Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Mannudeep Kalra"'
Autor:
Jasjit S. Suri, Mahesh A. Maindarkar, Sudip Paul, Puneet Ahluwalia, Mrinalini Bhagawati, Luca Saba, Gavino Faa, Sanjay Saxena, Inder M. Singh, Paramjit S. Chadha, Monika Turk, Amer Johri, Narendra N. Khanna, Klaudija Viskovic, Sofia Mavrogeni, John R. Laird, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanase D. Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Meyypan Sockalingam, Ajit Saxena, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Padukode R. Krishnan, Tomaz Omerzu, Subbaram Naidu, Andrew Nicolaides, Kosmas I. Paraskevas, Mannudeep Kalra, Zoltán Ruzsa, Mostafa M. Fouda
Publikováno v:
Diagnostics, Vol 12, Iss 7, p 1543 (2022)
Background and Motivation: 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 cardiovascular/stroke risk in PD patients. The presence of COVID-19
Externí odkaz:
https://doaj.org/article/ddae48530030446d9a0d6bb48f5f9200
Autor:
Jasjit S. Suri, Sudip Paul, Maheshrao A. Maindarkar, Anudeep Puvvula, Sanjay Saxena, Luca Saba, Monika Turk, John R. Laird, Narendra N. Khanna, Klaudija Viskovic, Inder M. Singh, Mannudeep Kalra, Padukode R. Krishnan, Amer Johri, Kosmas I. Paraskevas
Publikováno v:
Metabolites, Vol 12, Iss 4, p 312 (2022)
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 available, leading to controversies and poor prognosis. Artificial Intelligence (AI) has alr
Externí odkaz:
https://doaj.org/article/e3ecf563c0c849628d0fc14079dd997f
Autor:
Jasjit S. Suri, Sushant Agarwal, Rajesh Pathak, Vedmanvitha Ketireddy, Marta Columbu, Luca Saba, Suneet K. Gupta, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Nagy Frence, Zoltan Ruzsa, Archna Gupta, Subbaram Naidu, Mannudeep Kalra
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1405 (2021)
Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is important for the diagnosis of lung severity. The process of automated lung segmentation is challenging due to (a) CT radiation dosage and (b) ground-glass opacities cause
Externí odkaz:
https://doaj.org/article/4ec48467a7a742fb9ddf238e402f298e
Autor:
Synho Do, William Clem Karl, Sarabjeet Singh, Mannudeep Kalra, Tom Brady, Ellie Shin, Homer Pien
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e111625 (2014)
Today, while many researchers focus on the improvement of the regularization term in IR algorithms, they pay less concern to the improvement of the fidelity term. In this paper, we hypothesize that improving the fidelity term will further improve IR
Externí odkaz:
https://doaj.org/article/d6ba384bd507403dafeaa8bdab38cd7e
Autor:
Giovanni Grassi, Maria Elena Laino, Mannudeep Kalra, Maria Valeria Cherchi, Refky Nicola, Lorenzo Mannelli, Antonella Balestrieri, Jasjit S Suri, Evis Sala, Luca Saba
Publikováno v:
Acta Radiologica. :028418512311708
Background No quantitative computed tomography (CT) biomarker is actually sufficiently accurate to assess Crohn’s disease (CD) lesion activity, with adequate precision to guide clinical decisions. Purpose To assess the available literature on the u
Autor:
Fatemeh Homayounieh, Subba Digumarthy, Shadi Ebrahimian, Johannes Rueckel, Boj Friedrich Hoppe, Bastian Oliver Sabel, Sailesh Conjeti, Karsten Ridder, Markus Sistermanns, Lei Wang, Alexander Preuhs, Florin Ghesu, Awais Mansoor, Mateen Moghbel, Ariel Botwin, Ramandeep Singh, Samuel Cartmell, John Patti, Christian Huemmer, Andreas Fieselmann, Clemens Joerger, Negar Mirshahzadeh, Victorine Muse, Mannudeep Kalra
Publikováno v:
JAMA Network Open
Key Points Question Can artificial intelligence (AI) improve detection of pulmonary nodules on chest radiographs at different levels of detection difficulty? Findings In this diagnostic study, AI-aided interpretation was associated with significantly
Publikováno v:
Computers in Biology and Medicine. 143:105273
Artificial intelligence (AI) has become a prominent technique for medical diagnosis and represents an essential role in detecting brain tumors. Although AI-based models are widely used in brain lesion segmentation (BLS), understanding their effective
Publikováno v:
Medical Physics. 44:2041-2044
Autor:
Mads Dam Lyhne, Jacob Gammelgaard Schultz, Peter J. MacMahon, Faris Haddad, Mannudeep Kalra, David Mai-King Tso, Alona Muzikansky, Michael H. Lev, Christopher Kabrhel
Publikováno v:
Emergency Radiology. 26:631-631
Autor:
Ge, Wang, Mannudeep, Kalra, Venkatesh, Murugan, Yan, Xi, Lars, Gjesteby, Matthew, Getzin, Qingsong, Yang, Wenxiang, Cong, Michael, Vannier
Publikováno v:
Medical physics. 42(10)
Multimodality imaging systems such as positron emission tomography-computed tomography (PET-CT) and MRI-PET are widely available, but a simultaneous CT-MRI instrument has not been developed. Synergies between independent modalities, e.g., CT, MRI, an