Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation

Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond

(2021) Anneke Meyer et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Arbitrary Scale Super-Resolution for Medical Images

(2021) Jin Zhu et al.   International Journal of Neural Systems

A Knowledge-Based Deep Learning Architecture for Aspect-Based Sentiment Analysis

(2021) Georgios Alexandridis et al.   International Journal of Neural Systems

A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources

(2021) Cosimo Ieracitano et al.   International Journal of Neural Systems

Deep Co-Training for Semi-Supervised Image Segmentation

(2020) Jizong Peng et al.   PATTERN RECOGNITION

Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution

(2020) Karl Thurnhofer-Hemsi et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Content based image retrieval by ensembles of deep learning object classifiers

(2020) Safa Hamreras et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses

(2020) Antonio Lozano et al.   International Journal of Neural Systems

3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance

(2020) Wonsup Shin et al.   International Journal of Neural Systems

Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process

(2020) Wei Feng et al.   International Journal of Neural Systems

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

A Global Benchmark of Algorithms for Segmenting the Left Atrium from Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging

(2020) Zhaohan Xiong et al.   MEDICAL IMAGE ANALYSIS

Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging

(2020) Hidir Selcuk Nogay et al.   REVIEWS IN THE NEUROSCIENCES

Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation

(2020) Xuyang Cao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

(2020) Xiaomeng Li et al.   IEEE Transactions on Neural Networks and Learning Systems

FEMa: a finite element machine for fast learning

(2019) Danilo R. Pereira et al.   NEURAL COMPUTING & APPLICATIONS

A dynamic ensemble learning algorithm for neural networks

(2019) Kazi Md. Rokibul Alam et al.   NEURAL COMPUTING & APPLICATIONS

Human Gait Recognition Based on Frame-by-Frame Gait Energy Images and Convolutional Long Short Term Memory

(2019) Xiuhui Wang et al.   International Journal of Neural Systems

Enhanced probabilistic neural network with local decision circles: A robust classifier

(2018) Mehran Ahmadlou et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Segmentation and clustering in brain MRI imaging

(2018) Golrokh Mirzaei et al.   REVIEWS IN THE NEUROSCIENCES

A New Neural Dynamic Classification Algorithm

(2017) Mohammad Hossein Rafiei et al.   IEEE Transactions on Neural Networks and Learning Systems

Resting state functional magnetic resonance imaging processing techniques in stroke studies

(2016) Golrokh Mirzaei et al.   REVIEWS IN THE NEUROSCIENCES

Imaging and machine learning techniques for diagnosis of Alzheimer’s disease

(2016) Golrokh Mirzaei et al.   REVIEWS IN THE NEUROSCIENCES

EEG/MEG- and imaging-based diagnosis of Alzheimer’s disease

(2013) Sarah Hulbert et al.   REVIEWS IN THE NEUROSCIENCES