Search Results - "Tsoulfas, George"

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans by Suri, Jasjit S, Agarwal, Sushant, Chabert, Gian Luca, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro S C, Saba, Luca, Mehmedović, Armin, Faa, Gavino, Singh, Inder M, Turk, Monika, Chadha, Paramjit S, Johri, Amer M, Khanna, Narendra N, Mavrogeni, Sophie, Laird, John R, Pareek, Gyan, Miner, Martin, Sobel, David W, Balestrieri, Antonella, Sfikakis, Petros P, Tsoulfas, George, Protogerou, Athanasios D, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D, Teji, Jagjit S, Al-Maini, Mustafa, Dhanjil, Surinder K, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R, Nagy, Ferenc, Ruzsa, Zoltan, Fouda, Mostafa M, Naidu, Subbaram, Viskovic, Klaudija, Kalra, Mannudeep K

“…Background: The previous COVID-19 lung diagnosis system lacks both scientific validation and the role of explainable artificial intelligence (AI) for…”
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Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence by Suri, Jasjit S, Puvvula, Anudeep, Majhail, Misha, Biswas, Mainak, Jamthikar, Ankush D, Saba, Luca, Faa, Gavino, Singh, Inder M, Oberleitner, Ronald, Turk, Monika, Srivastava, Saurabh, Chadha, Paramjit S, Suri, Harman S, Johri, Amer M, Nambi, Vijay, Sanches, J Miguel, Khanna, Narendra N, Viskovic, Klaudija, Mavrogeni, Sophie, Laird, John R, Bit, Arindam, Pareek, Gyan, Miner, Martin, Balestrieri, Antonella, Sfikakis, Petros P, Tsoulfas, George, Protogerou, Athanasios, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D, Kolluri, Raghu, Teji, Jagjit, Porcu, Michele, Al-Maini, Mustafa, Agbakoba, Ann, Sockalingam, Meyypan, Sexena, Ajit, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Viswanathan, Vijay, Naidu, Subbaram, Bhatt, Deepak L

“…Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as…”
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The critical pathway for deceased donation: reportable uniformity in the approach to deceased donation by Domínguez-Gil, Beatriz, Delmonico, Francis L, Shaheen, Faissal A M, Matesanz, Rafael, O'Connor, Kevin, Minina, Marina, Muller, Elmi, Young, Kimberly, Manyalich, Marti, Chapman, Jeremy, Kirste, Günter, Al-Mousawi, Mustafa, Coene, Leen, García, Valter Duro, Gautier, Serguei, Hasegawa, Tomonori, Jha, Vivekanand, Kwek, Tong Kiat, Chen, Zhonghua Klaus, Loty, Bernard, Costa, Alessandro Nanni, Nathan, Howard M, Ploeg, Rutger, Reznik, Oleg, Rosendale, John D, Tibell, Annika, Tsoulfas, George, Vathsala, Anantharaman, Noël, Luc

“…The critical pathway of deceased donation provides a systematic approach to the organ donation process, considering both donation after cardiac death than…”
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Editorial: Immersive Media in Connected Health by Antoniou, Panagiotis E., Economou, Daphne, Athanasiou, Alkinoos, Tsoulfas, George

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COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts by Suri, Jasjit S, Agarwal, Sushant, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro S C, Columbu, Marta, Saba, Luca, Viskovic, Klaudija, Mehmedović, Armin, Agarwal, Samriddhi, Gupta, Lakshya, Faa, Gavino, Singh, Inder M, Turk, Monika, Chadha, Paramjit S, Johri, Amer M, Khanna, Narendra N, 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, Teji, Jagjit S, Al-Maini, Mustafa, Dhanjil, Surinder K, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R, Nagy, Ferenc, Ruzsa, Zoltan, Gupta, Archna, Naidu, Subbaram, Paraskevas, Kosmas I, Kalra, Mannudeep K

“…(1) Background: COVID-19 computed tomography (CT) lung segmentation is critical for COVID lung severity diagnosis. Earlier proposed approaches during 2020-2021…”
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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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COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans by Suri, Jasjit, Agarwal, Sushant, Chabert, Gian, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro, Saba, Luca, Mehmedović, Armin, Faa, Gavino, Singh, Inder, Turk, Monika, Chadha, Paramjit, Johri, Amer, Khanna, Narendra, Mavrogeni, Sophie, Laird, John, Pareek, Gyan, Miner, Martin, Sobel, David, Balestrieri, Antonella, Sfikakis, Petros, Tsoulfas, George, Protogerou, Athanasios, Misra, Durga, Agarwal, Vikas, Kitas, George, Teji, Jagjit, Al-Maini, Mustafa, Dhanjil, Surinder, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode, Nagy, Ferenc, Ruzsa, Zoltan, Fouda, Mostafa, Naidu, Subbaram, Viskovic, Klaudija, Kalra, Manudeep

