Claus Belka

Latest

• Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images
• Repeatability quantification of brain diffusion-weighted imaging for future clinical implementation at a low-field MR-linac
• Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models
• CloverNet -- Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy
• Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images
• Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer
• MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35T MR-Linac
• Patient-specific deep learning tracking framework for real-time 2D target localization in MRI-guided radiotherapy
• Proton dose calculation with LSTM networks in presence of a magnetic field
• Reduction of cone-beam CT artifacts in a robotic CBCT device using saddle trajectories with integrated infrared tracking
• The role of online MR-guided multi-fraction stereotactic ablative radiotherapy in lung tumours
• Pulmonary magnetic resonance-guided online adaptive radiotherapy of locally advanced: the PUMA trial
• A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in 18-F FDG PET/CT
• Comparison of MR-guided radiotherapy accumulated doses for central lung tumors with non-adaptive and online adaptive proton therapy
• Continuous time-resolved estimated synthetic 4D-CTs for dose reconstruction of lung tumor treatments at a 0.35 T MR-linac
• Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
• Evaluation of real-time tumor contour prediction using LSTM networks for MR-guided radiotherapy
• Experimental comparison of linear regression and LSTM motion prediction models for MLC-tracking on an MRI-linac
• Feasibility of CycleGAN enhanced low dose CBCT imaging for prostate radiotherapy dose calculation
• Head and Neck Cancer Localization with Retina Unet for Automated Segmentation and Time-To-Event Prognosis from PET/CT Images
• Planning CT Identifies Patients at Risk of High Prostate Intrafraction Motion
• Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
• Scatter correction of 4D cone beam computed tomography to detect dosimetric effects due to anatomical changes in proton therapy for lung cancer
• ScatterNet for projection-based 4D cone-beam CT intensity correction of lung cancer patients
• Simultaneous object detection and segmentation for patient-specific markerless lung tumor tracking in simulated radiographs with deep learning
• Ventilation and perfusion MRI at a 0.35 T MR-Linac: feasibility and reproducibility study
• 18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy
• Dosimetric benefit of MR-guided online adaptive radiotherapy in different tumor entities: liver, lung, abdominal lymph nodes, pancreas and prostate
• 18F-Fluorodeoxyglucose Positron Emission Tomography of Head and Neck Cancer: Location and HPV Specific Parameters for Potential Treatment Individualization
• Assessment of intrafractional prostate motion and its dosimetric impact in MRI-guided online adaptive radiotherapy with gating
• Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis
• DeepClassPathway: Molecular pathway aware classification using explainable deep learning
• Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer
• Evaluation of an anthropomorphic ion chamber and 3D gel dosimetry head phantom at a 0.35 T MR-linac using separate 1.5 T MR-scanners for gel readout
• ExacTrac Dynamic workflow evaluation: Combined surface optical/thermal imaging and X-ray positioning
• Intrafractional monitoring of patients using four different immobilization mask systems for cranial radiotherapy
• MR-guided SBRT boost for patients with locally advanced or recurrent gynecological cancers ineligible for brachytherapy: feasibility and early clinical experience
• Offline and online LSTM networks for respiratory motion prediction in MR-guided radiotherapy
• Single-isocenter stereotactic radiosurgery for multiple brain metastases: Impact of patient misalignments on target coverage in non-coplanar treatments
• Validation of proton dose calculation on scatter corrected 4D cone beam computed tomography using a porcine lung phantom
• Dosimetric comparison of MR-linac-based IMRT and conventional VMAT treatment plans for prostate cancer
• Comparison of liver exposure in CT-guided high-dose rate (HDR) interstitial brachytherapy versus SBRT in hepatocellular carcinoma
• Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts
• Feasibility and Early Clinical Experience of Online Adaptive MR-Guided Radiotherapy of Liver Tumors
• Measurement-based range evaluation for quality assurance of CBCT-based dose calculations in adaptive proton therapy
• Risk Stratification Using 18F-FDG PET/CT and Artificial Neural Networks in Head and Neck Cancer Patients Undergoing Radiotherapy
• Validation of the collapsed cone algorithm for HDR liver brachytherapy against Monte Carlo simulations
• A new treatment planning approach accounting for prompt gamma range verification and interfractional anatomical changes
• Anthropomorphic lung phantom based validation of in-room proton therapy 4D-CBCT image correction for dose calculation
• Porcine lung phantom-based validation of estimated 4D-MRI using orthogonal cine imaging for low-field MR-Linacs
• Radiotherapy in oncological emergencies: fast-track treatment planning
• Real-time 4DMRI-based internal target volume definition for moving lung tumors
• The dosimetric impact of replacing the TG-43 algorithm by model based dose calculation for liver brachytherapy