Lehrstuhl für Informatik 5 (Mustererkennung)

RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting (2020) Hoppe E, Thamm F, Koerzdoerfer G, Syben-Leisner C, Nittka M, Pfeuffer J, Meyer H, Maier A Conference contribution, Abstract of lecture Field of View Extension in Computed Tomography Using Deep Learning Prior (2020) Huang Y, Gao L, Preuhs A, Maier A Conference contribution, Original article Deep autofocus with cone-beam CT consistency constraint (2020) Preuhs A, Manhart M, Roser P, Stimpel B, Syben-Leisner C, Psychogios M, Kowarschik M, Maier A Conference contribution, Original article ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees (2020) Rodriguez Salas D, Ravikumar N, Seuret M, Maier A Conference contribution, Conference Contribution Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval (2020) Bootwala A, Breininger K, Maier A, Christlein V Book chapter / Article in edited volumes Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT (2020) Maier J, Rivera Monroy LC, Syben-Leisner C, Jeon Y, Choi JH, Hall M, Levenston M, et al. Book chapter / Article in edited volumes Multi-Task Framework for X-Ray Guided Planning in Knee Surgery (2020) Kordon F, Fischer P, Privalov M, Swartman B, Schnetzke M, Franke J, Lasowski R, et al. Conference contribution, Abstract of a poster Font Augmentation: Implant and Surgical Tool Simulation for X-Ray Image Processing (2020) Kordon F, Maier A, Swartman B, Kunze H Conference contribution, Conference Contribution Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment - Learning New Tricks from Old Dogs (2020) Aubreville M, Bertram CA, Jabari S, Marzahl C, Klopfleisch R, Maier A Book chapter / Article in edited volumes How Big is Big Enough?: A Large-Scale Histological Dataset of Mitotic Figures (2020) Bertram CA, Aubreville M, Marzahl C, Maier A, Klopfleisch R Conference contribution, Abstract of lecture