27.	06/25		G. Luijten, R. M. Scardigno, L. F. de Paiva, P. Hoyer, J. Kleesiek, D. Buongiorno, V. Bevilacqua, J. Egger
			“Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound”
			arXiv preprint, pp. 1-15, 2025. (Link)
26.	06/25		A. Ziuallah, J. A. Tangsrivimol, E. Darzidehkalani, H. U. Hassan Virk, W. Zhen, J. Egger, S. Hacking, I. Riaz, A. Turner, D.-. Hwang, E. G. Bignami, Y. Qadeer, J. A. Yeung, B. S. Glicksberg, H. J. W. L. Aerts, M. Strauss, C. Krittanawong
			“Artificial Intelligence and New Healthcare Technologies: A Global Perspective”
			JMIR Preprints, pp. 1-29, 2025. (Link)
25.	06/25		A. Ferreira, K. Xie, C. Wilpert, G. Correia, F. B. Ordonez, T. G. Oliveira, M. Bode, R. Siepmann, F. Hölzle, R. Röhrig, J. Kleesiek, D. Truhn, J. Egger, V. Alves, B. Puladi
			“Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation”
			arXiv preprint, pp. 1-36, 2025. (Link)
24.	06/25		K. Xie, et al.
			“Beyond Benchmarks: Towards Robust Artificial Intelligence Bone Segmentation in Socio-Technical Systems”
			medRxiv preprint, pp. 1-45, 2025. (Link)
23.	06/25		G. Luijten, L. Faray de Paiva, S. Krueger, A. Brost, L. Mazilescu, A. S. Ferreira Santos, P. Hoyer, J. Kleesiek, S. M.-T. Schmitz, U. P. Neumann, J. Egger
			“From Screen to Space: Evaluating Siemens' Cinematic Reality”
			arXiv preprint, pp. 1-16, 2025. (Link)
22.	06/25		L. Faray de Paiva, G. Luijten, A. S. Ferreira Santos, M. Kim, B. Puladi, J. Kleesiek, J. Egger
			“Beyond the Desktop: XR-Driven Segmentation with Meta Quest 3 and MX Ink”
			arXiv preprint, pp. 1-10, 2025. (Link)
21.	02/25		J. Egger, L. Faray de Paiva, G. Luijten, C. Krittanawong, J. Keyl, B. Puladi
			“Is DeepSeek-R1 a Game Changer in Healthcare? - A Seed Review”
			ResearchGate preprint, pp. 1-21, 2025. (Link) (Link)
20.	02/25		L. Faray de Paiva, G. Luijten, B. Puladi, J. Egger
			“How does DeepSeek-R1 perform on USMLE?”
			medRxiv preprint, pp. 1-10, 2025. (Link)
19.	12/24		J. Ma, et al.
			“Efficient MedSAMs: Segment Anything in Medical Images on Laptop”
			arXiv preprint, pp. 1-14, 2024. (Link)
18.	11/24		A. Ferreira, T. Jesus, B. Puladi, J. Kleesiek, V. Alves, J. Egger
			“Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation”
			arXiv preprint, pp. 1-11, 2024. (Link) (Code)
17.	11/24		A. Ferreira, G. Luijten, B. Puladi, J. Kleesiek, V. Alves, J. Egger
			“Brain Tumour Removing and Missing Modality Generation using 3D WDM”
			arXiv preprint, pp. 1-15, 2024. (Link) (Code)
16.	10/24		A. Yassin, G. Luijten, A. Elsakka1, A. Ferreira, B. Puldai, V. Alves, J. Egger
			“A MedShapeNet Foundation Model - Learning-Based Multimodal Medical Point Cloud Completion”
			preprint, pp. 1-22, 2024. (Link) (Code)
15.	09/24		L. Heine, F. Hörst, J. Fragemann, G. Luijten, M. Balzer, J. Egger, F. Bahnsen, M. Saquib Sarfraz, J. Kleesiek, C. Seibold
			“Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data”
			arXiv preprint, pp. 1-17, 2024. (Link)
14.	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)
13.	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)
12.	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)
11.	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)
10.	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)
9.	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)
8.	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)
7.	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)
6.	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)
5.	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)
4.	12/22		M. Eisenmann, et al.
			“Biomedical image analysis competitions: The state of current participation practice”
			arXiv preprint, pp. 1-29, 2022. (Link)
3.	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)
2.	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)
1.	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)