“…Background: COVID-19 is a disease with multiple variants, and is quickly spreading throughout the world. It is crucial to identify patients who are suspected…”
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Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report by Khanna, Narendra N, Maindarkar, Mahesh, Puvvula, Anudeep, Paul, Sudip, Bhagawati, Mrinalini, Ahluwalia, Puneet, Ruzsa, Zoltan, Sharma, Aditya, Munjral, Smiksha, Kolluri, Raghu, Krishnan, Padukone R, Singh, Inder M, Laird, John R, Fatemi, Mostafa, Alizad, Azra, Dhanjil, Surinder K, Saba, Luca, Balestrieri, Antonella, Faa, Gavino, Paraskevas, Kosmas I, Misra, Durga Prasanna, Agarwal, Vikas, Sharma, Aman, Teji, Jagjit, Al-Maini, Mustafa, Nicolaides, Andrew, Rathore, Vijay, Naidu, Subbaram, Liblik, Kiera, Johri, Amer M, Turk, Monika, Sobel, David W, Pareek, Gyan, Miner, Martin, Viskovic, Klaudija, Tsoulfas, George, Protogerou, Athanasios D, Mavrogeni, Sophie, Kitas, George D, Fouda, Mostafa M, Kalra, Manudeep K, Suri, Jasjit S

“…The SARS-CoV-2 virus has caused a pandemic, infecting nearly 80 million people worldwide, with mortality exceeding six million. The average survival span is…”
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Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography by Suri, Jasjit S, Agarwal, Sushant, Elavarthi, Pranav, Pathak, Rajesh, Ketireddy, Vedmanvitha, Columbu, Marta, Saba, Luca, Gupta, Suneet K, Faa, Gavino, Singh, Inder M, Turk, Monika, Chadha, Paramjit S, Johri, Amer M, 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, Teji, Jagjit S, Al-Maini, Mustafa, Dhanjil, Surinder K, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R, Ferenc, Nagy, Ruzsa, Zoltan, Gupta, Archna, Naidu, Subbaram, Kalra, Mannudeep K

“…: For COVID-19 lung severity, segmentation of lungs on computed tomography (CT) is the first crucial step. Current deep learning (DL)-based Artificial…”
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Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review by Munjral, Smiksha, Maindarkar, Mahesh, Ahluwalia, Puneet, Puvvula, Anudeep, Jamthikar, Ankush, Jujaray, Tanay, Suri, Neha, Paul, Sudip, Pathak, Rajesh, Saba, Luca, Chalakkal, Renoh Johnson, Gupta, Suneet, Faa, Gavino, Singh, Inder M, Chadha, Paramjit S, Turk, Monika, Johri, Amer M, 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, Kolluri, Raghu, Teji, Jagjit, Al-Maini, Mustafa, Dhanjil, Surinder K, Sockalingam, Meyypan, Saxena, Ajit, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Viswanathan, Vijay, Krishnan, Padukode R, Omerzu, Tomaz, Naidu, Subbaram, Nicolaides, Andrew, Fouda, Mostafa M, Suri, Jasjit S

“…Diabetes is one of the main causes of the rising cases of blindness in adults. This microvascular complication of diabetes is termed diabetic retinopathy (DR)…”
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Evaluating trauma care, outcomes and costs in a system in crisis: the necessity of a Greek National Trauma Database by Prionas, Apostolos, Tsoulfas, George, Tooulias, Andreas, Papakoulas, Apostolos, Piachas, Athanasios, Papadopoulos, Vasileios

“…BackgroundAt present there is no organized trauma system in Greece and no national trauma database. The objective of this study was to record and evaluate…”
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Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson's Disease Affected by COVID-19: A Narrative Review by Suri, Jasjit S, Maindarkar, Mahesh A, Paul, Sudip, Ahluwalia, Puneet, Bhagawati, Mrinalini, Saba, Luca, Faa, Gavino, Saxena, Sanjay, Singh, Inder M, Chadha, Paramjit S, Turk, Monika, Johri, Amer, Khanna, Narendra N, Viskovic, Klaudija, Mavrogeni, Sofia, Laird, John R, Miner, Martin, Sobel, David W, Balestrieri, Antonella, Sfikakis, Petros P, Tsoulfas, George, Protogerou, Athanase D, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D, Kolluri, Raghu, Teji, Jagjit S, Al-Maini, Mustafa, Dhanjil, Surinder K, Sockalingam, Meyypan, Saxena, Ajit, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Padukode R, Omerzu, Tomaz, Naidu, Subbaram, Nicolaides, Andrew, Paraskevas, Kosmas I, Kalra, Mannudeep, Ruzsa, Zoltán, Fouda, Mostafa M

