Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics

Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI

(2021) Nguyen Quoc Khanh Le et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays

(2021) Himadri Mukherjee et al.   Cognitive Computation

Pulmonary Artery Filling Defects in Covid-19 Patients Revealed Using CT Pulmonary Angiography: A Predictable Complication?

(2021) Arnaldo Scardapane et al.   Biomed Research International

Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer

(2021) Nguyen Quoc Khanh Le et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models

(2021) Younes Akbari et al.   Applied Sciences-Basel

Machine Learning and Deep Neural Network Applications in the Thorax

(2020) Martine Remy-Jardin et al.   JOURNAL OF THORACIC IMAGING

Acute Pulmonary Embolism Associated with COVID-19 Pneumonia Detected by Pulmonary CT Angiography

(2020) Franck Grillet et al.   RADIOLOGY

Acute Pulmonary Embolism in COVID-19 Patients on CT Angiography and Relationship to D-Dimer Levels

(2020) Ian Leonard-Lorant et al.   RADIOLOGY

Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections

(2020) Nicola Altini et al.   Electronics

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

(2020) Xinggang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A lung graph model for the radiological assessment of chronic thromboembolic pulmonary hypertension in CT

(2020) Oscar Jimenez-del-Toro et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Occurrence of Acute Pulmonary Embolism in COVID-19—A case series

(2020) Davide Fiore Bavaro et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

A survey on U-shaped networks in medical image segmentations

(2020) Liangliang Liu et al.   NEUROCOMPUTING

A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies

(2020) Nicola Altini et al.   Electronics

AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system

(2020) Bo Wang et al.   APPLIED SOFT COMPUTING

Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images

(2020) Adel Oulefki et al.   PATTERN RECOGNITION

Survey on semantic segmentation using deep learning techniques

(2019) Fahad Lateef et al.   NEUROCOMPUTING

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

(2019) Vitoantonio Bevilacqua et al.   BMC Medical Informatics and Decision Making

Precision Medicine and Radiogenomics in Breast Cancer: New Approaches toward Diagnosis and Treatment

(2018) Katja Pinker et al.   RADIOLOGY

Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images

(2018) Antonio Brunetti et al.   NEUROCOMPUTING

An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy

(2017) Vitoantonio Bevilacqua et al.   NEUROCOMPUTING

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Detection of central pulmonary embolism on non-contrast computed tomography: a case control study

(2014) Simon Sun et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

(2009) T. Heimann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING