Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.
Bartoszewicz, J. M.; Seidel, A.; Renard, B. Y.
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors.
Bernal Jose, Valverde Sergi, Kushibar Kaisar, Cabezas Mariano, Oliver Arnau, Lladó Xavier
Brain MRI, Cerebral atrophy, Convolutional neural networks, Image generation, Longitudinal atrophy synthesis
A bibliometric analysis of comparative research on the evolution of international and Chinese green supply chain research hotspots and frontiers.
In Environmental science and pollution research international
Zhou Xinyu, Li Tuochen, Ma Xiaoqi
Bibliometrics, Evolution of frontiers, Green supply chain, Mapping knowledge domain, Research hotspots, Visualization
Evaluation of a novel artificial intelligence-based screening system for diabetic retinopathy in community of China: a real-world study.
In International ophthalmology
TRANSLATIONAL RELEVANCE :
Ming Shuai, Xie Kunpeng, Lei Xiang, Yang Yingrui, Zhao Zhaoxia, Li Shuyin, Jin Xuemin, Lei Bo
Artificial intelligence, Deep neural network, Diabetic retinopathy, Fundus photography, Rreal-world study
Estimating aortic thoracic aneurysm rupture risk using tension-strain data in physiological pressure range: an in vitro study.
In Biomechanics and modeling in mechanobiology ; h5-index 36.0
He Xuehuan, Avril Stephane, Lu Jia
ATAA, Machine learning, Rupture, Strength
In Journal of neural transmission (Vienna, Austria : 1996)
Oyama Genko, Hattori Nobutaka
AI, Quantitative analysis, TBS, TENS, Wearable device, rTMS, tDCDS