Lihua Chen

ORCID: 0000-0001-7249-2014
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • MRI in cancer diagnosis
  • Advanced MRI Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Advanced Neuroimaging Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Liver Disease Diagnosis and Treatment
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Neonatal and fetal brain pathology
  • Lanthanide and Transition Metal Complexes
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Renal cell carcinoma treatment
  • Economic theories and models
  • Functional Brain Connectivity Studies
  • Phytochemistry and Biological Activities
  • Natural Compound Pharmacology Studies
  • Prostate Cancer Diagnosis and Treatment
  • Biological Activity of Diterpenoids and Biflavonoids
  • Gastric Cancer Management and Outcomes
  • Fetal and Pediatric Neurological Disorders
  • Plant Molecular Biology Research
  • Atomic and Subatomic Physics Research
  • Plant Parasitism and Resistance
  • Radiopharmaceutical Chemistry and Applications
  • Prostate Cancer Treatment and Research

Chongqing Cancer Hospital
2023-2025

Chongqing University
2023-2025

Tianjin First Center Hospital
2012-2025

Nankai University
2021-2025

Tianjin Medical University
2015-2025

Dalian Medical University
2015-2025

First Affiliated Hospital of Dalian Medical University
2021-2025

Guiyang Medical University
2025

Key Laboratory of Chemistry for Natural Products of Guizhou Province and Chinese Academy of Sciences
2025

South China Normal University
2021-2024

To develop and evaluate a novel deep learning-based reconstruction framework called SANTIS (Sampling-Augmented Neural neTwork with Incoherent Structure) for efficient MR image improved robustness against sampling pattern discrepancy.With combination of data cycle-consistent adversarial network, end-to-end convolutional neural network mapping, fidelity enforcement reconstructing undersampled data, additionally utilizes sampling-augmented training strategy by extensively varying undersampling...

10.1002/mrm.27827 article EN Magnetic Resonance in Medicine 2019-06-05

To evaluate renal allografts function early after transplantation using intravoxel incoherent motion (IVIM) and arterial spin labeling (ASL) MRI. This prospective study was approved by the local ethics committee, written informed consent obtained from all participants. A total of 82 participants with 62 allograft recipients (2–4 weeks kidney transplantation) 20 volunteers were enrolled to be scanned IVIM ASL MRI on a 3.0 T MR scanner. Recipients divided into two groups either normal or...

10.1016/j.mri.2016.04.022 article EN cc-by-nc-nd Magnetic Resonance Imaging 2016-04-29

Noninvasive and precise methods to estimate treatment response identify hepatocellular carcinoma (HCC) patients who could benefit from transarterial chemoembolization (TACE) are urgently required. The present study aimed investigate the ability of intratumoral peritumoral radiomics based on contrast-enhanced magnetic resonance imaging (CE-MRI) preoperatively predict tumor TACE in HCC patients.A total 138 with received were retrospectively included randomly divided into training validation...

10.1186/s12885-023-11491-0 article EN cc-by BMC Cancer 2023-10-24

// Wei Chu 1, * , Weiwei Jin 2, Daihong Liu 3 Jian Wang Chengjun Geng 4 Lihua Chen and Xuequan Huang 1 Department of Radiology, Wuxi Huishan District People’s Hospital, Jiangsu Province, 214187, China 2 Second Traditional Chinese Medicine 214121, Southwest Third Military Medical University, Chongqing, 400038, PLA No.101 Wuxi, 214044, These authors contributed equally to this work Correspondence to: Huang, email: hxuequan@163.com Chen, clhaaa2002@163.com Keywords: magnetic resonance...

10.18632/oncotarget.23195 article EN Oncotarget 2017-12-11

Type 2 diabetes mellitus (T2DM) affects a vast population and is closely associated with cognitive impairment. However, the mechanisms of impairment in T2DM patients have not been unraveled. Research on basic units (nodes or hubs edges) brain functional network basis neuroimaging may advance our understanding change pattern patients. This study investigated patterns using degree centrality (DC) analysis connectivity among these Granger causality analysis. Compared to healthy controls, DC...

