activity
20222026
most citedMeta-learning in healthcare: A survey

21 citations · 24 across the 8 of their papers we have counts for

collaborators

10 papers

cs.LG2026

Smart Fault Detection in Nanosatellite Electrical Power System

Alireza Rezaee, Niloofar Nobahari, Amin Asgarifar +1

This paper presents a new detection method of faults at Nanosatellites' electrical power without an Attitude Determination Control Subsystem (ADCS) at the LEO orbit. Each part of t…

cs.LG2025

Early Prediction of Sepsis using Heart Rate Signals and Genetic Optimized LSTM Algorithm

Alireza Rafiei, Farshid Hajati, Alireza Rezaee +2

Sepsis, characterized by a dysregulated immune response to infection, results in significant mortality, morbidity, and healthcare costs. The timely prediction of sepsis progression…

cs.CV2025

Medical Image Classification on Imbalanced Data Using ProGAN and SMA-Optimized ResNet: Application to COVID-19

Sina Jahromi, Farshid Hajati, Alireza Rezaee +1

The challenge of imbalanced data is prominent in medical image classification. This challenge arises when there is a significant disparity in the number of images belonging to a pa…

cs.LG2025

Gold Price Prediction Using Long Short-Term Memory and Multi-Layer Perceptron with Gray Wolf Optimizer

Hesam Taghipour, Alireza Rezaee, Farshid Hajati

The global gold market, by its fundamentals, has long been home to many financial institutions, banks, governments, funds, and micro-investors. Due to the inherent complexity and r…

cs.LG2025

Cryptocurrency Price Prediction Using Parallel Gated Recurrent Units

Milad Asadpour, Alireza Rezaee, Farshid Hajati

According to the advent of cryptocurrencies and Bitcoin, many investments and businesses are now conducted online through cryptocurrencies. Among them, Bitcoin uses blockchain tech…

cs.LG2025

An Explainable Transformer Model for Alzheimer's Disease Detection Using Retinal Imaging

Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati +2

Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the absence of effective treatment options, early diagnosis is crucial for initiating m…

q-bio.GN2025

Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking

Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha +3

Integrating heterogeneous biomedical data including imaging, omics, and clinical records supports accurate diagnosis and personalised care. Graph-based models fuse such non-Euclide…

cs.LG2023★ 21 cited

Meta-learning in healthcare: A survey

Alireza Rafiei, Ronald Moore, Sina Jahromi +2

As a subset of machine learning, meta-learning, or learning to learn, aims at improving the model's capabilities by employing prior knowledge and experience. A meta-learning paradi…

cs.CV2023★ 3 cited

RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation

MD Wahiduzzaman Khan, Hongwei Sheng, Hu Zhang +11

Retinal vessel segmentation is generally grounded in image-based datasets collected with bench-top devices. The static images naturally lose the dynamic characteristics of retina f…

eess.SP2022

Deep conv-attention model for diagnosing left bundle branch block from 12-lead electrocardiograms

Alireza Sadeghi, Alireza Rezaee, Farshid Hajati

Cardiac resynchronization therapy (CRT) is a treatment that is used to compensate for irregularities in the heartbeat. Studies have shown that this treatment is more effective in h…