BVM 2022

BVM Award CHILI

"Generative Deep Learning Models for the Automatic Analysis and Synthesis of Medical Image Data Featuring Pathological Structures”

Beste wissenschaftliche Arbeiten

Platz 1: Richin Sukesh, Pattern Recognition Lab, FAU Erlangen-Nürnberg
Sukesh R., Fieselmann A., Jaganathan S., Shetty K., Kärgel R., Kordon F., Kappler S., Maier A.:
"Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes”
Platz 2: Maja Schlereth, Department Artificial Intelligence in Biomedical Engineering, FAU Erlangen-Nürnberg
Schlereth M., Stromer D., Mantri Y., Tsujimoto J., Breininger K., Maier A., Anderson C., Garimella P. S., Jokerst J. V.:
"Initial Investigations towards Non-invasive Monitoring of Chronic Wound Healing using Deep Learning and Ultrasound Imaging”
Platz 3: Mingxuan Gu, Pattern Recognition Lab, FAU Erlangen-Nürnberg
Gu M., Vesal S., Kosti R., Maier A.:
"Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation”

Vortragspreis: Michael Baumgartner, Division of Medical Image Computing, German Cancer Research Center

Baumgartner M., Jäger P. F., Isensee F., Maier-Hein K. H.:

"nnDetection: A Self-configuring Method for Medical Object Detection”

Köhler S., Sharan L., Kuhm J., Ghanaat A., Gordejeva J., Simon N.K., Grell N. M., André F., Engelhardt S.:

"Comparison of evaluation metrics for landmark detection in CMR images”