[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. …

[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-…

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 …

Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome

H Binder, L Hopp, MR Schweiger… - The Journal of …, 2017 - Wiley Online Library
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 …

Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models

G Marvaso, LJ Isaksson, M Zaffaroni, MG Vincini… - European …, 2024 - Springer
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 …

[HTML][HTML] Transcriptome-guided drug repositioning

A Arakelyan, L Nersisyan, M Nikoghosyan… - Pharmaceutics, 2019 - mdpi.com
Drug repositioning can save considerable time and resources and significantly speed up
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 …

[HTML][HTML] Telomere length maintenance and its transcriptional regulation in lynch syndrome and sporadic colorectal carcinoma

L Nersisyan, L Hopp, H Loeffler-Wirth, J Galle… - Frontiers in …, 2019 - frontiersin.org
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 …

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 …

The data concept behind the data: From metadata models and labelling schemes towards a generic spectral library

M Jilge, U Heiden, F Priem, C Ji, A Hueni, S Arnold… - 2022 - elib.dlr.de
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 …