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Results for “"Rongjun Ge"”

21+ results

Genetic Polymorphism and Zoonotic Potential of <i>Enterocytozoon bieneusi</i> from Nonhuman Primates in China

Verified

Md Robiul Karim, Rongjun Wang, Haiju Dong, Longxian Zhang et al.

Journal: Applied and Environmental MicrobiologyYear: 2014Citations: 141

Enterocytozoon bieneusi is an important zoonotic pathogen. To assess the human-infective potential of E. bieneusi in nonhuman primates (NHPs), we examined the prevalence and genotype distribution of E. bieneusi in 23 NHP species by PCR and sequence analysis of the ribosomal internal transcribed spac...

Life SciencesImmunology and MicrobiologyParasitologyOpen Access
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Genetic Diversity in Enterocytozoon bieneusi Isolates from Dogs and Cats in China: Host Specificity and Public Health Implications

Verified

Md Robiul Karim, Haiju Dong, Fuchang Yu, Fuchun Jian et al.

Journal: Journal of Clinical MicrobiologyYear: 2014Citations: 122

To explore the genetic diversity, host specificity, and zoonotic potential of Enterocytozoon bieneusi, feces from 348 stray and pet dogs and 96 pet cats from different locations in China were examined by internal transcribed spacer (ITS)-based PCR. E. bieneusi was detected in 15.5% of the dogs, incl...

Life SciencesImmunology and MicrobiologyParasitologyOpen Access
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Predomination and New Genotypes of Enterocytozoon bieneusi in Captive Nonhuman Primates in Zoos in China: High Genetic Diversity and Zoonotic Significance

Verified

Md Robiul Karim, Haiju Dong, Tongyi Li, Fuchang Yu et al.

Journal: PLoS ONEYear: 2015Citations: 120

To appreciate the genetic diversity and zoonotic implications of Enterocytozoon bieneusi in nonhuman primates (NHPs) in zoos, we genotyped E. bieneusi in captive NHPs in seven zoos located at six major cities in China, using ribosomal internal transcribed spacer (ITS)-based PCR and sequence analyses...

Life SciencesImmunology and MicrobiologyParasitologyOpen Access
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ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network

Verified

Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu et al.

Journal: Medical Image AnalysisYear: 2020Citations: 78

Automatic and accurate esophageal lesion classification and segmentation is of great significance to clinically estimate the lesion statuses of the esophageal diseases and make suitable diagnostic schemes. Due to individual variations and visual similarities of lesions in shapes, colors, and texture...

Health SciencesMedicineSurgery
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Multilocus typing of Cryptosporidium spp. and Giardia duodenalis from non-human primates in China

Verified

Md Robiul Karim, Sumei Zhang, Fuchun Jian, Jiacheng Li et al.

Journal: International Journal for ParasitologyYear: 2014Citations: 66

Non-human primates (NHPs) are commonly infected with Cryptosporidium spp. and Giardia duodenalis. However, molecular characterisation of these pathogens from NHPs remains scarce. In this study, 2,660 specimens from 26 NHP species in China were examined and characterised by PCR amplification of 18S r...

Life SciencesImmunology and MicrobiologyParasitology
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First molecular characterization of enteric protozoa and the human pathogenic microsporidian, Enterocytozoon bieneusi, in captive snakes in China

Verified

Md Robiul Karim, Fuchang Yu, Jian Li, Junqiang Li et al.

Journal: Parasitology ResearchYear: 2014Citations: 48

Enteric protozoa are frequently found in snakes. Nevertheless, few studies regarding genetic characterization of these parasites have been carried out. We describe here the first molecular survey of protozoan pathogens from snakes in China and the first report on Enterocytozoon bieneusi genotyping i...

Life SciencesImmunology and MicrobiologyParasitology
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PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks

Verified

Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo et al.

Journal: Medical Image AnalysisYear: 2019Citations: 44

Accurate direct estimation of the left ventricle (LV) multitype indices from two-dimensional (2D) echocardiograms of paired apical views, i.e., paired apical four-chamber (A4C) and two-chamber (A2C), is of great significance to clinically evaluate cardiac function. It enables a comprehensive assessm...

Health SciencesMedicineCardiology and Cardiovascular MedicineOpen Access
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Multilocus sequence typing of Enterocytozoon bieneusi in nonhuman primates in China

Verified

Md Robiul Karim, Rongjun Wang, Xiaoyi He, Longxian Zhang et al.

Journal: Veterinary ParasitologyYear: 2013Citations: 43

To infer population genetics of Enterocytozoon bieneusi in nonhuman primates (NHPs), 126 positive specimens in 839 fecal specimens from 23 NHP species in China based on ITS locus were used, belonging to genotypes Type IV, D, Peru8, Henan V, Peru11, PigEBITS7 and 3 novel ones (CM1, CM2 and CM3). Mult...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Multi-locus analysis of Giardia duodenalis from nonhuman primates kept in zoos in China: Geographical segregation and host-adaptation of assemblage B isolates

Verified

Md Robiul Karim, Rongjun Wang, Fuchang Yu, Tongyi Li et al.

Journal: Infection Genetics and EvolutionYear: 2014Citations: 41

Only a few studies based on single locus characterization have been conducted on the molecular epidemiology of Giardia duodenalis in nonhuman primates (NHPs). The present study was conducted to examine the occurrence and genotype identity of G. duodenalis in NHPs based on multi-locus analysis of the...

