal. 93: 103100 (2024) - [j28]Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek:
CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Anal. 94: 103143 (2024) - [j27]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. Medical Image Anal. 95: 103199 (2024) - [j26]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]. Medical Image Anal. 96: 103174 (2024) - [j25]Yao Li, Sergey Drobinsky, Paulina Becker, Kunpeng Xie, Myriam Lipprandt, Christian Andreas Mueller, Jan Egger, Frank Hölzle, Rainer Röhrig, Klaus Radermacher, Matías de la Fuente, Behrus Puladi:
Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial. npj Digit. Medicine 7(1) (2024) - [j24]Zdravko Marinov, Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen:
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10998-11018 (2024) - [c71]Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen:
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. 3DV 2024: 750-760 - [c70]Fabian Hörst, Sajad H. Schaheer, Giulia Baldini, Fin Hendrik Bahnsen, Jan Egger, Jens Kleesiek:
Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline. Bildverarbeitung für die Medizin 2024: 356-361 - [c69]Markus Perz, Gijs Luijten, Jens Kleesiek, Dieter Schmalstieg, Jan Egger, Christina Gsaxner:
MultiAR: A Multi-User Augmented Reality Platform for Biomedical Education. EMBC 2024: 1-7 - [c68]Lukas Heine, Fabian Hörst, Enrico Nasca, Jens Siveke, Jan Egger, Moon S. Kim, Fin Hendrik Bahnsen, Jens Kleesiek:
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting. HICSS 2024: 3235-3244 - [c67]André Ferreira, Gijs Luijten, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger:
Generalisation of Segmentation Using Generative Adversarial Networks. ISBI 2024: 1-4 - [c66]Timo Van Meegdenburg, Gijs Luijten, Jens Kleesiek, Behrus Puladi, André Ferreira, Jan Egger, Christina Gsaxner:
A Baseline Solution for the ISBI 2024 Dreaming Challenge. ISBI 2024: 1-3 - [c65]Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner:
Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery. ISBI 2024: 1-5 - [c64]Nikoo Moradi, André Ferreira, Behrus Puladi, Jens Kleesiek, Emad Fatemizadeh, Gijs Luijten, Victor Alves, Jan Egger:
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-Guided Radiotherapy. HNTS-MRG@MICCAI 2024: 136-153 - [e5]Antonio Pepe, Gian Marco Melito, Jan Egger:
Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition - First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14539, Springer 2024, ISBN 978-3-031-53240-5 [contents] - [d6]Christina Gsaxner, Timo Van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger:
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. Version v1.0. Zenodo, 2024 [all versions]
- [d5]Christina Gsaxner, Timo Van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger:
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. Version 2. Zenodo, 2024 [all versions] - [d4]Christina Gsaxner, Timo Van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger:
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. Version 3. Zenodo, 2024 [all versions] - [d3]Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi:
CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. Zenodo, 2024 - [i88]Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi:
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. CoRR abs/2401.15638 (2024) - [i87]Ana Carolina Alves, André Ferreira, Gijs Luijten, Jens Kleesiek, Behrus Puladi, Jan Egger, Victor Alves:
Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review. CoRR abs/2402.04301 (2024) - [i86]André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger:
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation. CoRR abs/2402.17317 (2024) - [i85]Malik Sallam, Jan Egger, Rainer Röhrig, Behrus Puladi:
Navigating the Peril of Generated Alternative Facts: A ChatGPT-4 Fabricated Omega Variant Case as a Cautionary Tale in Medical Misinformation. CoRR abs/2403.09674 (2024) - [i84]Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger:
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling. CoRR abs/2403.11790 (2024) - [i83]Michael Lackner, Behrus Puladi, Jens Kleesiek, Jan Egger, Jianning Li:
A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction. CoRR abs/2404.15287 (2024) - [i82]Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner:
Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery. CoRR abs/2405.03314 (2024) - [i81]Ana Carolina Alves, André Ferreira, Behrus Puladi, Jan Egger, Victor Alves:
Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI. CoRR abs/2407.01318 (2024) - [i80]Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marc Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek:
