A5102758432- Coronary Interventions and Diagnostics
- Image and Signal Denoising Methods
- Cardiac Imaging and Diagnostics
- Retinal Imaging and Analysis
- Generative Adversarial Networks and Image Synthesis
- Assisted Reproductive Technology and Twin Pregnancy
- Advanced Image Processing Techniques
- Reproductive Health and Technologies
- Image Enhancement Techniques
- Video Analysis and Summarization
- Image Processing Techniques and Applications
- Medical Image Segmentation Techniques
- Advanced Computing and Algorithms
- Advanced Graph Neural Networks
- Reproductive Biology and Fertility
- Multimedia Communication and Technology
- Family Dynamics and Relationships
- Video Coding and Compression Technologies
- Computer Graphics and Visualization Techniques
- Optical measurement and interference techniques
- Estrogen and related hormone effects
- Multimodal Machine Learning Applications
- Photoacoustic and Ultrasonic Imaging
- Laser Applications in Dentistry and Medicine
- Advanced Computational Techniques and Applications
Affiliated Hospital of Southwest Medical University
2021-2024
City University of Hong Kong
2024
Tencent (China)
2024
Southwest Medical University
2022
Ocean University of China
2021-2022
Video generation has increasingly gained interest in both academia and industry. Although commercial tools can generate plausible videos, there is a limited number of open-source models available for researchers engineers. In this work, we introduce two diffusion high-quality video generation, namely text-to-video (T2V) image-to-video (I2V) models. T2V synthesize based on given text input, while I2V incorporate an additional image input. Our proposed model realistic cinematic-quality videos...
This study aimed to examine the differences in anxiety and depression between infertile Chinese couples diverse stages of vitro fertilization-embryo transfer (IVF-ET) their relationship with IVF-ET outcomes.From February 2016 December 2018, a total 247 that were undergoing randomly selected for this study. On day they started treatment (T1), human chorionic gonadotropin was administered (T2), 4 days after embryo (T3), self-designed questionnaires, Self-Rating Anxiety Scale, Depression Scale...
Abstract Background Mesenchymal stem cells (MSCs) therapies are emerging as a promising approach to therapeutic regeneration. Therapeutic persistence and reduced functional following cell delivery remain critical hurdles for clinical investigation due the senescence of freshly isolated extensive in-vitro passage. Methods Cultured adipose-derived (ASCs) were derived from subcutaneous white adipose tissue mice fed normal diet. We performed senescence-associated-β-galactosidase (SA-β-gal)...
The vision and language generative models have been overgrown in recent years. For video generation, various open-sourced public-available services are released for generating high-visual quality videos. However, these methods often use a few academic metrics, example, FVD or IS, to evaluate the performance. We argue that it is hard judge large conditional from simple metrics since trained on very datasets with multi-aspect abilities. Thus, we propose new framework pipeline exhaustively...
Video restoration task aims to recover high-quality videos from low-quality observations. This contains various important sub-tasks, such as video denoising, deblurring and low-light enhancement, since often faces different types of degradation, blur, low light, noise. Even worse, these kinds degradation could happen simultaneously when taking in extreme environments. poses significant challenges if one wants remove artifacts at the same time. In this paper, best our knowledge, we are first...
Most existing super-resolution methods and datasets have been developed to improve the image quality in well-lighted conditions. However, these do not work well real-world low-light conditions as images captured such lose most important information contain significant unknown noises. To solve this problem, we propose a SRRIIE dataset with an efficient conditional diffusion probabilistic models-based method. The proposed contains 4800 paired low-high images. ensure that are able model...
Diffusion models have revolutionized image generation, and their extension to video generation has shown promise. However, current diffusion models~(VDMs) rely on a scalar timestep variable applied at the clip level, which limits ability model complex temporal dependencies needed for various tasks like image-to-video generation. To address this limitation, we propose frame-aware model~(FVDM), introduces novel vectorized variable~(VTV). Unlike conventional VDMs, our approach allows each frame...
Coronary angiography is the “gold standard” for diagnosis of coronary heart disease, which vessel segmentation and identification technologies are paid much attention to. However, because characteristics angiograms, such as complex variable morphology artery structure noise caused by various factors, there many difficulties in these studies. To conquer problems, we design a preprocessing scheme including block-matching 3D filtering, unsharp masking, contrast-limited adaptive histogram...
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Point clouds or depth images captured by current RGB-D cameras often suffer from low resolution, rendering them insufficient for applications such as 3D reconstruction and robots. Existing point cloud super-resolution (PCSR) methods are either constrained geometric artifacts lack attention to edge details. To address these issues, we propose an edge-guided geometric-preserving (EGP3D) method tailored cameras. Our approach innovatively optimizes the with constraint on a projected 2D space,...
Abstract Purpose: The aim of study is to assess the associations between number day 2 4-cell embryos (D2-4C) and subsequent ability available blastocysts pregnancy outcomes in natural cycle IVF.. Methods: This was a retrospective cohort for couples with infertility treatment October 2017 December 2020. D2-4C recorded during 948 blastocyst culture cycles study. Additionally, were analyzed regard their live birth rate 685 double cleavage embryo transfer 145 single transfer. Results: Our...
Coronary angiography is the "gold standard" for diagnosing coronary artery disease (CAD). At present, methods detecting and evaluating stenosis cannot satisfy clinical needs, e.g., there no prior study of stenoses in prespecified vessel segments, which necessary practice. Two vascular detection are proposed to assist diagnosis. The first one an automatic method, can automatically extract entire tree mark all possible stenoses. second interactive method. With this user choose any segment do...
Coronary angiography is the "gold standard" for diagnosing coronary artery disease (CAD). At present, methods detecting and evaluating stenosis cannot satisfy clinical needs, e.g., there no prior study of stenoses in prespecified vessel segments, which necessary practice. Two vascular detection are proposed to assist diagnosis. The first one an automatic method, can automatically extract entire tree mark all possible stenoses. second interactive method. With this user choose any segment do...