28.	10/25		M. Balzer, A. Elsakka, G. Luijten, K. Schormann, S. Jovic, M. Gerigk, L. Mazilescu, S. Schmitz, J. Keyl, S. Liszio, O. Basu, B. M. Goraus, S. Kasper, J. Kleesiek, B. Hinrichs-Puladi, J. Egger
			“OncoVR - Virtual Reality in Oncology for Patient-centered Care: A Systematic Review and Meta-Analysis”
			medRxiv preprint, pp. 1-39, 2025. (Link)
27.	10/25		Y. Jin, A. Pepe, G. M. Melito, Y. Chen, Y. Byeon, H. Kim, K. Kim, D. Park, E. Choi, D. Hwang, A. Myronenko, D. Yang, Y. He, D. Xu, A. El-Ghotni, M. Nabil, H. El-Kady, A. Ayyad, A. Nasr, M. Wodzinski, H. Müller, H. Kim, Y. Shin, A. Khan, M. Asad, A. Zolotarev, C. Roney, A. Mathur, M. Benning, G. Slabaugh, T. Panagiotis Vagenas, K. Georgas, G. K. Matsopoulos, J. Zhang, Z. Zhang, L. Huang, C. Mayer, H. Mächler, J. Egger
			“Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions: An Overview of the SEG.A. 2023 Segmentation of the Aorta Challenge”
			arXiv preprint, pp. 1-24, 2025. (Link)
26.	08/25		N. Kiermeyer, T. Lenfers, A. Dada, J. Friedrich, S. Khattab, E. Knop, J. Egger, M. Pauly, A. Jung, G. Montavon, J. T. Siveke, . Wiesweg, S. Kasper, U. P. Neumann, F. Klauschen, S. Hartmann, M. Schuler, P. Keyl, J. Kleesiek, J. Keyl
			“Large Language Models Improve Cancer Survival Prediction Using Real-World Clinical Notes”
			medRxiv preprint, pp. 1-20, 2025. (Link)
25.	07/25		D. LaBella, V. Abramova, M. Astaraki, A. Ferreira, Z. Jiang, M. C. Cleveland, R. Kang, U. M. Lal-Trehan Estrada, C. Yalcin, R. E. Hamadache, C. Lisazo, A. Casamitjana, J. Salvi, A. Oliver, X. Lladó, I. Toma-Dasu, T. Jesus, B. Puladi, J. Kleesiek, V. Alves, J. Egger, D. Capellán-Martín, A. Parida, A. Tapp, X. Liu, M. J. Ledesma-Carbayo, J. B. Patel, T. N. McNeal, M. Viera, O. McCall, A. E. Kim, E. R. Gerstner, C. P. Bridge, K. Schumacher, M. Mix, K. Leu, S. McBurney-Lin, P. Nedelec, J. Villanueva-Meyer, D. R. Raleigh, J. Shapey, T. Vercauteren, K. Chia, M. Ivory, T. Barfoot, O. Al-Salihi, J. Leu, L. M. Halasz, Y. S. Velichko, C. Wang, J. P. Kirkpatrick, S. R. Floyd, Z. J. Reitman, T. C. Mullikin, E. J. Vaios, C. Huang, U. Bagci, S. Sachdev, J. A. Hattangadi-Gluth, T. M. Seibert, N. Farid, C. Puett, M. W. Pease, K. Shiue, S. M. Anwar, S. Faghani, P. Taylor, P. Warman, J. Albrecht, A. Jakab, M. Moassefi, V. Chung, R. Chai, A. Aristizabal, A. Karargyris, H. Kassem, S. Pati, M. Sheller, N. Maleki, R. Saluja, F. Kofler, C. G. Schwarz, P. Lohmann, P. Vollmuth, L. Gagnon, M. Adewole, H. B. Li, A. F. Kazerooni, N. H. Tahon, U. Anazodo, A. W. Moawad, B. Menze, M. George Linguraru, M. Aboian, B. Wiestler, U. Baid, G.-M. Conte, A. M. Rauschecker, A. Nada, A. H. Abayazeed, R. Huang, M. C. de Verdier, J. D. Rudie, S. Bakas, E. Calabrese
			“Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge”
			arXiv preprint, pp. 1-23, 2025. (Link)
24.	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)
23.	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)
22.	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)
21.	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)
20.	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)
19.	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)
18.	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)
17.	12/24		J. Ma, F. Li, S. Kim, R. Asakereh, B.-H. Le, D.-K. Nguyen-Vu, A. Pfefferle, M. Wei, R. Gao, D. Lyu, S. Yang, L. Purucker, Z. Marinov, M. Staring, H. Lu, T. Thanh Dao, X. Ye, Z. Li, G. Brugnara, P. Vollmuth, M. Foltyn-Dumitru, J. Cho, M. A. Mahmutoglu, M. Bendszus, I. Pflüger, A. Rastogi, D. Ni, X. Yang, G.-Q. Zhou, K. Wang, N. Heller, N. Papanikolopoulos, C. Weight, Y. Tong, J. K. Udupa, C. J. Patrick, Y. Wang, Y. Zhang, F. Contijoch, E. McVeigh, X. Ye, S. He, R. Haase, T. Pinetz, A. Radbruch, I. Krause, E. Kobler, J. He, Y. Tang, H. Yang, Y. Huo, G. Luo, K. Kushibar, J. Amankulov, D. Toleshbayev, A. Mukhamejan, J. Egger, A. Pepe, C. Gsaxner, G. Luijten, S. Fujita, T. Kikuchi, B. Wiestler, J. S. Kirschke, E. de la Rosa, F. Bolelli, L. Lumetti, C. Grana, K. Xie, G. Wu, B. Puladi, C. Martín-Isla, K. Lekadir, V. M. Campello, W. Shao, W. Brisbane, H. Jiang, H. Wei, W. Yuan, S. Li, Y. Zhou, B. Wang
			“Efficient MedSAMs: Segment Anything in Medical Images on Laptop”
			arXiv preprint, pp. 1-14, 2024. (Link)
16.	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)
15.	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)
14.	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)
13.	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)
12.	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)
11.	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)
10.	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)
9.	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)
8.	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)
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)