Siemens Healthcare Gmbh

Siemens Healthineers Ag

Nicolas Von Roden

Ali Kamen

Berthold Kiefer

Bin Lou

Robert Grimm

Mamadou Diallo

Heinrich Von Busch

David Jean Winkel

Bibo Shi

Tongbai Meng

Xin Yu

Dorin Comaniciu

Ahmet Tuysuzoglu

Kareem Abdelrahman

Systems and methods are provided for optimizing a deep learning model. A multi-site dataset associated with different clinical sites and a deployment dataset associated with a deployment clinical site are received. A deep learning model is trained based on the multi-site dataset. The trained deep learning model is optimized based on the deployment dataset. The optimized trained deep learning model is output.

Localization and classification of abnormalities in medical images

Systems and methods are provided for classifying an abnormality in a medical image. An input medical image depicting a lesion is received. The lesion is localized in the input medical image using a trained localization network to generate a localization map. The lesion is classified based on the input medical image and the localization map using a trained classification network. The classification of the lesion is output. The trained localization network and the trained classification network are jointly trained.

Growing community of inventors

St. Gallen, Switzerland

Nicolas Von Roden