28.	07/24		Y. Jin, G. Ma, G. Chen, T. Lyu, J. Egger, J. Lyu, S. Zhang, W. Zhu
			“CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images”
			arXiv preprint, pp. 1-16, 2024. (Link)
27.	07/24		A. C. Alves, A. Ferreira, B. Puladi, J. Egger, V. Alves
			“Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI”
			arXiv preprint, pp. 1-38, 2024. (Link)
26.	06/24		M. Rempe, F. Hörst, C. Seibold, B. Hadaschik, M. Schlimbach, J. Egger, K. Kröninger, F. Breuer, M. Blaimer, J. Kleesiek
			“Tumor likelihood estimation on MRI prostate data by utilizing k-Space information”
			arXiv preprint, pp. 1-10, 2024. (Link)
25.	05/24		M. Weber, D. Wild, J. Kleesiek, J. Egger, C. Gsaxner
			“Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery”
			arXiv preprint, pp. 1-5, 2024. (Link)
24.	04/24		M. Meister, G. Luijten, C. Gsaxner, K. Xie, L. Gruber, J. Li, A. Pepe, Y. Li, A. Rashad, F. Hoelzle, R. Roehrig, M. Sallam, C. Seibold, F. Bahnsen, M. Kim, N. Fijacko, G. Stiglic, J. Keyl, J. Kleesiek, V. Alves, X. Chen, B. Puladi, J. Egger
			“A Meta-Review about Medical 3D Printing”
			medRxiv preprint, pp. 1-38, 2024. (Link)
23.	04/24		J. Egger, M. Sallam, G. Luijten, C. Gsaxner, A. Pepe, J. Kleesiek, B. Puladi, J. Li
			“Medical ChatGPT - A systematic Meta-Review”
			medRxiv preprint, pp. 1-11, 2024. (Link)
22.	03/24		M. Lackner, B. Puladi, J. Kleesiek, J. Egger, J. Li
			“A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction”
			arXiv preprint, pp. 1-6, 2024. (Link)
21.	03/24		A. Pepe, R. Schussnig, J. Li, C. Gsaxner, D. Schmalstieg, J. Egger
			“Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling”
			arXiv preprint, pp. 1-10, 2024. (Link)
20.	02/24		A. Ferreira, N. Solak, J. Li, P. Dammann, J. Kleesiek, V. Alves, J. Egger
			“How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation”
			arXiv preprint, pp. 1-18, 2024. (Link)
19.	02/24		A. C. Alves; A. Ferreira, G. Luijten, J. Kleesiek, B. Puladi, J. Egger, V. Alves
			“Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review”
			arXiv preprint, pp. 1-29, 2024. (Link)
18.	02/24		M. Sallam, J. Egger, R. Röhrig, B. Puladi
			“Navigating the Peril of Generated Alternative Facts: A ChatGPT-4 Fabricated Omega Variant Case as a Cautionary Tale in Medical Misinformation”
			arXiv preprint, pp. 1-61, 2024. (Link)
17.	01/24		J. Raufeisen, K. Xie, F. Hörst, T. Braunschweig, J. Li, J. Kleesiek, R. Röhrig, J. Egger, B. Leibe, F. Hölzle, A. Hermans, B. Puladi
			“Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images”
			arXiv preprint, pp. 1-12, 2024. (Link)
16.	01/24		M. Sallam, K. Al-Mahzoum, O. Alshuaib, H. Alhajri, F. Alotaibi, D. Alkhurainej, M. Y. Al-Balwah, M. Barakat, J. Egger
			“Superior Performance of Artificial Intelligence Models in English Compared to Arabic in Infectious Disease Queries”
			Research Square preprint, pp. 1-18, 2024. (Link)
15.	01/24		M. Sallam, K. Al-Salahat, H. Eid, J. Egger, B. Puladi
			“Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5, and Humans in Clinical Chemistry Multiple-Choice Questions”
			medRxiv preprint, pp. 1-32, 2024. (Link)
14.	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)
13.	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)
12.	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)
11.	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)
10.	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)
9.	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)
8.	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)
7.	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)
6.	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)
5.	12/22		M. Eisenmann, et al.
			“Biomedical image analysis competitions: The state of current participation practice”
			arXiv preprint, pp. 1-29, 2022. (Link)
4.	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)
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)