Friso De Boer

Charles Darwin University

Australia

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Articles (20)

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2025

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2024

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2023

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2023

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2022

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2022

Collaborators (10)

Francis M. Bui

University of Saskatchewan

CANADA

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Zubaer Ibna Mannan

Assistant Professor

Kyungpook National University

SOUTH KOREA

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Sami Azam

Charles Darwin University

AUSTRALIA

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amanda Leach

Professor

Charles Darwin University

AUSTRALIA

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Sheikh Mohammed Shariful Islam

Associate Professor and NHMRC Emerging Leadership Fellow

Deakin University

AUSTRALIA

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Anne B. Chang

Charles Darwin University

AUSTRALIA

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Sheikh Mohammed Shariful Islam

Deakin University

AUSTRALIA

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Mark Brady

Charles Darwin University

AUSTRALIA

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Mohaimenul Azam Khan Raiaan

Charles Darwin University

AUSTRALIA

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Eva Ignatious

Charles Darwin University

AUSTRALIA

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Friso De Boer

Research Interests

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Articles (20)

ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis

Advancing skin cancer detection integrating a novel unsupervised classification and enhanced imaging techniques

Reimagining otitis media diagnosis

Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review

Methods for Detection and Measurement of Potential Broncho-Arterial Pairs in Chest Computed Tomography Scans of Children

Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI

Methods to Measure the Broncho-Arterial Ratio and Wall Thickness in the Right Lower Lobe for Defining Radiographic Reversibility of Bronchiectasis

Camera-based interactive wall display using hand gesture recognition

Binaural masking level difference for pure tone signals

Frequency and Time Domain Analysis of EEG Based Auditory Evoked Potentials to Detect Binaural Hearing in Noise

A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time

High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images

Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung Diseases

A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images

An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot Study

Deep learning-based analysis of COVID-19 X-ray images

Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans

TSFD-Net

LungNet22

Collaborators (10)

Francis M. Bui

Zubaer Ibna Mannan

Sami Azam

amanda Leach

Sheikh Mohammed Shariful Islam

Anne B. Chang

Sheikh Mohammed Shariful Islam

Mark Brady

Mohaimenul Azam Khan Raiaan

Eva Ignatious

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