653 citations
- Cornell UniversityUS6 papers
- Hamad bin Khalifa UniversityQA4 papers
- Qatar FoundationQA4 papers
- Weill Cornell MedicineUS4 papers
- Hamad Medical CorporationQA3 papers
- Qatar UniversityQA3 papers
- Sidra Medical and Research CenterQA2 papers
- Academic Bridge ProgramQA1 paper
- Bangladesh Medical UniversityBD1 paper
- Borough of Manhattan Community CollegeUS1 paper
- Chemnitz University of TechnologyDE1 paper
- City University of New YorkUS1 paper
31 papers
Deep Learning for Surgical Instrument Recognition and Segmentation in Robotic-Assisted Surgeries: A Systematic Review
Fatimaelzahraa Ali Ahmed, Mahmoud Yousef, Mariam Ali Ahmed +7
Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. Th…
Incorporating Interventions to an Extended SEIRD Model with Vaccination: Application to COVID-19 in Qatar
Elizabeth B Amona, Ryad A Ghanam, Edward L Boone +2
The Covid-19 outbreak of 2020 has required many governments to develop and adopt mathematical-statistical models of the pandemic for policy and planning purposes. To this end, this…
Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images
Mahmood Alzubaidi, Marco Agus, Khalid Alyafei +6
Developing innovative informatics approaches aimed to enhance fetal monitoring is a burgeoning field of study in reproductive medicine. Several reviews have been conducted regardin…
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir +8
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very impo…
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
Mete Ahishali, Aysen Degerli, Mehmet Yamac +6
Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning…
Ensemble learning with 3D convolutional neural networks for connectome-based prediction
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski +1
The specificty and sensitivity of resting state functional MRI (rs-fMRI) measurements depend on pre-processing choices, such as the parcellation scheme used to define regions of in…