What is Radiomics?
Turning medical images into data
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Publications
All Publications
Towards texture accurate slice interpolation of medical images using PixelMiner
Quantitative image analysis models are used for medical imaging tasks such as registration, classification…
A Multimodal Imaging-Supported Down Syndrome Mouse Model of RSV Infection
Individuals with Down syndrome (DS) are more prone to develop severe respiratory tract infections. Although a RSV infection has a high clinical impact…
Radiomics and Delta-Radiomics Signatures to Predict Response and Survival…
The aim of our study was to determine the potential role of CT-based radiomics in predicting treatment response and survival in patients with advanced NSCLC…
Automatic segmentation of mediastinal pathological lymph nodes with Deep Learning
The importance of accurate manual segmentations as ground truths
Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass
This study aims to get an effective machine learning (ML) prediction model of new-onset postoperative atrial fibrillation (POAF)…
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer.
DRAFT Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer.