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Friso De Boer

Charles Darwin University

Australia

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Research Interests

Medical Imaging

90%

Radiology

60%

Bronchoscopy

40%

Cardiac Imaging

30%

Lung Disease

30%

Noninvasive Imaging

30%

Computer-aided Diagnosis

30%

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Articles20

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

Article Link

Year:

2025

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

Article Link

Year:

2025

Reimagining otitis media diagnosis

Article Link

Year:

2024

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

Article Link

Year:

2024

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

Article Link

Year:

2024

Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI

Article Link

Year:

2024

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

Article Link

Year:

2024

Camera-based interactive wall display using hand gesture recognition

Article Link

Year:

2023

Binaural masking level difference for pure tone signals

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Year:

2023

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

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Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

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

Article Link

Year:

2023

TSFD-Net

Article Link

Year:

2022

LungNet22

Article Link

Year:

2022

Collaborators10

Francis M. Bui

University of Saskatchewan

CANADA

Zubaer Ibna Mannan

Assistant Professor

Kyungpook National University

SOUTH KOREA

Sami Azam

Charles Darwin University

AUSTRALIA

amanda Leach

Professor

Charles Darwin University

AUSTRALIA

Sheikh Mohammed Shariful Islam

Associate Professor and NHMRC Emerging Leadership Fellow

Deakin University

AUSTRALIA

Anne B. Chang

Charles Darwin University

AUSTRALIA

Sheikh Mohammed Shariful Islam

Deakin University

AUSTRALIA

Mark Brady

Charles Darwin University

AUSTRALIA

Mohaimenul Azam Khan Raiaan

Charles Darwin University

AUSTRALIA

Eva Ignatious

Charles Darwin University

AUSTRALIA

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