activity
20202026
most citedDesigning Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework

200 citations · 579 across the 46 of their papers we have counts for

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15 papers · 1 filter

cs.LG2026

UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection

Hamzeh Asgharnezhad, Pegah Tabarisaadi, Abbas Khosravi +2

Deep learning has improved automated electrocardiogram (ECG) classification, but limited insight into prediction reliability hinders its use in safety-critical settings. This paper…

cs.LG2026

SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification

Danial Sharifrazi, Nouman Javed, Mojtaba Mohammadi +5

Mosquitos are the main transmissive agents of arboviral diseases. Manual classification of their neuronal spike patterns is very labor-intensive and expensive. Most available deep…

cs.LG2025

Exploring the Relationships Between Physiological Signals During Automated Fatigue Detection

Kourosh Kakhi, Abbas Khosravi, Roohallah Alizadehsani +1

Fatigue detection using physiological signals is critical in domains such as transportation, healthcare, and performance monitoring. While most studies focus on single modalities,…

cs.LG2025

A machine learning approach for Premature Coronary Artery Disease Diagnosis according to Different Ethnicities in Iran

Mohamad Roshanzamir, Roohallah Alizadehsani, Ehsan Zarepur +6

Premature coronary artery disease (PCAD) refers to the early onset of the disease, usually before the age of 55 for men and 65 for women. Coronary Artery Disease (CAD) develops whe…

cs.LG2024

Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder

Kamala Devi Kannan, Senthil Kumar Jagatheesaperumal, Rajesh N. V. P. S. Kandala +3

For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep learning (DL) and machine learning (ML) have started playing a significan…

cs.LG2023

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis

Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani +3

Mosquito-borne diseases present considerable risks to the health of both animals and humans. Aedes aegypti mosquitoes are the primary vectors for numerous medically important virus…