Prof. Dr.-Ing. Andreas Maier

Lehrstuhl für Informatik 5 (Mustererkennung)

Metal-conscious Embedding for CBCT Projection Inpainting (2023) Fan F, Wang Y, Ritschl L, Biniazan R, Beister M, Kreher BW, Huang Y, et al. Conference contribution Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples (2023) Rivera Monroy L, Rist L, Eberhardt M, Ostalecki C, Baur A, Vera J, Breininger K, Maier A Conference contribution Fully automated AI-based cardiac motion parameter extraction – application to mitral and tricuspid valves on long-axis cine MR images (2023) Yoon SS, Fischer C, Amsel D, Monzon M, Toupin S, Pezel T, Garot J, et al. Journal article Impact of Including Pathological Speech in Pre-training on Pathology Detection (2023) Weise T, Maier A, Demir KC, Pérez Toro PA, Arias Vergara T, Heismann B, Nöth E, et al. Conference contribution Federated learning for secure development of AI models for Parkinson’s disease detection using speech from different languages (2023) Tayebi Arasteh S, Rios-Urrego CD, Nöth E, Maier A, Yang SH, Rusz J, Rafael Orozco-Arroyave J Conference contribution, Conference Contribution PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray Images (2023) Yang SH, Demir KC, Weise T, Schmid A, May M, Maier A Conference contribution, Conference Contribution Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach (2023) Hung H, Pérez Toro PA, Arias Vergara T, Maier A, Nöth E Conference contribution Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features (2023) Pérez Toro PA, Arias Vergara T, Braun F, Hönig F, Tobón-Quintero CA, Aguillón D, Lopera F, et al. Conference contribution A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet (2023) Sindel A, Maier A, Christlein V Conference contribution Detection and prediction of background parenchymal enhancement on breast MRI using deep learning (2023) Das BK, Kapsner L, Ohlmeyer S, Laun FB, Maier A, Uder M, Wenkel E, et al. Conference contribution