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”
         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)