Prof. Dr. Daniel Tenbrinck

Professur im Themenfeld Data Science Department of Data Science Lehrstuhl für Angewandte Mathematik (Modellierung und Numerik)

Software Phantom with Realistic Speckle Modeling for Validation of Image Analysis Methods in Echocardiography (2014) Law Y, Tenbrinck D, Jiang X, Kuhlen T Conference contribution, Conference Contribution Automatic Classification of Left Ventricular Wall Segments in Small Animal Ultrasound Imaging (2014) Ungru K, Tenbrinck D, Jiang X, Stypmann J Journal article Registration of noisy images via maximum a-posteriori estimation (2014) Suhr S, Tenbrinck D, Burger M, Modersitzki J Journal article Mathematical methods in biomedical imaging (2014) Burger M, Modersitzki J, Tenbrinck D Journal article Regional Classification of Left Ventricular Wall in Small Animal Ultrasound Imaging (2013) Tenbrinck D, Ungru K, Jiang X, Stypmann J Conference contribution, Conference Contribution Biomedical Imaging: A Computer Vision Perspective (2013) Jiang X, Dawood M, Gigengack F, Risse B, Schmid S, Tenbrinck D, Schäfers KP Conference contribution, Conference Contribution Discriminant Analysis Based Level Set Segmentation for Ultrasound Imaging (2013) Tenbrinck D, Jiang X Conference contribution, Conference Contribution Variational Methods for Medical Ultrasound Imaging (2013) Tenbrinck D Thesis Histogram-based Optical Flow for Motion Estimation in Ultrasound Imaging (2013) Tenbrinck D, Schmid S, Jiang X, Schaefers K, Stypmann J Journal article A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models (2013) Sawatzky A, Tenbrinck D, Jiang X, Burger M Journal article