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Bastian Cheng
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2020 – today
- 2024
- [j4]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
:
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. Int. J. Comput. Assist. Radiol. Surg. 19(2): 223-231 (2024) - [j3]Debayan Bhattacharya
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. Int. J. Comput. Assist. Radiol. Surg. 19(9): 1713-1721 (2024) - [i3]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. CoRR abs/2404.18599 (2024) - 2023
- [c7]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. Computer-Aided Diagnosis 2023 - [i2]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus. CoRR abs/2303.17915 (2023) - 2022
- [j2]Marvin Petersen
Brain network architecture constrains age-related cortical thinning. NeuroImage 264: 119721 (2022) - [c6]Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. MICCAI (3) 2022: 429-438 - [i1]Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann:
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. CoRR abs/2209.01937 (2022)
2010 – 2019
- 2019
- [c5]Annika Hänsch, Bastian Cheng, Benedikt Frey, Carola Mayer, Marvin Petersen, Iris Lettow, Farhad Yazdan Shenas, Götz Thomalla
Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation. OR/MLCN@MICCAI 2019: 86-94 - 2018
- [c4]Fiona Lippert, Bastian Cheng, Amir Golsari, Florian Weiler, Johannes Gregori, Götz Thomalla
Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions. Computer-Aided Diagnosis 2018: 105752F - 2017
- [c3]René Werner, Daniel Schetelig, Thilo Sothmann
Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study. Bildverarbeitung für die Medizin 2017: 161-166 - [c2]Javier Villafruela, Sebastian Crites, Bastian Cheng, Christian Knaack, Götz Thomalla
Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning. Computer-Aided Diagnosis 2017: 101342K - 2016
- [j1]Holger Finger, Marlene Bönstrup, Bastian Cheng, Arnaud Messé
Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path. PLoS Comput. Biol. 12(8) (2016) - [c1]René Werner, Matthias Wilms, Bastian Cheng
Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM. PRNI 2016: 1-4
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