2023 - Research.com Computer Science in Germany Leader Award
His study on Mathematical optimization is interrelated to topics such as Quadratic programming and Subgradient method. Joachim Hornegger performs multidisciplinary study in Quadratic programming and Convex optimization in his work. He brings together Subgradient method and Convex optimization to produce work in his papers. His Artificial intelligence study typically links adjacent topics like Data set. Computer vision is frequently linked to Stereoscopy in his study. While working on this project, Joachim Hornegger studies both Iterative reconstruction and Imaging phantom. Joachim Hornegger undertakes interdisciplinary study in the fields of Imaging phantom and Iterative reconstruction through his research. His Radiology study frequently draws connections to other fields, such as Stent. His multidisciplinary approach integrates Stent and Angiography in his work.
His Image (mathematics) study is focused on Image quality, Noise (video) and Image registration. His Image (mathematics) research extends to the thematically linked field of Noise (video). Joachim Hornegger combines Artificial intelligence and Machine learning in his research. In his articles, Joachim Hornegger combines various disciplines, including Machine learning and Artificial intelligence. His Computer vision study frequently links to adjacent areas such as Filter (signal processing). Filter (signal processing) and Computer vision are commonly linked in his work. He carries out multidisciplinary research, doing studies in Radiology and Iterative reconstruction. In his research, he undertakes multidisciplinary study on Iterative reconstruction and Radiology. He combines topics linked to Optics with his work on Imaging phantom.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Split-spectrum amplitude-decorrelation angiography with optical coherence tomography
Yali Jia;Ou Tan;Jason Tokayer;Benjamin Potsaid.
Optics Express (2012)
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva.
IEEE Transactions on Medical Imaging (2009)
Quantitative optical coherence tomography angiography of vascular abnormalities in the living human eye
Yali Jia;Steven T. Bailey;Thomas S. Hwang;Scott M. McClintic.
Proceedings of the National Academy of Sciences of the United States of America (2015)
Glaucoma risk index: Automated glaucoma detection from color fundus images
Rüdiger Bock;Jörg Meier;László G. Nyúl;Joachim Hornegger.
Medical Image Analysis (2010)
Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns
Martin F. Kraus;Benjamin Potsaid;Markus A. Mayer;Ruediger Bock.
Biomedical Optics Express (2012)
Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database
Jan Odstrcilik;Radim Kolar;Attila Budai;Joachim Hornegger.
Iet Image Processing (2013)
Robust Vessel Segmentation in Fundus Images
Attila Budai;Rüdiger Bock;Andreas K. Maier;Joachim Hornegger.
International Journal of Biomedical Imaging (2013)
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
Nassir Navab;Joachim Hornegger;William M. Wells;Alejandro F. Frangi.
Fast GPU-Based CT Reconstruction using the Common Unified Device Architecture (CUDA)
H. Scherl;B. Keck;M. Kowarschik;J. Hornegger.
ieee nuclear science symposium (2007)
Quantitative Accuracy of Clinical 99mTc SPECT/CT Using Ordered-Subset Expectation Maximization with 3-Dimensional Resolution Recovery, Attenuation, and Scatter Correction
Johannes Zeintl;Alexander Hans Vija;Amos Yahil;Joachim Hornegger.
The Journal of Nuclear Medicine (2010)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: