Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mohammed Yusuf Ansari P"'
Autor:
Renuka Devee D, Sivanesan T, Muthukrishnan R․M, Pourkodee D, Mohammed Yusuf Ansari P, Abdul Kader S․M, Ranjani R
Publikováno v:
Chemical Physics Impact, Vol 8, Iss , Pp 100605- (2024)
In recent times, there has been a surge of interest in the unique characteristics and possible applications of nanoparticles in various fields, including environmental clean-up. The contamination of water sources with pharmaceutical and organic subst
Externí odkaz:
https://doaj.org/article/2ca57f955c11488f992bd80301c1e3e5
Autor:
Pragati Rai, Mohammed Yusuf Ansari, Mohammed Warfa, Hammad Al‐Hamar, Julien Abinahed, Ali Barah, Sarada Prasad Dakua, Shidin Balakrishnan
Publikováno v:
Cancer Medicine, Vol 12, Iss 13, Pp 14225-14251 (2023)
Abstract Background Percutaneous thermal ablation has become the preferred therapeutic treatment option for liver cancers that cannot be resected. Since ablative zone tissue changes over time, it becomes challenging to determine therapy effectiveness
Externí odkaz:
https://doaj.org/article/28d773651f7d4b7395cade947c26ca32
Autor:
Mohammed Yusuf Ansari, P., Muthukrishnan, R.M., Imran Khan, R., Vedhi, C., Sakthipandi, K., Abdul Kader, S.M.
Publikováno v:
In Chemical Physics Impact December 2023 7
Publikováno v:
In Journal of Solid State Chemistry October 2023 326
Publikováno v:
In Physica B: Condensed Matter 15 September 2023 665
Publikováno v:
IEEE Access, Vol 11, Pp 9890-9906 (2023)
Computational drug repurposing is an efficient method to utilize existing knowledge for understanding and predicting their effect on neurological diseases. The ability of a molecule to cross the blood-brain barrier is a primary criteria for effective
Externí odkaz:
https://doaj.org/article/4c592c917c03451ebf444687cd488430
Autor:
Vaisali Chandrasekar, Mohammed Yusuf Ansari, Ajay Vikram Singh, Shahab Uddin, Kirthi S. Prabhu, Sagnika Dash, Souhaila Al Khodor, Annalisa Terranegra, Matteo Avella, Sarada Prasad Dakua
Publikováno v:
IEEE Access, Vol 11, Pp 52726-52739 (2023)
Owing to limited drug testing possibilities in pregnant population, the development of computational algorithms is crucial to predict the fate of drugs in the placental barrier; it could serve as an alternative to animal testing. The ability of a mol
Externí odkaz:
https://doaj.org/article/0edfb246b65e45278fc33b2cb9ee2f3c
Autor:
Mohammed Yusuf Ansari, Marwa Qaraqe
Publikováno v:
IEEE Access, Vol 11, Pp 4589-4601 (2023)
Automatic food recognition systems have been receiving increasing attention in the research community with the advancements in inductive learning (e.g., classification in computer vision) due to their applicability in the healthcare and hospitality i
Externí odkaz:
https://doaj.org/article/ddc644dba4fb4bd3887e469babb4fd17
Autor:
Mohammed Yusuf Ansari, Yin Yang, Shidin Balakrishnan, Julien Abinahed, Abdulla Al-Ansari, Mohamed Warfa, Omran Almokdad, Ali Barah, Ahmed Omer, Ajay Vikram Singh, Pramod Kumar Meher, Jolly Bhadra, Osama Halabi, Mohammad Farid Azampour, Nassir Navab, Thomas Wendler, Sarada Prasad Dakua
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Segmentation of abdominal Computed Tomography (CT) scan is essential for analyzing, diagnosing, and treating visceral organ diseases (e.g., hepatocellular carcinoma). This paper proposes a novel neural network (Res-PAC-UNet) that employs a f
Externí odkaz:
https://doaj.org/article/11f190f50a7140a3a1f9f5c217b96361
Autor:
Mohammed Yusuf Ansari, Alhusain Abdalla, Mohammed Yaqoob Ansari, Mohammed Ishaq Ansari, Byanne Malluhi, Snigdha Mohanty, Subhashree Mishra, Sudhansu Sekhar Singh, Julien Abinahed, Abdulla Al-Ansari, Shidin Balakrishnan, Sarada Prasad Dakua
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-17 (2022)
Abstract Clinical imaging (e.g., magnetic resonance imaging and computed tomography) is a crucial adjunct for clinicians, aiding in the diagnosis of diseases and planning of appropriate interventions. This is especially true in malignant conditions s
Externí odkaz:
https://doaj.org/article/676d7d6c3d794760b4eb3d658b6ef592