Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Gaurav, Malhotra"'
Autor:
Xiaodong Bao, Sathish S. Kumar, Nirav J. Shah, Donald Penning, Mitchell Weinstein, Gaurav Malhotra, Sydney Rose, David Drover, Matthew W. Pennington, Karen Domino, Lingzhong Meng, Mariam Treggiari, Claudia Clavijo, Gebhard Wagener, Hovig Chitilian, Kamal Maheshwari, The HPI Study Team
Publikováno v:
Perioperative Medicine, Vol 13, Iss 1, Pp 1-12 (2024)
Abstract Background Intraoperative hypotension is common during noncardiac surgery and is associated with postoperative myocardial infarction, acute kidney injury, stroke, and severe infection. The Hypotension Prediction Index software is an algorith
Externí odkaz:
https://doaj.org/article/21ba6bfebfc843e380669dada438ca3a
Autor:
Sandeep Kumar, Anurag Ranjan Lila, Saba Samad Memon, Vijaya Sarathi, Virendra A Patil, Santosh Menon, Neha Mittal, Gagan Prakash, Gaurav Malhotra, Nalini S Shah, Tushar R BandgarDepartment of Endocrinology, Seth G S Medical College & KEM Hospital, Mumbai, India
Publikováno v:
Endocrine Connections, Vol 10, Iss 11, Pp 1463-1476 (2021)
Risk of metastatic disease in the cluster 2-related pheochromocytoma/paraganglioma (PPGL) is low. In MEN2 patients, identification of origin of met astases from pheochromocytoma (PCC) or medullary thyroid carcinoma (MTC) is challenging as both are of
Externí odkaz:
https://doaj.org/article/cefb88e263574b63888ce8b715db67ad
Akademický článek
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Autor:
Rohit Barnabas, Sanjeet Kumar Jaiswal, Saba Samad Memon, Vijaya Sarathi, Gaurav Malhotra, Priyanka Verma, Virendra A Patil, Anurag R Lila, Nalini S Shah, Tushar R Bandgar
Publikováno v:
Indian Journal of Endocrinology and Metabolism, Vol 25, Iss 2, Pp 148-159 (2021)
Introduction: Radionuclide therapy is a promising treatment modality in metastatic pheochromocytoma/paraganglioma (PPGL). There is scarce data on 131I-metaiodobenzyl guanidine (131I-MIBG) therapy from the Indian subcontinent. Hence, we aim to study t
Externí odkaz:
https://doaj.org/article/ecdb89f5c71a40aca5e1fd458a000f04
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 5, p e1009572 (2022)
Humans rely heavily on the shape of objects to recognise them. Recently, it has been argued that Convolutional Neural Networks (CNNs) can also show a shape-bias, provided their learning environment contains this bias. This has led to the proposal tha
Externí odkaz:
https://doaj.org/article/8158b99204a148cc8dc35f7602a21242
Autor:
Sanjeet Kumar Jaiswal, Vijaya Sarathi, Saba Samad Memon, Robin Garg, Gaurav Malhotra, Priyanka Verma, Ravikumar Shah, Manjeet Kaur Sehemby, Virendra A Patil, Swati Jadhav, Anurag Ranjan Lila, Nalini S Shah, Tushar R Bandgar
Publikováno v:
Endocrine Connections, Vol 9, Iss 9, Pp 864-873 (2020)
Introduction: 177Lu-DOTATATE-based peptide receptor radionuclide therapy (PRRT) is a promising therapy for metastatic and/or inoperable pheochromocytoma and paraganglioma (PPGL). We aim to evaluate the efficacy and safety of and identify predictors o
Externí odkaz:
https://doaj.org/article/0ea1666d6abf47169293090ad8921bf1
Autor:
Roopal, Agrawal, Gaurav, Malhotra
Publikováno v:
Clinical Nuclear Medicine; Jul2024, Vol. 49 Issue 7, pe370-e372, 3p
Publikováno v:
eLife, Vol 9 (2020)
Deep convolutional neural networks (DCNNs) are frequently described as the best current models of human and primate vision. An obvious challenge to this claim is the existence of adversarial images that fool DCNNs but are uninterpretable to humans. H
Externí odkaz:
https://doaj.org/article/5aaffc6e59b340d8bab7a874e2c53feb
Autor:
Roopal, Agrawal, Gaurav, Malhotra
Publikováno v:
Clinical Nuclear Medicine; July 2024, Vol. 49 Issue: 7 pe370-e372, 3p
Autor:
Gaurav Malhotra
Publikováno v:
Journal of Sports Analytics. 8:149-170
The Indian Premier League (IPL), the most successful cricket tournament in India, has immensely grown in popularity. Unlike similar tournaments like Major League Baseball and the UEFA Champions League, their models cannot be replicated due to the dyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c2e052fce6f6b5b907b64c025a73b10
https://doi.org/10.3233/jsa-200580
https://doi.org/10.3233/jsa-200580