“…: Parkinson's disease (PD) is one of the most serious, non-curable, and expensive to treat. Recently, machine learning (ML) has shown to be able to predict…”
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High mortality in orthotopic liver transplant recipients who require hemodialysis by Zand, Martin S., Orloff, Mark S., Abt, Peter, Patel, Siddharth, Tsoulfas, George, Kashyap, Randeep, Jain, Ashok, Safadjou, Saman, Bozorgzadeh, Adel

“…Zand MS, Orloff MS, Abt P, Patel S, Tsoulfas G, Kashyap R, Jain A, Safadjou S, Bozorgzadeh A. High mortality in orthotopic liver transplant recipients who…”
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Long-term Outcome of a Cuffed Expanded PTFE Graft for Hemodialysis Vascular Access by Tsoulfas, George, Hertl, Martin, Ko, Dicken S. C., Elias, Nahel, Delmonico, Francis L., Romano, Linda, Fernandes, Isabel, Schoenfeld, David, Kawai, Tatsuo

“…Background Development of venous outflow stenosis has been a major obstacle in maintaining the patency of dialysis vascular grafts. In the present study, we…”
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Disparate patient survival among UNOS regions after liver transplantation for hepatocellular carcinoma by Patel, Siddharth A., MD, Freeman, Richard, MD, Orloff, Mark, MD, FACS, Tsoulfas, George, MD, Kashyap, Randeep, MD, Jain, Ashok, MD, Bozorgzadeh, Adel, MD, Abt, Peter, MD

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340.12: The Beneficial Effect of Renal Transplantation on the Immune Phenotype of T Lymphocytes by Vagiotas, Lampros, Fylaktou, Asimina, Kassimatis, Efstratios, Xochelli, Aliki, Sampani, Erasmia, Nikolaidou, Vasiliki, Daoudaki, Maria, Tsoulfas, George, Papagianni, Aikaterini, Stangou, Maria

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Protective Role of the L-Arginine-Nitric Oxide Synthase Pathway on Preservation Injury after Rat Liver Transplantation by Geller, David A., Chia, Stanley H., Takahashi, Yoshihito, Yagnik, Gautam P., Tsoulfas, George, Murase, Noriko

“…Background : A major problem complicating liver transplantation is the preservation injury that results from cold storage and subsequent ischemia/reperfusion…”
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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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A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence by Suri, Jasjit S., Agarwal, Sushant, Gupta, Suneet K., Puvvula, Anudeep, Biswas, Mainak, Saba, Luca, Bit, Arindam, Tandel, Gopal S., Agarwal, Mohit, Patrick, Anubhav, Faa, Gavino, Singh, Inder M., Oberleitner, Ronald, Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Miguel Sanches, J., 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, Teji, Jagjit, Al-Maini, Mustafa, Dhanjil, Surinder K., Sockalingam, Meyypan, Saxena, Ajit, Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Ajuluchukwu, Janet N.A., Fatemi, Mostafa, Alizad, Azra, Viswanathan, Vijay, Krishnan, P.K., Naidu, Subbaram

“…COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million fatalities as of December 21, 2020. The primary cause of death due to COVID-19…”
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Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0 by Agarwal, Mohit, Agarwal, Sushant, Saba, Luca, Chabert, Gian Luca, Gupta, Suneet, Carriero, Alessandro, Pasche, Alessio, Danna, Pietro, Mehmedovic, Armin, Faa, Gavino, Shrivastava, Saurabh, Jain, Kanishka, Jain, Harsh, Jujaray, Tanay, Singh, Inder M., Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Khanna, Narendra N., Mavrogeni, Sophie, Laird, John R., Sobel, David W., Miner, Martin, Balestrieri, Antonella, Sfikakis, Petros P., Tsoulfas, George, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D., Teji, Jagjit S., Al-Maini, Mustafa, Dhanjil, Surinder K., Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R., Yadav, Rajanikant R., Nagy, Frence, Kincses, Zsigmond Tamás, Ruzsa, Zoltan, Naidu, Subbaram, Viskovic, Klaudija, Kalra, Manudeep K., Suri, Jasjit S.

“…COVLIAS 1.0: an automated lung segmentation was designed for COVID-19 diagnosis. It has issues related to storage space and speed. This study shows that…”
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