1. Chinese Academy of Sciences

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    1. Mentioned In 95 Articles

    2. Weakly supervised anomaly segmentation in retinal OCT images using an adversarial learning approach

      Weakly supervised anomaly segmentation in retinal OCT images using an adversarial learning approach
      Lesion detection is a critical component of disease diagnosis, but the manual segmentation of lesions in medical images is time-consuming and experience-demanding. These issues have recently been addressed through deep learning models. However, most of the existing algorithms were developed using supervised training, which requires time-intensive manual labeling and prevents the model from detecting unaware lesions. As such, this study proposes a weakly supervised learning network based on CycleGAN for ...
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    3. Plasma Pentraxin-3 Combined with Plaque Characteristics Predict Cardiovascular Risk in ST-Segment Elevated Myocardial Infarction: An Optical Coherence Tomography Study

      Plasma Pentraxin-3 Combined with Plaque Characteristics Predict Cardiovascular Risk in ST-Segment Elevated Myocardial Infarction: An Optical Coherence Tomography Study
      Background: Culprit‑plaque morphology [plaque rupture (PR) and plaque erosion (PE) identified by optical coherence tomography (OCT)] and biomarker of vascular inflammation, pentraxin-3 (PTX3), have been reported to influence clinical outcomes in coronary diseases. We aimed to investigate the prognostic implication of culprit-plaque morphology and plasma PTX3 for major adverse cardiovascular events (MACE) in patients with ST-segment elevation myocardial infarction (STEMI). Methods: A total of 236 patients were enrolled and ...
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    4. A novel 3D printed hollow microneedle microelectromechanical system for controlled, personalized transdermal drug delivery

      A novel 3D printed hollow microneedle microelectromechanical system for controlled, personalized transdermal drug delivery
      The advancement of drug delivery devices is critical for the individualization of patient treatment and the improvement of healthcare. Here, we introduce the 3DMNMEMS, a novel device that combines 3D printing, microneedles (MNs) and Microelectromechanical Systems (MEMS), allowing versatile and controllable by the user transdermal drug delivery. Hollow MNs were designed and 3D printed using Stereolithography, followed by integrating into a MEMS. By employing advanced imaging techniques, we monitored the ...
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    5. Investigation of the Pathophysiology of the Retina and Choroid in Parkinson's Disease by Optical Coherence Tomography

      Investigation of the Pathophysiology of the Retina and Choroid in Parkinson's Disease by Optical Coherence Tomography
      Purpose The pathology of Parkinson's disease (PD) is suspected to affect the retina and choroid. We investigated changes in the retina and choroid of patients with PD using optical coherence tomography (OCT). Methods We examined 14 patients with PD and 22 patients without PD. Patients without PD had no ophthalmic pathology other than cataracts and neurodegenerative disorders. The retinal nerve fiber layer, ganglion cell layer + inner plexiform layer, and ...
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    6. Impact of residual thrombus burden on ventricular deformation after acute myocardial infarction: A sub-analysis from an intravascular optical coherence tomography study

      Impact of residual thrombus burden on ventricular deformation after acute myocardial infarction: A sub-analysis from an intravascular optical coherence tomography study
      Background Coronary residual thrombus before stenting in ST-segment elevation myocardial infarction (STEMI) has been linked to microvascular injury but its impact on ventricular deformation and cardiac dysfunction in longer term remains unclear. Methods This was a post-hoc sub-analysis from an optical coherence tomography registry. Residual thrombus before stenting was measured geometrically and maximal thrombus-to-lumen area ratio (MTR) was reported. Cardiovascular magnetic resonance (CMR) follow-ups were performed at 30 days post ...
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    7. Residual SYNTAX Score in Relation to Coronary Culprit Plaque Characteristics and Cardiovascular Risk in ST Segment Elevation Myocardial Infarction: an Intravascular Optical Coherence Tomography Study

      Residual SYNTAX Score in Relation to Coronary Culprit Plaque Characteristics and Cardiovascular Risk in ST Segment Elevation Myocardial Infarction: an Intravascular Optical Coherence Tomography Study
      This study aimed to investigate the association of high-risk culprit plaque features by optical coherence tomography (OCT) with residual SYNTAX score (rSS) and the predictive value of rSS for major adverse cardiac events (MACE) in patients with ST segment elevation myocardial infarction (STEMI). We included 274 patients and divided them into 3 groups - rSS=0 (n=72), 0rSS8 (n=134), and rSS8 (n=68). There were significant differences in plaque ...
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    8. An Optical Coherence Tomography-Based Deep Learning Algorithm for Visual Acuity Prediction of Highly Myopic Eyes After Cataract Surger

      An Optical Coherence Tomography-Based Deep Learning Algorithm for Visual Acuity Prediction of Highly Myopic Eyes After Cataract Surger
      Background: Due to complicated and variable fundus status of highly myopic eyes, their visual benefit from cataract surgery remains hard to be determined preoperatively. We therefore aimed to develop an optical coherence tomography (OCT)-based deep learning algorithms to predict the postoperative visual acuity of highly myopic eyes after cataract surgery. Materials and Methods: The internal dataset consisted of 1,415 highly myopic eyes having cataract surgeries in our hospital ...
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    9. Decrease of choriocapillary vascular density measured by optical coherence tomography angiography in Vogt-Koyanagi-Harada disease