Life SciencesImmunology and MicrobiologyParasitology
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Convolutional squeeze-and-excitation network for ECG arrhythmia detection

Verified

Rongjun Ge, Tengfei Shen, Ying Zhou, Chengyu Liu et al.

Journal: Artificial Intelligence in MedicineYear: 2021Citations: 40

Automatic detection of arrhythmia through an electrocardiogram (ECG) is of great significance for the prevention and treatment of cardiovascular diseases. In Convolutional neural network, the ECG signal is converted into multiple feature channels with equal weights through the convolution operation....

Health SciencesMedicineCardiology and Cardiovascular Medicine
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Development of a radiomics-based model to predict occult liver metastases of pancreatic ductal adenocarcinoma: a multicenter study

Verified

Ben Y. Zhao, Cong Xia, Tianyi Xia, Yue Qiu et al.

Journal: International Journal of SurgeryYear: 2023Citations: 29

BACKGROUND: Undetectable occult liver metastases block the long-term survival of pancreatic ductal adenocarcinoma (PDAC). This study aimed to develop a radiomics-based model to predict occult liver metastases and assess its prognostic capacity for survival. MATERIALS AND METHODS: Patients who underw...

Health SciencesMedicineOncologyOpen Access
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Multilocus Typing of <i>Enterocytozoon bieneusi</i> in Pig Reveals the High Prevalence, Zoonotic Potential, Host Adaptation and Geographical Segregation in China

Verified

Dongfang Li, Shuangjian Zheng, Chunxiang Zhou, Md Robiul Karim et al.

Journal: Journal of Eukaryotic MicrobiologyYear: 2019Citations: 27

Abstract Enterocytozoon bieneusi is one of the most frequently diagnosed Microsporidia of humans and most animals. However, there is no information on E. bieneusi infection of pigs in Tibet and Henan, China. In this study, 1,190 fecal samples were collected from pigs in Tibet and Henan and screened ...

Life SciencesImmunology and MicrobiologyParasitology
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Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training

Verified

Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge et al.

Journal: Lecture notes in computer scienceYear: 2023Citations: 11
Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network

Verified

Yuan Gao, Han Chen, Rongjun Ge, Zhan Wu et al.

Journal: International Journal of Computer Assisted Radiology and SurgeryYear: 2022Citations: 9

Purpose Clinical rib fracture diagnosis via computed tomography (CT) screening has attracted much attention in recent years. However, automated and accurate segmentation solutions remain a challenging task due to the large sets of 3D CT data to deal with. Down-sampling is often required to face comp...

Health SciencesMedicineSurgery
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Deep learning prediction of survival in patients with heart failure using chest radiographs

Verified

Jia Han, Shengen Liao, Xiaomei Zhu, Wangyan Liu et al.

Journal: The International Journal of Cardiovascular ImagingYear: 2024Citations: 3

Heart failure (HF) is associated with high rates of morbidity and mortality. The value of deep learning survival prediction models using chest radiographs in patients with heart failure is currently unclear. The aim of our study is to develop and validate a deep learning survival prediction model us...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Conditional Virtual Imaging for Few-Shot Vascular Image Segmentation

Verified

Yanglong He, Rongjun Ge, Hui Tang, Yuxin Liu et al.

Journal: IEEE Transactions on Medical ImagingYear: 2025Citations: 1

In the field of medical image processing, vascular image segmentation plays a crucial role in clinical diagnosis, treatment planning, prognosis, and medical decision-making. Accurate and automated segmentation of vascular images can assist clinicians in understanding the vascular network structure, ...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Generative data-engine foundation model for universal few-shot 2D vascular image segmentation

Verified

Rongjun Ge, XIN LI, Yuxing Liu, Chengliang Liu et al.

Journal: Medical Image AnalysisYear: 2026

The segmentation of 2D vascular structures via deep learning holds significant clinical value but is hindered by the scarcity of annotated data, severely limiting its widespread application. Developing a universal few-shot vascular segmentation model is highly desirable, yet remains challenging due ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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VCC-DSA: A novel vascular consistency constrained DSA imaging model for motion artifact suppression

Verified

Rongjun Ge, Weilong Mao, Jian Lu, Rong Yan et al.

Journal: Medical Image AnalysisYear: 2026

Digital Subtraction Angiography (DSA) is a clinically significant imaging technique for diagnosing cerebrovascular disease, as gold-standard. However, the artifacts caused by motion of high-attenuation tissues such as bones, teeth, and catheters, seriously reduce the visibility of blood vessels. Cur...

Health SciencesMedicinePulmonary and Respiratory Medicine
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Enhanced vertebrae localization in CT volumes: a two-stage deep learning framework

Verified

Hongzhi Liu, Junyang Han, Lingyue Jiang, Y Zhang et al.

Journal: BMC Medical ImagingYear: 2026

BACKGROUND: Vertebral landmark localization in computed tomography (CT) volumes is crucial for spinal pathological diagnosis, postoperative assessment and surgical planning. However, vertebral localization within high-resolution three-dimensional CT volumes still poses prominent challenges. METHODS:...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Imaging foundation model for universal enhancement of non-ideal measurement CT

Verified

Yuxin Liu, Rongjun Ge, Yuting He, Zhan Wu et al.

Journal: Nature CommunicationsYear: 2026

Non-ideal measurement computed tomography (CT) employs suboptimal imaging protocols to expand CT applications. However, the resulting trade-offs degrade image quality, limiting clinical acceptability. Although deep learning methods have been used to enhance non-ideal measurement CT images, their rel...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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