SDDC-Net: A U-shaped deep spiking neural P convolutional network for retinal vessel segmentation

Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation

(2022) Yuan Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems

(2022) Lifan Long et al.   International Journal of Neural Systems

Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform

(2022) Lifan Long et al.   NEURAL NETWORKS

Edge Detection Method Based on Nonlinear Spiking Neural Systems

(2022) Ronghao Xian et al.   International Journal of Neural Systems

Echo spiking neural P systems

(2022) Lifan Long et al.   KNOWLEDGE-BASED SYSTEMS

A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model

(2021) Manuel E. Gegundez-Arias et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Multi-focus image fusion approach based on CNP systems in NSCT domain

(2021) Hong Peng et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Width-wise vessel bifurcation for improved retinal vessel segmentation

(2021) Tariq M. Khan et al.   Biomedical Signal Processing and Control

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems

(2021) Qian Liu et al.   KNOWLEDGE-BASED SYSTEMS

Multimodal medical image segmentation using multi-scale context-aware network

(2021) Xue Wang et al.   NEUROCOMPUTING

Edge-aware U-net with gated convolution for retinal vessel segmentation

(2021) Yu Zhang et al.   Biomedical Signal Processing and Control

A retinal blood vessel segmentation based on improved D-MNet and pulse-coupled neural network

(2021) Xiangyu Deng et al.   Biomedical Signal Processing and Control

An unsupervised segmentation method based on dynamic threshold neural P systems for color images

(2021) Yulong Cai et al.   INFORMATION SCIENCES

Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain

(2020) Bo Li et al.   International Journal of Neural Systems

Dendrite P systems

(2020) Hong Peng et al.   NEURAL NETWORKS

Dense-UNet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network

(2020) Sijing Cai et al.   Quantitative Imaging in Medicine and Surgery

Sustained suppression of VEGF for treatment of retinal/choroidal vascular diseases

(2020) Peter A. Campochiaro et al.   PROGRESS IN RETINAL AND EYE RESEARCH

DUNet: A deformable network for retinal vessel segmentation

(2019) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning in ophthalmology: The technical and clinical considerations

(2019) Daniel S.W. Ting et al.   PROGRESS IN RETINAL AND EYE RESEARCH

Spiking neural P systems with inhibitory rules

(2019) Hong Peng et al.   KNOWLEDGE-BASED SYSTEMS

Nonlinear Spiking Neural P Systems

(2019) Hong Peng et al.   International Journal of Neural Systems

Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation

(2018) Zengqiang Yan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Dynamic threshold neural P systems

(2018) Hong Peng et al.   KNOWLEDGE-BASED SYSTEMS

Coupled Neural P Systems

(2018) Hong Peng et al.   IEEE Transactions on Neural Networks and Learning Systems

A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images

(2017) Jose Ignacio Orlando et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spiking neural P systems with multiple channels

(2017) Hong Peng et al.   NEURAL NETWORKS

A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

(2016) Qiaoliang Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmenting Retinal Blood Vessels With _newline Deep Neural Networks

(2016) Pawel Liskowski et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Spiking Neural P Systems with Anti-Spikes

(2016) Linqiang Pan et al.   International Journal of Computers Communications & Control

Iterative Vessel Segmentation of Fundus Images

(2015) Sohini Roychowdhury et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images

(2015) Yitian Zhao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Trainable COSFIRE filters for vessel delineation with application to retinal images

(2015) George Azzopardi et al.   MEDICAL IMAGE ANALYSIS

A retinal vessel boundary tracking method based on Bayesian theory and multi-scale line detection

(2014) Jia Zhang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Segmentation of the Blood Vessels and Optic Disk in Retinal Images

(2014) Ana Salazar-Gonzalez et al.   IEEE Journal of Biomedical and Health Informatics

An approach to localize the retinal blood vessels using bit planes and centerline detection

(2011) M.M. Fraz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Segmentation of retinal blood vessels using the radial projection and semi-supervised approach

(2011) Xinge You et al.   PATTERN RECOGNITION

Retinal vessel extraction by matched filter with first-order derivative of Gaussian

(2010) Bob Zhang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An Active Contour Model for Segmenting and Measuring Retinal Vessels

(2009) B. Al-Diri et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING