Chimaera GmbH

Logo Chimaera
Erlangen-based Chimaera GmbH is a certified manufacturer and service provider in the field of medical image processing software.

For more than 10 years, Chimaera GmbH has specialized in the development of innovative solutions for medical image processing and artificial intelligence (AI) applications. We provide preclinical solutions for end customers, as well as business-to-business software services for healthcare companies. We offer various key technologies such as deep learning, image segmentation and image registration. In addition to our AI services we offer ready-made post-processing SDK solutions. We develop according to the standard of DIN EN ISO 13485 and have experience with integrating our solutions into a DICOM system.
Produkte und Dienstleistungen
Artificial Intelligence
OEM Image Registration
OEM Image Segmentation
Application SDK
Preclinical Workstation
Hardware-based Optimization
HistoDigital

Your Contact Person(s)

Dr.-Ing. Dieter Hahn
Am Weichselgarten 7 91058 Erlangen
+49-9131-691 385 hahn@chimaera.de

Website

Youtube

Relationships with other organizations

Referenzen

Publications

A Gauss-Seidel Iteration Scheme for Reference-Free 3-D Histological Image Reconstruction: Gaffling, Simone; Daum, Volker; Steidl, Stefan; Maier, Andreas; Köstler, Harald; Hornegger, Joachim, A Gauss-Seidel Iteration Scheme for Reference-Free 3-D Histological Image Reconstruction, IEEE Transactions on Medical Imaging, vol. 34, no. 2, pp. 514-530, 2015

Toward Automatic Detection of Vessel Stenoses in Cerebral 3D DSA Volumes: Mualla, Firas; Prümmer, Marcus; Hahn, Dieter; Hornegger, Joachim, Toward Automatic Detection of Vessel Stenoses in Cerebral 3D DSA Volumes, Physics in Medicine and Biology, vol. 57, no. 9, pp. 2555-2573, 2012.
Computer-aided evaluation of the anatomical accuracy of hybrid SPECT/spiral-CT imaging of lesions localized in the neck and upper abdomen: Bennewitz, Christian; Kuwert, Torsten; Han, Jingfeng; Ritt, Philipp; Hahn, Dieter; Thimister, Willie; Hornegger, Joachim; Uder, Michael; Schmidt, Daniela. Computer-aided evaluation of the anatomical accuracy of hybrid SPECT/spiral-CT imaging of lesions localized in the neck and upper abdomen. Nuclear Medicine Communications. 33(11):1153-1159, November 2012.
Anatomical Accuracy of Abdominal Lesion Localization: Kiefer, Alexander; Kuwert, Torsten; Hahn, Dieter; Hornegger, Joachim; Uder, Michael; Ritt, Philipp. Anatomical Accuracy of Abdominal Lesion Localization. Nuklearmedizin 50 (2011) No. 4 pp. 141-173
Interventional 4D motion estimation and reconstruction of cardiac vasculature without motion periodicity assumption: Rohkohl, Christopher; Lauritsch, Günter; Biller, Lisa; Prümmer, Marcus; Boese, Jan; Hornegger, Joachim, Interventional 4D motion estimation and reconstruction of cardiac vasculature without motion periodicity assumption, Medical Image Analysis, vol. 14, no. 5, pp. 687-694, 2010.

Automatic Parameter Selection for Multi-Modal Image Registration: Hahn, Dieter; Daum, Volker; Hornegger, Joachim. Automatic Parameter Selection for Multi-Modal Image Registration. In: IEEE Transactions on Medical Imaging 29 (2010) No. 5 pp. 1140-1155

Cardiac C-arm CT: a unified framework for motion estimation and dynamic CT: Prümmer, Marcus; Hornegger, Joachim. Cardiac C-arm CT: a unified framework for motion estimation and dynamic CT. In: IEEE Transactions on Medical Imaging 28 (2009) No. 11 pp. 1836-49

Segmentation of kidneys using a new active shape model generation technique based on non-rigid image registration: Spiegel, Martin; Hahn, Dieter; Daum, Volker; Wasza, Jakob; Hornegger, Joachim. Segmentation of kidneys using a new active shape model generation technique based on non-rigid image registration. In: Computerized Medical Imaging and Graphics 33 (2009) No. 1 pp. 29-39