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Medical & Biological Engineering & Computing|October 28, 2021
Multivariate ensemble classification for the prediction of symptoms in patients with Brugada syndromeDaniel Romero, Mireia Calvo, Virginie Le Rolle, et al.Medical & Biological Engineering & Computing|October 6, 2021
A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoringMuni Raj Maurya, Najam U S Sahar Riyaz, M Sai Bhargava Reddy, et al.Medical & Biological Engineering & Computing|March 10, 2022
DCNN-based prediction model for detection of age-related macular degeneration from color fundus imagesRivu Chakraborty, Ankita PramanikMedical & Biological Engineering & Computing|March 3, 2022
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa RicaSaul Calderon-Ramirez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, et al.Medical & Biological Engineering & Computing|March 4, 2022
Recurrent neural network to predict hyperelastic constitutive behaviors of the skeletal muscleAbbass Ballit, Tien-Tuan DaoMedical & Biological Engineering & Computing|March 4, 2022
Ludic Table: a comparative study between playful rehabilitation and kinesiotherapy in restricting upper limb movements in individuals with strokeEduardo Juliano Alberti, Adriano Dias Santos Targa, Sérgio Francisco Pichorim, et al.Medical & Biological Engineering & Computing|March 2, 2022
DPSF: a Novel Dual-Parametric Sigmoid Function for Optical Coherence Tomography Image EnhancementI P Okuwobi, Z Ding, J Wan, et al.Medical & Biological Engineering & Computing|March 3, 2022
The evaluation of artificial talus implant on ankle joint contact characteristics: a finite element study based on four subjectsTao Liu, Nadr Jomha, Samer Adeeb, et al.Medical & Biological Engineering & Computing|March 24, 2022
Hybrid multi-kernel SVM algorithm for detection of microaneurysm in color fundus imagesD Jeba Derwin, B Priestly Shan, O Jeba SinghMedical & Biological Engineering & Computing|September 15, 2018
ECG-based pulse detection during cardiac arrest using random forest classifierAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.Pageof 513