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information. CoRR abs/2407.06165 (2024) - [i79]Yuan Jin, Gege Ma, Geng Chen, Tianling Lyu, Jan Egger, Junhui Lyu, Shaoting Zhang, Wentao Zhu:
CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images. CoRR abs/2407.13092 (2024) - [i78]Lukas Heine, Fabian Hörst, Jana Fragemann, Gijs Luijten, Miriam Balzer, Jan Egger, Fin Hendrik Bahnsen, M. Saquib Sarfraz, Jens Kleesiek, Constantin Seibold:
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data. CoRR abs/2409.16793 (2024) - [i77]André Ferreira, Gijs Luijten, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger:
Brain Tumour Removing and Missing Modality Generation using 3D WDM. CoRR abs/2411.04630 (2024) - [i76]André Ferreira, Tiago Jesus, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger:
Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation. CoRR abs/2411.04632 (2024) - [i75]Nikoo Moradi, André Ferreira, Behrus Puladi, Jens Kleesiek, Emad Fatemizadeh, Gijs Luijten, Victor Alves, Jan Egger:
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy. CoRR abs/2411.14752 (2024) - [i74]Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang:
Efficient MedSAMs: Segment Anything in Medical Images on Laptop. CoRR abs/2412.16085 (2024) - 2023
- [j23]Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek:
"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. BMC Medical Imaging 23(1): 174 (2023) - [j22]Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Dieter Schmalstieg, Gabriel Mistelbauer, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. Comput. Biol. Medicine 165: 107365 (2023) - [j21]Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek:
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. Comput. Medical Imaging Graph. 107: 102238 (2023) - [j20]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in medicine: A systematic review and taxonomy. Medical Image Anal. 85: 102757 (2023) - [j19]Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023) - [j18]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-source skull reconstruction with MONAI. SoftwareX 23: 101432 (2023) - [c63]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c62]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) 2023: 13801-13813 - [c61]Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger:
Multicenter aortic vessel tree extraction using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c60]Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger:
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. ShapeMI@MICCAI 2023: 1-14 - [c59]André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger:
Enhanced Data Augmentation Using Synthetic Data for Brain Tumour Segmentation. BraTS/CrossMoDA@MICCAI 2023: 79-93 - [c58]Gian Marco Melito, Antonio Pepe, Alireza Jafarinia, Thomas Krispel, Jan Egger:
Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis. SEG.A@MICCAI 2023: 110-126 - [c57]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. TAG-ML 2023: 37-49 - [e4]Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13823, Springer 2023, ISBN 978-3-031-25045-3 [contents] - [e3]Christian Wachinger, Beatriz Paniagua, Shireen Y. Elhabian, Jianning Li, Jan Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14350, Springer 2023, ISBN 978-3-031-46913-8 [contents] - [d2]Gijs Luijten, Christina Gsaxner, Jianning Li, Antonio Pepe, Narmada Ambigapathy, Moon Kim, Xiaojun Chen, Jens Kleesiek, Frank Hölzle, Behrus Puladi, Jan Egger:
3D-COSI ~ 3D Collection of Surgical Instruments. Version 1.0. Zenodo, 2023 [all versions] - [d1]Gijs Luijten, Christina Gsaxner, Jianning Li, Antonio Pepe, Narmada Ambigapathy, Moon Kim, Xiaojun Chen, Jens Kleesiek, Frank Hölzle, Behrus Puladi, Jan Egger:
3D-COSI ~ 3D Collection of Surgical Instruments. Version V1.1. Zenodo, 2023 [all versions] - [i73]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i72]Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek:
CellViT: Vision Transformers for Precise Cell Segmentation and Classification. CoRR abs/2306.15350 (2023) - [i71]Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek:
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR abs/2306.17555 (2023) - [i70]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. CoRR abs/2307.02337 (2023) - [i69]Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi:
Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. CoRR abs/2308.04313 (2023) - [i68]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. CoRR abs/2308.04663 (2023) - [i67]Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger:
