Lehrstuhl für Informatik 5 (Mustererkennung)

Learning-based correspondence estimation for 2-D/3-D registration (2020) Schaffert R, Weiß M, Wang J, Borsdorf A, Maier A Conference contribution Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories (2020) Zaech JN, Gao C, Bier B, Taylor R, Maier A, Navab N, Unberath M 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 Degenerating u-net on retinal vessel segmentation: What do we really need? (2020) Fu W, Breininger K, Pan Z, Maier A Conference contribution Deep OCT angiography image generation for motion artifact suppression (2020) Hoßbach J, Husvogt L, Kraus M, Fujimoto JG, Maier A Conference contribution Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee (2020) Luckner C, Herbst M, Fuhrmann M, Ritschl L, Kappler S, Maier A Conference contribution Deep learning-based denoising of mammographic images using physics-driven data augmentation (2020) Eckert D, Vesal S, Ritschl L, Kappler S, Maier A Conference contribution Compressed sensing for optical coherence tomography angiography volume generation (2020) Husvogt L, Ploner S, Stromer D, Schottenhamml J, Moult E, Fujimoto JG, Maier A Conference contribution Open source simulation of fixational eye drift motion in oct scans: Towards better comparability and accuracy in retrospective OCT motion correction (2020) Nau MA, Nau M, Moult EM, Fujimoto JG, Maier A Conference contribution Imitation learning network for fundus image registration using a divide-and-conquer approach (2020) Bayer S, Zhong X, Fu W, Ravikumar N, Maier A Conference contribution