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Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

Abdul Muiz Fayyaz, Said Jadid Abdulkadir, Shahab Ul Hassan, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Lareib Fatima Talib

Abel Jaba Deva Krupa, Bhoovi Chauhan, Shaik Khaja Saif Azam, R. Monika, Samiappan Dhanalakshmi

Dina A. Ragab, Salema Fayed, Noha Ghatwary

Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, Asiya Batool, Anabia Sohail, Muhammad Waleed Khan

Huseyin Yasar, Murat Ceylan

Kumar Keshamoni, Koteswara Rao, D. Subba Rao

Kuo-Hsuan Lin, Nan-Han Lu, Takahide Okamoto, Yung-Hui Huang, Kuo-Ying Liu, Akari Matsushima, Che-Cheng Chang, Tai-Been Chen

Farida Siddiqi Prity, Nishu Nath, Antara Nath, K. M. Aslam Uddin

Ashwini Kumar Pradhan, Kaberi Das, Debahuti Mishra, Premkumar Chithaluru

Xinwei Chen, Qiang Yu, Juan Peng, Zhiyang He, Quanjiang Li, Youquan Ning, Jinming Gu, Fajin Lv, Huan Jiang, Kai Xie

Ahmed H. Salama, Dina A. Ragab, Nancy M. Abdel-Moneim

Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, Alessio Pasche, Pietro S. C. Danna, Sushant Agarwal, Lopamudra Mohanty, Nillmani, Neeraj Sharma, Sarita Yadav, Achin Jain, Ashish Kumar, Mannudeep K. Kalra, David W. Sobel, John R. Laird, Inder M. Singh, Narpinder Singh, George Tsoulfas, Mostafa M. Fouda, Azra Alizad, George D. Kitas, Narendra N. Khanna, Klaudija Viskovic, Melita Kukuljan, Mustafa Al-Maini, Ayman El-Baz, Luca Saba, Jasjit S. Suri

Arthur A. M. Teodoro, Douglas H. Silva, Muhammad Saadi, Ogobuchi D. Okey, Renata L. Rosa, Sattam Al Otaibi, Demóstenes Z. Rodríguez

Marina M. M. Rocha, Gabriel Landini, Joao B. Florindo

Saleh Almuayqil, Sameh Abd El-Ghany, Abdulaziz Shehab

Yanfu Wu, Qun Dai, Han Lu

Josué Ruano, John Arcila, David Romo-Bucheli, Carlos Vargas, Jefferson Rodríguez, Óscar Mendoza, Miguel Plazas, Lola Bautista, Jorge Villamizar, Gabriel Pedraza, Alejandra Moreno, Diana Valenzuela, Lina Vázquez, Carolina Valenzuela-Santos, Paul Camacho, Daniel Mantilla, Fabio Martínez Carrillo

Hongyan Xu, Dadong Wang, Arcot Sowmya

Qiaolan Wang, Jingxuan Ma, Luoning Zhang, Linshen Xie

Omneya Attallah, Ahmed Samir

Ameer Hamza, Muhammad Attique Khan, Shui-Hua Wang, Abdullah Alqahtani, Shtwai Alsubai, Adel Binbusayyis, Hany S. Hussein, Thomas Markus Martinetz, Hammam Alshazly

Akella S. Narasimha Raju, Kayalvizhi Jayavel, T. Rajalakshmi

Luís Vinícius de Moura, Christian Mattjie, Caroline Machado Dartora, Rodrigo C. Barros, Ana Maria Marques da Silva

Omneya Attallah, Shaza Zaghlool

Anita S. Kini, A. Nanda Gopal Reddy, Manjit Kaur, S. Satheesh, Jagendra Singh, Thomas Martinetz, Hammam Alshazly

Omneya Attallah, Maha Sharkas

Mateusz Winder, Aleksander Jerzy Owczarek, Jerzy Chudek, Joanna Pilch-Kowalczyk, Jan Baron

Amir Masoud Rahmani, Elham Azhir, Saqib Ali, Mokhtar Mohammadi, Omed Hassan Ahmed, Marwan Yassin Ghafour, Sarkar Hasan Ahmed, Mehdi Hosseinzadeh

K. Shankar, Eswaran Perumal, Vicente García Díaz, Prayag Tiwari, Deepak Gupta, Abdul Khader Jilani Saudagar, Khan Muhammad

Hongwei Guo, Hongyang Bai, Weiwei Qin

Omneya Attallah, Maha Sharkas

Hammam Alshazly, Christoph Linse, Mohamed Abdalla, Erhardt Barth, Thomas Martinetz

Vinay Arora, Eddie Yin-Kwee Ng, Rohan Singh Leekha, Medhavi Darshan, Arshdeep Singh

