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)