Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers von Maniruzzaman, Md, Rahman, Md. Jahanur, Al-MehediHasan, Md, Suri, Harman S., Abedin, Md. Menhazul, El-Baz, Ayman, Suri, Jasjit S.

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Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm von Maniruzzaman, Md, Kumar, Nishith, Menhazul Abedin, Md, Shaykhul Islam, Md, Suri, Harman S., El-Baz, Ayman S., Suri, Jasjit S.

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Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm von Biswas, Mainak, Kuppili, Venkatanareshbabu, Edla, Damodar Reddy, Suri, Harman S., Saba, Luca, Marinhoe, Rui Tato, Sanches, J. Miguel, Suri, Jasjit S.

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Texture analysis imaging “what a clinical radiologist needs to know” von Corrias, Giuseppe, Micheletti, Giulio, Barberini, Luigi, Suri, Jasjit S, Saba, Luca

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Automated EEG analysis of epilepsy: A review von Acharya, U. Rajendra, Vinitha Sree, S., Swapna, G., Martis, Roshan Joy, Suri, Jasjit S.

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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms von Maniruzzaman, Md, Jahanur Rahman, Md, Ahammed, Benojir, Abedin, Md. Menhazul, Suri, Harman S., Biswas, Mainak, El-Baz, Ayman, Bangeas, Petros, Tsoulfas, Georgios, Suri, Jasjit S.

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Automated Stratification of Liver Disease in Ultrasound: An Online Accurate Feature Classification Paradigm von Saba, Luca, MD, Dey, Nilanjan, PhD, Ashour, Amira S., PhD, Samanta, Sourav, M.Tech, Nath, Siddhartha Sankar, M.Tech, Chakraborty, Sayan, M.Tech, Sanches, João, Kumar, Dinesh, PhD, Marinho, RuiTato, MD, Suri, Jasjit S., PhD, MBA, Fellow AIMBE

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Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework von Rajendra Acharya, U., Vinitha Sree, S., Alvin, Ang Peng Chuan, Suri, Jasjit S.

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Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies von Cuadrado-Godia, Elisa, Dwivedi, Pratistha, Sharma, Sanjiv, Ois Santiago, Angel, Roquer Gonzalez, Jaume, Balcells, Mercedes, Laird, John, Turk, Monika, Suri, Harman S, Nicolaides, Andrew, Saba, Luca, Khanna, Narendra N, Suri, Jasjit S

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Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform von Giri, Donna, Rajendra Acharya, U., Martis, Roshan Joy, Vinitha Sree, S., Lim, Teik-Cheng, Ahamed, Thajudin, Suri, Jasjit S.

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Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans von Nillmani, Sharma, Neeraj, Saba, Luca, Khanna, Narendra N, Kalra, Mannudeep K, Fouda, Mostafa M, Suri, Jasjit S

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State of the Art in Neural Networks and Their Applications: Volume 2 von Suri, M. B. A, S. El-Baz, Ayman

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Low-cost preventive screening using carotid ultrasound in patients with diabetes von Viswanathan, Vijay, Jamthikar, Ankush D, Gupta, Deep, Shanu, Nizarudeen, Puvvula, Anudeep, Khanna, Narendra N, Saba, Luca, Omerzum, Tomaz, Viskovic, Klaudija, Mavrogeni, Sophie, Turk, Monika, Laird, John R, Pareek, Gyan, Miner, Martin, Sfikakis, Petros P, Protogerou, Athanasios, Kitas, George D, S, Chitra, Joshi, Shalini, Fiscian, Henreitta, Folson, Aba Ankomaba, Wu, Dee H, Ruzsa, Zoltan, Nicolaides, Andrew, Sharma, Aditya, Bhatt, Deepak L, Suri, Jasjit S

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GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides von Singh, Jaskaran, Khanna, Narendra N., Rout, Ranjeet K., Singh, Narpinder, Laird, John R., Singh, Inder M., Kalra, Mannudeep K., Mantella, Laura E., Johri, Amer M., Isenovic, Esma R., Fouda, Mostafa M., Saba, Luca, Fatemi, Mostafa, Suri, Jasjit S.

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Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data von Tandel, Gopal S, Tiwari, Ashish, Kakde, Omprakash G, Gupta, Neha, Saba, Luca, Suri, Jasjit S

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A new backpropagation neural network classification model for prediction of incidence of malaria von Verma, Ajeet K, Kuppili, Venkatanareshbabu, Srivastava, Saurabh K, Suri, Jasjit S

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Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification von Sanagala, Skandha S., Nicolaides, Andrew, Gupta, Suneet K., Koppula, Vijaya K., Saba, Luca, Agarwal, Sushant, Johri, Amer M., Kalra, Manudeep S., Suri, Jasjit S.

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UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligen... von Suri, Jasjit S., Bhagawati, Mrinalini, Agarwal, Sushant, Paul, Sudip, Pandey, Amit, Gupta, Suneet K., Saba, Luca, Paraskevas, Kosmas I., Khanna, Narendra N., Laird, John R., Johri, Amer M., Kalra, Manudeep K., Fouda, Mostafa M., Fatemi, Mostafa, Naidu, Subbaram

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PCA-based Polling Strategy in Machine Learning Framework for Coronary Artery Disease Risk Assessment in Intravascular Ultrasound: A Link between Carotid and Coronary Grayscale Plaq... von Araki, Tadashi, MD, Ikeda, Nobutaka, MD, Shukla, Devarshi, BTech, Jain, Pankaj K., B.E, Londhe, Narendra D., PhD, Shrivastava, Vimal K., M.Tech, Banchhor, Sumit K., MTech, Saba, Luca, MD, Nicolaides, Andrew, PhD, Shafique, Shoaib, MD, Laird, John R., MD, Suri, Jasjit S., PhD, MBA, Fellow AIMBE

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Unseen Artificial Intelligence-Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study von Jain, Pankaj K., Sharma, Neeraj, Saba, Luca, Paraskevas, Kosmas I., Kalra, Mandeep K., Johri, Amer, Laird, John R., Nicolaides, Andrew N., Suri, Jasjit S.

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