Hao Fu, Weiming Mi, Boju Pan, Yucheng Guo, Junjie Li, Rongyan Xu, Jie Zheng, Chunli Zou, Tao Zhang, Zhiyong Liang, Junzhong Zou, Hao Zou

Omneya Attallah, Fatma Anwar, Nagia M. Ghanem, Mohamed A. Ismail

2025	Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization IEEE Access Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly
2025	Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis BMC Medical Imaging Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan
2025	The role of advanced machine learning in COVID-19 medical imaging: A technical review Results in Engineering Abdul Muiz Fayyaz, Said Jadid Abdulkadir, Shahab Ul Hassan, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Lareib Fatima Talib
2025	Lecture Notes in Networks and Systems Abel Jaba Deva Krupa, Bhoovi Chauhan, Shaik Khaja Saif Azam, R. Monika, Samiappan Dhanalakshmi
2024	Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms Multimedia Tools and Applications Lamiaa Abdel-Hamid
2024	DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification Journal of Imaging Informatics in Medicine Dina A. Ragab, Salema Fayed, Noha Ghatwary
2024	A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron Journal of Experimental & Theoretical Artificial Intelligence Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, Asiya Batool, Anabia Sohail, Muhammad Waleed Khan
2024	COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features Computation Sadiq Alinsaif
2024	Deep Learning–Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images Cognitive Computation Huseyin Yasar, Murat Ceylan
2024	Lecture Notes in Networks and Systems Kumar Keshamoni, Koteswara Rao, D. Subba Rao
2023	Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography Healthcare Kuo-Hsuan Lin, Nan-Han Lu, Takahide Okamoto, Yung-Hui Huang, Kuo-Ying Liu, Akari Matsushima, Che-Cheng Chang, Tai-Been Chen
2023	Neural network-based strategies for automatically diagnosing of COVID-19 from X-ray images utilizing different feature extraction algorithms Network Modeling Analysis in Health Informatics and Bioinformatics Farida Siddiqi Prity, Nishu Nath, Antara Nath, K. M. Aslam Uddin
2023	Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification Expert Systems Ashwini Kumar Pradhan, Kaberi Das, Debahuti Mishra, Premkumar Chithaluru
2023	A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma Academic Radiology Xinwei Chen, Qiang Yu, Juan Peng, Zhiyang He, Quanjiang Li, Youquan Ning, Jinming Gu, Fajin Lv, Huan Jiang, Kai Xie
2023	Urban spaces as a positive catalyst during pandemics: Assessing the community’s well-being by using artificial intelligence techniques Ain Shams Engineering Journal Ahmed H. Salama, Dina A. Ragab, Nancy M. Abdel-Moneim
2023	Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework Diagnostics Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, Alessio Pasche, Pietro S. C. Danna, Sushant Agarwal, Lopamudra Mohanty, Nillmani, Neeraj Sharma, Sarita Yadav, Achin Jain, Ashish Kumar, Mannudeep K. Kalra, David W. Sobel, John R. Laird, Inder M. Singh, Narpinder Singh, George Tsoulfas, Mostafa M. Fouda, Azra Alizad, George D. Kitas, Narendra N. Khanna, Klaudija Viskovic, Melita Kukuljan, Mustafa Al-Maini, Ayman El-Baz, Luca Saba, Jasjit S. Suri
2023	An Analysis of Image Features Extracted by CNNs to Design Classification Models for COVID-19 and Non-COVID-19 Journal of Signal Processing Systems Arthur A. M. Teodoro, Douglas H. Silva, Muhammad Saadi, Ogobuchi D. Okey, Renata L. Rosa, Sattam Al Otaibi, Demóstenes Z. Rodríguez
2023	Medical image classification using a combination of features from convolutional neural networks Multimedia Tools and Applications Marina M. M. Rocha, Gabriel Landini, Joao B. Florindo
2023	GabROP: Gabor Wavelets-Based CAD for Retinopathy of Prematurity Diagnosis via Convolutional Neural Networks Diagnostics Omneya Attallah
2023	Multimodality Imaging of COVID-19 Using Fine-Tuned Deep Learning Models Diagnostics Saleh Almuayqil, Sameh Abd El-Ghany, Abdulaziz Shehab
2023	COVID-19 diagnosis utilizing wavelet-based contrastive learning with chest CT images Chemometrics and Intelligent Laboratory Systems Yanfu Wu, Qun Dai, Han Lu
2023	RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics Chemometrics and Intelligent Laboratory Systems Omneya Attallah
2022	Deep learning representations to support COVID-19 diagnosis on CT slices Biomédica Josué Ruano, John Arcila, David Romo-Bucheli, Carlos Vargas, Jefferson Rodríguez, Óscar Mendoza, Miguel Plazas, Lola Bautista, Jorge Villamizar, Gabriel Pedraza, Alejandra Moreno, Diana Valenzuela, Lina Vázquez, Carolina Valenzuela-Santos, Paul Camacho, Daniel Mantilla, Fabio Martínez Carrillo
