Fuqian Shi

发表

Wireless Capsule Gastrointestinal Endoscopy: Direction-of-Arrival Estimation Based Localization Survey

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2017, IEEE Reviews in Biomedical Engineering.

Multifractal analysis of ceramic pottery SEM images in Cucuteni-Tripolye culture

S. Fong, N. Dey, A. Ashour, 2018, Optik.

Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks

R. G. Crespo, N. Dey, Nabanita Das, 2022, Applied Soft Computing.

Emotion stimuli-based surface electromyography signal classification employing Markov transition field and deep neural networks

N. Dey, Rubén González Crespo, Fuqian Shi, 2021, Measurement.

Gaussian mixture model for texture characterization with application to brain DTI images

S. Fong, N. Dey, A. Ashour, 2019, Journal of advanced research.

Number : ASOC-D18-02084 Title : Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network

Rajinikanth, J. Tavares, N. Dey, 2018 .

Texture features based microscopic image classification of liver cellular granuloma using artificial neural networks

Nilanjan Dey, Yu Wang, Yating Chen, 2019, 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).

Neural Skyline Filtering for Imbalance Features Classification

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2017, Int. J. Comput. Intell. Appl..

Level Set Segmentation Methods for fMRI Dataset of Brain

Fuqian Shi, Yu Wang, Yating Chen, 2018, ITITS.

Gaussian Shaped Fuzzy Similarity Inference for Semantic Cell: An Affective Computing in Valence-Arousal Space

Fuqian Shi, P. Bush, Mubarak Banisakher, 2013, 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics.

RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields

Qun Li, Gaoxiang Chen, Fuqian Shi, 2020, NeuroImage.

Emotion classification on eye-tracking and electroencephalograph fused signals employing deep gradient neural networks

Nilanjan Dey, Robert Simon Sherratt, Fuqian Shi, 2021, Appl. Soft Comput..

Case-Based Reasoning for Product Style Construction and Fuzzy Analytic Hierarchy Process Evaluation Modeling Using Consumers Linguistic Variables

Nilanjan Dey, Fuqian Shi, Dan Wang, 2017, IEEE Access.

Multi-source information fusion model in rule-based Gaussian-shaped fuzzy control inference system incorporating Gaussian density function

Fuqian Shi, Ting He, Valentina Emilia Balas, 2015, J. Intell. Fuzzy Syst..

Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors

Nilanjan Dey, Fuqian Shi, Terence K. L. Hui, 2020, Biosensors.

Image Fusion Incorporating Parameter Estimation Optimized Gaussian Mixture Model and Fuzzy Weighted Evaluation System: A Case Study in Time-Series Plantar Pressure Data Set

Nilanjan Dey, Dan Wang, Amira S. Ashour, 2017, IEEE Sensors Journal.

De-Bruijn graph with MapReduce framework towards metagenomic data classification

Nilanjan Dey, Sazia Parvin, Amira S. Ashour, 2017 .

A Study on the Bat Algorithm Technique to Evaluate the Skin Melanoma Images

Nilanjan Dey, Fuqian Shi, Venkatesan Rajinikanth, 2020 .

Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2018, Medical & Biological Engineering & Computing.

De-Bruijn graph with MapReduce framework towards metagenomic data classification

N. Dey, A. Ashour, S. Parvin, 2017, International Journal of Information Technology.

Indian Sign Language Recognition Using Optimized Neural Networks

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2015, ITITS.

Image feature-based affective retrieval employing improved parameter and structure identification of adaptive neuro-fuzzy inference system

Dan Wang, Nilanjan Dey, Jiang Xu, 2018, Neural Computing and Applications.

Classifier Ensemble Selection Based on mRMR Algorithm and Diversity Measures: An Application of Medical Data Classification

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2016, SOFA.

Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modality

V. Rajinikanth, Fuqian Shi, K. Kamalanand, 2019, Biocybernetics and Biomedical Engineering.

Curvature manipulation of the spectrum of Valence-Arousal-related fMRI dataset using Gaussian-shaped Fast Fourier Transform and its application to fuzzy KANSEI adjectives modeling

Fuqian Shi, Ting He, Valentina Emilia Balas, 2016, Neurocomputing.

Shape Preserving Fitting Model for Affective Curves Extraction: An Affective Computing Method on fMRI Dataset

Fuqian Shi, Fuqian Shi, 2013 .

A Gaussian-mixed Fuzzy Clustering Model on Valence-Arousal-related fMRI Data-Set

Fuqian Shi, Pamela McCauley Bush, Fuqian Shi, 2013 .

Modified cuckoo search algorithm in microscopic image segmentation of hippocampus

Nilanjan Dey, Fuqian Shi, Kalyani Mali, 2017, Microscopy research and technique.

Fragmented plant leaf recognition: Bag-of-features, fuzzy-color and edge-texture histogram descriptors with multi-layer perceptron

Nilanjan Dey, Fuqian Shi, Jyotismita Chaki, 2019, Optik.

Colored Video Analysis in Wireless Capsule Endoscopy: A Survey of State-of-the-Art.

Nilanjan Dey, Fuqian Shi, Luminița Moraru, 2020, Current medical imaging reviews.

Optical pressure sensors based plantar image segmenting using an improved fully convolutional network

Dan Wang, Nilanjan Dey, Fuqian Shi, 2019, Optik.

