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Biomedical Texture Analysis: Fundamentals, Tools and Challenges

1, 2017

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Editorial: Reviews in cancer imaging and image-directed interventions

Frontiers in oncology, 2023-03, Vol.13, p.1183302-1183302

2023

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Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images

IEEE transactions on biomedical engineering, 2008-07, Vol.55 (7), p.1822-1830

2008

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Texture measures combination for improved meningioma classification of histopathological images

Pattern recognition, 2010-06, Vol.43 (6), p.2043-2053

Al-Kadi, Omar S.

2010

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Unpaired MR-CT brain dataset for unsupervised image translation

Data in brief, 2022-06, Vol.42, p.108109-108109, Article 108109

2022

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Spatio-Temporal Segmentation in 3-D Echocardiographic Sequences Using Fractional Brownian Motion

IEEE transactions on biomedical engineering, 2020-08, Vol.67 (8), p.2286-2296

Al-Kadi, Omar S.

2020

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A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours

Computerized medical imaging and graphics, 2015-04, Vol.41, p.67-79

Al-Kadi, Omar S

2015

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Prediction of FDG-PET stage and uptake for non-small cell lung cancer on non-contrast enhanced CT scans via fractal analysis

Clinical imaging, 2020-09, Vol.65, p.54-59

Al-Kadi, Omar S.

2020

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Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis

Computers in biology and medicine, 2021-09, Vol.136, p.104763-104763, Article 104763

2021

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Computational Fractal-Based Analysis of Brain Tumor Microvascular Networks

Advances in neurobiology, 2024, Vol.36, p.525

2024

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Fractal-Based Analysis of Histological Features of Brain Tumors

Advances in neurobiology, 2024, Vol.36, p.501

2024

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Empowering brain cancer diagnosis: harnessing artificial intelligence for advanced imaging insights

Reviews in the neurosciences, 2024-06, Vol.35 (4), p.399

2024

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Heterogeneous Tissue Characterization Using Ultrasound: A Comparison of Fractal Analysis Backscatter Models on Liver Tumors

Ultrasound in medicine & biology, 2016-07, Vol.42 (7), p.1612-1626

2016

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Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization

Medical image analysis, 2015-04, Vol.21 (1), p.59-71

2015

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Learning Style Identification Using Semisupervised Self-Taught Labeling

IEEE transactions on learning technologies, 2024, Vol.17, p.1093-1106

2024

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Learning Style Identification Using Semi-Supervised Self-Taught Labeling

IEEE transactions on learning technologies, 2024, p.1-14

2024

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Bidirectional brain image translation using transfer learning from generic pre-trained models

Computer vision and image understanding, 2024-11, Vol.248, p.104100, Article 104100

2024

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The effect of loss function on conditional generative adversarial networks

Journal of King Saud University. Computer and information sciences, 2022-10, Vol.34 (9), p.6977-6988

2022

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Quantitative ultrasound, elastography, and machine learning for assessment of steatosis, inflammation, and fibrosis in chronic liver disease

PloS one, 2022-01, Vol.17 (1), p.e0262291-e0262291

2022

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Notice of Removal: Multiscale Nakagami parametric imaging for improved liver tumor localization

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.3384-3388

Al-Kadi, Omar S.

2016

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Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis

PloS one, 2021-12, Vol.16 (12), p.e0261401-e0261401

2021

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Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision

PloS one, 2021-08, Vol.16 (8), p.e0255109-e0255109

2021

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Fractals for Biomedical Texture Analysis

Biomedical Texture Analysis, 2017

2017

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A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours

2009 16th IEEE International Conference on Image Processing (ICIP), 2009, p.4177-4180

Al-Kadi, O.S.

2009

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Histopathological prostate tissue glands segmentation for automated diagnosis

2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), 2013, p.1-6

2013

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Biomedical Texture Analysis: Fundamentals, Tools and Challenges

Editorial: Reviews in cancer imaging and image-directed interventions

Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images

Texture measures combination for improved meningioma classification of histopathological images

Unpaired MR-CT brain dataset for unsupervised image translation

Spatio-Temporal Segmentation in 3-D Echocardiographic Sequences Using Fractional Brownian Motion

A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours

Prediction of FDG-PET stage and uptake for non-small cell lung cancer on non-contrast enhanced CT scans via fractal analysis

Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis

Computational Fractal-Based Analysis of Brain Tumor Microvascular Networks

Fractal-Based Analysis of Histological Features of Brain Tumors

Empowering brain cancer diagnosis: harnessing artificial intelligence for advanced imaging insights

Heterogeneous Tissue Characterization Using Ultrasound: A Comparison of Fractal Analysis Backscatter Models on Liver Tumors

Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization

Learning Style Identification Using Semisupervised Self-Taught Labeling

Learning Style Identification Using Semi-Supervised Self-Taught Labeling

Bidirectional brain image translation using transfer learning from generic pre-trained models

The effect of loss function on conditional generative adversarial networks

Quantitative ultrasound, elastography, and machine learning for assessment of steatosis, inflammation, and fibrosis in chronic liver disease

Notice of Removal: Multiscale Nakagami parametric imaging for improved liver tumor localization

Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis

Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision

Fractals for Biomedical Texture Analysis

A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours

Histopathological prostate tissue glands segmentation for automated diagnosis

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