machine learning

Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status

In this work, we aimed to evaluate the potential value of the machine learning (ML)–based MRI texture analysis for predicting 1p/19q codeletion status of...

Burak Kocak

2 years ago

Reasons to do AI with Friends: The one where we tackle fibrosis

In the second episode of ESR Connect’s weekly show on artificial intelligence, Reasons to do AI with Friends, Prof. Helmut Prosch, from the Medical University...

ESR

2 years ago

Prediction of pulmonary pressure after Glenn shunts by computed tomography–based machine learning models

The aim of this retrospective study was to develop non-invasive machine learning (ML) classifiers for predicting post-Glenn shunt patients with low and high...

European Radiology

2 years ago

Reasons to do AI with Friends: The one where we classify breast cancer with MRI

“This was just awesome!” “Fantastic!” “Thank you for this great session!” These were only a few of the feedback messages...

ESR

2 years ago

Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer

The purpose of this study was to create a radiomics approach based on multiparametric MRI (mpMRI) features that were extracted from an auto-fixed volume of...

ESR

2 years ago

A pilot study on the performance of machine learning appled to texture-analysis-derived features for breast lesion characterisation at ABUS

In this study, the authors aimed to determine whether features derived from texture analysis (TA) are able to distinguish between normal, benign, and...

European Radiology Experimental

2 years ago

Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning–assisted nodule segmentation

The aim of this study was to investigate the natural history of pulmonary pure ground-glass nodules (pGGNs) with deep learning (DL)-assisted nodule...

European Radiology

2 years ago

Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics

In this study, the authors aimed to assess the potential of machine learning (ML) based on B-mode, shear-wave elastography (SWE), and dynamic...

European Radiology

2 years ago

Why I Stopped Worrying And Love The Intelligent Machine

The future will always be just that…until it becomes the present. That is especially true when the future involves science. What if science fiction has a way...

ESR

2 years ago

A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging

The aim of this study was to develop a supervised machine learning (ML) algorithm that would use diffusion-weighted imaging-derived radiomic features to...

European Radiology Experimental

2 years ago