23. |
02/25 |
|
L. Faray de Paiva, G. Luijten, B. Puladi, J. Egger |
|
|
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“How does DeepSeek-R1 perform on USMLE?” |
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medRxiv preprint, pp. 1-10, 2025. (Link) |
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22. |
12/24 |
|
J. Ma, et al. |
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“Efficient MedSAMs: Segment Anything in Medical Images on Laptop” |
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arXiv preprint, pp. 1-14, 2024. (Link) |
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21. |
11/24 |
|
N. Moradi, A. Ferreira, B. Puladi, J. Kleesiek, E. Fatemizadeh, G. Luijten, V. Alves, J. Egger |
|
|
|
“Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy” |
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arXiv preprint, pp. 1-15, 2024. (Link) (Code) |
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20. |
11/24 |
|
A. Ferreira, T. Jesus, B. Puladi, J. Kleesiek, V. Alves, J. Egger |
|
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“Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation” |
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arXiv preprint, pp. 1-11, 2024. (Link) (Code) |
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19. |
11/24 |
|
A. Ferreira, G. Luijten, B. Puladi, J. Kleesiek, V. Alves, J. Egger |
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“Brain Tumour Removing and Missing Modality Generation using 3D WDM” |
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arXiv preprint, pp. 1-15, 2024. (Link) (Code) |
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|
18. |
10/24 |
|
A. Yassin, G. Luijten, A. Elsakka1, A. Ferreira, B. Puldai, V. Alves, J. Egger |
|
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|
“A MedShapeNet Foundation Model” |
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preprint, pp. 1-22, 2024. (Link) (Code) |
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17. |
09/24 |
|
L. Heine, F. Hörst, J. Fragemann, G. Luijten, M. Balzer, J. Egger, F. Bahnsen, M. Saquib Sarfraz, J. Kleesiek, C. Seibold |
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|
“Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data” |
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arXiv preprint, pp. 1-17, 2024. (Link) |
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16. |
09/24 |
|
P. Becker, Y. Li, S. Drobinsky, J. Egger, K. Xie, A. Rashad, K. Radermacher, R. Roehrig, M. de la Fuente, F. Hoelzle, B. Puladi |
|
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|
“Development and Validation of Collaborative Robot-assisted Cutting Method for Iliac Crest Flap Raising: Randomized Crossover Trial” |
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medRxiv preprint, pp. 1-27, 2024. (Link) |
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15. |
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” |
|
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arXiv preprint, pp. 1-16, 2024. (Link) |
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14. |
07/24 |
|
A. C. Alves, A. Ferreira, B. Puladi, J. Egger, V. Alves |
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|
“Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI” |
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arXiv preprint, pp. 1-38, 2024. (Link) |
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13. |
06/24 |
|
M. Rempe, F. Hörst, C. Seibold, B. Hadaschik, M. Schlimbach, J. Egger, K. Kröninger, F. Breuer, M. Blaimer, J. Kleesiek |
|
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|
“Tumor likelihood estimation on MRI prostate data by utilizing k-Space information” |
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arXiv preprint, pp. 1-10, 2024. (Link) |
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12. |
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 |
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“A Meta-Review about Medical 3D Printing” |
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medRxiv preprint, pp. 1-38, 2024. (Link) |
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11. |
04/24 |
|
J. Egger, M. Sallam, G. Luijten, C. Gsaxner, A. Pepe, J. Kleesiek, B. Puladi, J. Li |
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|
“Medical ChatGPT - A systematic Meta-Review” |
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|
medRxiv preprint, pp. 1-11, 2024. (Link) |
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10. |
03/24 |
|
M. Lackner, B. Puladi, J. Kleesiek, J. Egger, J. Li |
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|
|
“A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction” |
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|
arXiv preprint, pp. 1-6, 2024. (Link) |
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9. |
03/24 |
|
A. Pepe, R. Schussnig, J. Li, C. Gsaxner, D. Schmalstieg, J. Egger |
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|
|
“Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling” |
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|
arXiv preprint, pp. 1-10, 2024. (Link) |
|
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8. |
02/24 |
|
A. C. Alves; A. Ferreira, G. Luijten, J. Kleesiek, B. Puladi, J. Egger, V. Alves |
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|
“Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review” |
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|
arXiv preprint, pp. 1-29, 2024. (Link) |
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7. |
02/24 |
|
M. Sallam, J. Egger, R. Röhrig, B. Puladi |
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|
|
“Navigating the Peril of Generated Alternative Facts: A ChatGPT-4 Fabricated Omega Variant Case as a Cautionary Tale in Medical Misinformation” |
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|
arXiv preprint, pp. 1-61, 2024. (Link) |
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6. |
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!” |
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|
|
arXiv preprint, pp. 1-9, 2023. (Link) |
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5. |
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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4. |
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” |
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|
|
arXiv preprint, pp. 1-12, 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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|
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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) |
|
|
|
|
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) |
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