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. CoRR abs/2309.04956 (2023) - [i66]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023) - [i65]Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen:
Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine. CoRR abs/2311.03986 (2023) - [i64]Zdravko Marinov, Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen:
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. CoRR abs/2311.13964 (2023) - [i63]Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen:
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. CoRR abs/2312.00532 (2023) - 2022
- [j17]Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek:
Medical deep learning - A systematic meta-review. Comput. Methods Programs Biomed. 221: 106874 (2022) - [j16]Jan Egger, Daniel Wild, Maximilian Weber, Christopher A. Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin, Christina Gsaxner, Jianning Li, Antonio Pepe:
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. J. Digit. Imaging 35(2): 340-355 (2022) - [c56]Harsh Sulakhe, Jianning Li, Jan Egger, Poonam Goyal:
CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design. EMBC 2022: 603-608 - [c55]Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua:
Enhancement of aortic dissections in CT angiography: are common filters robust enough? Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c54]Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI 2022: 3-11 - [c53]Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger:
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI 2022: 70-92 - [i62]Sascha Ranftl, Malte Rolf-Pissarczyk, Gloria Wolkerstorfer, Antonio Pepe, Jan Egger, Wolfgang von der Linden, Gerhard A. Holzapfel:
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate. CoRR abs/2202.10244 (2022) - [i61]Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek:
Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare. CoRR abs/2203.11132 (2022) - [i60]Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. CoRR abs/2204.05703 (2022) - [i59]Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek:
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. CoRR abs/2205.09706 (2022) - [i58]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
GAN-based generation of realistic 3D data: A systematic review and taxonomy. CoRR abs/2207.01390 (2022) - [i57]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in Medicine: A systematic Review and Taxonomy. CoRR abs/2209.03245 (2022) - [i56]Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger:
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. CoRR abs/2209.14783 (2022) - [i55]Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek:
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology. CoRR abs/2210.11822 (2022) - [i54]Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek:
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. CoRR abs/2210.14228 (2022) - [i53]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-Source Skull Reconstruction with MONAI. CoRR abs/2211.14051 (2022) - [i52]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j15]Christina Gsaxner, Antonio Pepe, Jianning Li, Una Ibrahimpasic, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. Comput. Methods Programs Biomed. 200: 105854 (2021) - [j14]Jianning Li, Gord von Campe, Antonio Pepe, Christina Gsaxner, Enpeng Wang, Xiaojun Chen, Ulrike Zefferer, Martin Tödtling, Marcell Krall, Hannes Deutschmann, Ute Schäfer, Dieter Schmalstieg, Jan Egger:
Automatic skull defect restoration and cranial implant generation for cranioplasty. Medical Image Anal. 73: 102171 (2021) - [j13]Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern:
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput. Sci. 7: e773 (2021) - [j12]Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger:
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c52]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger:
Deep learning and particle filter-based aortic dissection vessel tree segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c51]Michael Schmied, Antonio Pepe, Jan Egger:
A patch-based-approach for aortic landmarking. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c50]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. AutoImplant@MICCAI 2021: 45-62 - [c49]Artem Kroviakov, Jianning Li, Jan Egger:
Sparse Convolutional Neural Network for Skull Reconstruction. AutoImplant@MICCAI 2021: 80-94 - [c48]Lei Yu, Jianning Li, Jan Egger:
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis. AutoImplant@MICCAI 2021: 105-115 - [c47]Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger:
