Zobrazeno 1 - 10
of 3 844
pro vyhledávání: '"Sobha A"'
Autor:
Geethadevi Madhavikutty, Ajith Raveendran, Ronnie Thomas, Asha Joan Murali, Anju Chempakasseril Mathew, Anupa Lucas, Sobha Akshayakumar
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 17, Iss 10, Pp 28-32 (2023)
Introduction: The COVID-19 pandemic continues to impact livelihoods worldwide, and in the absence of specific antivirals, the vaccine remains the main weapon against it. Assessing the effectiveness of vaccines against Coronovirus Disease 2019 (CO
Externí odkaz:
https://doaj.org/article/64aedfec6ca24530bcd9aa6e4d0e1fe8
Publikováno v:
Healthline, Vol 14, Iss 3, Pp 174-182 (2023)
Introduction: Infertility is a personal tragedy for millions of couples world-wide and has very definite physical, psychological and social implications. Objectives: To find the prevalence of infertility and to explore the association between selecte
Externí odkaz:
https://doaj.org/article/d153428c150f456f84e7582a7beee3d6
Autor:
Chakravarty, Arunava, Emre, Taha, Lachinov, Dmitrii, Rivail, Antoine, Scholl, Hendrik, Fritsche, Lars, Sivaprasad, Sobha, Rueckert, Daniel, Lotery, Andrew, Schmidt-Erfurth, Ursula, Bogunović, Hrvoje
Predicting future disease progression risk from medical images is challenging due to patient heterogeneity, and subtle or unknown imaging biomarkers. Moreover, deep learning (DL) methods for survival analysis are susceptible to image domain shifts ac
Externí odkaz:
http://arxiv.org/abs/2409.20195
Autor:
Holland, Robbie, Taylor, Thomas R. P., Holmes, Christopher, Riedl, Sophie, Mai, Julia, Patsiamanidi, Maria, Mitsopoulou, Dimitra, Hager, Paul, Müller, Philip, Scholl, Hendrik P. N., Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Rueckert, Daniel, Sivaprasad, Sobha, Lotery, Andrew J., Menten, Martin J.
Clinicians spend a significant amount of time reviewing medical images and transcribing their findings regarding patient diagnosis, referral and treatment in text form. Vision-language models (VLMs), which automatically interpret images and summarize
Externí odkaz:
http://arxiv.org/abs/2407.08410
Autor:
Holland, Robbie, Kaye, Rebecca, Hagag, Ahmed M., Leingang, Oliver, Taylor, Thomas R. P., Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Scholl, Hendrik P. N., Rueckert, Daniel, Lotery, Andrew J., Sivaprasad, Sobha, Menten, Martin J.
Diseases are currently managed by grading systems, where patients are stratified by grading systems into stages that indicate patient risk and guide clinical management. However, these broad categories typically lack prognostic value, and proposals f
Externí odkaz:
http://arxiv.org/abs/2405.09549
Autor:
Shen, Chengzhi, Menten, Martin J., Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Scholl, Hendrik, Sivaprasad, Sobha, Lotery, Andrew, Rueckert, Daniel, Hager, Paul, Holland, Robbie
Analyzing temporal developments is crucial for the accurate prognosis of many medical conditions. Temporal changes that occur over short time scales are key to assessing the health of physiological functions, such as the cardiac cycle. Moreover, trac
Externí odkaz:
http://arxiv.org/abs/2403.07513
Autor:
Emre, Taha, Chakravarty, Arunava, Rivail, Antoine, Lachinov, Dmitrii, Leingang, Oliver, Riedl, Sophie, Mai, Julia, Scholl, Hendrik P. N., Sivaprasad, Sobha, Rueckert, Daniel, Lotery, Andrew, Schmidt-Erfurth, Ursula, Bogunović, Hrvoje
Self-supervised learning (SSL) has emerged as a powerful technique for improving the efficiency and effectiveness of deep learning models. Contrastive methods are a prominent family of SSL that extract similar representations of two augmented views o
Externí odkaz:
http://arxiv.org/abs/2312.16980
Autor:
Sobha Rani Penubarthi, Radha Rani Korrapati, Varaprasad Janamala, Chaitanya Nimmagadda, Arigela Satya Veerendra, Srividya Ravindrakumar
Publikováno v:
Modelling, Vol 5, Iss 3, Pp 1268-1285 (2024)
In view of the complexity and importance of nuclear research reactor (NRR) installations, it is imperative to uphold high standards of reliability and quality in the electricity being supplied to them. In this paper, the performance of low-voltage (L
Externí odkaz:
https://doaj.org/article/e99e687c070246f2b9b1269df359f22b
Publikováno v:
BMC Microbiology, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Purpose To determine the association of gut microbiome diversity and sight-threatening diabetic retinopathy (STDR) amongst patients with pre-existing diabetes. Methods A cross-sectional study was performed, wherein 54 participants selected i
Externí odkaz:
https://doaj.org/article/47b33fc876c24a3cac35a28217d1961f
Autor:
Emre, Taha, Oghbaie, Marzieh, Chakravarty, Arunava, Rivail, Antoine, Riedl, Sophie, Mai, Julia, Scholl, Hendrik P. N., Sivaprasad, Sobha, Rueckert, Daniel, Lotery, Andrew, Schmidt-Erfurth, Ursula, Bogunović, Hrvoje
In the field of medical imaging, 3D deep learning models play a crucial role in building powerful predictive models of disease progression. However, the size of these models presents significant challenges, both in terms of computational resources an
Externí odkaz:
http://arxiv.org/abs/2307.13865