Jun Jiang

Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review

Secure, privacy-preserving and federated machine learning in medical imaging

Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images

Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

A survey on deep learning in medical image analysis

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Radiomics: the bridge between medical imaging and personalized medicine

Brain tumor classification using deep CNN features via transfer learning

Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018

A review of medical image data augmentation techniques for deep learning applications

Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking

State of research in automatic as-built modelling

Infrared and visible image fusion methods and applications: A survey

Multiscale CNNs for Brain Tumor Segmentation and Diagnosis

Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures

Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey

Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning

A Survey of Sparse Representation: Algorithms and Applications

INFO: An efficient optimization algorithm based on weighted mean of vectors

Gesture recognition based on multi‐modal feature weight

A hybrid short-term load forecasting model developed by factor and feature selection algorithms using improved grasshopper optimization algorithm and principal component analysis

Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning

Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking

Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer

Object Detection Recognition and Robot Grasping Based on Machine Learning: A Survey

Deep Learning for Intelligent Human–Computer Interaction

Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images

Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization

Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation

Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images

3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets

Semi-automatic Segmentation of Brain Tumors Using Population and Individual Information

Brain extraction based on locally linear representation-based classification

Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT

Visual tracking using improved flower pollination algorithm

RGB-D-Based Object Recognition Using Multimodal Convolutional Neural Networks: A Survey

Object tracking using firefly algorithm

Brain Tumor Segmentation Based on Local Independent Projection-Based Classification

Registration for 3-D point cloud using angular-invariant feature