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Lars Heiliger
Lars Heiliger
Institute for AI in Medicine (IKIM), University Hospital Essen
Verified email at uk-essen.de
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Year
The autopet challenge: towards fully automated lesion segmentation in oncologic pet/ct imaging
S Gatidis, M Früh, M Fabritius, S Gu, K Nikolaou, C La Fougère, J Ye, J He, ...
622023
Beyond Medical Imaging--A Review of Multimodal Deep Learning in Radiology
L Heiliger, A Sekuboyina, B Menze, J Egger, J Kleesiek
TechRxiv, 2022
332022
Multimodal interactive lung lesion segmentation: A framework for annotating pet/ct images based on physiological and anatomical cues
VJ Hallitschke, T Schlumberger, P Kataliakos, Z Marinov, M Kim, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
122023
Autopet challenge: Combining nn-unet with swin unetr augmented by maximum intensity projection classifier
L Heiliger, Z Marinov, M Hasin, A Ferreira, J Fragemann, K Pomykala, ...
arXiv preprint arXiv:2209.01112, 2022
112022
On the impact of cross-domain data on German language models
A Dada, A Chen, C Peng, KE Smith, A Idrissi-Yaghir, CM Seibold, J Li, ...
arXiv preprint arXiv:2310.07321, 2023
52023
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging
S Gatidis, M Früh, MP Fabritius, S Gu, K Nikolaou, CL Fougère, J Ye, J He, ...
Nature Machine Intelligence, 1-10, 2024
32024
Rexamine-global: A framework for uncovering inconsistencies in radiology report generation metrics
O Banerjee, A Saenz, K Wu, W Clements, A Zia, D Buensalido, ...
Biocomputing 2025: Proceedings of the Pacific Symposium, 185-198, 2024
12024
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
V Jasmin Hallitschke, T Schlumberger, P Kataliakos, Z Marinov, M Kim, ...
arXiv e-prints, arXiv: 2301.09914, 2023
2023
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