10.3389/fnagi.2018.00055 article EN cc-by Frontiers in Aging Neuroscience 2018-03-06

To prospectively investigate the relationship between apparent diffusion coefficient (ADC) and cellularity in lung cancer.Sixty patients histopathologically confirmed with cancer (41 men, 19 women) underwent diffusion-weighted magnetic resonance imaging of chest (with b values 50 1000 s/mm2). The median mean ADC (ADC mean) value minimum min) within each primary tumour were calculated compared nucleo-cytoplasmic ratio (NCR), which was selected to represent cellularity. correlation NCR...

10.1371/journal.pone.0099865 article EN cc-by PLoS ONE 2014-06-11

Left ventricular ejection fraction (LVEF) plays as an essential role in the assessment of cardiac function, providing quantitative data support for medical diagnosis heart disease. Robust evaluation relies on accurate left (LV) segmentation echocardiograms. Because human bias and expensive labor cost exist manual echocardiographic analysis, computer algorithms deep-learning have been developed to help experts tasks. Most previous work is based convolutional neural networks (CNN) structure...

10.3390/diagnostics13142365 article EN cc-by Diagnostics 2023-07-13

Abstract The invasion of Mikania micrantha by climbing and covering trees has rapidly caused the death many shrubs trees, seriously endangering forest biodiversity. In this study, M. seedlings were planted together with local tree species ( Cryptocarya concinna ) to simulate process under forest. We found that upper part stem lost its support after top tree, grew in a turning creeping manner, then branches cover canopy. Then, we simulated branching through treatment. large number had been...

10.1186/s12870-024-05210-5 article EN cc-by BMC Plant Biology 2024-06-07

Background Dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) has been shown to be a promising technique for assessing lung lesions. However, DCE‐MRI often suffers from motion artifacts and insufficient speed. Therefore, highly accelerated free‐breathing is of clinical interest exams. Purpose To test the performance rapid simultaneous qualitative quantitative assessment pulmonary lesions using Golden‐angle RAdial Sparse Parallel (GRASP) imaging. Study Type Prospective. Population...

10.1002/jmri.25977 article EN Journal of Magnetic Resonance Imaging 2018-02-13

Background Microsatellite instability (MSI), caused by mismatch repair (MMR) protein defects that lead to uncorrectable bases, results in the accumulation of gene mutations and ultimately tumors. Preoperative prediction MSI can provide a basis for personalized precise treatment endometrial cancer (EC) patients. Purpose To investigate amide proton transfer weighting (APTw) imaging combined with intravoxel incoherent motion (IVIM) assessment EC. Study Type Retrospective. Population A total 71...

10.1002/jmri.28287 article EN Journal of Magnetic Resonance Imaging 2022-06-23

Hypericumonates A–C, the first α-pyrone meroterpenoid dimers with two motifs (a 6/6/4-6/6 ring system) connected via C-8–C-9, were isolated from Hypericum monogynum . (+)-1 exhibited good anti-neuroinflammatory activity.

10.1039/d4qo02179g article EN Organic Chemistry Frontiers 2025-01-01

The increasing atmospheric nitrogen deposition, characterized by a rising proportion of nitrate (NO 3 ⁻-N), is exacerbating the spread invasive plant species. Despite this trend, response mechanisms Mikania micrantha , highly plant, to NO ⁻-N remain poorly understood. This study investigates unique adaptation strategies M. elevated levels, providing novel insights into its success under changing deposition patterns. Field experiments showed that rhizosphere soil contained higher – N content...

10.3389/fpls.2025.1525303 article EN cc-by Frontiers in Plant Science 2025-05-02

<title>Abstract</title> Background No study has assessed the application of deep learning (DL) networks in combination with more advanced super-resolution (SR) reconstruction for endometrial cancer (EC) MRI and influence this methods on myometrial invasion. We aimed to evaluate performance clinical value DL-based SR image quality improvement under-sampling accelerated EC T2WI. Methods Two sets T2WI were acquired 23 volunteers low (T2<sub>LR</sub>) high (T2<sub>HR</sub>) resolution,...

10.21203/rs.3.rs-6484322/v1 preprint EN Research Square (Research Square) 2025-05-08
Coming Soon ...