Search Results - "Khanna, Narendra N"

Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies by 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

“…Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss…”
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Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment by Khanna, Narendra N, Maindarkar, Mahesh A, Viswanathan, Vijay, Fernandes, Jose Fernandes E, Paul, Sudip, Bhagawati, Mrinalini, Ahluwalia, Puneet, Ruzsa, Zoltan, Sharma, Aditya, Kolluri, Raghu, Singh, Inder M, Laird, John R, Fatemi, Mostafa, Alizad, Azra, Saba, Luca, Agarwal, Vikas, Sharma, Aman, Teji, Jagjit S, Al-Maini, Mustafa, Rathore, Vijay, Naidu, Subbaram, Liblik, Kiera, Johri, Amer M, Turk, Monika, Mohanty, Lopamudra, Sobel, David W, Miner, Martin, Viskovic, Klaudija, Tsoulfas, George, Protogerou, Athanasios D, Kitas, George D, Fouda, Mostafa M, Chaturvedi, Seemant, Kalra, Mannudeep K, Suri, Jasjit S

“…: The price of medical treatment continues to rise due to (i) an increasing population; (ii) an aging human growth; (iii) disease prevalence; (iv) a rise in…”
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Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans by Nillmani, Sharma, Neeraj, Saba, Luca, Khanna, Narendra N, Kalra, Mannudeep K, Fouda, Mostafa M, Suri, Jasjit S

“…Background and Motivation: COVID-19 has resulted in a massive loss of life during the last two years. The current imaging-based diagnostic methods for COVID-19…”
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Low-cost preventive screening using carotid ultrasound in patients with diabetes by 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

“…Diabetes and atherosclerosis are the predominant causes of stroke and cardiovascular disease (CVD) both in low- and high-income countries. This is due to the…”
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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 Intelligence, and Bias by 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

“…Biomedical image segmentation (BIS) task is challenging due to the variations in organ types, position, shape, size, scale, orientation, and image contrast…”
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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 by 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.

“…Due to the intricate relationship between the small non-coding ribonucleic acid (miRNA) sequences, the classification of miRNA species, namely Human, Gorilla,…”
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A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review by Suri, Jasjit S, Bhagawati, Mrinalini, Paul, Sudip, Protogerou, Athanasios D, Sfikakis, Petros P, Kitas, George D, Khanna, Narendra N, Ruzsa, Zoltan, Sharma, Aditya M, Saxena, Sanjay, Faa, Gavino, Laird, John R, Johri, Amer M, Kalra, Manudeep K, Paraskevas, Kosmas I, Saba, Luca

“…Cardiovascular disease (CVD) causes the highest mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment is vital…”
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Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review by Suri, Jasjit S, Paul, Sudip, Maindarkar, Maheshrao A, Puvvula, Anudeep, Saxena, Sanjay, Saba, Luca, Turk, Monika, Laird, John R, Khanna, Narendra N, Viskovic, Klaudija, Singh, Inder M, Kalra, Mannudeep, Krishnan, Padukode R, Johri, Amer, Paraskevas, Kosmas I

“…Parkinson’s disease (PD) is a severe, incurable, and costly condition leading to heart failure. The link between PD and cardiovascular disease (CVD) is not…”
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UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review by Saba, Luca, Maindarkar, Mahesh, Johri, Amer M, Mantella, Laura, Laird, John R, Khanna, Narendra N, Paraskevas, Kosmas I, Ruzsa, Zoltan, Kalra, Manudeep K, Fernandes, Jose Fernandes E, Chaturvedi, Seemant, Nicolaides, Andrew, Rathore, Vijay, Singh, Narpinder, Isenovic, Esma R, Viswanathan, Vijay, Fouda, Mostafa M, Suri, Jasjit S

“…Cardiovascular disease (CVD) diagnosis and treatment are challenging since symptoms appear late in the disease's progression. Despite clinical risk scores,…”
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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 by Dubey, Arun Kumar, Chabert, Gian Luca, Carriero, Alessandro, Pasche, Alessio, Danna, Pietro S C, Agarwal, Sushant, Mohanty, Lopamudra, Nillmani, Sharma, Neeraj, Yadav, Sarita, Jain, Achin, Kumar, Ashish, Kalra, Mannudeep K, Sobel, David W, Laird, John R, Singh, Inder M, Singh, Narpinder, Tsoulfas, George, Fouda, Mostafa M, Alizad, Azra, Kitas, George D, Khanna, Narendra N, Viskovic, Klaudija, Kukuljan, Melita, Al-Maini, Mustafa, El-Baz, Ayman, Saba, Luca, Suri, Jasjit S

“…Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification…”
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Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data by Bhagawati, Mrinalini, Paul, Sudip, Mantella, Laura, Johri, Amer M, Gupta, Siddharth, Laird, John R, Singh, Inder M, Khanna, Narendra N, Al-Maini, Mustafa, Isenovic, Esma R, Tiwari, Ekta, Singh, Rajesh, Nicolaides, Andrew, Saba, Luca, Anand, Vinod, Suri, Jasjit S

“…The risk of cardiovascular disease (CVD) has traditionally been predicted via the assessment of carotid plaques. In the proposed study, AtheroEdge™ 3.0…”
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Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look by Kumari, Vandana, Kumar, Naresh, Kumar K, Sampath, Kumar, Ashish, Skandha, Sanagala S, Saxena, Sanjay, Khanna, Narendra N, Laird, John R, Singh, Narpinder, Fouda, Mostafa M, Saba, Luca, Singh, Rajesh, Suri, Jasjit S

“…Coronary artery disease (CAD) has the highest mortality rate; therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging…”
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DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images by Sanga, Prabhav, Singh, Jaskaran, Dubey, Arun Kumar, Khanna, Narendra N., Laird, John R., Faa, Gavino, Singh, Inder M., Tsoulfas, Georgios, Kalra, Mannudeep K., Teji, Jagjit S., Al-Maini, Mustafa, Rathore, Vijay, Agarwal, Vikas, Ahluwalia, Puneet, Fouda, Mostafa M., Saba, Luca, Suri, Jasjit S.

