AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading

An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images

(2021) Cheng Chen et al.   IEEE Transactions on Industrial Informatics

The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas

(2020) D. Alis et al.   CLINICAL RADIOLOGY

Introduction to Radiomics

(2020) Marius E Mayerhoefer et al.   JOURNAL OF NUCLEAR MEDICINE

A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients

(2020) Jan C. Peeken et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Analysis of healthcare big data

(2020) Zhihan Lv et al.   Future Generation Computer Systems-The International Journal of eScience

Diagnostic performance between MR amide proton transfer (APT) and diffusion kurtosis imaging (DKI) in glioma grading and IDH mutation status prediction at 3 T

(2020) Zongwei Xu et al.   EUROPEAN JOURNAL OF RADIOLOGY

Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation

(2020) Xiang Li et al.   IEEE Transactions on Industrial Informatics

Parallel Deep Learning Algorithms With Hybrid Attention Mechanism for Image Segmentation of Lung Tumors

(2020) Hexuan Hu et al.   IEEE Transactions on Industrial Informatics

Emerging Applications of Artificial Intelligence in Neuro-Oncology

(2019) Jeffrey D. Rudie et al.   RADIOLOGY

How Can Radiomics Be Consistently Applied across Imagers and Institutions?

(2019) Peter Steiger et al.   RADIOLOGY

Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcoma

(2019) Longfei Li et al.   EUROPEAN JOURNAL OF RADIOLOGY

Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network

(2019) Shengyu Zhao et al.   IEEE Journal of Biomedical and Health Informatics

Visual Analytics of a Computer-Aided Diagnosis System for Pancreatic Lesions

(2019) Konstantin Dmitriev et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Diagnostic accuracy of MRI texture analysis for grading gliomas

(2018) Austin Ditmer et al.   JOURNAL OF NEURO-ONCOLOGY

Vulnerabilities of radiomic signature development: The need for safeguards

(2018) Mattea L. Welch et al.   RADIOTHERAPY AND ONCOLOGY

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Harmonization of multi-site diffusion tensor imaging data

(2017) Jean-Philippe Fortin et al.   NEUROIMAGE

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

(2016) David N. Louis et al.   ACTA NEUROPATHOLOGICA

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Apparent diffusion coefficient measurement in glioma: Influence of region-of-interest determination methods on apparent diffusion coefficient values, interobserver variability, time efficiency, and diagnostic ability

(2016) Xu Han et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Quality Assurance Assessment of Diagnostic and Radiation Therapy–Simulation CT Image Registration for Head and Neck Radiation Therapy: Anatomic Region of Interest–based Comparison of Rigid and Deformable Algorithms

(2015) Abdallah S. R. Mohamed et al.   RADIOLOGY

Tumor Texture Analysis in 18F-FDG PET: Relationships Between Texture Parameters, Histogram Indices, Standardized Uptake Values, Metabolic Volumes, and Total Lesion Glycolysis

(2014) F. Orlhac et al.   JOURNAL OF NUCLEAR MEDICINE