Eren Bora Yilmaz

According to our database, Eren Bora Yilmaz authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Automated Tooth Instance Segmentation and Pathology Annotation Pipeline for Panoramic Radiographs - Mask-R-CNN Approach with Elastic Transformations.

Christopher J. Hansen, Jonas Conrad, Ronald Seidel, Nicolai R. Krekiehn, Eren Bora Yilmaz, Niklas Koser, Martin Götze, Toni Gehrmann, Sebastian Lauterbach, Christian Graetz, Christof Dörfer, Claus C. Glüer

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Towards fracture risk assessment by deep-learning-based classification of prevalent vertebral fractures.

Eren Bora Yilmaz, Tobias Fricke, Julian Laue, Constanze Polzer, Sam Sedaghat, Jan-Bernd Hövener, Claus-Christian Glüer, Carsten Meyer

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

Automated Deep-learning-based Vertebral Body Localization and Instance Segmentation for Osteoporosis Assessment using CT.

Nicolai R. Krekiehn, Eren Bora Yilmaz, Hannes C. Kruse, Carsten Meyer, Claus-Christian Glüer

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Automated Thrombus Segmentation in Stroke NCCT Incorporating Clinical Data.

Alexandra Ertl, Philipp Maas, Wiebke Rudolph, Johanna Rümenapp, Eren Bora Yilmaz, Claus-Christian Glüer, Olav Jansen, Michael Müller

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab.

Hellena Hempe, Eren Bora Yilmaz, Carsten Meyer, Mattias P. Heinrich

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Automated Deep Learning-Based Detection of Osteoporotic Fractures in CT Images.

Eren Bora Yilmaz, Christian Bürger, Tobias Fricke, Md Motiur Rahman Sagar, Jaime Peña, Cristian Lorenz, Claus-Christian Glüer, Carsten Meyer

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers.

Eren Bora Yilmaz, Alexander Oliver Mader, Tobias Fricke, Jaime Peña, Claus-Christian Glüer, Carsten Meyer

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020