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Magnetic Resonance in Medicine|May 19, 2018
Deep convolutional neural network for segmentation of knee joint anatomyZhaoye Zhou, Gengyan Zhao, Richard Kijowski, et al.
IEEE Transactions on Medical Imaging|August 24, 2018
Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient Sparse in Frequency Domain-Application to Mapping Reentrant Ventricular TachycardiaTing Yang, Steven M Pogwizd, Gregory P Walcott, et al.
Magnetic Resonance in Medicine|July 23, 2017
Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imagingFang Liu, Zhaoye Zhou, Hyungseok Jang, et al.
AJR. American Journal of Roentgenology|October 10, 2018
Maturation-Related Changes in T2 Relaxation Times of Cartilage and Meniscus of the Pediatric Knee Joint at 3 TJie C Nguyen, Hailey Allen, Fang Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Functional neuroimaging of dynamic brain activationBin He
IEEE Transactions on Bio-Medical Engineering|November 23, 2016
Focused Ultrasound Help Realize High Spatiotemporal Brain Imaging?-A Concept on Acousto-Electrophysiological NeuroimagingBin He
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
High-resolution Functional Source and Impedance ImagingBin He
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Three-dimensional electrocardiographic imagingBin He
IEEE Reviews in Biomedical Engineering|November 10, 2022
Editorial: A Message from the New Editor-In-ChiefBin He
Radiology|August 1, 2018
Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion DetectionFang Liu, Zhaoye Zhou, Alexey Samsonov, et al.
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