Area of research
Radiation · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Advanced Radiotherapy Techniques, Radiation Therapy and Dosimetry, Medical Imaging Techniques and Applications, and Advanced X-ray and CT Imaging.
Maximizing impact of explainable artificial intelligence in radiotherapy: a critical review.
Evaluation of radiological properties and anisotropy with air channels analysis in 3D-printed flexible lung-mimicking materials for radiotherapy.
Evaluation of proton range differences in photon-counting and dual-energy computed tomography across imaging doses and anthropomorphic phantom sizes.
Assessing dosimetric uncertainties in Papillon+ contact x-ray brachytherapy for rectal cancer: impact of beam quality and tumour geometry.
Adrenergic signaling induces a pro-tumorigenic B cell state in colorectal cancer
Evaluating photon-counting computed tomography for quantitative material characteristics and material differentiation in radiotherapy.
Microscopic intramural spread in patients with rectal cancer after neoadjuvant chemoradiation.
Assessing quantitative material characteristics with low dose imaging in photon-counting and dual-energy computed tomography for radiotherapy.
Dosimetry and Monte Carlo modelling of the Papillon+ contact X-ray brachytherapy device.
Time-resolved clinical dose volume metrics, calculations and predictions based on source tracking measurements and uncertainties to aid treatment verification and error detection for HDR brachytherapy-a proof-of-principle study.
A 3D transfer learning approach for identifying multiple simultaneous errors during radiotherapy.
Towards a fully automatic workflow for investigating the dynamics of lung cancer cachexia during radiotherapy using cone beam computed tomography.
Turning the attention to time-resolved EPID-images: treatment error classification with transformer multiple instance learning.
A simulation framework for preclinical proton irradiation workflow.
AAPM WGDCAB Report 372: A joint AAPM, ESTRO, ABG, and ABS report on commissioning of model‐based dose calculation algorithms in brachytherapy
Roadmap for precision preclinical x-ray radiation studies.
Shoot-through proton FLASH irradiation lowers linear energy transfer in organs at risk for neurological tumors and is robust against density variations.
A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastoma.
Treatment verification in high dose rate brachytherapy using a realistic 3D printed head phantom and an imaging panel.
Roadmap for precision preclinical x-ray radiation studies
Molecular Detection of Venous Thrombosis in Mouse Models Using SPECT/CT.
What is the optimal input information for deep learning-based pre-treatment error identification in radiotherapy?
A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting.
Endorectal contact radiation boosting: Making the case for dose AND volume reporting
Considerations for shoot-through FLASH proton therapy.
Pharmacological inhibition of 17β-hydroxysteroid dehydrogenase impairs human endometrial cancer growth in an orthotopic xenograft mouse model
GEC-ESTRO/ACROP recommendations for quality assurance of ultrasound imaging in brachytherapy
Automatic Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region, Using Deep Learning
Microscopic intramural extension of rectal cancer after neoadjuvant chemoradiation: A meta-analysis based on individual patient data
Dual-energy CT for automatic organs-at-risk segmentation in brain-tumor patients using a multi-atlas and deep-learning approach