26.  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)
       
25.  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)
       
24.  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)
       
23.  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)
       
22.  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”
         ResearchGate preprint, pp. 1-61, 2024. (Link)
       
21.  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)
       
20.  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)
       
19.  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)
       
18.  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)
       
17.  12/23      C. Gsaxner, S. Mori, D. Schmalstieg, J. Egger, G. Paar, W. Bailer, D. Kalkofen
         “DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality”
         arXiv preprint, pp. 1-24, 2023. (Link)
       
16.  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)
       
15.  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)
       
14.  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)
       
13.  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)
       
12.  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)
       
11.  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)
       
10.  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)
       
9.  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)
       
8.  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)
       
7.  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)
       
6.  12/22      M. Eisenmann, et al.
         “Biomedical image analysis competitions: The state of current participation practice”
         arXiv preprint, pp. 1-29, 2022. (Link)
       
5.  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)
       
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)