Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Madiha Arshad"'
Autor:
Mahmood Rehmani, Madiha Arshad, Munnawar Naz Khokhar, Naveed Anwer, Mohammad Adnan, Rana Tahir Naveed, Huda Irshad
Publikováno v:
Frontiers in Psychology, Vol 12 (2022)
The purpose of this study is to find empirical evidence on whether work from home or residential emissions reduces office emissions. Based on existing research the study supports that there are short-term effects on office emissions, i.e., carbon emi
Externí odkaz:
https://doaj.org/article/7d6cc972559646a78cd42ca722cbea8a
Publikováno v:
Journal of Digital Imaging. 36:276-288
Under-sampling in diffusion-weighted imaging (DWI) decreases the scan time that helps to reduce off-resonance effects, geometric distortions, and susceptibility artifacts; however, it leads to under-sampling artifacts. In this paper, diffusion-weight
Publikováno v:
Pakistan Journal of Medical and Health Sciences. 16:146-148
Background: Thyroid gland is notorious for carrying commonest endocrine pathologies and also for commonest endocrine malignancy. It is the 5th most common cancer in human beings. This makes to carry out current study to get insight of frequency of th
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine. 34:717-728
The success of parallel Magnetic Resonance Imaging algorithms like SENSitivity Encoding (SENSE) depends on an accurate estimation of the receiver coil sensitivity maps. Deep learning-based receiver coil sensitivity map estimation depends upon the siz
Publikováno v:
Pakistan Postgraduate Medical Journal. 31:24-28
Objective: To find out the frequency of benign and malignant skin adnexal neoplasms. Study design: Descriptive study. Materials and methods: It is a descriptive study in which we studied all cases of skin adnexal tumors that are registered in Mayo ho
Publikováno v:
Magnetic Resonance Imaging. 76:96-107
In Magnetic Resonance Imaging (MRI), the success of deep learning-based under-sampled MR image reconstruction depends on: (i) size of the training dataset, (ii) generalization capabilities of the trained neural network. Whenever there is a mismatch b
Autor:
Madiha Arshad, Kanwal Saba, Mulazim Hussain Bukhari, Nasir Raza Zaidi, Khalid Ahmad Al-Sindi, Wajid Ali
Publikováno v:
Natural Science. :214-220
The aim of this study was to see the usefulness of fine needle aspiration by “theBethesdasystem for reporting Thyroid Cytopathology” (TBS- RTC) for non palpable thyroid nodules through ultrasound-guidance for the evaluation and treatment planning
Autor:
Madiha Arshad Sheikh, Fawnizu Azmadi Hussin, Nor Hisham Hamid, Vineeta Shukla, Noohul Basheer Zain Ali
Publikováno v:
VLSI Design
The research in the area of digital micro fluidics biochips testing is rapidly growing. The recently proposed Micro-electrode Dot Array (MEDA) based digital micro fluidics architecture allows dynamic grouping of the micro-electrodes to form the desir
Autor:
Noohul Basheer Zain Ali, Nor Hisham Hamid, Fawnizu Azmadi Hussin, Madiha Arshad Sheikh, Vineeta Shukla
Publikováno v:
2015 6th Asia Symposium on Quality Electronic Design (ASQED).
Reliability of digital microfluidic biochips (DMFB) emerges to be a critical issue, as they are becoming a popular alternative for laboratory experiments like DNA analysis, immunoassays and safety critical clinical diagnostics. To improve DMFB reliab
Autor:
Mulazim Hussain Bukhari, Shaharyar, Shahid Jamal, Shahid Bashir, Madiha Arshad, Shahida Niazi, Irfan Manzoor Bakhshi
Publikováno v:
Pathology Research International
Pathology Research International, Vol 2011 (2011)
Pathology Research International, Vol 2011 (2011)
Background. A study was designed to see the role of fine needle aspiration cytology (FNAC) in palpable breast lumps. Materials and Methods. Four hundred and twenty five (425) patients came to the Department of Pathology King Edward Medical University