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Tobias Fechter

Showing results (1-10 of 33) with videos related to

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IEEE Transactions on Medical Imaging|February 15, 2020
One-Shot Learning for Deformable Medical Image Registration and Periodic Motion TrackingTobias Fechter, Dimos Baltas
Zeitschrift Fur Medizinische Physik|November 14, 2022
The use of deep learning in interventional radiotherapy (brachytherapy): A review with a focus on open source and open dataTobias Fechter, Ilias Sachpazidis, Dimos Baltas
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|June 21, 2021
Measuring breathing induced oesophageal motion and its dosimetric impactTobias Fechter, Sonja Adebahr, Anca-Ligia Grosu, et al.
EJNMMI Physics|June 12, 2021
Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic featuresMontserrat Carles, Tobias Fechter, Luis Martí-Bonmatí, et al.
Medical Physics|September 24, 2017
Esophagus segmentation in CT via 3D fully convolutional neural network and random walkTobias Fechter, Sonja Adebahr, Dimos Baltas, et al.
Journal of Applied Clinical Medical Physics|October 31, 2017
Visualization of 4D multimodal imaging data and its applications in radiotherapy planningMatthias Schlachter, Tobias Fechter, Sonja Adebahr, et al.
Physics in Medicine and Biology|November 19, 2015
Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validationMontserrat Carles, Tobias Fechter, Ursula Nemer, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 18, 2023
Investigation and benchmarking of U-Nets on prostate segmentation tasksShrajan Bhandary, Dejan Kuhn, Zahra Babaiee, et al.
IEEE Transactions on Medical Imaging|May 11, 2016
Visualization of Deformable Image Registration Quality Using Local Image DissimilarityMatthias Schlachter, Tobias Fechter, Miro Jurisic, et al.
European Radiology|June 18, 2024
Correction: Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensationMontserrat Carles, Dejan Kuhn, Tobias Fechter, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Medical Imaging|February 15, 2020
One-Shot Learning for Deformable Medical Image Registration and Periodic Motion TrackingTobias Fechter, Dimos Baltas
Zeitschrift Fur Medizinische Physik|November 14, 2022
The use of deep learning in interventional radiotherapy (brachytherapy): A review with a focus on open source and open dataTobias Fechter, Ilias Sachpazidis, Dimos Baltas
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|June 21, 2021
Measuring breathing induced oesophageal motion and its dosimetric impactTobias Fechter, Sonja Adebahr, Anca-Ligia Grosu, et al.
EJNMMI Physics|June 12, 2021
Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic featuresMontserrat Carles, Tobias Fechter, Luis Martí-Bonmatí, et al.
Medical Physics|September 24, 2017
Esophagus segmentation in CT via 3D fully convolutional neural network and random walkTobias Fechter, Sonja Adebahr, Dimos Baltas, et al.
Journal of Applied Clinical Medical Physics|October 31, 2017
Visualization of 4D multimodal imaging data and its applications in radiotherapy planningMatthias Schlachter, Tobias Fechter, Sonja Adebahr, et al.
Physics in Medicine and Biology|November 19, 2015
Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validationMontserrat Carles, Tobias Fechter, Ursula Nemer, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 18, 2023
Investigation and benchmarking of U-Nets on prostate segmentation tasksShrajan Bhandary, Dejan Kuhn, Zahra Babaiee, et al.
IEEE Transactions on Medical Imaging|May 11, 2016
Visualization of Deformable Image Registration Quality Using Local Image DissimilarityMatthias Schlachter, Tobias Fechter, Miro Jurisic, et al.
European Radiology|June 18, 2024
Correction: Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensationMontserrat Carles, Dejan Kuhn, Tobias Fechter, et al.
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