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A Review on Deep Learning Architecture and Methods for MRI Brain Tumour Segmentation.
In Current medical imaging
BACKGROUND :
INTRODUCTION :
METHODS :
RESULTS AND CONCLUSION :
Angulakshmi M Deepa M
2021-Jan-08
Architecture, Brain Tumour, Classification, Deep Learning, MRI, challenges.

Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec.
In Annals of operations research
Khalilpourazari Soheyl, Hashemi Doulabi Hossein
2021-Jan-03
COVID-19 pandemic, Machine learning, Reinforcement learning, SARS-Cov-2, SIDARTHE

Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn.
In Arabian journal for science and engineering
Duru Ismail, Sunar Ayse Saliha, White Su, Diri Banu
2021-Jan-06
Deep learning, English as a second language, FutureLearn, MOOCs, Natural language processing, Predictive models

Computed Tomography Image Analysis in Abdominal Wall Reconstruction: A Systematic Review.
In Plastic and reconstructive surgery. Global open ; h5-index 27.0
** :
Methods :
Results :
Conclusions :
Elfanagely Omar, Mellia Joseph A, Othman Sammy, Basta Marten N, Mauch Jaclyn T, Fischer John P
2020-Dec

3D printing of tissue engineering scaffolds: a focus on vascular regeneration.
In Bio-design and manufacturing
Wang Pengju, Sun Yazhou, Shi Xiaoquan, Shen Huixing, Ning Haohao, Liu Haitao
2021-Jan-04
3D printing, Modeling methods, Print materials, Tissue engineering, Vascular scaffolds

Explainable artificial intelligence for heart rate variability in ECG signal.
In Healthcare technology letters
K Sanjana, V Sowmya, E A Gopalakrishnan, K P Soman
2020-Dec
CU-ventricular tachycardia data, ECG signal, MIT-BIH malignant ventricular ectopy database, RCNN model, atrial fibrillation, cardiac diseases, cardiovascular system, convolutional neural nets, deep learning architectures, deep learning model, deep learning models, diseases, electrocardiogram signal, electrocardiography, learning (artificial intelligence), medical signal processing, signal classification, sinus tachycardia, tachycardia disease, ventricular fibrillation
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