no code implementations • 19 Oct 2024 • Prajol Shrestha, Mikhail Kulyabin, Aline Sindel, Hilde R. Pedersen, Stuart Gilson, Rigmor Baraas, Andreas Maier
Accurate detection and segmentation of cone cells in the retina are essential for diagnosing and managing retinal diseases.
no code implementations • 27 Aug 2024 • Mikhail Kulyabin, Aline Sindel, Hilde Pedersen, Stuart Gilson, Rigmor Baraas, Andreas Maier
Analyzing the cone photoreceptor pattern in images obtained from the living human retina using quantitative methods can be crucial for the early detection and management of various eye conditions.
no code implementations • 5 Jun 2023 • Aline Sindel, Andreas Maier, Vincent Christlein
Unpaired image-to-image translation of retinal images can efficiently increase the training dataset for deep-learning-based multi-modal retinal registration methods.
1 code implementation • 17 Oct 2022 • Aline Sindel, Andreas Maier, Vincent Christlein
Facial landmark detection plays an important role for the similarity analysis in artworks to compare portraits of the same or similar artists.
no code implementations • 18 Aug 2022 • Aline Sindel, Andreas Maier, Vincent Christlein
For art investigations of paintings, multiple imaging technologies, such as visual light photography, infrared reflectography, ultraviolet fluorescence photography, and x-radiography are often used.
no code implementations • 21 Jul 2022 • Aline Sindel, Bettina Hohberger, Andreas Maier, Vincent Christlein
Our method extracts convolutional features from the vessel structure for keypoint detection and description and uses a graph neural network for feature matching.
1 code implementation • 7 Feb 2022 • Aline Sindel, Abner Hernandez, Seung Hee Yang, Vincent Christlein, Andreas Maier
With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming.
no code implementations • 6 Jan 2022 • Aline Sindel, Bettina Hohberger, Sebastian Fassihi Dehcordi, Christian Mardin, Robert Lämmer, Andreas Maier, Vincent Christlein
Our method demonstrates the best registration performance on our and a public multi-modal dataset in comparison to competing methods.
1 code implementation • 15 Feb 2018 • Aline Sindel, Katharina Breininger, Johannes Käßer, Andreas Hess, Andreas Maier, Thomas Köhler
We customize features suitable for volumetric MRI to train the random forest and propose a median tree ensemble for robust regression.