Moulay Akhloufi

Professor

Université de Moncton

Canada

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Moulay Akhloufi is a Professor at the University of Moncton, Canada. His research areas encompass deep learning applications in medical diagnostics, with recent publications focused on gene expression prediction in breast cancer, gastrointestinal disease detection using endoscopic imaging, and advanced segmentation techniques in medical imaging. Additionally, he explores the integration of artificial intelligence in wildfire spread prediction and autonomous vehicle technologies.

Moulay Akhloufi

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Articles (30)

Quantum-Enhanced Dual-Backbone Architecture for Accurate Gastrointestinal Disease Detection Using Endoscopic Imaging

LinU-Mamba: Visual Mamba U-Net with Linear Attention to Predict Wildfire Spread

Semantic segmentation of human blastocyst images using deep CNNs and vision transformers

Multimodal Artificial Intelligence in Medical Diagnostics

EMGP-Net: A Hybrid Deep Learning Architecture for Breast Cancer Gene Expression Prediction

GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer

SALM: A Unified Model for 2D and 3D Region of Interest Segmentation in Lung CT Scans Using Vision Transformers

Advances in Remote Sensing and Deep Learning in Coastal Boundary Extraction for Erosion Monitoring

Predicting Pedestrian Crossing Intention in Autonomous Vehicles: A Review

A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures

A Hybrid Deep Learning Architecture for Apple Foliar Disease Detection

SWIFT: Simulated Wildfire Images for Fast Training Dataset

Recent Advances in Large Language Models for Healthcare

YOLO-Based Models for Smoke and Wildfire Detection in Ground and Aerial Images

Fire and Smoke Detection Using Fine-Tuned YOLOv8 and YOLOv7 Deep Models

Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review

Factors Associated with Unplanned Hospital Readmission after Discharge: A Descriptive and Predictive Study Using Electronic Health Record Data

Malicious UAV detection using various modalities

Breast cancer classification on thermograms using deep CNN and transformers

DCTable: A Dilated CNN with Optimizing Anchors for Accurate Table Detection

Improving wildland fire spread prediction using deep U-Nets

Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture

Peer-to-Peer Federated Learning for COVID-19 Detection Using Transformers

Deep Learning Approaches for Wildland Fires Using Satellite Remote Sensing Data: Detection, Mapping, and Prediction

An Efficient COVID-19 Mortality Risk Prediction Model Using Deep Synthetic Minority Oversampling Technique and Convolution Neural Networks

Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation

MalBERTv2: Code Aware BERT-Based Model for Malware Identification

Recent Advances in Infrared Face Analysis and Recognition with Deep Learning

End-to-End Transformer-Based Models in Textual-Based NLP

CT-Fire: a CNN-Transformer for wildfire classification on ground and aerial images

Collaborators (3)

Ala Agrebi

Fadoua Khennou

Wided Souidene Mseddi

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