Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples

Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning

(2021) Imran Qureshi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Backscatter-Enabled Efficient V2X Communication With Non-Orthogonal Multiple Access

(2021) Wali Ullah Khan et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Backscatter-Enabled NOMA for Future 6G Systems: A New Optimization Framework Under Imperfect SIC

(2021) Wali Ullah Khan et al.   IEEE COMMUNICATIONS LETTERS

Dynamic Offloading for Multiuser Muti-CAP MEC Networks: A Deep Reinforcement Learning Approach

(2021) Chao Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Diabetic retinopathy detection and classification using capsule networks

(2021) G. Kalyani et al.   Complex & Intelligent Systems

Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy

(2021) Sraddha Das et al.   Biomedical Signal Processing and Control

Efficient and flexible management for industrial Internet of Things: A federated learning approach

(2021) Yinghao Guo et al.   Computer Networks

Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

(2021) Nikos Tsiknakis et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Joint Spectrum and Energy Optimization of NOMA-Enabled Small-Cell Networks With QoS Guarantee

(2021) Wali Ullah Khan et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

3D convolutional neural networks based automatic modulation classification in the presence of channel noise

(2021) Rahim Khan et al.   IET Communications

Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem

(2021) Ijaz Ahmad et al.   Journal of Healthcare Engineering

Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network

(2021) Bashir Khan Yousafzai et al.   Sustainability

Battery-constrained federated edge learning in UAV-enabled IoT for B5G/6G networks

(2021) Shunpu Tang et al.   Physical Communication

Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions

(2021) Ahsan Bin Tufail et al.   Computational and Mathematical Methods in Medicine

An Enhanced Spectrum Reservation Framework for Heterogeneous Users in CR-Enabled IoT Networks

(2021) Abd Ullah Khan et al.   IEEE Wireless Communications Letters

3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities

(2021) Ahsan Bin Tufail et al.   Brain Informatics

Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks

(2021) Wali Ullah Khan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

NOMA-Enabled Optimization Framework for Next-Generation Small-Cell IoV Networks Under Imperfect SIC Decoding

(2021) Wali Ullah Khan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Automated Detection and Classification of Fundus Diabetic Retinopathy Images using Synergic Deep Learning Model

(2020) Shankar Kathiresan et al.   PATTERN RECOGNITION LETTERS

Deep and Densely Connected Networks for Classification of Diabetic Retinopathy

(2020) Hamza Riaz et al.   Diagnostics

SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection

(2020) Neelu Khare et al.   Electronics

Comparison of smartphone-based retinal imaging systems for diabetic retinopathy detection using deep learning

(2020) Mahmut Karakaya et al.   BMC BIOINFORMATICS

Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis

(2020) Md Mohaimenul Islam et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automated detection of diabetic retinopathy using convolutional neural networks on a small dataset

(2020) Abhishek Samanta et al.   PATTERN RECOGNITION LETTERS

A Note on Implementation Methodologies of Deep Learning-Based Signal Detection for Conventional MIMO Transmitters

(2020) Junjuan Xia et al.   IEEE TRANSACTIONS ON BROADCASTING

Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025

(2020) Xiling Lin et al.   Scientific Reports

Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders

(2020) Jirawut Limwattanayingyong et al.   Journal of Diabetes Research

Ultra-reliable MU-MIMO detector based on deep learning for 5G/B5G-enabled IoT

(2020) Ke He et al.   Physical Communication

Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications

(2020) Furqan Jameel et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Modified Alexnet architecture for classification of diabetic retinopathy images

(2019) T. Shanthi et al.   COMPUTERS & ELECTRICAL ENGINEERING

Secure Cache-Aided Multi-Relay Networks in the Presence of Multiple Eavesdroppers

(2019) Junjuan Xia et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Diabetic retinopathy detection using red lesion localization and convolutional neural networks

(2019) Gabriel Tozatto Zago et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging

(2019) Xiangrui Yin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Early detection of diabetic retinopathy

(2018) Hamid Safi et al.   SURVEY OF OPHTHALMOLOGY

Structurally-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising

(2018) Chenyu You et al.   IEEE Access

Deep convolutional neural networks for diabetic retinopathy detection by image classification

(2018) Shaohua Wan et al.   COMPUTERS & ELECTRICAL ENGINEERING

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

(2018) Rory Sayres et al.   OPHTHALMOLOGY

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

(2017) Joon Yul Choi et al.   PLoS One

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep learning

(2015) Yann LeCun et al.   NATURE

Computer-aided diagnosis of diabetic retinopathy: A review

(2013) Muthu Rama Krishnan Mookiah et al.   COMPUTERS IN BIOLOGY AND MEDICINE

TeleOphta: Machine learning and image processing methods for teleophthalmology

(2013) E. Decencière et al.   IRBM

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE