[HTML][HTML] Tracked 3D ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry
…, D Dimova, M Köhler, G Buschner, L Schweiger… - Plos one, 2022 - journals.plos.org
Thyroid volumetry is crucial in the diagnosis, treatment, and monitoring of thyroid diseases.
However, conventional thyroid volumetry with 2D ultrasound is highly operator-dependent. …
However, conventional thyroid volumetry with 2D ultrasound is highly operator-dependent. …
[HTML][HTML] Development and external validation of a multivariable [68Ga]Ga-PSMA-11 PET-based prediction model for lymph node involvement in men with …
UJ Muehlematter, L Schweiger, DA Ferraro… - European Journal of …, 2023 - Springer
Purpose To develop and evaluate a lymph node invasion (LNI) prediction model for men
staged with [ 68 Ga]Ga-PSMA-11 PET. Methods A consecutive sample of intermediate to high-…
staged with [ 68 Ga]Ga-PSMA-11 PET. Methods A consecutive sample of intermediate to high-…
Validation of 18F-rhPSMA-7 and 18F-rhPSMA-7.3 PET imaging results with histopathology from salvage surgery in patients with biochemical recurrence of prostate …
M Kroenke, L Schweiger, T Horn, B Haller… - Journal of Nuclear …, 2022 - Soc Nuclear Med
18 F-rhPSMA-7, and its single diastereoisomer form, 18 F-rhPSMA-7.3, are prostate-specific
membrane antigen (PSMA)–targeting radiopharmaceuticals. Here, we investigated their …
membrane antigen (PSMA)–targeting radiopharmaceuticals. Here, we investigated their …
Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome
Colorectal cancer (CRC) arising in Lynch syndrome (LS) comprises tumours with constitutional
mutations in DNA mismatch repair genes. There is still a lack of whole‐genome and …
mutations in DNA mismatch repair genes. There is still a lack of whole‐genome and …
Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models
Objective To test the ability of high-performance machine learning (ML) models employing
clinical, radiological, and radiomic variables to improve non-invasive prediction of the …
clinical, radiological, and radiomic variables to improve non-invasive prediction of the …
[HTML][HTML] Transcriptome-guided drug repositioning
Drug repositioning can save considerable time and resources and significantly speed up
the drug development process. The increasing availability of drug action and disease-…
the drug development process. The increasing availability of drug action and disease-…
[HTML][HTML] Transcriptomic maps of colorectal liver metastasis: machine learning of gene activation patterns and epigenetic trajectories in support of precision medicine
O Ashekyan, N Shahbazyan, Y Bareghamyan… - Cancers, 2023 - mdpi.com
Simple Summary Liver metastasis is a significant factor contributing to mortality associated
with colorectal cancer. Establishing the biological mechanisms of metastasis is crucial for …
with colorectal cancer. Establishing the biological mechanisms of metastasis is crucial for …
[HTML][HTML] Telomere length maintenance and its transcriptional regulation in lynch syndrome and sporadic colorectal carcinoma
Background: Activation of telomere maintenance mechanisms (TMMs) is a hallmark of most
cancers, and is required to prevent genome instability and to establish cellular immortality …
cancers, and is required to prevent genome instability and to establish cellular immortality …
Microwave dielectric materials with defect-dipole clusters induced colossal permittivity and ultra-low loss
J Liu, L Jacob, J Langley, Z Fu, X Cao… - ACS Applied …, 2021 - ACS Publications
Microwave dielectric materials are of great interest due to their applications in communication
technology. The intrinsically low dielectric permittivity (generally less than 100) of …
technology. The intrinsically low dielectric permittivity (generally less than 100) of …
The data concept behind the data: From metadata models and labelling schemes towards a generic spectral library
Spectral libraries play a major role in imaging spectroscopy. They are commonly used to
store end-member and spectrally pure material spectra, which are primarily used for mapping …
store end-member and spectrally pure material spectra, which are primarily used for mapping …