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Article
Open AccessImproving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow
AI-assisted techniques for lesion registration and segmentation have the potential to make CT-based tumor follow-up assessment faster and less reader-dependent. However, empirical evidence on the advantages of...
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Article
Adapted large language models can outperform medical experts in clinical text summarization
Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time. Although large language models (LLMs) have shown p...
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Article
Open AccessImpact of MRI on target volume definition in head and neck cancer patients
Target volume definition for curative radiochemotherapy in head and neck cancer is crucial since the predominant recurrence pattern is local. Additional diagnostic imaging like MRI is increasingly used, yet it...
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Article
Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data
In oncology, intratumoural heterogeneity is closely linked with the efficacy of therapy, and can be partially characterized via tumour biopsies. Here we show that intratumoural heterogeneity can be characteriz...
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Article
Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models
To provide a holistic and complete comparison of the five most advanced AI models in the augmentation of low-dose 18F-FDG PET data over the entire dose reduction spectrum.
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Article
Open AccessAutomated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies
Large epidemiological studies such as the UK Biobank (UKBB) or German National Cohort (NAKO) provide unprecedented health-related data of the general population aiming to better understand determinants of heal...
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Article
Open AccessA whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions
We describe a publicly available dataset of annotated Positron Emission Tomography/Computed Tomography (PET/CT) studies. 1014 whole body Fluorodeoxyglucose (FDG)-PET/CT datasets (501 studies of patients with m...
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Article
Open AccessStandardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC
Lesion/tissue segmentation on digital medical images enables biomarker extraction, image-guided therapy delivery, treatment response measurement, and training/validation for develo** artificial intelligence ...
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Chapter and Conference Paper
Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations
Deep Learning (DL) methods have shown promising results for solving ill-posed inverse problems such as MR image reconstruction from undersampled k-space data. However, these approaches currently have no guarantee...
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Article
Open AccessDetection of lung lesions in breath-hold VIBE and free-breathing Spiral VIBE MRI compared to CT
Detection of pulmonary nodules in MRI requires fast imaging strategies without respiratory motion impairment, such as single-breath-hold Cartesian VIBE. As patients with pulmonary diseases have limited breath-...
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Article
Open AccessOvercoming barriers to data sharing with medical image generation: a comprehensive evaluation
Privacy concerns around sharing personally identifiable information are a major barrier to data sharing in medical research. In many cases, researchers have no interest in a particular individual’s information...
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Article
Open AccessTargeting extracellular and juxtamembrane FGFR2 mutations in chemotherapy-refractory cholangiocarcinoma
Intrahepatic cholangiocarcinoma (iCCA) has emerged as a promising candidate for precision medicine, especially in the case of activating FGFR2 gene fusions. In addition to fusions, a considerable fraction of iCCA...
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Article
Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure
To generate diagnostic 18F-FDG PET images of pediatric cancer patients from ultra-low-dose 18F-FDG PET input images, using a novel artificial intelligence (AI) algorithm.
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Article
Open AccessNoninvasive, longitudinal imaging-based analysis of body adipose tissue and water composition in a melanoma mouse model and in immune checkpoint inhibitor-treated metastatic melanoma patients
As cancer cachexia (CC) is associated with cancer progression, early identification would be beneficial. The aim of this study was to establish a workflow for automated MRI-based segmentation of visceral (VAT)...
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Chapter and Conference Paper
Uncertainty-Guided Progressive GANs for Medical Image Translation
Image-to-image translation plays a vital role in tackling various medical imaging tasks such as attenuation correction, motion correction, undersampled reconstruction, and denoising. Generative adversarial net...
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Article
Simultaneous whole-body PET/MRI with integrated multiparametric MRI for primary staging of high-risk prostate cancer
Whole-body positron emission tomography/magnetic resonance imaging (wbPET/MRI) is a promising diagnostic tool of recurrent prostate cancer (PC), but its role in primary staging of high-risk PC (hrPC) is not we...
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Article
Open AccessClinical and prognostic value of tumor volumetric parameters in melanoma patients undergoing 18F-FDG-PET/CT: a comparison with serologic markers of tumor burden and inflammation
To investigate the association of tumor volumetric parameters in melanoma patients undergoing 18F-FDG-PET/CT with serologic tumor markers and inflammatory markers and the role as imaging predictors for overall su...
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Article
PET/MRI and genetic intrapatient heterogeneity in head and neck cancers
The relation between functional imaging and intrapatient genetic heterogeneity remains poorly understood. The aim of our study was to investigate spatial sampling and functional imaging by FDG-PET/MRI to descr...
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Article
Open AccessIndependent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks
Attenuation correction (AC) of PET data is usually performed using a second imaging for the generation of attenuation maps. In certain situations however—when CT- or MR-derived attenuation maps are corrupted o...
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Article
Impact of PET/CT on clinical management in patients with cancer of unknown primary—a PET/CT registry study
To evaluate the impact of PET/CT on clinical management in patients with cancer of unknown primary (CUP).
