Lehrstuhl für Informatik 5 (Mustererkennung)

Fan-to-Parallel Beam Conversion: Deriving Neural Network Architectures Using Precision Learning (2019) Syben-Leisner C, Stimpel B, Lommen J, Würfl T, Dörfler A, Maier A Conference contribution, Abstract of lecture A 2D dilated residual U-net for multi-organ segmentation in thoracic CT (2019) Vesal S, Ravikumar N, Maier A Conference contribution Noise reduction method in low-dose CT data combining neural networks and an iterative reconstruction technique (2019) Choi D, Kim J, Chae SH, Baek J, Maier A, Fahrig R, Park HS, Choi JH Conference contribution Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI (2019) Vesal S, Ravikumar N, Maier A Conference contribution Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views (2019) Bier B, Goldmann F, Zaech JN, Fotouhi J, Hegeman R, Grupp R, Armand M, et al. Journal article Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration (2019) Chen S, Gehrer S, Kaliman S, Ravikumar N, Becit A, Aliee M, Dudziak D, et al. Conference contribution A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model (2019) Zhong X, Strobel N, Birkhold A, Kowarschik M, Fahrig R, Maier A Journal article Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus (2019) Maier J, Black M, Hall M, Choi JH, Levenston M, Gold G, Fahrig R, et al. Conference contribution Assessment of measurement deviations: length-extended x-ray imaging for orthopedic applications (2019) Luckner C, Magdalena H, Ritschl L, Maier A, Kappler S Conference contribution Combining Ultrasound and X-Ray Imaging for Mammography (2019) Li Q, Luckner C, Hertel M, Radicke M, Maier A Book chapter / Article in edited volumes