21. |
11/23 |
|
Z. Marinov, P. F. Jäger, J. Egger, J. Kleesiek, R. Stiefelhagen |
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“Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy” |
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arXiv preprint, pp. 1-26, 2023. (Link) |
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20. |
11/23 |
|
K. Krieger, J. Egger, J. Kleesiek, M. Gunzer, J. Chen |
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“Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine” |
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arXiv preprint, pp. 1-10, 2023. (Link) |
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19. |
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 |
|
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“Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence” |
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medRxiv preprint, pp. 1-29, 2023. (Link) |
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18. |
10/23 |
|
A. Dada, A. Chen, C. Peng, K. E. Smith, A. Idrissi-Yaghir, C. M. Seibold, J. Li, L. Heiliger, C. M. Friedrich, D. Truhn, J. Egger, J. Bian, J. Kleesiek, Y. Wu |
|
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“On the Impact of Cross-Domain Data on German Language Models” |
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arXiv preprint, pp. 1-13, 2023. (Link) |
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17. |
10/23 |
|
M. Lindo, A. S. Santos, A. Ferreira, J. Li, G. Luijten, G. Correia, M. Kim, J. Kleesiek, J. Egger, V. Alves |
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|
“Multilingual Natural Language Processing Model for Radiology Reports - The Summary is all you need!” |
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arXiv preprint, pp. 1-9, 2023. (Link) |
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16. |
08/23 |
|
J. Li, et al. |
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“MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision” |
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arXiv preprint, pp. 1-20, 2023. (Link) |
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15. |
08/23 |
|
W. Zhu, Y. Jin, G. Ma, G. Chen, J. Egger, S. Zhang, D. N. Metaxas |
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|
“Classification of lung cancer subtypes on CT images with synthetic pathological priors” |
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|
arXiv preprint, pp. 1-16, 2023. (Link) |
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14. |
08/23 |
|
J. Egger, C. Gsaxner, X. Chen, J. Bian, J. Kleesiek, B. Puladi |
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“Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision Medicine” |
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arXiv preprint, pp. 1-13, 2023. (Link) |
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13. |
07/23 |
|
L. Adilova, A. Abourayya, J. Li, A. Dada, H. Petzka, J. Egger, J. Kleesiek, M. Kamp |
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“FAM: Relative Flatness Aware Minimization” |
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arXiv preprint, pp. 1-12, 2023. (Link) |
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12. |
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 |
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“Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management” |
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Preprints with The Lancet, pp. 1-23, 2023. (Link) |
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11. |
06/23 |
|
F. Jonske, M. Kim, E. Nasca, J. Evers, J. Haubold, R. Hosch, F. Nensa, M. Kamp, C. Seibold, J. Egger, J. Kleesiek |
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|
“Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries” |
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arXiv preprint, pp. 1-26, 2023. (Link) |
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10. |
06/23 |
|
F. Hörst, M. Rempe, L. Heine, C. Seibold, J. Keyl, G. Baldini, S. Ugurel, J. Siveke, B. Grünwald, J. Egger, J. Kleesiek |
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|
“CellViT: Vision Transformers for Precise Cell Segmentation and Classification” |
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arXiv preprint, pp. 1-18, 2023. (Link) |
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9. |
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 |
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“The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging” |
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Research Square preprint, pp. 1-20, 2023. (Link) |
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8. |
03/23 |
|
J. Li, A. Dada, J. Kleesiek, J. Egger |
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|
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“ChatGPT in Healthcare: A Taxonomy and Systematic Review” |
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|
|
medRxiv preprint, pp. 1-30, 2023. (Link) (pdf) |
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7. |
12/22 |
|
M. Eisenmann, et al. |
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“Biomedical image analysis competitions: The state of current participation practice” |
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arXiv preprint, pp. 1-29, 2022. (Link) |
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6. |
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 |
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|
“AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier” |
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arXiv preprint, pp. 1-12, 2022. (Link) |
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5. |
07/22 |
|
A. Ferreira, J. Li, K. L. Pomykala, J. Kleesiek, V. Alves, J. Egger |
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|
“GAN-based generation of realistic 3D data: A systematic review and taxonomy” |
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arXiv preprint, pp. 1-52, 2022. (Link) |
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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” |
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|
|
arXiv preprint, pp. 1-9, 2022. (Link) |
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|
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) |
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|
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) |
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|
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” |
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|
|
arXiv preprint, pp. 1-49, 2021. (Link) |
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