“…Skin lesion classification plays a crucial role in dermatology, aiding in the early detection, diagnosis, and management of life-threatening malignant lesions…”
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A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool by Saba, Luca, Maindarkar, Mahesh, Khanna, Narendra N., Johri, Amer M., Mantella, Laura, Laird, John R., Paraskevas, Kosmas I., Ruzsa, Zoltan, Kalra, Manudeep K., Fernandes, Jose Fernandes E., Chaturvedi, Seemant, Nicolaides, Andrew, Rathore, Vijay, Singh, Narpinder, Fouda, Mostafa M., Isenovic, Esma R., Al-Maini, Mustafa, Viswanathan, Vijay, Suri, Jasjit S.

“…BACKGROUNDCardiovascular disease (CVD) is challenging to diagnose and treat since symptoms appear late during the progression of atherosclerosis. Conventional…”
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Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review by Khanna, Narendra N, Maindarkar, Mahesh, Saxena, Ajit, Ahluwalia, Puneet, Paul, Sudip, Srivastava, Saurabh K, Cuadrado-Godia, Elisa, Sharma, Aditya, Omerzu, Tomaz, Saba, Luca, Mavrogeni, Sophie, Turk, Monika, Laird, John R, Kitas, George D, Fatemi, Mostafa, Barqawi, Al Baha, Miner, Martin, Singh, Inder M, Johri, Amer, Kalra, Mannudeep M, Agarwal, Vikas, Paraskevas, Kosmas I, Teji, Jagjit S, Fouda, Mostafa M, Pareek, Gyan, Suri, Jasjit S

“…The role of erectile dysfunction (ED) has recently shown an association with the risk of stroke and coronary heart disease (CHD) via the atherosclerotic…”
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The present and future of deep learning in radiology by Saba, Luca, Biswas, Mainak, Kuppili, Venkatanareshbabu, Cuadrado Godia, Elisa, Suri, Harman S., Edla, Damodar Reddy, Omerzu, Tomaž, Laird, John R., Khanna, Narendra N., Mavrogeni, Sophie, Protogerou, Athanasios, Sfikakis, Petros P., Viswanathan, Vijay, Kitas, George D., Nicolaides, Andrew, Gupta, Ajay, Suri, Jasjit S.

“…•This review focuses different aspects of deep learning applications in radiology.•This paper covers evolution of deep learning, its potentials, risk and…”
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Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review by Suri, Jasjit S., Bhagawati, Mrinalini, Paul, Sudip, Protogeron, Athanasios, Sfikakis, Petros P., Kitas, George D., Khanna, Narendra N., Ruzsa, Zoltan, Sharma, Aditya M., Saxena, Sanjay, Faa, Gavino, Paraskevas, Kosmas I., Laird, John R., Johri, Amer M., Saba, Luca, Kalra, Manudeep

“…Artificial Intelligence (AI), in particular, machine learning (ML) has shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD)…”
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A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography by Boi, Alberto, Jamthikar, Ankush D., Saba, Luca, Gupta, Deep, Sharma, Aditya, Loi, Bruno, Laird, John R., Khanna, Narendra N., Suri, Jasjit S.

“…Purpose of Review Atherosclerotic plaque deposition within the coronary vessel wall leads to arterial stenosis and severe catastrophic events over time…”
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Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort by Biswas, Mainak, Kuppili, Venkatanareshbabu, Araki, Tadashi, Edla, Damodar Reddy, Godia, Elisa Cuadrado, Saba, Luca, Suri, Harman S., Omerzu, Tomaž, Laird, John R., Khanna, Narendra N., Nicolaides, Andrew, Suri, Jasjit S.

“…The carotid intima-media thickness (cIMT) is an important biomarker for cardiovascular diseases and stroke monitoring. This study presents an…”
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COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review by Suri, Jasjit S., Puvvula, Anudeep, Biswas, Mainak, Majhail, Misha, Saba, Luca, Faa, Gavino, Singh, Inder M., Oberleitner, Ronald, Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Sanches, J. Miguel, Khanna, Narendra N., Viskovic, Klaudija, Mavrogeni, Sophie, Laird, John R., Pareek, Gyan, Miner, Martin, Sobel, David W., Balestrieri, Antonella, Sfikakis, Petros P., Tsoulfas, George, Protogerou, Athanasios, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D., Ahluwalia, Puneet, Kolluri, Raghu, Teji, Jagjit, Maini, Mustafa Al, Agbakoba, Ann, Dhanjil, Surinder K., Sockalingam, Meyypan, Saxena, Ajit, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Ajuluchukwu, Janet N.A., Fatemi, Mostafa, Alizad, Azra, Viswanathan, Vijay, Krishnan, Pudukode R., Naidu, Subbaram

“…Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of radiology. Since its emergence, the highly virulent coronavirus…”
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