An online platform for automatic skull defect restoration and cranial implant design. Image-Guided Procedures 2021 - [c46]Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg, Jan Egger:
Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. VRST 2021: 4:1-4:11 - [e2]Jianning Li, Jan Egger:
Towards the Automatization of Cranial Implant Design in Cranioplasty II - Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13123, Springer 2021, ISBN 978-3-030-92651-9 [contents] - [i51]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger:
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. CoRR abs/2108.02998 (2021) - [i50]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. CoRR abs/2108.05269 (2021) - [i49]Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. CoRR abs/2111.11269 (2021) - [i48]Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek:
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. CoRR abs/2112.00661 (2021) - 2020
- [j11]Antonio Pepe, Jianning Li, Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A. Holzapfel, Jan Egger:
Detection, segmentation, simulation and visualization of aortic dissections: A review. Medical Image Anal. 65: 101773 (2020) - [c45]Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Xiaojun Chen, Thomas-Peter Fries, Jan Egger:
IRIS: interactive real-time feedback image segmentation with deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170R - [c44]Jianning Li, Jan Egger:
Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge. AutoImplant@MICCAI 2020: 10-15 - [c43]Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner, Jan Egger:
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. ML-CDS/CLIP@MICCAI 2020: 64-74 - [c42]Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger:
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. ML-CDS/CLIP@MICCAI 2020: 75-84 - [c41]Yuan Jin, Jianning Li, Jan Egger:
High-Resolution Cranial Implant Prediction via Patch-Wise Training. AutoImplant@MICCAI 2020: 94-103 - [c40]Matthias Eder, Jianning Li, Jan Egger:
Learning Volumetric Shape Super-Resolution for Cranial Implant Design. AutoImplant@MICCAI 2020: 104-113 - [c39]Antonio Pepe, Gabriel Mistelbauer, Christina Gsaxner, Jianning Li, Dominik Fleischmann, Dieter Schmalstieg, Jan Egger:
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. TIA@MICCAI 2020: 130-140 - [c38]Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann, Xiaojun Chen:
A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. Image-Guided Procedures 2020: 1131531 - [e1]Jianning Li, Jan Egger:
Towards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12439, Springer 2020, ISBN 978-3-030-64326-3 [contents] - [i47]Alexander Prutsch, Antonio Pepe, Jan Egger:
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images. CoRR abs/2005.02760 (2020) - [i46]Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger:
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design. CoRR abs/2006.00980 (2020) - [i45]Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger:
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge. CoRR abs/2006.12449 (2020) - [i44]Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li:
Medical Deep Learning - A systematic Meta-Review. CoRR abs/2010.14881 (2020) - [i43]Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li:
Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact. CoRR abs/2011.08184 (2020)
2010 – 2019
- 2019
- [j10]Jürgen Wallner, Michael Schwaiger, Kerstin Hochegger, Christina Gsaxner, Wolfgang Zemann, Jan Egger:
A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery. Comput. Methods Programs Biomed. 182 (2019) - [j9]Antonio Pepe, Gianpaolo Francesco Trotta, Peter Mohr-Ziak, Christina Gsaxner, Jürgen Wallner, Vitoantonio Bevilacqua, Jan Egger:
A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation. J. Digit. Imaging 32(6): 1008-1018 (2019) - [c37]Maximilian Weber, Daniel Wild, Jürgen Wallner, Jan Egger:
A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. EMBC 2019: 3463-3467 - [c36]Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Malgorzata Kolodziej, Jan Egger:
Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. EMBC 2019: 6724-6729 - [c35]Mauro Sylos Labini, Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Jan Egger, Vitoantonio Bevilacqua:
Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. ICIC (3) 2019: 716-726 - [c34]Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery. MICCAI (5) 2019: 236-244 - [c33]Ana Morais, Jan Egger, Victor Alves:
Automated Computer-aided Design of Cranial Implants Using a Deep Volumetric Convolutional Denoising Autoencoder. WorldCIST (3) 2019: 151-160 - [i42]Jürgen Wallner, Irene Mischak, Jan Egger:
