21.  11/23      Z. Marinov, P. F. Jäger, J. Egger, J. Kleesiek, R. Stiefelhagen
         “Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy”
         arXiv preprint, pp. 1-26, 2023. (Link)
       
20.  11/23      K. Krieger, J. Egger, J. Kleesiek, M. Gunzer, J. Chen
         “Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine”
         arXiv preprint, pp. 1-10, 2023. (Link)
       
19.  10/23      J. Keyl, P. Keyl, G. Montavon, R. Hosch, A. Brehmer, L. M., P. Jurmeister, G. Dernbach, M. Kim, S. Koitka, S. Bauer, N. Bechrakis, M. Forsting, D. Fuehrer-Sakel, M. Glas, V. Gruenwald, B. Hadaschik, J. Haubold, K. Herrmann, S. Kasper, R. Kimmig, T. Rassaf, A. Roesch, D. Schadendorf, J. T. Siveke, M. Stuschke, U. Sure, M. Totzeck, A. Welt, M. Wiesweg, H. A. Baba, F. Nensa, J. Egger, K.-R. Mueller, M. Schuler, F. Klauschen, J. Kleesiek
         “Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence”
         medRxiv preprint, pp. 1-29, 2023. (Link)
       
18.  10/23      A. Dada, A. Chen, C. Peng, K. E. Smith, A. Idrissi-Yaghir, C. M. Seibold, J. Li, L. Heiliger, C. M. Friedrich, D. Truhn, J. Egger, J. Bian, J. Kleesiek, Y. Wu
         “On the Impact of Cross-Domain Data on German Language Models”
         arXiv preprint, pp. 1-13, 2023. (Link)
       
17.  10/23      M. Lindo, A. S. Santos, A. Ferreira, J. Li, G. Luijten, G. Correia, M. Kim, J. Kleesiek, J. Egger, V. Alves
         “Multilingual Natural Language Processing Model for Radiology Reports - The Summary is all you need!”
         arXiv preprint, pp. 1-9, 2023. (Link)
       
16.  08/23      J. Li, et al.
         “MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision”
         arXiv preprint, pp. 1-20, 2023. (Link)
       
15.  08/23      W. Zhu, Y. Jin, G. Ma, G. Chen, J. Egger, S. Zhang, D. N. Metaxas
         “Classification of lung cancer subtypes on CT images with synthetic pathological priors”
         arXiv preprint, pp. 1-16, 2023. (Link)
       
14.  08/23      J. Egger, C. Gsaxner, X. Chen, J. Bian, J. Kleesiek, B. Puladi
         “Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision Medicine”
         arXiv preprint, pp. 1-13, 2023. (Link)
       
13.  07/23      L. Adilova, A. Abourayya, J. Li, A. Dada, H. Petzka, J. Egger, J. Kleesiek, M. Kamp
         “FAM: Relative Flatness Aware Minimization”
         arXiv preprint, pp. 1-12, 2023. (Link)
       
12.  06/23      A. Brehmer, C. M. Sauer, J. Salazar, K. Hermmann, M. Kim, J. Keyl, F. H. Bahnsen, B. Frank, M. Köhrmann, T. Rassaf, A.-A. Mahabadi, B. Hadaschik, C. Darr, K. Herrmann, S. Tan, J. Buer, T. Brenner, H. C. Reinhardt, F. Nensa, M. Gertz, J. Egger, J. Kleesiek
         “Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management”
         Preprints with The Lancet, pp. 1-23, 2023. (Link)
       
11.  06/23      F. Jonske, M. Kim, E. Nasca, J. Evers, J. Haubold, R. Hosch, F. Nensa, M. Kamp, C. Seibold, J. Egger, J. Kleesiek
         “Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries”
         arXiv preprint, pp. 1-26, 2023. (Link)
       
10.  06/23      F. Hörst, M. Rempe, L. Heine, C. Seibold, J. Keyl, G. Baldini, S. Ugurel, J. Siveke, B. Grünwald, J. Egger, J. Kleesiek
         “CellViT: Vision Transformers for Precise Cell Segmentation and Classification”
         arXiv preprint, pp. 1-18, 2023. (Link)
       
9.  06/23      S. Gatidis, M. Früh, M. Fabritius, S. Gu, K. Nikolaou, C. La Fougère, J. Ye, J. He, Y. Peng, L. Bi, J. Ma, B. Wang, J. Zhang, Y. Huang, L. Heiliger, Z. Marinov, R. Stiefelhagen, J. Egger, J. Kleesiek, L. Sibille, L. Xiang, S. Bendazolli, M. Astaraki, B. Schölkopf, M. Ingrisch, C. Cyran, T. Küstner
         “The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging”
         Research Square preprint, pp. 1-20, 2023. (Link)
       
8.  03/23      J. Li, A. Dada, J. Kleesiek, J. Egger
         “ChatGPT in Healthcare: A Taxonomy and Systematic Review”
         medRxiv preprint, pp. 1-30, 2023. (Link) (pdf)
       
7.  12/22      M. Eisenmann, et al.
         “Biomedical image analysis competitions: The state of current participation practice”
         arXiv preprint, pp. 1-29, 2022. (Link)
       
6.  10/22      L. Heiliger, Z. Marinov, M. Hasin, A. Ferreira, J. Fragemann, K. Pomykala, J. Murray, D. Kersting, V. Alves, R. Stiefelhagen, J. Egger, J. Kleesiek
         “AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier”
         arXiv preprint, pp. 1-12, 2022. (Link)
       
5.  07/22      A. Ferreira, J. Li, K. L. Pomykala, J. Kleesiek, V. Alves, J. Egger
         “GAN-based generation of realistic 3D data: A systematic review and taxonomy”
         arXiv preprint, pp. 1-52, 2022. (Link)
       
4.  04/22      J. Li, D. G. Ellis, A. Pepe, C. Gsaxner, M. R. Aizenberg, J. Kleesiek, J. Egger
         “Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model”
         arXiv preprint, pp. 1-9, 2022. (Link)
       
3.  03/22      J. Fragemann, L. Ardizzone, J. Egger, J. Kleesiek
         “Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare”
         arXiv preprint, pp. 1-43, 2022. (Link)
       
2.  02/22      L. Heiliger, A. Sekuboyina, B. Menze, J. Egger, J. Kleesiek
         “Beyond Medical Imaging - A Review of Multimodal Deep Learning in Radiology”
         TechRxiv preprint, pp. 1-12, 2022. (Link)
       
1.  08/21      Y. Jin, A. Pepe, J. Li, C. Gsaxner, F.-h. Zhao, K. L. Pomykala, J. Kleesiek, A. F. Frangi, J. Egger
         “AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo”
         arXiv preprint, pp. 1-49, 2021. (Link)