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Akella S. Narasimha Raju, K Venkatesh, Ranjith Kumar Gatla, Shaik Jakeer Hussain, Subba Rao Polamuri

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

Yang-Yang Wang, Bin Liu, Ji-Han Wang

Harsha Vardhini, Sophia

Akella S. Narasimha Raju, Kayalvizhi Jayavel, Thulasi Rajalakshmi, M. Rajababu

Akella S. Narasimha Raju, Shaik Jakeer Hussain, M. Rajababu, Ranjith Kumar Gatla, K. Venkatesh, Venkataramana Guntreddi

Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf

Omneya Attallah, Muhammet Fatih Aslan, Kadir Sabanci

Jianfei Wang, Yunyun Yang, Zhiping He

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

Vishesh Tanwar, Bhisham Sharma, Dhirendra Prasad Yadav, Abolfazl Mehbodniya

Akella Subrahmanya Narasimha Raju, K. Venkatesh, B. Padmaja, CH. N. Santhosh Kumar, Pattabhi Rama Mohan Patnala, Ayodele Lasisi, Saiful Islam, Abdul Razak, Wahaj Ahmad Khan

Akella S. Narasimha Raju, M. Rajababu, Ashish Acharya, Sajja Suneel

Akella S. Narasimha Raju, K. Venkatesh, B. Padmaja, G. Sucharitha Reddy

Kumar Keshamoni, Koteswara Rao, D. Subba Rao

Maha Sharkas, Omneya Attallah

Bachu Ganesh, R Annamalai, Senthil Jayapal

Omneya Attallah, Maha Sharkas, Mona Khalil Mohamed, Tarek Omar

Akella Subrahmanya Narasimha Raju, Kaliyamurthy Venkatesh

Dara Varam, Rohan Mitra, Meriam Mkadmi, Radi Aman Riyas, Diaa Addeen Abuhani, Salam Dhou, Ayman Alzaatreh

Subhashree Mohapatra, Girish Kumar Pati, Manohar Mishra, Tripti Swarnkar

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

Britt B.S. L. Houwen, Karlijn J. Nass, Jasper L.A. Vleugels, Paul Fockens, Yark Hazewinkel, Evelien Dekker

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

Akella S. Narasimha Raju, Kayalvizhi Jayavel, Thulasi Rajalakshmi

Deepanshu, Kulvinder Singh, Sanjeev Dhawan

Guillem Pascual, Pablo Laiz, Albert García, Hagen Wenzek, Jordi Vitrià, Santi Seguí

