A5013349510- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Reproductive System and Pregnancy
- Pregnancy and preeclampsia studies
- Reproductive Biology and Fertility
- Prenatal Screening and Diagnostics
- Birth, Development, and Health
- Assisted Reproductive Technology and Twin Pregnancy
- Medical Imaging and Analysis
- Advanced Image and Video Retrieval Techniques
- Cancer-related molecular mechanisms research
- Sperm and Testicular Function
- Radiomics and Machine Learning in Medical Imaging
- Effects and risks of endocrine disrupting chemicals
- COVID-19 diagnosis using AI
- Renal and related cancers
- Brain Tumor Detection and Classification
- Reproductive Physiology in Livestock
- Acupuncture Treatment Research Studies
- Pregnancy and Medication Impact
- Image Retrieval and Classification Techniques
- Interprofessional Education and Collaboration
- Ferroptosis and cancer prognosis
- Cancer Mechanisms and Therapy
- Chronic Obstructive Pulmonary Disease (COPD) Research
Women's Hospital, School of Medicine, Zhejiang University
2015-2025
Shanghai University of Traditional Chinese Medicine
2022-2023
Group Sense (China)
2021-2022
Flinders Medical Centre
2022
Yueyang Hospital
2022
Shanghai Jiao Tong University
2020-2021
Shandong Jiaotong University
2021
Télécom Paris
2020
Laboratoire Traitement et Communication de l’Information
2020
Soochow University
2019
Recently, deep learning with Convolutional Neural Networks (CNNs) and Transformers has shown encouraging results in fully supervised medical image segmentation. However, it is still challenging for them to achieve good performance limited annotations training. In this work, we present a very simple yet efficient framework semi-supervised segmentation by introducing the cross teaching between CNN Transformer. Specifically, simplify classical co-training from consistency regularization...
Abstract Background Decidual macrophages participate in immune regulation at the maternal–fetal interface. Abnormal M1/M2 polarization of decidual might predispose maladaptation recurrent pregnancy loss (RPL). However, mechanism macrophage is unclear. We explored role Estradiol (E 2 )-sensitive serum-glucocorticoid regulated kinase (SGK) 1 promoting and suppressing inflammation Methods assessed serum levels E progesterone during first trimester women with or without threatened miscarriages...
A pro-inflammatory cytokine profile at the feto-maternal interface may predispose immune maladaptation notably in early miscarriages.We investigated involvement of estradiol (E 2 )-activated serum-glucocorticoid regulated kinase 1 (SGK1) preserving tolerogenic and pro-survival intrauterine microenvironment beneficial to gestation maintenance.Decidual SGK1 was down-regulated miscarriage, consistent with lower serum E concentration seen pregnancy loss.Lipopolysaccharide (LPS)/Toll-like...
Abstract Introduction: Neoadjuvant chemotherapy (NAC) plays an important role in downgrading preoperative tumor size, providing information on regimen activity, and increases treatment efficacy breast cancer patients. An increasing number of patients have sought Traditional Chinese Medicine (TCM) during NAC to relieve discomfort, regulate immune function, improve survival. However, limited evidence is available how concurrent TCM combined with affects response. This study aims assess the...
Epidemiological studies have revealed that offspring conceived by in vitro fertilization (IVF) an elevated risk of cardiovascular malformations at birth, and are more predisposed to diseases. The renin-angiotensin system (RAS) plays essential role both the pathogenesis congenital heart disease fetuses dysfunction adults. This study aimed assess relative expression levels genes RAS pathway mice using IVF, compared natural mating with superovulation. Results demonstrated angiotensin II...
miRNAs play a critical role in the regulation of highly orchestrated gene expression profiles during spermatogenesis and early human embryonic development. However, there is much less information available on effects sperm-borne development than spermatogenesis. This study was designed to assess relationship between two (miR-34c miR-149) preimplantation embryo conventional vitro fertilization treatment. A positive correlation seen decreased level miR-149 higher percentage good-quality...
Abstract Our previous study revealed a higher incidence of gene dynamic mutation in newborns conceived by IVF, highlighting that IVF may be disruptive to the DNA stability offspring. However, underlying mechanisms remain unclear. The damage repair system plays an essential role and neurodegenerative disease. To evaluate long-term impact on genes, we established mouse model analyzed protein expression levels MSH2, MSH3, MSH6, MLH1, PMS2, OGG1, APEX1, XPA RPA1 also amount H2AX phosphorylation...
The impact of aging on reproductive outcomes has received considerable critical attention; however, there is much less information available the effects paternal age compared to maternal age. In this study, methylation levels sperm rDNA promoter regions and Long Interspersed Nucleotide Element 1 (LINE-1) were measured using pyrosequencing fertilization, day 3 good-quality embryo, pregnancies, implantation results assessed. We observed significantly increasing DNA in with based stratifying...
Context: Liuweibuqi (LWBQ) capsule has been reported to influence symptoms of patients with chronic obstructive pulmonary disease (COPD); however, specific function LWBQ capsules in COPD lung-qi deficiency syndrome remains elusive.Objective: This study investigates effect on STAT4/STAT6 and MMP-9/TIMP-1 expression stable syndrome.Materials methods: Totally, 429 diagnosed were treated starch (each time for 9 capsules), or different doses: low dose 8 1 medium 6 3 high capsules) 30 days, times...
Accelerated MRI reconstruction techniques aim to reduce examination time while maintaining high image fidelity, which is highly desirable in clinical settings for improving patient comfort and hospital efficiency. Existing deep learning methods typically reconstruct images from under-sampled data with traditional approaches, but they still struggle provide high-fidelity results. Diffusion models show great potential improve fidelity of generated recent years. However, their inference process...
Multimodal MR image synthesis aims to generate missing modality by fusing and mapping a few available MRI data. Most existing approaches typically adopt an image-to-image translation scheme. However, these methods often suffer from sub-optimal performance due the spatial misalignment between different modalities while they are treated as input channels. Therefore, in this paper, we propose Adaptive Group-wise Interaction Network (AGI-Net) that explores both inter-modality intra-modality...