Tobias Fechter

Orcid: 0000-0001-6271-9385

According to our database1, Tobias Fechter authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game.
CoRR, 2024

Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma.
CoRR, 2024

2023
Investigation and benchmarking of U-Nets on prostate segmentation tasks.
Comput. Medical Imaging Graph., 2023

2022
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels.
CoRR, 2022

The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data.
CoRR, 2022

2021
3D-OOCS: Learning Prostate Segmentation with Inductive Bias.
CoRR, 2021

2020
One-Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking.
IEEE Trans. Medical Imaging, 2020

Measuring breathing induced oesophageal motion and its dosimetric impact.
CoRR, 2020

Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer.
CoRR, 2020

Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition.
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.
CoRR, 2017

2016
Visualization of Deformable Image Registration Quality Using Local Image Dissimilarity.
IEEE Trans. Medical Imaging, 2016


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