AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier. - Lars Heiliger; Zdravko Marinov; André Ferreira; Jana Fragemann; Jacob Murray; David Kersting; Rainer Stiefelhagen; Jens Kleesiek (CoRR, 2022)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Seibold; Jianning Li 002; Lars Heiliger; Christoph M. Friedrich; Daniel Truhn; Jan Egger; Jiang Bian 001; et al. (EMNLP (Findings), 2023)

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. - Verena Jasmin Hallitschke; Tobias Schlumberger; Philipp Kataliakos; Zdravko Marinov; Moon Kim 002; Lars Heiliger; Constantin Seibold; Jens Kleesiek; Rainer Stiefelhagen (ISBI, 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Marc Seibold; Jianning Li 002; Lars Heiliger; Xi Yang 015; Christoph M. Friedrich; Daniel Truhn; Jan Egger; et al. (CoRR, 2023)

ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics. - Oishi Banerjee; Agustina Saenz; Kay Wu; Warren Clements; Adil Zia; Dominic Buensalido; Helen Kavnoudias; Alain S. Abi-Ghanem; Nour El Ghawi; Cibele Luna; Patricia Castillo; Khaled Al-Surimi; et al. (CoRR, 2024)

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. - Sergios Gatidis; Marcel Früh; Matthias Fabritius; Sijing Gu; Konstantin Nikolaou; Christian La Fougère; Jin Ye 002; Junjun He; Yige Peng; Lei Bi 001; Jun Ma 016; Bo Wang 044; et al. (Nat. Mac. Intell., 2024)