Computed tomography data collection of the complete human mandible and valid clinical ground truth models. CoRR abs/1902.05255 (2019) - [i41]Christina Gsaxner, Peter M. Roth, Jürgen Wallner, Jan Egger:
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data. CoRR abs/1903.02871 (2019) - [i40]Daniel Wild, Maximilian Weber, Jan Egger:
Client/Server Based Online Environment for Manual Segmentation of Medical Images. CoRR abs/1904.08610 (2019) - 2018
- [c32]Jan Egger, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Dieter Schmalstieg, Jürgen Wallner:
Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. EMBC 2018: 656-660 - [c31]Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781Z - [c30]Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Lower jawbone data generation for deep learning tools under MeVisLab. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105782O - [i39]Jan Egger, Xiaojun Chen, Lucas Bettac, Mark Martin Hänle, Tilmann Gräter, Wolfram G. Zoller, Dieter Schmalstieg, Alexander Hann:
In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine. CoRR abs/1803.04279 (2018) - [i38]Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg, Jan Egger:
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. CoRR abs/1805.08604 (2018) - 2017
- [b2]Jan Egger:
Segmentierung medizinischer Bilddaten und bildgestützte intraoperative Navigation (Segmentation of medical data and image-guided intraoperative navigation). Marburg University, Germany, 2017 - [c29]Jan Egger, Markus Gall, Jürgen Wallner, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg:
Interaktive Planung von Gesichtsimplantaten. Bildverarbeitung für die Medizin 2017: 134-139 - [c28]Jan Egger, Kerstin Hochegger, Markus Gall, Xiaojun Chen, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg, Jürgen Wallner:
Algorithmic evaluation of lower jawbone segmentations. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370C - [c27]Markus Gall, Knut Reinbacher, Jürgen Wallner, Jan Stanzel, Xiaojun Chen, Katja Schwenzer-Zimmerer, Dieter Schmalstieg, Jan Egger:
Interactive planning of miniplates. Image-Guided Procedures 2017: 101352M - [i37]Xiaojun Chen, Xing Li, Lu Xu, Yi Sun, Constantinus Politis, Jan Egger:
Development of a computer-aided design software for dental splint in orthognathic surgery. CoRR abs/1703.03199 (2017) - [i36]Jan Egger, Markus Gall, Alois Tax, Muammer Üçal, Ulrike Zefferer, Xing Li, Gord von Campe, Ute Schäfer, Dieter Schmalstieg, Xiaojun Chen:
Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software. CoRR abs/1703.03202 (2017) - [i35]Jan Egger, Markus Gall, Jürgen Wallner, Pedro Boechat, Alexander Hann, Xing Li, Xiaojun Chen, Dieter Schmalstieg:
HTC Vive MeVisLab integration via OpenVR for medical applications. CoRR abs/1703.07575 (2017) - [i34]Jan Egger, Dieter Schmalstieg, Xiaojun Chen, Wolfram G. Zoller, Alexander Hann:
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images. CoRR abs/1704.05368 (2017) - [i33]Xiaojun Chen, Lu Xu, Xing Li, Jan Egger:
Computer-aided implant design for the restoration of cranial defects. CoRR abs/1706.07649 (2017) - [i32]Jan Egger, Jürgen Wallner, Markus Gall, Xiaojun Chen, Katja Schwenzer-Zimmerer, Knut Reinbacher, Dieter Schmalstieg:
Computer-aided position planning of miniplates to treat facial bone defects. CoRR abs/1708.05711 (2017) - [i31]Alexander Hann, Lucas Bettac, Mark Martin Haenle, Tilmann Graeter, Andreas W. Berger, Jens Dreyhaupt, Dieter Schmalstieg, Wolfram G. Zoller, Jan Egger:
Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound. CoRR abs/1710.02984 (2017) - [i30]Jan Egger, Christopher Nimsky, Xiaojun Chen:
Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application. CoRR abs/1711.04592 (2017) - 2016
- [c26]Markus Gall, Xing Li, Xiaojun Chen, Dieter Schmalstieg, Jan Egger:
Computer-aided planning and reconstruction of cranial 3D implants. EMBC 2016: 1179-1183 - [c25]Tobias Lüddemann, Jan Egger:
Interactive and scale invariant segmentation of the rectum/sigmoid via user-defined templates. Image Processing 2016: 978436 - [c24]Jan Egger, Christopher Nimsky:
Cellular automata segmentation of the boundary between the compacta of vertebral bodies and surrounding structures. Image Perception, Observer Performance, and Technology Assessment 2016: 97871G - [i29]Xiaojun Chen, Lu Xu, Yue Yang, Jan Egger:
A semi-automatic computer-aided method for surgical template design. CoRR abs/1602.01644 (2016) - [i28]Dzenan Zukic, Jan Egger, Miriam H. A. Bauer, Daniela Kuhnt, Barbara Carl, Bernd Freisleben, Andreas Kolb, Christopher Nimsky:
