TBME
IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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Jia Liu
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
Associated articles
TBME, Featured Articles
A Cascaded Deep Convolutional Neural Network for Joint Segmentation and Genotype Prediction of Brainstem Gliomas
Brainstem gliomas (BSGs) are a cancerous glioma tumor that occur in the brainstem. Diffuse intrinsic pontine gliomas (DIPG) account for 80% of BSGs in children and 45~50% in adults. Nearly 80% of pediatric DIPGs are induced by reprogramming the histone...
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Posted on 24 AUG 2018
TBME, Featured Articles
Tissue Structure Updating for In Situ Augmented Reality Navigation using Calibrated Ultrasound and Two-level Surface Warping
In minimally invasive surgery, in situ augmented reality (AR) navigation systems are usually implemented using a glasses-free 3D display to represent the preoperative tissue structure. However, due to changes in intraoperative tissue, the preoperative tissue structure is not able to exactly correspond to reality. To solve this problem, we propose a method to update the tissue structure for in situ AR navigation in such way to reflect changes in intraoperative tissue. Experiments confirm that the novel AR navigation system based on updating the tissue structure will open up a better approach to provide accurate 3D see-through guidance...
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Posted on 30 OCT 2020
JBHI, Featured Articles
A Data-Driven Approach to Transfer Function Analysis for Superior Discriminative Power: Optimized Assessment of Dynamic Cerebral Autoregulation
Jia Liu, Zhen-Ni Guo, David Martin Simpson, Pandeng Zhang, Chang Liu, Jia-Ning Song, Xinyi Leng, Yi Yang
Transfer function analysis (TFA) is extensively used to assess human physiological functions. However, extracting parameters from TFA is not usually optimized for detecting impaired function. In this study, we proposed to use data-driven approaches to improve the performance of TFA...
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Posted on 31 MAR 2021