      Decrease of choriocapillary vascular density measured by optical coherence tomography angiography in Vogt-Koyanagi-Harada disease
      Purpose Changes of choroidal circulation throughout the disease course of Vogt-Koyanagi-Harada (VKH) disease and the clinical significance remain unclear. Choriocapillary vascular density (CC VD) measured by optical coherence tomography angiography (OCTA) were compared in different disease stages of VKH and its correlation with other parameters was analyzed, aiming to explore their clinical relevance. Methods This is a retrospective case series. One hundred and fourteen VKH patients and 47 normal controls ...
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    10. Triglyceride glucose index combined with plaque characteristics as a novel biomarker for cardiovascular outcomes after percutaneous coronary intervention in ST-elevated myocardial infarction patients: an intravascular optical coherence tomography study

      Triglyceride glucose index combined with plaque characteristics as a novel biomarker for cardiovascular outcomes after percutaneous coronary intervention in ST-elevated myocardial infarction patients: an intravascular optical coherence tomography study
      Abstract Background and aim This prospective study explored plaque morphology according to the underlying culprit lesion pathology (rupture versus erosion) in relation to the triglyceride glucose (TyG) index in patients with acute ST-elevated myocardial infarction (STEMI) who underwent primary percutaneous coronary intervention and optical coherence tomography (OCT) for culprit lesions to elucidate the effects of the TyG index and type of plaque on the incidence of major adverse cardiovascular events ...
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    11. Automatic Anterior Chamber Angle Classification Using Deep Learning System and Anterior Segment Optical Coherence Tomography Images

      Automatic Anterior Chamber Angle Classification Using Deep Learning System and Anterior Segment Optical Coherence Tomography Images
      Purpose: The purpose of this study was to develop a software package for the automatic classification of anterior chamber angle using anterior segment optical coherence tomography (AS-OCT). Methods: AS-OCT images were collected from subjects with open, narrow, and closure anterior chamber angles, which were graded based on ultrasound biomicroscopy (UBM) results. The Inception version 3 network and the transfer learning technique were applied in the design of an algorithm for ...
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    12. Optical coherence tomography-based short-term effect prediction of anti-vascular endothelial growth factor treatment in neovascular age-related macular degeneration using sensitive structure guided network

      Optical coherence tomography-based short-term effect prediction of anti-vascular endothelial growth factor treatment in neovascular age-related macular degeneration using sensitive structure guided network
      Purpose: To predict short-term anti-vascular endothelial growth factor (anti-VEGF) treatment responder/non-responder for neovascular age-related macular degeneration (nAMD) patients based on optical coherence tomography (OCT) images. Methods: A total of 4944 OCT scans from 206 patients with nAMD were involved to develop and evaluate a responder/non-responder prediction method for the short-term effect of anti-VEGF therapy. A deep learning architecture named sensitive structure guided network (SSG-Net) was proposed to make ...
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    13. Comparison of the retinal vascular network and structure in patients with optic neuritis associated with myelin oligodendrocyte glycoprotein or aquaporin-4 antibodies: an optical coherence tomography angiography study

      Comparison of the retinal vascular network and structure in patients with optic neuritis associated with myelin oligodendrocyte glycoprotein or aquaporin-4 antibodies: an optical coherence tomography angiography study
      Objective: To compare the retinal vascular network and structure of optic neuritis associated with myelin oligodendrocyte glycoprotein antibodies (MOG-ON) or aquaporin-4 antibodies (AQP4-ON). Methods: Nineteen patients with MOG-ON (29 eyes), 24 patients with AQP4-ON (43 eyes), and 25 healthy participants (50 eyes) were enrolled. The best-corrected visual acuity (BCVA), mean deviation (MD), retinal nerve fiber layer (RNFL) thickness, parafoveal ganglion cell and inner plexiform layer (GCIPL) thickness, and vessel densities ...
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    14. Ultra-wide field swept-source optical coherence tomography angiography in patients with diabetes without clinically detectable retinopathy

      Ultra-wide field swept-source optical coherence tomography angiography in patients with diabetes without clinically detectable retinopathy
      Background: To investigate alterations in retinal microvasculature in eyes with preclinical diabetic retinopathy (DR) using ultra-wide field swept-source optical coherence tomography angiography (UWF SS OCTA). Methods: Prospective cross-sectional study. Fifty-five eyes of 30 diabetic patients without clinical retinal signs were included. All subjects underwent OCTA examination with a 12 12 mm 2 field of view of 5 visual fixations (1 central fixation and 4 peripheral fixations) to compose a UWF ...
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    15. Tissue self-attention network for the segmentation of optical coherence tomography images on the esophagus

      Tissue self-attention network for the segmentation of optical coherence tomography images on the esophagus
      x Automatic segmentation of layered tissue is the key to esophageal optical coherence tomography (OCT) image processing. With the advent of deep learning techniques, frameworks based on a fully convolutional network are proved to be effective in classifying pixels on images. However, due to speckle noise and unfavorable imaging conditions, the esophageal tissue relevant to the diagnosis is not always easy to identify. An effective approach to address this problem ...
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    16. Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images

      Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images
      Retinal layers segmentation in optical coherence tomography (OCT) images is a critical step in the diagnosis of numerous ocular diseases. Automatic layers segmentation requires separating each individual layer instance with accurate boundary detection, but remains a challenging task since it suffers from speckle noise, intensity inhomogeneity, and the low contrast around boundary. In this work, we proposed a boundary aware U-Net (BAU-Net) for retinal layers segmentation by detecting accurate boundary ...
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  2. About Chinese Academy of Sciences

    Chinese Academy of Sciences

    Chinese Academy of Sciences (CAS) is a leading academic institution and comprehensive research and development center in natural science, technological science and high-tech innovation in China. It was founded in Beijing on 1st November 1949 on the basis of the former Academia Sinica (Central Academy of Sciences) and Peiping Academy of Sciences.