Publications

Radiation dose in pregnancy

- 1 min readDue to the high radiosensitivity of the fetus and embryo, diagnostic imaging procedures for pregnant patients raise health concerns. Therefore,...

European Radiology

3 days ago

Publications on artificial intelligence: an interview with Professor Zhi-Cheng Li

- 4 min readThe topic of Artificial Intelligence (AI) is on the tip of everyone’s tongue in healthcare, especially those involved in radiology. When one...

ESR

1 month ago

What the radiologist should know about artificial intelligence – an ESR white paper

- 2 min readDid you ever get lost between all the buzz words floating around like artificial intelligence, imaging informatics, radiomics, imaging biobanks,...

Daniel Pinto dos Santos

3 months ago

How machine learning-based high-dimensional CT texture analysis is influenced by segmentation margin

- 2 min readRadiomic workflows include various challenging steps. One of the most demanding steps in radiomics is the segmentation process. Particularly for...

Burak Kocak

3 months ago

Radiomics: the facts and the challenges of image analysis

- 1 min readRadiomics is a complex multi-step process that can be considered as part of the more complex world of Artifical Intelligence (AI). The aim of...

Stefania Rizzo

4 months ago

Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging

- 1 min readIn an attempt to determine whether deep learning with the convolutional neural networks (CNN) can be used for identifying parkinsonian disorder on...

European Radiology

1 week ago

Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging

Are semi-automated software programs designed for adults accurate for the identification of vertebral fractures in children?

- 1 min readThe goal of this study was to test if using AVERT™ (a 33-point semi-automated program developed for VF diagnosis in adults) is better for...

European Radiology

2 weeks ago

$Are semi-automated software programs designed for adults accurate for the identification of vertebral fractures in children?$

Machine learning classifiers vs. Experienced radiologists: Predicting Gleason pattern 4 prostate cancer

- 1 min readThe authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for...

European Radiology

3 weeks ago

Machine learning classifiers vs. Experienced radiologists: Predicting Gleason pattern 4 prostate cancer

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

- 1 min readThe authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for...

European Radiology Experimental

1 month ago

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

Using radiomics for the preoperative estimation of pathological grade in bladder cancer tumors

- 1 min readThe goal of this study was to develop and authenticate an MRI-based radiomics strategy for the preoperative estimation of pathological grade in...

European Radiology

1 month ago

Using radiomics for the preoperative estimation of pathological grade in bladder cancer tumors

Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs

- 2 min readIn this study, we developed the DCNN not only for the automated detection of hip fractures on frontal pelvic radiographs but also to offer...

Chien-Hung Liao, Chi-Tung Cheng

1 month ago

$Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs$

MRI radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study

- 1 min readThis study aimed to assess whether MRI radiomics can categorize ovarian masses and to determine the association between MRI radiomics and survival...

European Radiology

2 months ago

MRI radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

- 1 min readDeep learning reconstruction (DLR) is a novel method of reconstruction that introduces deep convolutional neural networks into the reconstruction...

European Radiology

2 months ago

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

Taking artificial intelligence out of the black box: An “interpretable” deep learning system for liver tumour diagnosis

- 2 min readConvolutional neural networks (CNN) have demonstrated the potential to become effective and accurate decision support tools for radiologists. A...

European Radiology

2 months ago

Taking artificial intelligence out of the black box: An “interpretable” deep learning system for liver tumour diagnosis

Using machine learning to predict cervical lymph node metastasis on dual-energy CT

- 2 min readIn this article, we extracted “hand-crafted” radiomic features from dual-energy CT (DECT) virtual monochromatic images (VMIs) reconstructed at...

Reza Forghani

2 months ago

Using machine learning to predict cervical lymph node metastasis on dual-energy CT

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Welcome to the blog on Artificial Intelligence of the European Society of Radiology

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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