2022	A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images DIGITAL HEALTH Omneya Attallah
2022	2022 International Joint Conference on Neural Networks (IJCNN) Hongyan Xu, Dadong Wang, Arcot Sowmya
2022	Diagnostic performance of corona virus disease 2019 chest computer tomography image recognition based on deep learning: Systematic review and meta-analysis Medicine Qiaolan Wang, Jingxuan Ma, Luoning Zhang, Linshen Xie
2022	A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices Applied Soft Computing Omneya Attallah, Ahmed Samir
2022	COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization Frontiers in Public Health Ameer Hamza, Muhammad Attique Khan, Shui-Hua Wang, Abdullah Alqahtani, Shtwai Alsubai, Adel Binbusayyis, Hany S. Hussein, Thomas Markus Martinetz, Hammam Alshazly
2022	ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration Computers in Biology and Medicine Omneya Attallah
2022	ColoRectalCADx: Expeditious Recognition of Colorectal Cancer with Integrated Convolutional Neural Networks and Visual Explanations Using Mixed Dataset Evidence Computational and Mathematical Methods in Medicine Akella S. Narasimha Raju, Kayalvizhi Jayavel, T. Rajalakshmi
2022	An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques Biosensors Omneya Attallah
2022	2022 The 12th International Conference on Information Communication and Management Omneya Attallah
2022	Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography Frontiers in Digital Health Luís Vinícius de Moura, Christian Mattjie, Caroline Machado Dartora, Rodrigo C. Barros, Ana Maria Marques da Silva
2022	A deep learning-based diagnostic tool for identifying various diseases via facial images DIGITAL HEALTH Omneya Attallah
2022	AI-Based Pipeline for Classifying Pediatric Medulloblastoma Using Histopathological and Textural Images Life Omneya Attallah, Shaza Zaghlool
2022	Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework Contrast Media & Molecular Imaging Anita S. Kini, A. Nanda Gopal Reddy, Manjit Kaur, S. Satheesh, Jagendra Singh, Thomas Martinetz, Hammam Alshazly
2021	GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases PeerJ Computer Science Omneya Attallah, Maha Sharkas
2021	Are We Overdoing It? Changes in Diagnostic Imaging Workload during the Years 2010–2020 including the Impact of the SARS-CoV-2 Pandemic Healthcare Mateusz Winder, Aleksander Jerzy Owczarek, Jerzy Chudek, Joanna Pilch-Kowalczyk, Jan Baron
2021	Artificial intelligence approaches and mechanisms for big data analytics: a systematic study PeerJ Computer Science Amir Masoud Rahmani, Elham Azhir, Saqib Ali, Mokhtar Mohammadi, Omed Hassan Ahmed, Marwan Yassin Ghafour, Sarkar Hasan Ahmed, Mehdi Hosseinzadeh
2021	CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes Frontiers in Neuroinformatics Omneya Attallah
2021	An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images Applied Soft Computing K. Shankar, Eswaran Perumal, Vicente García Díaz, Prayag Tiwari, Deepak Gupta, Abdul Khader Jilani Saudagar, Khan Muhammad
2021	MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and its Subtypes via AI Diagnostics Omneya Attallah
2021	ClouDet: A Dilated Separable CNN-Based Cloud Detection Framework for Remote Sensing Imagery IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Hongwei Guo, Hongyang Bai, Weiwei Qin
2021	Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories Contrast Media & Molecular Imaging Omneya Attallah, Maha Sharkas
2021	COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans PeerJ Computer Science Hammam Alshazly, Christoph Linse, Mohamed Abdalla, Erhardt Barth, Thomas Martinetz
2021	Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan Computers in Biology and Medicine Vinay Arora, Eddie Yin-Kwee Ng, Rohan Singh Leekha, Medhavi Darshan, Arshdeep Singh
2021	Automatic Pancreatic Ductal Adenocarcinoma Detection in Whole Slide Images Using Deep Convolutional Neural Networks Frontiers in Oncology Hao Fu, Weiming Mi, Boju Pan, Yucheng Guo, Junjie Li, Rongyan Xu, Jie Zheng, Chunli Zou, Tao Zhang, Zhiyong Liang, Junzhong Zou, Hao Zou
2021	Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images PeerJ Computer Science Omneya Attallah, Fatma Anwar, Nagia M. Ghanem, Mohamed A. Ismail
2021	DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity Diagnostics Omneya Attallah

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