Search Results - "Peng, Yunsong"

SCGB2A2 as a predictor of prognosis and response to immune-checkpoint blockage in metastatic triple-negative invasive breast cancer by Zheng, Yu, Peng, Yunsong

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msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping by He, Junjie, Peng, Yunsong, Fu, Bangkang, Zhu, Yuemin, Wang, Lihui, Wang, Rongpin

“…•Self-supervised learning for arbitrary resolution quantitative susceptibility mapping (QSM), trained on one resolution data.•Morphology-based loss to reduce…”
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Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer by Peng, Yunsong, Cheng, Ziliang, Gong, Chang, Zheng, Chushan, Zhang, Xiang, Wu, Zhuo, Yang, Yaping, Yang, Xiaodong, Zheng, Jian, Shen, Jun

“…To compare the performances of deep learning (DL) to radiomics analysis (RA) in predicting pathological complete response (pCR) to neoadjuvant chemotherapy…”
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BMNet: A New Region-Based Metric Learning Method for Early Alzheimer's Disease Identification With FDG-PET Images by Cui, Wenju, Yan, Caiying, Yan, Zhuangzhi, Peng, Yunsong, Leng, Yilin, Liu, Chenlu, Chen, Shuangqing, Jiang, Xi, Zheng, Jian, Yang, Xiaodong

“…18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) reveals altered brain metabolism in individuals with mild cognitive impairment (MCI) and…”
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Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network by Xiao, Bingbing, Sun, Haotian, Meng, You, Peng, Yunsong, Yang, Xiaodong, Chen, Shuangqing, Yan, Zhuangzhi, Zheng, Jian

“…The classification of benign and malignant microcalcification clusters (MCs) is an important task for computer-aided diagnosis (CAD) of digital breast…”
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Spatiotemporal expression patterns of genes coding for plasmalemmal chloride transporters and channels in neurological diseases by Huang, Yanruo, Wang, Qihang, Peng, Yunsong, Du, Wenjie, Wang, Qi, Qi, Jiangtao, Hao, Zijian, Wang, Yingwei

“…Neuronal voltage changes which are dependent on chloride transporters and channels are involved in forming neural functions during early development and…”
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Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions by Zhang, Qian, Peng, Yunsong, Liu, Wei, Bai, Jiayuan, Zheng, Jian, Yang, Xiaodong, Zhou, Lijuan

“…Background MRI‐based radiomics has been used to diagnose breast lesions; however, little research combining quantitative pharmacokinetic parameters of dynamic…”
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FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images by Cui, Wenju, Peng, Yunsong, Yuan, Gang, Cao, Weiwei, Cao, Yuzhu, Lu, Zhengda, Ni, Xinye, Yan, Zhuangzhi, Zheng, Jian

“…ABSTRACT Purpose Recent studies have illustrated that the peritumoral regions of medical images have value for clinical diagnosis. However, the existing…”
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Diffusion Tensor and Kurtosis MRI‐Based Radiomics Analysis of Kidney Injury in Type 2 Diabetes by Yang, Daoyu, Tian, Chong, Liu, Jian, Peng, Yunsong, Xiong, Zhenliang, Da, Jingjing, Yang, Yuqi, Zha, Yan, Zeng, Xianchun

“…Background Diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) can provide quantitative parameters that show promise for evaluation of diabetic…”
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SIM-Net: A specific information-based multi-modal network for accurate diagnosis of breast lesions in multi-parametric MRI: A multi-center study by Peng, Yunsong, Zheng, Yu, Han, Lulu, Sun, Liangquan

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HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation by Fu, Bangkang, Peng, Yunsong, He, Junjie, Tian, Chong, Sun, Xinhuan, Wang, Rongpin

“…Accurate medical image segmentation is of great significance for subsequent diagnosis and analysis. The acquisition of multi-scale information plays an…”
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Combining radiomics and deep learning features of intra-tumoral and peri-tumoral regions for the classification of breast cancer lung metastasis and primary lung cancer with low-dose CT by Li, Lei, Zhou, Xinglu, Cui, Wenju, Li, Yingci, Liu, Tianyi, Yuan, Gang, Peng, Yunsong, Zheng, Jian

“…Purpose To investigate the performance of deep learning and radiomics features of intra-tumoral region (ITR) and peri-tumoral region (PTR) in the diagnosing of…”
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SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images by He, Junjie, Zhang, Mudan, Li, Wuchao, Peng, Yunsong, Fu, Bangkang, Liu, Chen, Wang, Jian, Wang, Rongpin

“…Gastric cancer is a significant contributor to cancer-related fatalities globally. The automated segmentation of gastric tumors has the potential to analyze…”
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A nutrition-based radiomics–clinical model to predict the prognosis of patients with acute-on-chronic liver failure by Zhang, Qian, Peng, Yunsong, Lei, Siyi, Xiong, Tingting, Zhang, Liulu, Peng, Hong, Luo, Xinhua, Wang, Rongpin

“…•It's the first time a study has extracted radiomics features from muscle and fat to reflect the patient’s nutritional status.•We combined nutrition-based…”
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GEMIN6 Overexpression Correlates with the Low Immune Cell Infiltration and Poor Prognosis in Lung Adenocarcinoma by Peng, Yunsong, Wang, Zeng, Cai, Jianyong, Dong, Xiaoqiao, Du, Quan

“…Background. Gem nuclear organelle-associated protein 6 (GEMIN6) is a component of the GEMINS protein family involved in the survival of motor neuron (SMN)…”
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An explainable machine learning estimated biological age based on morphological parameters of the spine by Xu, Zi, Peng, Yunsong, Zhang, Mudan, Wang, Rongpin, Yang, Zhenlu

“…Accurately estimating biological age is beneficial for measuring aging and predicting risk. It is widely accepted that the prevalence of spine compression…”
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3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection by Zheng, Jian, Sun, Haotian, Wu, Shandong, Jiang, Ke, Peng, Yunsong, Yang, Xiaodong, Zhang, Fan, Li, Ming

“…False positives (FPs) reduction is indispensable for clustered microcalcifications (MCs) detection in digital breast tomosynthesis (DBT), since there might be…”
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3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC by Yan, Chongzhe, Liu, Feng, Peng, Yunsong, Zhao, Yuanshen, He, Junjie, Wang, Rongpin

“…•The prostate gland and tumor segmentation on T2WI and ADC.•Combined multi-parameter MRI enhances the input universality.•Network with edge detection improves…”
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A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI by Liu, Feng, Zhao, Yuanshen, Song, Jukun, Tu, Guilan, Liu, Yadong, Peng, Yunsong, Mao, Jiahui, Yan, Chongzhe, Wang, Rongpin

“…•Hybrid bi-classification with the radiomics and CNN.•Mirror comparison in the radiomics features selection.•Adjustable features dimension in the refined…”
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Multimodal cross enhanced fusion network for diagnosis of Alzheimer’s disease and subjective memory complaints by Leng, Yilin, Cui, Wenju, Peng, Yunsong, Yan, Caiying, Cao, Yuzhu, Yan, Zhuangzhi, Chen, Shuangqing, Jiang, Xi, Zheng, Jian

“…Deep learning methods using multimodal imagings have been proposed for the diagnosis of Alzheimer’s disease (AD) and its early stages (SMC, subjective memory…”
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