Tobias Fechter

According to our database, Tobias Fechter authored at least 12 papers between 2016 and 2024.

Collaborative distances:

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

2024

Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game.

Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Simon Spohn, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

CoRR, 2024

Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma.

Nanna E. Hartong, Ilias Sachpazidis, Oliver Blanck, Lucas Etzel, Jan C. Peeken, Stephanie E. Combs, Horst Urbach, Maxim Zaitsev, Dimos Baltas, Ilinca Popp, Anca-Ligia Grosu, Tobias Fechter

CoRR, 2024

2023

Investigation and benchmarking of U-Nets on prostate segmentation tasks.

Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Matthias Benndorf, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

Comput. Medical Imaging Graph., 2023

2022

IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels.

Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

CoRR, 2022

The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data.

Tobias Fechter, Ilias Sachpazidis, Dimos Baltas

CoRR, 2022

2021

3D-OOCS: Learning Prostate Segmentation with Inductive Bias.

Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca L. Grosu, Radu Grosu

CoRR, 2021

2020

One-Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking.

Tobias Fechter, Dimos Baltas

IEEE Trans. Medical Imaging, 2020

Measuring breathing induced oesophageal motion and its dosimetric impact.

Tobias Fechter, Sonja Adebahr, Anca-Ligia Grosu, Dimos Baltas

CoRR, 2020

Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer.

Dejan Kostyszyn, Tobias Fechter, Nico Bartl, Anca L. Grosu, Christian Gratzke, August Sigle, Michael Mix, Juri Ruf, Thomas F. Fassbender, Selina Kiefer, Alisa S. Bettermann, Nils H. Nicolay, Simon Spohn, Maria U. Kramer, Peter Bronsert, Hongqian Guo, Xuefeng Qiu, Feng Wang, Christoph Henkenberens, Rudolf A. Werner, Dimos Baltas, Philipp T. Meyer, Thorsten Derlin, Mengxia Chen, Constantinos Zamboglou

CoRR, 2020

Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition.

Marco Langhans, Tobias Fechter, Dimos Baltas, Harald Binder, Thomas Bortfeld

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

2017

A 3D fully convolutional neural network and a random walker to segment the esophagus in CT.

Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz

CoRR, 2017

2016

Visualization of Deformable Image Registration Quality Using Local Image Dissimilarity.

Matthias Schlachter, Tobias Fechter, Miro Jurisic, Tanja Schimek-Jasch, Oliver Oehlke, Sonja Adebahr, Wolfgang Birkfellner, Ursula Nestle, Katja Bühler

IEEE Trans. Medical Imaging, 2016