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) |
|
|
|
|