Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ruchika Arora"'
Publikováno v:
Alexandria Engineering Journal, Vol 86, Iss , Pp 56-66 (2024)
The exponential proliferation of wearable medical apparatus and healthcare information within the framework of the Internet of Medical Things (IoMT) introduces supplementary complexities pertaining to the elevated Quality of Service (QoS) of intellig
Externí odkaz:
https://doaj.org/article/e0e3ffb08ca94aef9d7f91d070cce0f0
Autor:
Swarsat Kaushik Nath, Preeti Pankajakshan, Trapti Sharma, Priya Kumari, Sweety Shinde, Nikita Garg, Kartavya Mathur, Nevidita Arambam, Divyank Harjani, Manpriya Raj, Garwit Kwatra, Sayantan Venkatesh, Alakto Choudhoury, Saima Bano, Prashansa Tayal, Mahek Sharan, Ruchika Arora, Ulrich Strych, Peter J. Hotez, Maria Elena Bottazzi, Kamal Rawal
Publikováno v:
Vaccines, Vol 11, Iss 2, p 267 (2023)
Chagas disease (CD) is endemic in large parts of Central and South America, as well as in Texas and the southern regions of the United States. Successful parasites, such as the causative agent of CD, Trypanosoma cruzi have adapted to specific hosts d
Externí odkaz:
https://doaj.org/article/11dbdd6cb1bf4eb284a9d476c818b8a0
Publikováno v:
Journal of Indian Society of Periodontology, Vol 20, Iss 4, Pp 423-428 (2016)
Background: To evaluate the relative efficacy of synthetic nanocrystalline hydroxyapatite (HA) (Ostim®) and microcrystalline HA (Osteogen®) bone grafts in the treatment of human periodontal intrabony defects clinically and radiographically through
Externí odkaz:
https://doaj.org/article/2e038a834c3941d792a7846337493369
Autor:
Grover, Ruchika Arora1 (AUTHOR) ruchikagrover80@gmail.com, Grover, Ravneet Singh1 (AUTHOR)
Publikováno v:
Indian Journal of Otolaryngology & Head & Neck Surgery. Aug2022 Supplement 1, Vol. 74 Issue 1, p492-494. 3p.
Publikováno v:
International Journal of Nursing & Midwifery Research. 6:28-33
Introduction: Type 1 diabetes is a complex and demanding condition, which mainly affects children and places a considerate amount of substantial behavioral and psychological burden on young people and stress to their families. Objectives: The study a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbe149eb6dc974095a98d45e348dd72c
https://doi.org/10.24321/2455.9318.201929
https://doi.org/10.24321/2455.9318.201929
Publikováno v:
2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25cfd41ffb7e3af0730baae159c3dfa1
https://doi.org/10.1109/c2i454156.2021.9689384
https://doi.org/10.1109/c2i454156.2021.9689384
Publikováno v:
Indian Journal of Otolaryngology and Head & Neck Surgery. 74:492-494
Wegener's granulomatosis is a rare systemic autoimmune disease of unknown etiology. Typically, it affects the upper respiratory tract, lungs, and kidneys. Sometimes localized form of the disease in head and neck region is also seen. These often go un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b709f322e589df244070d6fbf1181b87
https://doi.org/10.1007/s12070-020-02328-4
https://doi.org/10.1007/s12070-020-02328-4
Publikováno v:
Proceedings of International Conference on Women Researchers in Electronics and Computing.
Deep Learning (DL) algorithms, especially Convolutional Neural Network (CNN) have outperformed in medical image classification tasks and have achieved human-competitive performance. This has become possible because CNN learns image features through b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::732d1a74c64418f1599418f2a250fbc4
https://doi.org/10.21467/proceedings.114.1
https://doi.org/10.21467/proceedings.114.1
Publikováno v:
Optik
Due to COVID-19, demand for Chest Radiographs (CXRs) have increased exponentially. Therefore, we present a novel fully automatic modified Attention U-Net (CXAU-Net) multi-class segmentation deep model that can detect common findings of COVID-19 in CX
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6995807c3ffe1198d928f141863e1a29
https://pubmed.ncbi.nlm.nih.gov/34393275
https://pubmed.ncbi.nlm.nih.gov/34393275
Publikováno v:
2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC).
In medical imaging, automatic lung segmentation from Chest X-ray (CXR) images helps doctors to diagnose various diseases and guide for further treatment. U-Net is the most popular model for biomedical image segmentation. But it does not consider regi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d8fd4080f3d092fd7dcfd5e56d75fd6
https://doi.org/10.1109/icsccc51823.2021.9478101
https://doi.org/10.1109/icsccc51823.2021.9478101