Omneya Attallah, Ahmed Samir

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

Omneya Attallah, Maha Sharkas

2025	Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images Cognitive Computation Akella S. Narasimha Raju, K Venkatesh, Ranjith Kumar Gatla, Shaik Jakeer Hussain, Subba Rao Polamuri
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	Application of deep learning-based convolutional neural networks in gastrointestinal disease endoscopic examination World Journal of Gastroenterology Yang-Yang Wang, Bin Liu, Ji-Han Wang
2025	2025 International Conference on Electronics and Renewable Systems (ICEARS) Harsha Vardhini, Sophia
2025	Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection Scientific Reports Omneya Attallah
2025	CRCFusionAICADx: Integrative CNN-LSTM Approach for Accurate Colorectal Cancer Diagnosis in Colonoscopy Images Cognitive Computation Akella S. Narasimha Raju, Kayalvizhi Jayavel, Thulasi Rajalakshmi, M. Rajababu
2025	CADxPolydetect: a clinically explainable hybrid deep learning system for multi-class colorectal lesion detection using augmented colonoscopy images BMC Medical Informatics and Decision Making Akella S. Narasimha Raju, Shaik Jakeer Hussain, M. Rajababu, Ranjith Kumar Gatla, K. Venkatesh, Venkataramana Guntreddi
2025	A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx Scientific Reports Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf
2025	EndoNet: A Multiscale Deep Learning Framework for Multiple Gastrointestinal Disease Classification via Endoscopic Images Diagnostics Omneya Attallah, Muhammet Fatih Aslan, Kadir Sabanci
2025	Imaging-based risk assessment of intestinal obstruction: The impact mechanisms of clozapine-class drugs and nutritional elements Medicine Jianfei Wang, Yunyun Yang, Zhiping He
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	Enhanced gastrointestinal disease classification using a convvit hybrid model on endoscopic images Physical and Engineering Sciences in Medicine Anıl Utku
2025	Hybrid deep learning framework based on EfficientViT for classification of gastrointestinal diseases Scientific Reports Vishesh Tanwar, Bhisham Sharma, Dhirendra Prasad Yadav, Abolfazl Mehbodniya
2024	Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition Scientific Reports Akella Subrahmanya Narasimha Raju, K. Venkatesh, B. Padmaja, CH. N. Santhosh Kumar, Pattabhi Rama Mohan Patnala, Ayodele Lasisi, Saiful Islam, Abdul Razak, Wahaj Ahmad Khan
2024	Enhancing Colorectal Cancer Diagnosis With Feature Fusion and Convolutional Neural Networks Journal of Sensors Akella S. Narasimha Raju, M. Rajababu, Ashish Acharya, Sajja Suneel
2024	GIEnsemformerCADx: A hybrid ensemble learning approach for enhanced gastrointestinal cancer recognition Multimedia Tools and Applications Akella S. Narasimha Raju, K. Venkatesh, B. Padmaja, G. Sucharitha Reddy
2024	Lecture Notes in Networks and Systems Kumar Keshamoni, Koteswara Rao, D. Subba Rao
2024	Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform Scientific Reports Maha Sharkas, Omneya Attallah
2024	2024 IEEE International Conference on Contemporary Computing and Communications (InC4) Bachu Ganesh, R Annamalai, Senthil Jayapal
2023	2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) Omneya Attallah, Maha Sharkas, Mona Khalil Mohamed, Tarek Omar
2023	GabROP: Gabor Wavelets-Based CAD for Retinopathy of Prematurity Diagnosis via Convolutional Neural Networks Diagnostics Omneya Attallah
2023	EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset Bioengineering Akella Subrahmanya Narasimha Raju, Kaliyamurthy Venkatesh
2023	Wireless Capsule Endoscopy Image Classification: An Explainable AI Approach IEEE Access Dara Varam, Rohan Mitra, Meriam Mkadmi, Radi Aman Riyas, Diaa Addeen Abuhani, Salam Dhou, Ayman Alzaatreh
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
2023	Gastrointestinal abnormality detection and classification using empirical wavelet transform and deep convolutional neural network from endoscopic images Ain Shams Engineering Journal Subhashree Mohapatra, Girish Kumar Pati, Manohar Mishra, Tripti Swarnkar
2023	Multitask Deep Learning-Based Pipeline for Gas Leakage Detection via E-Nose and Thermal Imaging Multimodal Fusion Chemosensors Omneya Attallah
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	MonDiaL-CAD: Monkeypox diagnosis via selected hybrid CNNs unified with feature selection and ensemble learning DIGITAL HEALTH Omneya Attallah
2023	Application of Artificial Intelligence in Gastrointestinal Cancer Advances in Clinical Medicine 洪铭崔
2023	Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability Gastrointestinal Endoscopy Britt B.S. L. Houwen, Karlijn J. Nass, Jasper L.A. Vleugels, Paul Fockens, Yark Hazewinkel, Evelien Dekker
2023	CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning Expert Systems with Applications Omneya Attallah
2023	An advanced diagnostic ColoRectalCADx utilises CNN and unsupervised visual explanations to discover malignancies Neural Computing and Applications 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	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	Dexterous Identification of Carcinoma through ColoRectalCADx with Dichotomous Fusion CNN and UNet Semantic Segmentation Computational Intelligence and Neuroscience Akella S. Narasimha Raju, Kayalvizhi Jayavel, Thulasi Rajalakshmi
2022	A deep learning-based diagnostic tool for identifying various diseases via facial images DIGITAL HEALTH Omneya Attallah
2022	2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Deepanshu, Kulvinder Singh, Sanjeev Dhawan
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	Time-based self-supervised learning for Wireless Capsule Endoscopy Computers in Biology and Medicine Guillem Pascual, Pablo Laiz, Albert García, Hagen Wenzek, Jordi Vitrià, Santi Seguí
2022	A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices Applied Soft Computing Omneya Attallah, Ahmed Samir
2022	A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images DIGITAL HEALTH Omneya Attallah
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
2021	Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories Contrast Media & Molecular Imaging Omneya Attallah, Maha Sharkas

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