Explanipedia

The effect of complex training and ballistic exercise on the time-course adaptations of lower extremity explosive strength in elite female field hockey players Open

Shuo Wang, Xianglong Jiang, Zitong Chen, Xiaoping Xing, Xiaofeng Zhang , et al. · 2025

Objective To compare the short- and long-term effects of complex training (CT) and ballistic exercise (BE) on lower-limb explosive performance in elite female hockey players and to identify temporal adaptation patterns. Methods Twenty-four…

Effects of aerobic exercise combined with blood flow restriction on physical fitness and mental health of high school students Open

Xiaoxing Jiang, Tongtong Che · 2025

Objective This study aims to investigate the combined effects of aerobic exercise and Blood Flow Restriction (BFR) on physical fitness and mental health among high school students, providing empirical evidence for the reform and optimizati…

Combined low intensity blood flow restriction and high intensity half squat training improves lower limb force development in adolescent wrestlers Open

Xiaoxing Jiang, Tongtong Che, Lei Zhang, Chengxin Li · 2025

Blood flow restriction training (BFRT) has attracted attention due to its advantages in muscle strength enhancement. This paper investigates the effects of different training programs on teenage female wrestlers' lower limb strength. Twent…

Spatial-demographic analysis model for brain metastases distribution Open

Lin Zhang, Tongtong Che, Bowen Xin, Shuyu Li, Guanzhong Gong , et al. · 2025

Purpose The distribution analysis of the morphologic characteristics and spatial relations among brain metastases (BMs) to guide screening and early diagnosis. Material and Methods This retrospective study analysed 4314 BMs across 30 brain…

A paired dataset of multi-modal MRI at 3 Tesla and 7 Tesla with manual hippocampal subfield segmentations Open

Lei Chu, Baoqiang Ma, Xiaoxi Dong, Yirong He, Tongtong Che , et al. · 2025

Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field 7T MRI Synthesis and Hippocampal Subfield Segmentation in Routine 3T MRI Open

Xinwei Li, Linjin Wang, Hong Liu, Baoqiang Ma, Lei Chu , et al. · 2023

Precise delineation of hippocampus subfields is crucial for the identification and management of various neurological and psychiatric disorders. However, segmenting these subfields automatically in routine 3T MRI is challenging due to thei…

Graph neural networks for image‐guided disease diagnosis: A review Open

Lin Zhang, Yan Zhao, Tongtong Che, Shuyu Li, Xiuying Wang · 2023

Medical imaging is playing an increasingly crucial role in disease diagnosis. Numerous deep learning‐based methods have been developed for image‐guided automatic disease diagnosis. Most of the methods have harnessed conventional convolutio…

Coupling of the spatial distributions between sMRI and PET reveals the progression of Alzheimer’s disease Open

Kun Zhao, Jiaji Lin, Martin Dyrba, Dong Wang, Tongtong Che , et al. · 2022

Amyloid-beta (Aβ) deposition and altered brain structure are the most relevant neuroimaging biomarkers for Alzheimer’s disease (AD). However, their spatial inconsistency was always confusing and misleading. Furthermore, the relationship be…

Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment (Adv. Sci. 12/2022) Open

Kun Zhao, Qiang Zheng, Martin Dyrba, Timothy Rittman, Ang Li , et al. · 2022

Regional Radiomics Similarity Networks Reveal Distinct Subtypes in the Mild Cognitive Impairment In article number 2104538 by Kun Zhao, Yong Liu, Shuyu Li, and co‐workers, two mild cognitive impairment (MCI) subtypes are identified by empl…

A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data Open

Leiming Jin, Kun Zhao, Yan Zhao, Tongtong Che, Shuyu Li · 2022

Multimodality neuroimages have been widely applied to diagnose mild cognitive impairment (MCI). However, the missing data problem is unavoidable. Most previously developed methods first train a generative adversarial network (GAN) to synth…

Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment Open

Kun Zhao, Qiang Zheng, Martin Dyrba, Timothy Rittman, Ang Li , et al. · 2022

Individuals with mild cognitive impairment (MCI) of different subtypes show distinct alterations in network patterns. The first aim of this study is to identify the subtypes of MCI by employing a regional radiomics similarity network (R2SN…

Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework Open

Yan Zhao, Baoqiang Ma, Tongtong Che, Qiongling Li, Debin Zeng , et al. · 2021

Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis Open

Kun Zhao, Qiang Zheng, Tongtong Che, Martin Dyrba, Qiongling Li , et al. · 2021

A structural covariance network (SCN) has been used successfully in structural magnetic resonance imaging (sMRI) studies. However, most SCNs have been constructed by a unitary marker that is insensitive for discriminating different disease…

SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks Open

Tongtong Che, Yuanjie Zheng, Yunshuai Yang, Sujuan Hou, Weikuan Jia , et al. · 2021

There is a growing consensus in computer vision that symmetric optical flow estimation constitutes a better model than a generic asymmetric one for its independence of the selection of source/target image. Yet, convolutional neural network…

Screening for Glaucoma from Fundus Images via Multitask Deep Learning Open

Shuo Li, Xiaodan Sui, Yu Wang, Tongtong Che, Wanzhen Jiao , et al. · 2020

Joint Deep Matching Model of OCT Retinal Layer Segmentation Open

Mei Yang, Yuanjie Zheng, Weikuan Jia, Yunlong He, Tongtong Che , et al. · 2020

Optical Coherence Tomography (OCT) is very important in medicine and provide useful diagnostic information. Measuring retinal layer thicknesses plays a vital role in pathophysiologic factors of many ocular conditions. Amo... | Find, read a…

Deep Group-Wise Registration for Multi-Spectral Images From Fundus Images Open

Tongtong Che, Yuanjie Zheng, Jinyu Cong, Yanyun Jiang, Yi Niu , et al. · 2019

Multi-spectral imaging (MSI) is a novel non-invasive tool for visualizing the entire span of the eye, from the internal limiting membrane to the choroid. However, spatial misalignments can be frequently observed in sequential MSI images be…

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