Prof. Dr. Daniel Tenbrinck

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

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 Impact of physical noise modeling on image segmentation in echocardiography (2012) Tenbrinck D, Sawatzky A, Jiang X, Burger M, Haffner W, Willems P, Paul M, Stypmann J Conference contribution Histogram-Based Optical Flow for Functional Imaging in Echocardiography (2011) Schmid S, Tenbrinck D, Jiang X, Schaefers KP, Tiemann K Conference contribution, Conference Contribution