Publications
2025
International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs
Emma Chen, Agustina Saenz, Oishi Banerjee, Henrik Marklund, Xiaoman Zhang, Shreya Johri, Hong-Yu Zhou, Luyang Luo, Subathra Adithan, Kay Wu, Siddhant Dogra, Vijay Janapa Reddi, Dominic Buensalido, Helen Kavnoudias, Roman Kloeckner, Lukas Müller, Emmanuel Salinas-Miranda, Maria José Veloza Vega, Johannes Kolck, Tobias Penzkofer, Daiju Ueda, Shannon L. Walston, Armin Alvaro Quispe-Cornejo, Michele Salvagno, Christopher Lee, Jonathan Fournier, Rosa Patricia Castillo, Cibele Luna, Tara Bahramipour, Amanda Zuback, Rickmer Braren, Petra Jiraskova, Yutthaphan Wannasopha, Piyapong Khumrin, Desmond Lim Shi Wei Wei, James Thomas Patrick Decourcy Hallinan, Zhicheng Jiao, Thomas Yi, Juana Maria Plasencia Martinez, Nuria Isabel Casado Alarcon, Franz A. Fellner, Julian F. Niedermair, Derek Wu, Dongkeun Kim, Johannes Haubold, Lars Heiliger, Daniel Pérez-Chada, Pablo Pratesi, Ryan Cummings, Narges Razavian, Anastasia Oikonomou, William T. Tran, Thomas Küstner, Saif Afat, Adrienne N. Dula, Justin F. Rousseau, Franko Hržić, Michael Fuchsjäger, Pranav Rajpurkar
NEJM AI 2024
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging
Sergios Gatidis, Marcel Früh, Matthias P. Fabritius, Sijing Gu, Konstantin Nikolaou, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner
Nature Machine Intelligence
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, Rayyan A. Daghistani, Yuh-Min Chen, Heng-sheng Chao, Lars Heiliger, Moon-Sung Kim, Johannes Haubold, Frederic Jonske, Pranav Rajpurkar
arXiv preprint arXiv:2408.16208 2023
The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging
Sergios Gatidis, Marcel Früh, , Matthias Fabritius, Sijing Gu, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazolli, Mehdi Astaraki, Bernhard Schölkopf, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner
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-Sung Kim, 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, Kaleb Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu 2022
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier
Lars Heiliger, Zdravko Marinov, André Ferreira, Jana Fragemann, Jacob M. Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek
arXiv
Beyond Medical Imaging-A Review of Multimodal Deep Learning in Radiology
Lars Heiliger, Anjany Sekuboyina, Björn Menze, Jan Egger, Jens Kleesiek
TechRxiv 
