Tobias Fechter

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep-Learning Atlas Registration for Melanoma Brain Metastases: Preserving Pathology While Enabling Cohort-Level Analyses. CoRR Nanna E. Wielenberg, Ilinca Popp, Oliver Blanck, Lucas Zander, Jan C. Peeken, Stephanie E. Combs, Anca-Ligia Grosu, Dimos Baltas, Tobias Fechter
2025	J	`jnl`	A framework to create, evaluate and select synthetic datasets for survival prediction in oncology. Comput. Biol. Medicine A. T. Christoforou, Simon Spohn, T. Sprave, Tobias Fechter, Alexander Rühle, Nils H. Nicolay, Ilinca Popp, Anca L. Grosu, Jan Peeken, A. H. Thieme, Triantafyllos Stylianopoulos, I. Strouthos, K. Ferentinos, Yiannis Roussakis, Constantinos Zamboglou
2024	J	`jnl`	Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma. CoRR 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
2024	J	`jnl`	Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game. CoRR Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Simon Spohn, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu
2023	J	`jnl`	Investigation and benchmarking of U-Nets on prostate segmentation tasks. Comput. Medical Imaging Graph. Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Matthias Benndorf, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu
2022	J	`jnl`	IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels. CoRR Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu
2022	J	`jnl`	The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data. CoRR Tobias Fechter, Ilias Sachpazidis, Dimos Baltas
2021	J	`jnl`	3D-OOCS: Learning Prostate Segmentation with Inductive Bias. CoRR Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca L. Grosu, Radu Grosu
2020	—	`conf`	Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition. MICCAI (Challenges) Marco Langhans, Tobias Fechter, Dimos Baltas, Harald Binder, Thomas Bortfeld
2020	J	`jnl`	Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer. CoRR 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
2020	J	`jnl`	Measuring breathing induced oesophageal motion and its dosimetric impact. CoRR Tobias Fechter, Sonja Adebahr, Anca-Ligia Grosu, Dimos Baltas
2020	J	`jnl`	One-Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking. IEEE Trans. Medical Imaging Tobias Fechter, Dimos Baltas
2019	J	`jnl`	One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking. CoRR Tobias Fechter, Dimos Baltas
2017	J	`jnl`	A 3D fully convolutional neural network and a random walker to segment the esophagus in CT. CoRR Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz
2016	J	`jnl`	Visualization of Deformable Image Registration Quality Using Local Image Dissimilarity. IEEE Trans. Medical Imaging Matthias Schlachter, Tobias Fechter, Miro Jurisic, Tanja Schimek-Jasch, Oliver Oehlke, Sonja Adebahr, Wolfgang Birkfellner, Ursula Nestle, Katja Bühler