Dennis Eggert

According to our database, Dennis Eggert authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

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

Squeeze and multi-context attention for polyp segmentation.

Debayan Bhattacharya, Dennis Eggert, Christian Betz, Alexander Schlaefer

Int. J. Imaging Syst. Technol., January, 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

Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.

Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

Self-supervised U-Net for segmenting flat and sessile polyps.

Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2020

Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification.

Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection.

Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020