Preoperative Volume Determination for Pituitary Adenoma. CoRR abs/1602.02022 (2016) - [i27]Jan Egger, Stefan Großkopf, Bernd Freisleben:
Simulation of bifurcated stent grafts to treat abdominal aortic aneurysms (AAA). CoRR abs/1602.02490 (2016) - [i26]Jing Lu, Jan Egger, Andreas Wimmer, Stefan Großkopf, Bernd Freisleben:
Detection and Visualization of Endoleaks in CT Data for Monitoring of Thoracic and Abdominal Aortic Aneurysm Stents. CoRR abs/1602.02881 (2016) - [i25]Jan Egger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Xiaojun Chen, Wolfram G. Zoller, Dieter Schmalstieg, Alexander Hann:
US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions. CoRR abs/1603.00546 (2016) - [i24]Jan Egger, Christopher Nimsky:
Cellular Automata Segmentation of the Boundary between the Compacta of Vertebral Bodies and Surrounding Structures. CoRR abs/1603.00960 (2016) - [i23]Tobias Lüddemann, Jan Egger:
Interactive and Scale Invariant Segmentation of the Rectum/Sigmoid via User-Defined Templates. CoRR abs/1603.00961 (2016) - 2015
- [j8]Xiaojun Chen, Lu Xu, Yiping Wang, Huixiang Wang, Fang Wang, Xiangsen Zeng, Qiugen Wang, Jan Egger:
Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display. J. Biomed. Informatics 55: 124-131 (2015) - [c23]Tobias Lüddemann, Jan Egger:
Interaktive und skalierungsinvariante Segmentierung des Rektums/Sigmoid in intraoperativen MRT-Aufnahmen für die gynäkologische Brachytherapie. Bildverarbeitung für die Medizin 2015: 29-34 - [c22]Jan Egger, Harald Busse, Michael Moche, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Nikita Garnov, Jochen Fuchs, Peter Voigt, Florian Dazinger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Alexander Hann, Bernd Freisleben, Thomas Kahn, Dieter Schmalstieg:
Semi-automatische Segmentierung von Schädigungszonen in post-interventionellen CT-Daten. Bildverarbeitung für die Medizin 2015: 281-286 - [c21]Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Xiaojun Chen, Alexander Hann, Pedro Boechat, Wei Yu, Bernd Freisleben, Tuomas Alhonnoro, Mika Pollari, Michael Moche, Dieter Schmalstieg:
RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts. EMBC 2015: 2423-2429 - [c20]Bernhard Kainz, Christina Malamateniou, Giulio Ferrazzi, Maria Murgasova, Jan Egger, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. ISBI 2015: 849-852 - [i22]Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Alexander Hann, Xiaojun Chen, Tuomas Alhonnoro, Mika Pollari, Dieter Schmalstieg, Michael Moche:
Interactive Volumetry Of Liver Ablation Zones. CoRR abs/1512.04582 (2015) - 2014
- [j7]Dzenan Zukic, Ales Vlasák, Jan Egger, Daniel Horínek, Christopher Nimsky, Andreas Kolb:
Robust Detection and Segmentation for Diagnosis of Vertebral Diseases Using Routine MR Images. Comput. Graph. Forum 33(6): 190-204 (2014) - [j6]Jan Egger, Tobias Lüddemann, Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky:
Interactive-cut: Real-time feedback segmentation for translational research. Comput. Medical Imaging Graph. 38(4): 285-295 (2014) - [c19]Jan Egger:
Semi-automatische Echtzeit-Konturierung. Bildverarbeitung für die Medizin 2014: 366-371 - [i21]Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky, Jan Egger:
Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences. CoRR abs/1404.4467 (2014) - [i20]Xiaojun Chen, Jan Egger:
Development of an open source software module for enhanced visualization during MR-guided interstitial gynecologic brachytherapy. CoRR abs/1404.6116 (2014) - [i19]Jan Egger:
Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science. CoRR abs/1406.1906 (2014) - 2013
- [j5]Jan Egger, Dzenan Zukic, Bernd Freisleben, Andreas Kolb, Christopher Nimsky:
Segmentation of pituitary adenoma: A graph-based method vs. a balloon inflation method. Comput. Methods Programs Biomed. 110(3): 268-278 (2013) - [c18]Robert Schwarzenberg, Bernd Freisleben, Ron Kikinis, Christopher Nimsky, Jan Egger:
Ein kubusbasierter Ansatz zur Segmentierung von Wirbeln in MRT-Aufnahmen. Bildverarbeitung für die Medizin 2013: 69-74 - [i18]Tina Kapur, Jan Egger, Antonio Damato, Ehud J. Schmidt, Akila N. Viswanathan:
3T MR-Guided Brachytherapy for Gynecologic Malignancies. CoRR abs/1302.5666 (2013) - [i17]Jan Egger, Tina Kapur, Andriy Fedorov, Steve Pieper, James V. Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J. Golby, Christopher Nimsky, Ron Kikinis:
GBM Volumetry using the 3D Slicer Medical Image Computing Platform. CoRR abs/1303.0964 (2013) - [i16]Jan Egger, Junichi Tokuda, Laurent Chauvin, Bernd Freisleben, Christopher Nimsky, Tina Kapur, William M. Wells III:
Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab. CoRR abs/1309.1863 (2013) - [i15]Jan Egger:
