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Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning.
In Stroke ; h5-index 83.0
BACKGROUND AND PURPOSE :
Brugnara Gianluca, Neuberger Ulf, Mahmutoglu Mustafa A, Foltyn Martha, Herweh Christian, Nagel Simon, Schönenberger Silvia, Heiland Sabine, Ulfert Christian, Ringleb Peter Arthur, Bendszus Martin, Möhlenbruch Markus A, Pfaff Johannes A R, Vollmuth Philipp
angiography, cerebral infarction, machine learning, perfusion imaging, stroke, thrombectomy, tomography, spiral computed
Radiology in the News: A Content Analysis of Radiology-Related Information Retrieved From Google Alerts.
In Current problems in diagnostic radiology
MATERIALS AND METHODS :
Munawar Kamran, Sugi Mark D, Prabhu Vinay
Anwaar Ulhaq, Oliver Burmeister
Gathika Ratnayaka, Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner
ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.
Cheng Kok Suen, Pan Rongbin, Pan Huaping, Li Binglin, Meena Stephene Shadrack, Xing Huan, Ng Ying Jing, Qin Kaili, Liao Xuan, Kosgei Benson Kiprono, Wang Zhipeng, Han Ray P S
ALICE, cell phenotyping software, circulating hybrid cells, hybrid artificial intelligence, image forgery detection
MH-COVIDNet: Diagnosis of COVID-19 using Deep Neural Networks and Meta-heuristic-based Feature Selection on X-ray Images.
In Biomedical signal processing and control
BGWO, BPSO, COVID-19, deep learning models, pneumonia