What’s going on at radiomics.bio?

What’s going on at radiomics.bio?

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White Paper | Leveraging AI-Enabled Tumor Assessment Tools on Radiological Images to Evaluate Treatment Effect and Support Clinical Trial Endpoints in Solid Tumors

Accurate and consistent tumor measurement is fundamental to evaluating treatment response in oncology clinical trials. For more than 25 years…

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.