Khaled Alsaih

499 total citations
13 papers, 335 citations indexed

About

Khaled Alsaih is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Khaled Alsaih has authored 13 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cognitive Neuroscience. Recurrent topics in Khaled Alsaih's work include Retinal Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (3 papers) and Medical Image Segmentation Techniques (3 papers). Khaled Alsaih is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (3 papers) and Medical Image Segmentation Techniques (3 papers). Khaled Alsaih collaborates with scholars based in France, Malaysia and Iraq. Khaled Alsaih's co-authors include Fabrice Mériaudeau, Norashikin Yahya, Zia U. Khan, Ibrahima Faye, G Lemaître, Mojdeh Rastgoo, Désiré Sidibé, Joan Massich, Syed Saad Azhar Ali and Tong Boon Tang and has published in prestigious journals such as IEEE Access, Sensors and Computer Methods and Programs in Biomedicine.

In The Last Decade

Khaled Alsaih

12 papers receiving 330 citations

Peers

Countries citing papers authored by Khaled Alsaih

Since Specialization

Citations

This map shows the geographic impact of Khaled Alsaih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Khaled Alsaih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Alsaih more than expected).

Fields of papers citing papers by Khaled Alsaih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khaled Alsaih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Khaled Alsaih. The network helps show where Khaled Alsaih may publish in the future.

Co-authorship network of co-authors of Khaled Alsaih

This figure shows the co-authorship network connecting the top 25 collaborators of Khaled Alsaih. A scholar is included among the top collaborators of Khaled Alsaih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Khaled Alsaih. Khaled Alsaih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Patch-Based and Non-Patch-Based Inputs Comparison Into Deep Neural Models: Application for the Segmentation of Retinal Diseases on Optical Coherence Tomography Volumes 2025 ·Khaled Alsaih, Fares Al-Shargie, (unknown), (unknown)	0
2	Classification of BOLD FMRI Signals using Wavelet Transform and Transfer Learning for Detection of Autism Spectrum Disorder 2021 ·(unknown), Norashikin Yahya, Ibrahima Faye, Zia U. Khan, Khaled Alsaih	22
3	Social Anxiety Disorder Evaluation using Effective Connectivity Measures: EEG Phase Slope Index Study 2021 ·(unknown), Norashikin Yahya, Nidal Kamel, Ibrahima Faye, Khaled Alsaih, (unknown)	5
4	Severity Assessment of Social Anxiety Disorder Using Deep Learning Models on Brain Effective Connectivity 2021 ·IEEE Access ·(unknown), Norashikin Yahya, Nidal Kamel, Ibrahima Faye, Khaled Alsaih, (unknown)	21
5	Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review 2021 ·IEEE Access ·Zia U. Khan, Norashikin Yahya, Khaled Alsaih, (unknown), Fabrice Mériaudeau	42
6	Electrooculography-based Eye Movement Classification using Deep Learning Models 2021 ·(unknown), Nidal Kamel, (unknown), Khaled Alsaih, Norashikin Yahya	12
7	Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans 2020 ·Computer Methods and Programs in Biomedicine ·Khaled Alsaih, Mohd Zuki Yusoff, Tong Boon Tang, Ibrahima Faye, Fabrice Mériaudeau	34
8	Performance Evaluation Of Convolutions And Atrous Convolutions In Deep Networks For Retinal Disease Segmentation On Optical Coherence Tomography Volumes 2020 ·PubMed ·Khaled Alsaih, Mohd Zuki Yusoff, Tong Boon Tang, Ibrahima Faye, Fabrice Mériaudeau	4
9	Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI 2020 ·Sensors ·Zia U. Khan, Norashikin Yahya, Khaled Alsaih, Syed Saad Azhar Ali, Fabrice Mériaudeau	53
10	Retinal Fluid Segmentation Using Ensembled 2-Dimensionally and 2.5-Dimensionally Deep Learning Networks 2020 ·IEEE Access ·Khaled Alsaih, Mohd Zuki Yusoff, Ibrahima Faye, Tong Boon Tang, Fabrice Mériaudeau	14
11	Zonal Segmentation of Prostate T2W-MRI using Atrous Convolutional Neural Network 2019 ·Zia U. Khan, Norashikin Yahya, Khaled Alsaih, Fabrice Mériaudeau	10
12	Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images 2017 ·BioMedical Engineering OnLine ·Khaled Alsaih, G Lemaître, Mojdeh Rastgoo, Joan Massich, Désiré Sidibé, Fabrice Mériaudeau	93
13	Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: Application to DME detections 2016 ·PubMed ·Khaled Alsaih, G Lemaître, (unknown), Mojdeh Rastgoo, Désiré Sidibé, Tien Yin Wong, Ecosse L. Lamoureux, Dan Miléa, Carol Y. Cheung, Fabrice Mériaudeau	25

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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