Digital Image Watermarking Tools: State-of-the-Art

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2017, ITITS.

A Distance Regularized Level-Set Evolution Model Based MRI Dataset Segmentation of Brain’s Caudate Nucleus

Yu Wang, Yating Chen, Gaoxiang Chen, 2019, IEEE Access.

Medical cyber-physical systems: A survey

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2018, Journal of Medical Systems.

Meta-KANSEI Modeling with Valence-Arousal fMRI Dataset of Brain

N. Dey, A. Ashour, R. Sherratt, 2019, Cognitive Computation.

Evolutionary framework for coding area selection from cancer data

Nilanjan Dey, Md. Nawab Yousuf Ali, Shamim Ripon, 2018, Neural Computing and Applications.

Developing residential wireless sensor networks for ECG healthcare monitoring

Nilanjan Dey, Robert Simon Sherratt, Amira S. Ashour, 2017, IEEE Transactions on Consumer Electronics.

Morphological Segmentation Analysis and Texture-based Support Vector Machines Classification on Mice Liver Fibrosis Microscopic Images

Nilanjan Dey, V. Rajinikanth, Lijun Wu, 2019, Current Bioinformatics.

Histogram of oriented gradient based plantar pressure image feature extraction and classification employing fuzzy support vector machine

Simon Fong, Nilanjan Dey, Amira S. Ashour, 2018 .

Convolutional Neural Network Based Clustering and Manifold Learning Method for Diabetic Plantar Pressure Imaging Dataset

Nilanjan Dey, Yu Wang, Fuqian Shi, 2017 .

Morphological segmenting and neighborhood pixel-based locality preserving projection on brain fMRI dataset for semantic feature extraction: an affective computing study

N. Dey, A. Ashour, Pamela McCauley, 2018, Neural Computing and Applications.

An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks

Dan Wang, Nilanjan Dey, Robert Simon Sherratt, 2019, Optik.

Histogram Thresholding in Image Segmentation: A Joint Level Set Method and Lattice Boltzmann Method Based Approach

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2015, ITITS.

Plantar pressure image fusion for comfort fusion in diabetes mellitus using an improved fuzzy hidden Markov model

Dan Wang, Nilanjan Dey, Fuqian Shi, 2019, Biocybernetics and Biomedical Engineering.

Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks

Nilanjan Dey, Fuqian Shi, Amira S. Ashour, 2020, Biocybernetics and Biomedical Engineering.

Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction

Dan Wang, Nilanjan Dey, Amira S. Ashour, 2017, Neural Computing and Applications.

Leukocyte Nuclei Segmentation Using Entropy Function and Chan-Vese Approach

Nilanjan Dey, Fuqian Shi, N. Dey, 2018, International Conference on Information Technology and Intelligent Transportation Systems.

Pattern Mining Approaches Used in Sensor-Based Biometric Recognition: A Review

Nilanjan Dey, Fuqian Shi, R. Simon Sherratt, 2019, IEEE Sensors Journal.

Data augmentation on mice liver cirrhosis microscopic images employing convolutional neural networks and support vector machine

Arun Kumar Sangaiah, Yu Wang, Fuqian Shi, 2018, J. Ambient Intell. Humaniz. Comput..

Data augmentation on mice liver cirrhosis microscopic images employing convolutional neural networks and support vector machine

Arun Kumar Sangiah, Yu Wang, Fuqian Shi, 2018, Journal of Ambient Intelligence and Humanized Computing.

Infrared Thermal Images Classification for Pressure Injury Prevention Incorporating the Convolutional Neural Networks

Yu Wang, Fuqian Shi, Xiaoqiong Jiang, 2021, IEEE Access.

Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network

Nilanjan Dey, Ningning Yang, Amira S. Ashour, 2019, Appl. Soft Comput..

Integrated metabolic and genetic analysis reveals distinct features of human differentiated thyroid cancer

Chang S. Chan, E. White, S. Ganesan, 2023, Clinical and translational medicine.

Light microscopy image de-noising using optimized LPA-ICI filter

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2018, Neural Computing and Applications.

Evaluation on diabetic plantar pressure data-set employing auto-segmentation technologies

Fuqian Shi, Hongwei Chen, Victor Hugo C. de Albuquerque, 2018, Neural Computing and Applications.

Diabetic plantar pressure analysis using image fusion

Lijun Wu, Simon Fong, Nilanjan Dey, 2018, Multimedia Tools and Applications.

Recognition of Skin Diseases Using Curvelet Transforms and Law's Texture Energy Measures

Nilanjan Dey, Fuqian Shi, Amira S. Ashour, 2018, SOFA.

Quantitative Diffusion Tensor Magnetic Resonance Imaging Signal Characteristics in the Human Brain: A Hemispheres Analysis

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2017, IEEE Sensors Journal.

Developing residential wireless sensor networks for ECG healthcare monitoring

S. Fong, N. Dey, A. Ashour, 2017, IEEE Transactions on Consumer Electronics.

Big DNA datasets analysis under push down automata

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, 2018, J. Intell. Fuzzy Syst..

Pattern Mining Approaches Used in Social Media Data

Nilanjan Dey, Simon Fong, B. K. Panigrahi, 2020, Int. J. Uncertain. Fuzziness Knowl. Based Syst..