Bastian Cheng

Orcid: 0000-0003-2434-1822

According to our database1, Bastian Cheng authored at least 11 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg., February, 2024

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
CoRR, 2024

2023
Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
Brain network architecture constrains age-related cortical thinning.
NeuroImage, 2022

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.
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.
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.
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.
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.
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.
PLoS Comput. Biol., 2016

Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016


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