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ORCIDOmar S. Al-Kadi
Person information
- affiliation: University of Jordan, King Abdullah II School for Information Technology, Amman, Jordan
- affiliation: University of Oxford, Institute of Biomedical Engineering, Oxford, UK
- affiliation (PhD): University of Sussex, UK
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2020 – today
- 2025
[j17]Israa Al Badarneh
, Bassam H. Hammo, Omar S. Al-Kadi:
An ensemble model with attention based mechanism for image captioning. Comput. Electr. Eng. 123: 110077 (2025)- [j16]Abdel Rahman Alsabbagh, Tariq Mansour, Mohammad Al-Kharabsheh, Abdel Salam Ebdah, Roa'a Al-Emaryeen, Sara Al-Nahhas, Waleed Mahafza, Omar S. Al-Kadi:
MiniMedGPT: Efficient Large Vision-Language Model for medical Visual Question Answering. Pattern Recognit. Lett. 189: 8-16 (2025) - [i20]Feda Bolus Al Baqain, Omar Sultan Al-Kadi:
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation. CoRR abs/2501.12415 (2025) - [i19]Fatima Haimour, Rizik M. H. Al-Sayyed, Waleed Mahafza, Omar S. Al-Kadi:
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models. CoRR abs/2501.12488 (2025) - [i18]Israa Al Badarneh, Bassam Hammo, Omar S. Al-Kadi:
An Ensemble Model with Attention Based Mechanism for Image Captioning. CoRR abs/2501.14828 (2025) - 2024
- [j15]Fatima Haimour, Rizik M. H. Al-Sayyed, Waleed Mahafza, Omar S. Al-Kadi:
Bidirectional brain image translation using transfer learning from generic pre-trained models. Comput. Vis. Image Underst. 248: 104100 (2024) - [j14]Hani Ayyoub, Omar S. Al-Kadi:
Learning Style Identification Using Semisupervised Self-Taught Labeling. IEEE Trans. Learn. Technol. 17: 1093-1106 (2024) - [i17]Hani Y. Ayyoub, Omar S. Al-Kadi:
Learning Style Identification Using Semi-Supervised Self-Taught Labeling. CoRR abs/2402.14597 (2024) - [i16]Abdel Rahman Alsabbagh, Omar S. Al-Kadi:
Comparative Analysis of Deep Convolutional Neural Networks for Detecting Medical Image Deepfakes. CoRR abs/2406.08758 (2024) - 2023
- [j13]Abdullah Alzaqebah, Ibrahim Aljarah, Omar S. Al-Kadi:
A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization. Comput. Secur. 124: 102957 (2023) - [j12]Abdullah Alzaqebah, Omar S. Al-Kadi, Ibrahim Aljarah:
An enhanced Harris hawk optimizer based on extreme learning machine for feature selection. Prog. Artif. Intell. 12(1): 77-97 (2023) - [d3]Hani Ayyoub, Omar S. Al-Kadi:
Learning Style Identification. IEEE DataPort, 2023
- [i15]Roa'a Al-Emaryeen, Sara Al-Nahhas, Fatima Himour, Waleed Mahafza, Omar S. Al-Kadi:
Deepfake Image Generation for Improved Brain Tumor Segmentation. CoRR abs/2307.14273 (2023) - 2022
- [j11]Alaa Abu-Srhan, Mohammad A. M. Abushariah, Omar S. Al-Kadi:
The effect of loss function on conditional generative adversarial networks. J. King Saud Univ. Comput. Inf. Sci. 34(9): 6977-6988 (2022) - 2021
- [j10]Seif Eldawlatly, Mohamed Abouelhoda, Omar S. Al-Kadi, Takashi Gojobori, Boris R. Jankovic, Mohamad Khalil, Ahsan H. Khandoker, Ahmed Morsy:
Biomedical computing in the Arab world: unlocking the potential of a growing research community. Commun. ACM 64(4): 108-113 (2021) - [j9]Alaa Abu-Srhan, Israa Almallahi, Mohammad A. M. Abushariah, Waleed Mahafza, Omar S. Al-Kadi:
Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis. Comput. Biol. Medicine 136: 104763 (2021) - [d2]Omar S. Al-Kadi:
Unpaired MR-CT Brain Dataset for Unsupervised Image Translation. IEEE DataPort, 2021 - [d1]Omar S. Al-Kadi, Waleed Mahafza:
Unpaired MR-CT Brain Dataset for Unsupervised Image Translation. IEEE DataPort, 2021 - 2020
- [j8]Bilal Abu-Salih, Kit Yan Chan, Omar S. Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal:
Time-aware domain-based social influence prediction. J. Big Data 7(1): 10 (2020) - [j7]Omar S. Al-Kadi:
Spatio-Temporal Segmentation in 3-D Echocardiographic Sequences Using Fractional Brownian Motion. IEEE Trans. Biomed. Eng. 67(8): 2286-2296 (2020) - [i14]Bilal Abu-Salih, Kit Yan Chan, Omar S. Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal:
An Approach for Time-aware Domain-based Social Influence Prediction. CoRR abs/2001.07838 (2020) - [i13]Omar S. Al-Kadi:
Knowledge Management Systems Requirements Specifications. CoRR abs/2004.08961 (2020)
2010 – 2019
- 2019
- [i12]Omar S. Al-Kadi:
Multiscale Nakagami parametric imaging for improved liver tumor localization. CoRR abs/1906.04333 (2019) - [i11]Omar S. Al-Kadi, Daniel Y. F. Chung, Constantin-C. Coussios, J. Alison Noble:
Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors. CoRR abs/1912.09903 (2019) - [i10]Omar S. Al-Kadi:
Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion. CoRR abs/1912.10220 (2019) - 2018
- [c5]Omar S. Al-Kadi, Allen Lu, Albert J. Sinusas, James S. Duncan:
Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion. STACOM@MICCAI 2018: 77-84 - 2017
- [i9]Omar S. Al-Kadi:
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination. CoRR abs/1704.05122 (2017) - 2016
- [c4]Omar S. Al-Kadi, Dimitri Van De Ville, Adrien Depeursinge:
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment. MICCAI (1) 2016: 619-626 - [i8]Omar S. Al-Kadi, D. Watson:
Susceptibility of texture measures to noise: an application to lung tumor CT images. CoRR abs/1601.00210 (2016) - [i7]Omar S. Al-Kadi:
A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours. CoRR abs/1601.00211 (2016) - [i6]Omar S. Al-Kadi:
Supervised Texture Segmentation: A Comparative Study. CoRR abs/1601.00212 (2016) - [i5]Omar S. Al-Kadi, Daniel Y. F. Chung, Robert C. Carlisle, Constantin-C. Coussios, J. Alison Noble:
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization. CoRR abs/1601.03531 (2016) - 2015
- [j6]Omar S. Al-Kadi:
A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours. Comput. Medical Imaging Graph. 41: 67-79 (2015) - [j5]Omar S. Al-Kadi, Daniel Y. F. Chung, Robert C. Carlisle, Constantin-C. Coussios, J. Alison Noble:
Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization. Medical Image Anal. 21(1): 59-71 (2015) - [i4]Omar Sultan Al-Kadi:
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images. CoRR abs/1512.08047 (2015) - [i3]Omar S. Al-Kadi:
Texture measures combination for improved meningioma classification of histopathological images. CoRR abs/1512.08049 (2015) - [i2]Omar S. Al-Kadi:
A Multiresolution Clinical Decision Support System Based on Fractal Model Design for Classification of Histological Brain Tumours. CoRR abs/1512.08051 (2015) - [i1]Omar S. Al-Kadi:
Combined statistical and model based texture features for improved image classification. CoRR abs/1512.08814 (2015) - 2014
- [j4]Omar S. Al-Kadi, Osama Al-Kadi, Rizik M. H. Al-Sayyed, Ja'far Alqatawna:
Road scene analysis for determination of road traffic density. Frontiers Comput. Sci. 8(4): 619-628 (2014) - 2012
- [c3]Raja' S. Alomari, Subarna Ghosh, Vipin Chaudhary, Omar S. Al-Kadi:
Local binary patterns for stromal area removal in histology images. Computer-Aided Diagnosis 2012: 831524 - 2010
- [j3]Omar Sultan Al-Kadi:
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images. Comput. Medical Imaging Graph. 34(6): 494-503 (2010) - [j2]Omar S. Al-Kadi:
Texture measures combination for improved meningioma classification of histopathological images. Pattern Recognit. 43(6): 2043-2053 (2010)
2000 – 2009
- 2009
- [c2]Omar S. Al-Kadi:
A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours. ICIP 2009: 4177-4180 - 2008
- [j1]Omar S. Al-Kadi, D. Watson:
Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images. IEEE Trans. Biomed. Eng. 55(7): 1822-1830 (2008) - [c1]Omar S. Al-Kadi, D. Watson:
Susceptibility of texture measures to noise: An application to lung tumor CT images. BIBE 2008: 1-4
Coauthor Index
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