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Medical & Biological Engineering & Computing|March 23, 2022
A customized acutance metric for quality control applications in MRISimi Venuji Renuka, Damodar Reddy Edla, Justin JosephMedical & Biological Engineering & Computing|March 25, 2022
NICOV : a model to analyse impact of nutritional status and immunity on COVID-19Zakir Hussain, Malaya Dutta BorahMedical & Biological Engineering & Computing|March 30, 2022
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patientsLorenzo Famiglini, Andrea Campagner, Anna Carobene, et al.Medical & Biological Engineering & Computing|April 7, 2022
Multiple instance learning for lung pathophysiological findings detection using CT scansJulieta Frade, Tania Pereira, Joana Morgado, et al.Medical & Biological Engineering & Computing|March 29, 2022
Closed-loop sacral neuromodulation for bladder function using dorsal root ganglia sensory feedback in an anesthetized feline modelZhonghua Ouyang, Nikolas Barrera, Zachariah J Sperry, et al.Medical & Biological Engineering & Computing|April 1, 2022
Reconstruction of carotid stenosis hemodynamics based on guidewire pressure data and computational modelingHuy Dinh, Fernando Vinuela, Viktor Szeder, et al.Medical & Biological Engineering & Computing|October 16, 2021
Development of a tracking error prediction system for the CyberKnife Synchrony Respiratory Tracking System with use of support vector regressionKohei Okawa, Mitsuhiro Inoue, Takeji SakaeMedical & Biological Engineering & Computing|October 18, 2021
Enhancement and denoising method for low-quality MRI, CT images via the sequence decomposition Retinex model, and haze removal algorithmLei Chen, Chen Tang, Min Xu, et al.Medical & Biological Engineering & Computing|March 8, 2022
Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test imageKeQing Wu, ShengBao Duan, YuJue Wang, et al.Medical & Biological Engineering & Computing|March 18, 2022
Predicting residues involved in anti-DNA autoantibodies with limited neural networksRachel St Clair, Michael Teti, Mirjana Pavlovic, et al.Pageof 513