15.  03/23      J. Li, A. Dada, J. Kleesiek, J. Egger
         “ChatGPT in Healthcare: A Taxonomy and Systematic Review”
         medRxiv preprint, pp. 1-30, 2023. (Link) (pdf)
14.  03/23      M. Eisenmann, et al.
         “Why is the winner the best?”
         arXiv preprint, pp. 1-23, 2023. (Link) (pdf)
13.  03/23      F. Hörst, S. Ting, S.-T. Liffers, K. L Pomykala, K. Steiger, M. Albertsmeier, M. K. Angele, S. Lorenzen, M. Quante, W. Weichert, J. Egger, J. T. Siveke, J. Kleesiek
         “Histology-based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning”
         medRxiv preprint, pp. 1-11, 2023. (Link)
12.  12/22      M. Eisenmann, et al.
         “Biomedical image analysis competitions: The state of current participation practice”
         arXiv preprint, pp. 1-29, 2022. (Link)
11.  11/22      J. Li, A. Ferreira, B. Puladi, V. Alves, M. Kamp, M.-S. Kim, F. Nensa, J. Kleesiek, S.-A. Ahmadi, J. Egger
         “Open-Source Skull Reconstruction with MONAI”
         arXiv preprint, pp. 1-7, 2022. (Link)
10.  10/22      C. Strack, K. L. Pomykala, H.-P. Schlemmer, J. Egger, J. Kleesiek
         “A net for everyone: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient”
         arXiv preprint, pp. 1-15, 2022. (Link)
9.  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)
8.  07/22      A. Ferreira, J. Li, K. L. Pomykala, J. Kleesiek, V. Alves, J. Egger
         “GAN-based generation of realistic 3D data: A systematic review and taxonomy”
         arXiv preprint, pp. 1-52, 2022. (Link)
7.  05/22      M. Rempe, F. Mentzel, K. L. Pomykala, J. Haubold, F. Nensa, K. Kröninger, J. Egger, J. Kleesiek
         “k-strip: A novel segmentation algorithm in k-space for the application of skull stripping”
         arXiv preprint, pp. 1-11, 2022. (Link)
6.  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)
5.  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)
4.  02/22      J. Li, C. Gsaxner, A. Pepe, D. Schmalstieg, J. Kleesiek, J. Egger
         “Sparse Convolutional Neural Networks for Medical Image Analysis”
         TechRxiv preprint, pp. 1-12, 2022. (Link)
3.  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)
2.  11/21      A. Pepe, J. Egger, M. Codari, M. J. Willemink, C. Gsaxner, J. Li, P. M. Roth, G. Mistelbauer, D. Schmalstieg, D. Fleischmann
         “Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations”
         arXiv preprint, pp. 1-28, 2021. (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)