Benjamin Haas

According to our database, Benjamin Haas authored at least 10 papers between 2015 and 2020.

Collaborative distances:

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

2020

Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy.

Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann

Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Deep-learning-based CT-CBCT image registration for adaptive radio therapy.

Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Learning a Loss Function for Segmentation: A Feasibility Study.

Jan Hendrik Moltz, Annika Hänsch, Bianca Lassen-Schmidt, Benjamin Haas, A. Genghi, J. Schreier, Tomasz Morgas, Jan Klein

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy.

Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations.

Volker Dicken, Annika Hänsch, Jan Hendrik Moltz, Benjamin Haas, Thomas Coradi, Tomasz Morgas, Jan Klein

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning.

Annika Hänsch, Volker Dicken, Jan Klein, Tomasz Morgas, Benjamin Haas, Horst K. Hahn

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

Comparison of different deep learning approaches for parotid gland segmentation from CT images.

Annika Hänsch, Michael Schwier, Tobias Gass, Tomasz Morgas, Benjamin Haas, Jan Klein, Horst K. Hahn

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

2016

Dynamic Bayesian Networks to simulate occupant behaviours in office buildings related to indoor air quality.

Khadija Tijani, Stéphane Ploix, Benjamin Haas, Julie Dugdale, Quoc Dung Ngo

CoRR, 2016

2015

Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings.

Khadija Tijani, Quoc Dung Ngo, Stéphane Ploix, Benjamin Haas, Julie Dugdale

CoRR, 2015

Comparison between purely statistical and multi-agent based ap-proaches for occupant behaviour modeling in buildings.

Khadija Tijani, Ayesha Kashif, Stéphane Ploix, Benjamin Haas, Julie Dugdale

CoRR, 2015