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Tobias Fechter

Informatiker

Name	Tobias Fechter
Place	Wien (Geburtsort) Freiburg im Breisgau (Wirkungsort) Österreich Deutschland
Academic degree	Dr.
Profession	Informatiker (characteristic profession) Ingenieur Arzt
Variant	T. Fechter
Further information	Diplomarbeit, 2011, Medizinische Informatik, Fakultät für Informatik der Technischen Universität Wien Dissertation 2022, Universität Freiburg, Medizinische Fakultät
Record type	Person
GND-Identifier	1123819696
Record ID	1123819696
Involved in show all The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET 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 compensation 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 compensation A student trained convolutional neural network competing with a commercial AI software and experts in organ at risk segmentation 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 compensation 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 compensation The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data Interobserver agreement on definition of the target volume in stereotactic radiotherapy for pancreatic adenocarcinoma using different imaging modalities Deep Learning based automated delineation of the intraprostatic gross tumour volume in PSMA-PET for patients with primary prostate cancer Interobserver agreement on definition of the target volume in stereotactic radiotherapy for pancreatic adenocarcinoma using different imaging modalities Investigation and benchmarking of U-Nets on prostate segmentation tasks Individuelle Ermittlung der Bewegung und der Strahlenbelastung des Ösophagus während der Strahlentherapie durch neue Bildverarbeitungsalgorithmen = Advanced image processing tools for motion and dose exposure estimations of the esophagus in radiotherapy Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic features 18F-FMISO-PET hypoxia monitoring for head-and-neck cancer patients: radiomics analyses predict the outcome of chemo-radiotherapy Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic features FDG-PET radiomics for response monitoring in non-small-cell lung cancer treated with radiation therapy Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies Dosimetric impact of the positional imaging frequency for hypofractionated prostate radiotherapy – a voxel-by-voxel analysis Dosimetric impact of interfractional variations for post-prostatectomy radiotherapy to the prostatic fossa - relevance for the frequency of position verification imaging and treatment adaptation Dosimetric impact of interfractional variations in prostate cancer radiotherapy - implications for imaging frequency and treatment adaptation Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate- and high-risk prostate cancer - a comparison study with histology reference Comparison of PET/CT and whole-mount histopathology sections of the human prostate: a new strategy for voxel-wise evaluation Visualization of 4D multimodal imaging data and its applications in radiotherapy planning 68Ga-HBED-CC-PSMA PET/CT versus histopathology In primary localized prostate cancer: a voxel-wise comparison 3 Tesla multiparametric MRI for GTV-definition of Dominant Intraprostatic Lesions in patients with Prostate Cancer – an interobserver variability study

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Tobias Fechter

The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET

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 compensation

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 compensation

A student trained convolutional neural network competing with a commercial AI software and experts in organ at risk segmentation

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 compensation

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 compensation

The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET

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

Interobserver agreement on definition of the target volume in stereotactic radiotherapy for pancreatic adenocarcinoma using different imaging modalities

Deep Learning based automated delineation of the intraprostatic gross tumour volume in PSMA-PET for patients with primary prostate cancer

Interobserver agreement on definition of the target volume in stereotactic radiotherapy for pancreatic adenocarcinoma using different imaging modalities

Investigation and benchmarking of U-Nets on prostate segmentation tasks

Individuelle Ermittlung der Bewegung und der Strahlenbelastung des Ösophagus während der Strahlentherapie durch neue Bildverarbeitungsalgorithmen = Advanced image processing tools for motion and dose exposure estimations of the esophagus in radiotherapy

Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic features

18F-FMISO-PET hypoxia monitoring for head-and-neck cancer patients: radiomics analyses predict the outcome of chemo-radiotherapy

Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic features

FDG-PET radiomics for response monitoring in non-small-cell lung cancer treated with radiation therapy

Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies

Dosimetric impact of the positional imaging frequency for hypofractionated prostate radiotherapy – a voxel-by-voxel analysis

Dosimetric impact of interfractional variations for post-prostatectomy radiotherapy to the prostatic fossa - relevance for the frequency of position verification imaging and treatment adaptation

Dosimetric impact of interfractional variations in prostate cancer radiotherapy - implications for imaging frequency and treatment adaptation

Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate- and high-risk prostate cancer - a comparison study with histology reference

Comparison of PET/CT and whole-mount histopathology sections of the human prostate: a new strategy for voxel-wise evaluation

Visualization of 4D multimodal imaging data and its applications in radiotherapy planning

68Ga-HBED-CC-PSMA PET/CT versus histopathology In primary localized prostate cancer: a voxel-wise comparison

3 Tesla multiparametric MRI for GTV-definition of Dominant Intraprostatic Lesions in patients with Prostate Cancer – an interobserver variability study