Publications

Breast cancer Ki-67 expression prediction by digital breast tomosynthesis radiomics features

Despite the encouraging results, more studies are needed in order to further evaluate these preliminary findings and to find to what extent radiomics and AI...

Alberto Tagliafico

2 weeks ago

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

In an attempt to determine whether deep learning with the convolutional neural networks (CNN) can be used for identifying parkinsonian disorder on MRI, the...

European Radiology

2 months ago

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

The 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 morphometric...

European Radiology

3 months ago

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

The authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for detecting and...

European Radiology

3 months ago

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

The authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for detecting and...

European Radiology Experimental

3 months ago

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

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

ESR

3 months ago

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

The goal of this study was to develop and authenticate an MRI-based radiomics strategy for the preoperative estimation of pathological grade in bladder cancer...

European Radiology

3 months ago

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

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

Chien-Hung Liao, Chi-Tung Cheng

4 months ago

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

This study aimed to assess whether MRI radiomics can categorize ovarian masses and to determine the association between MRI radiomics and survival among...

European Radiology

4 months ago

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

Deep learning reconstruction (DLR) is a novel method of reconstruction that introduces deep convolutional neural networks into the reconstruction flow. The...

European Radiology

4 months ago