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Malika Bendechache

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Assistant Professor/Lecturer Above the Bar

National University of Ireland Galway

Ireland

Research Interests

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Professors in Ireland Professors in Medical Imaging Medical Imaging professors in Ireland

About

Dr. Malika Bendechache is an Assistant Professor at the National University of Ireland, Galway, specializing in medical imaging, machine learning, and ethical frameworks in healthcare technology. Her recent research includes advancements in multi-modal medical image fusion, explainable AI in breast tumor segmentation, and a systematic review of disease detection via retinal imaging. She is also focused on the intersection of artificial intelligence and organizational trust, alongside ethical considerations in blockchain applications within healthcare.

Recent Grants

Grant: Close

SFI COVID19 Rapid Response

Open Date: 2020-07-01

Close Date: 2020-12-01

Articles (35)

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Collaborators (7)

Regina Connolly

Professor

Dublin City University Business School

IRELAND

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Muhammad Ovais Ahmad

Karlstad University

SWEDEN

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Muhammad Owais

Research Scientist at Khalifa University Center for Autonomous Robotic Systems (KUCARS)

Khalifa University

UNITED ARAB EMIRATES

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Takfarinas SABER

Lecturer

Ollscoil na Gaillimhe – University of Galway

IRELAND

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Rob Brennan

Lecturer/Assistant Professor

Dublin City University

IRELAND

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Ramin Ranjbarzadeh

University of Galway

IRELAND

View details

Iftikhar Ahmad

Professor

Karlstad University

SWEDEN

View details

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Malika Bendechache

Research Interests

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About

Recent Grants

Articles (35)

What’s Missing in Medical XAI? EIGradCAM for Refined, Faster, and More Reliable Explanations

EBTAG

Histopathology-correlated evaluation of magnetic resonance spectroscopy for high-grade glioma prediction: A small-scale neuro-oncology study with exploratory machine learning

Clinically aligned explainable AI for medical imaging using multi-scale attention and prototype reasoning

Convolutional Neural Networks for Accurate and Efficient Oral Histopathology Classification

A fairness-focused approach to recidivism prediction

Optimizing Fast Learning Network Using Fuzzy Adaptive Metaheuristic Algorithms for Robust Intrusion Detection

A Global-Local 3D Brain Tumor Segmentation Model Using Vision Transformers and Axial Statespace Modeling

Can AI Be Faster, Accurate, and Explainable? SpikeNet Makes it Happen

Clinalignnet

MambaUNet3D: Combining Mamba State-Space Structures with 3D UNets to Segment Brain Tumors

Optimized KiU-Net: A Convolutional Autoencoder for Retinal Vessel Segmentation in Medical Images

Sustainable Explainability in Medical Imaging: An Agentic Explainable AI Framework

A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis

Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models

Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis

Advances in disease detection through retinal imaging: A systematic review

Quantitative Data Valuation Methods: A Systematic Review and Taxonomy

Trustworthy artificial intelligence and organisational trust: a scoping review using socio-technical systems analysis

Ethical Compliance Framework for Blockchain-Enabled Tissue and Organ Transportation Systems

ALL diagnosis

Saliency-based metric and FaceKeepOriginalAugment

Facesaliencyaug

Cracking the Circuits: Mechanistic Interpretability in Large Language Models

More than just a heatmap: elevating XAI with rigorous evaluation metrics

Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review

RSMDA: Random Slices Mixing Data Augmentation

A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges

Investigation of Effectiveness of Shuffled Frog-Leaping Optimizer in Training a Convolution Neural Network

Privacy in a Time of COVID-19: How Concerned Are You?

Public attitudes towards privacy in COVID-19 times in the Republic of Ireland: A pilot study

AUDD: Audio Urdu Digits Dataset for Automatic Audio Urdu Digit Recognition

An Extended Approach to Predict Retinopathy in Diabetic Patients Using the Genetic Algorithm and Fuzzy C-Means

Lung Infection Segmentation for COVID-19 Pneumonia Based on a Cascade Convolutional Network from CT Images

Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator

Collaborators (7)

Regina Connolly

Muhammad Ovais Ahmad

Muhammad Owais

Takfarinas SABER

Rob Brennan

Ramin Ranjbarzadeh

Iftikhar Ahmad

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