Roman Schaffert

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Form Follows Function: Smart Network Design Enables Zero-shot Network Reuse (2022) Fu W, Husvogt L, Breininger K, Schaffert R, Abu-Qamar O, Fujimoto JG, Maier A Conference contribution “Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging (2021) Fu W, Breininger K, Schaffert R, Pan Z, Maier A Journal article Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences (2020) Schaffert R, Wang J, Fischer P, Borsdorf A, Maier A Journal article Learning-based correspondence estimation for 2-D/3-D registration (2020) Schaffert R, Weiß M, Wang J, Borsdorf A, Maier A Conference contribution Learning-based misalignment detection for 2-D/3-D overlays (2020) Schaffert R, Wang J, Fischer P, Borsdorf A, Maier A Conference contribution Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model (2020) Schaffert R, Wang J, Fischer P, Maier A, Borsdorf A Journal article A Divide-and-Conquer Approach towards Understanding Deep Networks (2019) Fu W, Breininger K, Schaffert R, Ravikumar N, Maier A Conference contribution, Original article Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration (2019) Schaffert R, Wang J, Fischer P, Borsdorf A, Maier A Conference contribution Frangi-Net: A Neural Network Approach to Vessel Segmentation (2018) Fu W, Breininger K, Schaffert R, Ravikumar N, Würfl T, Fujimoto JG, Moult EM, Maier A Conference contribution, Original article An anthropomorphic deformable phantom for brain shift simulation (2018) Bayer S, Wydra A, Zhong X, Ravikumar N, Strumia M, Schaffert R, Ostermeier M, et al. Conference contribution