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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, 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. 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. Medical Imaging: 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, 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:
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, Anna Sophie Hoffmann:
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, Jan Klein, Horst K. Hahn:
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, Jan Klein:
Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions. Medical Imaging: Computer-Aided Diagnosis 2018: 105752F - 2017
- [c3]René Werner, Daniel Schetelig, Thilo Sothmann, Eike Mücke, Matthias Wilms, Bastian Cheng, Nils Daniel Forkert:
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, Bijoy K. Menon, Nils Daniel Forkert:
Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning. Medical Imaging: Computer-Aided Diagnosis 2017: 101342K - 2016
- [j1]Holger Finger, Marlene Bönstrup, Bastian Cheng, Arnaud Messé, Claus C. Hilgetag, Götz Thomalla, Christian Gerloff, Peter König:
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, Nils Daniel Forkert:
Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM. PRNI 2016: 1-4
Coauthor Index
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