Image-guided therapy system for interstitial gynecologic brachytherapy in a multimodality operating suite. CoRR abs/1309.5574 (2013) - [i14]Jan Egger:
PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland. CoRR abs/1310.3366 (2013) - [i13]Jan Egger, Miriam H. A. Bauer, Stefan Großkopf, Christina Biermann, Bernd Freisleben, Christopher Nimsky:
Determination, Calculation and Representation of the Upper and Lower Sealing Zones During Virtual Stenting of Aneurysms. CoRR abs/1310.5755 (2013) - [i12]Miriam H. A. Bauer, Sebastiano Barbieri, Jan Klein, Jan Egger, Daniela Kuhnt, Bernd Freisleben, Horst K. Hahn, Christopher Nimsky:
A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging. CoRR abs/1310.6092 (2013) - 2012
- [j4]Jan Egger, Stefan Grosskopf, Christopher Nimsky, Tina Kapur, Bernd Freisleben:
Modeling and visualization techniques for virtual stenting of aneurysms and stenoses. Comput. Medical Imaging Graph. 36(3): 183-203 (2012) - [j3]Jan Egger, Christoph Kappus, Bernd Freisleben, Christopher Nimsky:
A Medical Software System for Volumetric Analysis of Cerebral Pathologies in Magnetic Resonance Imaging (MRI) Data. J. Medical Syst. 36(4): 2097-2109 (2012) - [j2]Jan Egger, Rivka R. Colen, Bernd Freisleben, Christopher Nimsky:
Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain. J. Medical Syst. 36(5): 2829-2839 (2012) - [c17]Jan Egger, Thomas Dukatz, Bernd Freisleben, Christopher Nimsky:
Ein semiautomatischer Ansatz zur Flächenbestimmung von Wirbeln in MRT-Aufnahmen. Bildverarbeitung für die Medizin 2012: 274-279 - [c16]Dzenan Zukic, Ales Vlasák, Thomas Dukatz, Jan Egger, Daniel Horínek, Christopher Nimsky, Andreas Kolb:
Segmentation of Vertebral Bodies in MR Images. VMV 2012: 135-142 - [i11]Jan Egger, Tina Kapur, Thomas Dukatz, Malgorzata Kolodziej, Dzenan Zukic, Bernd Freisleben, Christopher Nimsky:
Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape. CoRR abs/1203.2839 (2012) - [i10]Jan Egger, Bernd Freisleben, Christopher Nimsky, Tina Kapur:
Template-Cut: A Pattern-Based Segmentation Paradigm. CoRR abs/1205.6605 (2012) - [i9]Jan Egger, Tina Kapur, Christopher Nimsky, Ron Kikinis:
Pituitary Adenoma Volumetry with 3D Slicer. CoRR abs/1212.2860 (2012) - 2011
- [j1]Miriam Helen Anna Bauer, Sebastiano Barbieri, Jan Klein, Jan Egger, Daniela Kuhnt, Bernd Freisleben, Horst K. Hahn, Christopher Nimsky:
Boundary estimation of fiber bundles derived from diffusion tensor images. Int. J. Comput. Assist. Radiol. Surg. 6(1): 1-11 (2011) - [c15]Jan Egger, Christoph Kappus, Bernd Freisleben, Christopher Nimsky:
Ein effizienter geometrischer Ansatz zur Unterstützung der Trajektoriebestimmung bei der Tiefenhirnstimulation. Bildverarbeitung für die Medizin 2011: 374-378 - [c14]Dzenan Zukic, Jan Egger, Miriam H. A. Bauer, Daniela Kuhnt, Barbara Carl, Bernd Freisleben, Andreas Kolb, Christopher Nimsky:
Preoperative volume determination for pituitary adenoma. Computer-Aided Diagnosis 2011: 79632T - [i8]Dzenan Zukic, Jan Egger, Miriam Helen Anna Bauer, Daniela Kuhnt, Barbara Carl, Bernd Freisleben, Andreas Kolb, Christopher Nimsky:
Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach. CoRR abs/1102.0634 (2011) - [i7]Jan Egger, Dzenan Zukic, Miriam Helen Anna Bauer, Daniela Kuhnt, Barbara Carl, Bernd Freisleben, Andreas Kolb, Christopher Nimsky:
A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data. CoRR abs/1102.2382 (2011) - [i6]Jan Egger, Miriam Helen Anna Bauer, Daniela Kuhnt, Barbara Carl, Christoph Kappus, Bernd Freisleben, Christopher Nimsky:
Evaluation of a Novel Approach for Automatic Volume Determination of Glioblastomas Based on Several Manual Expert Segmentations. CoRR abs/1103.1474 (2011) - [i5]Miriam Helen Anna Bauer, Jan Egger, Daniela Kuhnt, Sebastiano Barbieri, Jan Klein, Horst K. Hahn, Bernd Freisleben, Christopher Nimsky:
A Semi-Automatic Graph-Based Approach for Determining the Boundary of Eloquent Fiber Bundles in the Human Brain. CoRR abs/1103.1475 (2011) - [i4]Jan Egger, Bernd Freisleben, Randolph Setser, Rahul Renapuraar, Christina Biermann, Thomas O'Donnell:
Aorta Segmentation for Stent Simulation. CoRR abs/1103.1773 (2011) - [i3]Jan Egger, Miriam Helen Anna Bauer, Daniela Kuhnt, Christoph Kappus, Barbara Carl, Bernd Freisleben, Christopher Nimsky:
A Flexible Semi-Automatic Approach for Glioblastoma multiforme Segmentation. CoRR abs/1103.1777 (2011) - [i2]Jan Egger, Miriam Helen Anna Bauer, Daniela Kuhnt, Bernd Freisleben, Christopher Nimsky:
Pituitary Adenoma Segmentation. CoRR abs/1103.1778 (2011) - [i1]Miriam H. A. Bauer, Jan Egger, Daniela Kuhnt, Sebastiano Barbieri, Jan Klein, Horst K. Hahn, Bernd Freisleben, Christopher Nimsky:
Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation. CoRR abs/1103.1952 (2011) - 2010
- [c13]Jan Egger, Shaohua Kevin Zhou, Stefan Großkopf, David Liu, Christian Hopfgartner, Dominik Bernhardt, Christina Biermann, Christopher Nimsky, Bernd Freisleben:
Body landmark detection for a fully automatic AAA stent graft planning software system. CBMS 2010: 364-369 - [c12]Miriam Helen Anna Bauer, Sebastiano Barbieri, Jan Egger, Daniela Kuhnt, Jan Klein, Horst K. Hahn, Bernd Freisleben, Christopher Nimsky:
Segmentierung von Faserbahnsystemen mit einem strahlenbasierten Ansatz und Glättung der FA- und Winkel-Karten. CURAC 2010: 147-152 - [c11]Jan Egger, Miriam Helen Anna Bauer, Daniela Kuhnt, Barbara Carl, Christoph Kappus, Bernd Freisleben, Christopher Nimsky:
Nugget-Cut: A Segmentation Scheme for Spherically- and Elliptically-Shaped 3D Objects. DAGM-Symposium 2010: 373-382 - [c10]Miriam Helen Anna Bauer, Jan Egger, Tom O'Donnell, Sebastiano Barbieri, Jan Klein, Bernd Freisleben, Horst K. Hahn, Christopher Nimsky:
A Fast and Robust Graph-Based Approach for Boundary Estimation of Fiber Bundles Relying on Fractional Anisotropy Maps. ICPR 2010: 4016-4019
2000 – 2009
- 2009
- [b1]Jan Egger:
Prä- und postoperative Segmentierung und virtuelles Stenting von Aneurysmen und Stenosen. University of Marburg, 2009 - [c9]Jan Egger, Stefan Großkopf, Thomas O'Donnell, Bernd Freisleben:
A software system for stent planning, stent simulation and follow-up examinations in the vascular domain. CBMS 2009: 1-7 - [c8]Jan Egger, Christina Biermann, Stefan Großkopf, Christian Hopfgartner, Dominik Fritz, Bernd Freisleben:
Vollautomatische Stent-Planung und Stent-Simulation zur Unterstützung der minimal-invasiven Behandlung von abdominalen Bauchaortenaneurysmen. GI Jahrestagung 2009: 1317-1327 - 2008
- [c7]Katharina Greiner, Jan Egger, Stefan Großkopf, Jens N. Kaftan, Ralf Dörner, Bernd Freisleben:
Segmentierung von Aortenaneurysmen in CTA-Bildern mit dem statistischen Verfahren der Active Appearance Models. Bildverarbeitung für die Medizin 2008: 51-55 - [c6]Jing Lu, Jan Egger, Andreas Wimmer, Stefan Großkopf, Bernd Freisleben:
Detection and visualization of endoleaks in CT data for monitoring of thoracic and abdominal aortic aneurysm stents. Image-Guided Procedures 2008: 69181F - 2007
- [c5]Jan Egger, Stefan Großkopf, Bernd Freisleben:
Präoperative Simulation von Rohrprothesen und Y-Stents zur endovaskulären Behandlung von Stenosen und Aneurysmen. Bildverarbeitung für die Medizin 2007: 182-186 - [c4]Jan Egger, Zvonimir Mostarkic, Stefan Großkopf, Bernd Freisleben:
A Fast Vessel Centerline Extraction Algorithm for Catheter Simulation. CBMS 2007: 177-182 - [c3]Jan Egger, Zvonimir Mostarkic, Stefan Großkopf, Bernd Freisleben:
Preoperative Measurement of Aneurysms and Stenosis and Stentsimulation for Endovascular Treatment. ISBI 2007: 392-395 - [c2]Jan Egger, Stefan Großkopf, Bernd Freisleben:
Simulation of bifurcated stent grafts to treat abdominal aortic aneurysms (AAA). Image-Guided Procedures 2007: 65091N - 2006
- [c1]Detlef Richter, Jan Egger, Gerd Straßmann:
Ein Algorithmus zur Positionsbestimmung von Patienten und Biopsienadeln mit einem Vierkamerasystem. Bildverarbeitung für die Medizin 2006: 316-320
Coauthor Index
Stefan Großkopf
aka: Stefan Grosskopf
aka: Stefan Grosskopf
[j37] [j34] [j33] [j32] [j30] [j29] [j28] [j26] [j24] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [d3] [i88] [i87] [i86] [i83] [i82] [i80] [i78] [i77] [i76] [i75] [j23] [j21] [j20] [j19] [j18] [c62] [c60] [c59] [c57] [e4] [d2] [d1] [i72] [i71] [i70] [i69] [i67] [i66] [i65] [i64] [j17] [c54] [c53] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i51] [i48]
[j33] [j32] [j30] [j29] [j26] [d3] [i88] [i86] [i84] [i83] [j22] [j20] [j19] [j18] [c63] [c62] [c61] [c60] [c59] [c57] [e4] [e3] [d2] [d1] [i73] [i70] [i67] [i66] [j17] [j16] [c56] [c55] [c54] [c53] [i60] [i58] [i57] [i56] [i53] [i52] [j15] [j14] [j13] [j12] [c52] [c50] [c49] [c48] [c47] [c46] [e2] [i51] [i50] [i49] [j11] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [e1] [i46] [i45] [i44] [i43]
Christina Schwarz-Gsaxner
aka: Christina Gsaxner
aka: Christina Gsaxner
[j30] [c71] [c69] [c66] [c65] [d6] [d5] [d4] [i84] [i82] [i74] [j22] [j20] [j19] [c61] [c60] [d2] [d1] [i69] [i67] [i63] [j17] [j16] [c55] [i60] [i57] [j15] [j14] [j13] [j12] [c52] [c50] [c47] [c46] [i51] [i50] [i49] [j11] [c45] [c43] [c42] [c39] [c38] [i46] [i45] [i44] [i43] [j10] [j9] [c36] [c35] [c34] [i41] [c32] [c31] [c30]
Constantin Seibold
aka: Constantin Marc Seibold
aka: Constantin Marc Seibold
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-30 21:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
