C. Thies

发表

A Content-Based Approach to Image Retrieval in Medical Applications

Thomas Deselaers, Benedikt Fischer, Mark Oliver Güld, 2006 .

A novel approach to region merging-based image segmentation combining local , regional , global , and hierarchical distance measures

T. Lehmann, M. Güld, C. Thies, 2005 .

Content-based access to oral and maxillofacial radiographs.

M O Güld, C Thies, T. Deserno, 2007, Dento maxillo facial radiology.

Image analysis of self-organized multicellular patterns : multicellular pattern formation on compliant elastomer surfaces as model system

C. Thies, 2016 .

Image analysis of self-organized multicellular patterns

C. Thies, R. Kemkemer, A. Zemel, 2016 .

Content Based Image Retrieval using Wavelet based MultiResolution Analysis

Jae Won Lee, A. Kak, H. Ney, 2016 .

Content-based image retrieval in medical applications for picture archiving and communication systems

Michael Kohnen, Berthold B. Wein, Daniel Keysers, 2003, SPIE Medical Imaging.

A generic concept for the implementation of medical image retrieval systems

Thomas Martin Deserno, Benedikt Fischer, Christian Thies, 2007, Int. J. Medical Informatics.

A Generic Concept for the Implementation of Medical Image Retrieval Systems

Thomas Martin Deserno, Benedikt Fischer, Christian Thies, 2005, MIE.

Content-based Image Retrieval in Medical Applications

T M Lehmann, K Spitzer, B Fischer, 2004, Methods of Information in Medicine.

Object-based modeling, identification, and labeling of medical images for content-based retrieval by querying on intervals of attribute values

Benedikt Fischer, Thomas Martin Lehmann, Christian Thies, 2005, SPIE Medical Imaging.

Content-based image analysis: object extraction by data-mining on hierarchically decomposed medical images

Til Aach, Volker H. Metzler, Christian J. Thies, 2003, SPIE Medical Imaging.

Formal extraction of biomedical objects by subgraph matching in attributed hierarchical region adjacency graphs

Til Aach, Thomas Martin Deserno, Volker H. Metzler, 2004, SPIE Medical Imaging.

Detecting Lamellipodia in Epithelial Cell Clusters Using a Fully Convolutional Neural Network for Phase Contrast Microscopy Images

C. Thies, R. Kemkemer, Cristóbal Curio, 2018, Current Directions in Biomedical Engineering.

A classification framework for content-based extraction of biomedical objects from hierarchically decomposed images

Thomas Martin Deserno, Christian Thies, Thomas Seidl, 2006, SPIE Medical Imaging.

IRMA - Content-Based Image Retrieval in Medical Applications

Thomas Martin Deserno, Daniel Keysers, Christian Thies, 2004, MedInfo.