Bastian Cheng

According to our database, Bastian Cheng authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.

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

Int. J. Comput. Assist. Radiol. Surg., September, 2024

Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.

Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., February, 2024

2023

Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus.

Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

Brain network architecture constrains age-related cortical thinning.

Marvin Petersen, Felix L. Nägele, Carola Mayer, Maximilian Schell, D. Leander Rimmele, Elina Petersen, Simone Kühn, Jürgen Gallinat, Uta Hanning, Jens Fiehler, Raphael Twerenbold, Christian Gerloff, Götz Thomalla, Bastian Cheng

NeuroImage, 2022

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2019

Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation.

Annika Hänsch, Bastian Cheng, Benedikt Frey, Carola Mayer, Marvin Petersen, Iris Lettow, Farhad Yazdan Shenas, Götz Thomalla, Jan Klein, Horst K. Hahn

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

2018

Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions.

Fiona Lippert, Bastian Cheng, Amir Golsari, Florian Weiler, Johannes Gregori, Götz Thomalla, Jan Klein

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning.

Javier Villafruela, Sebastian Crites, Bastian Cheng, Christian Knaack, Götz Thomalla, Bijoy K. Menon, Nils Daniel Forkert

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study.

René Werner, Daniel Schetelig, Thilo Sothmann, Eike Mücke, Matthias Wilms, Bastian Cheng, Nils Daniel Forkert

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

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.

Holger Finger, Marlene Bönstrup, Bastian Cheng, Arnaud Messé, Claus C. Hilgetag, Götz Thomalla, Christian Gerloff, Peter König

PLoS Comput. Biol., 2016

Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM.

René Werner, Matthias Wilms, Bastian Cheng, Nils Daniel Forkert

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016