Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|October 25, 2024
Evaluation of a Task-Specific Self-Supervised Learning Framework in Digital Pathology Relative to Transfer Learning Approaches and Existing Foundation ModelsTawsifur Rahman, Alexander S Baras, Rama Chellappa
International Journal of Legal Medicine|October 7, 2022
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurementsMubarak A Bidmos, Oladiran I Olateju, Sabiha Latiff, et al.
Polymers|February 15, 2022
Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning MethodologiesJing Wang, Mohamed Arselene Ayari, Amith Khandakar, et al.
Sensors (Basel, Switzerland)|July 19, 2020
An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair ControlMahmoud Dahmani, Muhammad E H Chowdhury, Amith Khandakar, et al.
Pharmaceutics|August 26, 2022
Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning ModelMaryam Najmi, Mohamed Arselene Ayari, Hamidreza Sadeghsalehi, et al.
Health Information Science and Systems|January 31, 2022
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural networkTawsifur Rahman, Alex Akinbi, Muhammad E H Chowdhury, et al.
Mikrochimica Acta|November 4, 2025
Surface plasmon resonance-based biosensor for accurate and rapid detection of Mycobacterium tuberculosisAhmed Afif Rafsan, Simanta Das, Kowshik Kumar Roy, et al.
NPJ Digital Medicine|October 21, 2024
Evaluation and mitigation of cognitive biases in medical language modelsSamuel Schmidgall, Carl Harris, Ime Essien, et al.
Cognitive Computation|April 26, 2021
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine LearningMuhammad E H Chowdhury, Tawsifur Rahman, Amith Khandakar, et al.
Biosensors|February 25, 2023
A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) ImagesAmran Hossain, Mohammad Tariqul Islam, Sharul Kamal Abdul Rahim, et al.
Pageof 3