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  • Open Access

    CASE REPORT

    Fate of Right Coronary Artery Occlusion after a Surgically Repaired Aorto-Ventricular Tunnel in a Neonate

    Sherif Negm1,2, Loic Mace1, Fedoua El Louali3, Beatrice Desnous4, Philipe Aldebert3, Virginie Fouilloux1, Marien Lenoir1,*

    Congenital Heart Disease, Vol.19, No.3, pp. 267-273, 2024, DOI:10.32604/chd.2024.051642 - 26 July 2024

    Abstract The aorto-ventricular tunnel is a rare congenital cardiac anomaly. We present a case of aorto-ventricular tunnel diagnosed via fetal echocardiography. Emergency surgery was performed on the 2nd day of life to close the tunnel, located just in front of the right coronary ostium, due to the patient’s unstable health condition. The postoperative period revealed complete occlusion of the right coronary artery. Due to the patient’s stability, we opted not to reintervene on the right coronary artery. The patient fully recovered without the need for further coronary intervention. In cases of patients with an aorto-ventricular tunnel More >

  • Open Access

    ARTICLE

    3D Model Occlusion Culling Optimization Method Based on WebGPU Computing Pipeline

    Liming Ye1,2, Gang Liu1,2,3,4,*, Genshen Chen1,2, Kang Li1,2, Qiyu Chen1,2,3, Wenyao Fan1,2, Junjie Zhang1,2

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2529-2545, 2023, DOI:10.32604/csse.2023.041488 - 28 July 2023

    Abstract Nowadays, Web browsers have become an important carrier of 3D model visualization because of their convenience and portability. During the process of large-scale 3D model visualization based on Web scenes with the problems of slow rendering speed and low FPS (Frames Per Second), occlusion culling, as an important method for rendering optimization, can remove most of the occluded objects and improve rendering efficiency. The traditional occlusion culling algorithm (TOCA) is calculated by traversing all objects in the scene, which involves a large amount of repeated calculation and time consumption. To advance the rendering process and… More >

  • Open Access

    ARTICLE

    FSA-Net: A Cost-efficient Face Swapping Attention Network with Occlusion-Aware Normalization

    Zhipeng Bin1, Huihuang Zhao1,2,*, Xiaoman Liang1,2, Wenli Chen1

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 971-983, 2023, DOI:10.32604/iasc.2023.037270 - 29 April 2023

    Abstract The main challenges in face swapping are the preservation and adaptive superimposition of attributes of two images. In this study, the Face Swapping Attention Network (FSA-Net) is proposed to generate photorealistic face swapping. The existing face-swapping methods ignore the blending attributes or mismatch the facial keypoint (cheek, mouth, eye, nose, etc.), which causes artifacts and makes the generated face silhouette non-realistic. To address this problem, a novel reinforced multi-aware attention module, referred to as RMAA, is proposed for handling facial fusion and expression occlusion flaws. The framework includes two stages. In the first stage, a More >

  • Open Access

    ARTICLE

    Depth Map Prediction of Occluded Objects Using Structure Tensor with Gain Regularization

    H. Shalma, P. Selvaraj*

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1145-1161, 2023, DOI:10.32604/iasc.2023.036853 - 29 April 2023

    Abstract The creation of the 3D rendering model involves the prediction of an accurate depth map for the input images. A proposed approach of a modified semi-global block matching algorithm with variable window size and the gradient assessment of objects predicts the depth map. 3D modeling and view synthesis algorithms could effectively handle the obtained disparity maps. This work uses the consistency check method to find an accurate depth map for identifying occluded pixels. The prediction of the disparity map by semi-global block matching has used the benchmark dataset of Middlebury stereo for evaluation. The improved… More >

  • Open Access

    ARTICLE

    Tracking Pedestrians Under Occlusion in Parking Space

    Zhengshu Zhou1,*, Shunya Yamada2, Yousuke Watanabe2, Hiroaki Takada1,2

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2109-2127, 2023, DOI:10.32604/csse.2023.029005 - 01 August 2022

    Abstract Many traffic accidents occur in parking lots. One of the serious safety risks is vehicle-pedestrian conflict. Moreover, with the increasing development of automatic driving and parking technology, parking safety has received significant attention from vehicle safety analysts. However, pedestrian protection in parking lots still faces many challenges. For example, the physical structure of a parking lot may be complex, and dead corners would occur when the vehicle density is high. These lead to pedestrians’ sudden appearance in the vehicle’s path from an unexpected position, resulting in collision accidents in the parking lot. We advocate that… More >

  • Open Access

    ARTICLE

    Emotion Recognition from Occluded Facial Images Using Deep Ensemble Model

    Zia Ullah1, Muhammad Ismail Mohmand1, Sadaqat ur Rehman2,*, Muhammad Zubair3, Maha Driss4, Wadii Boulila5, Rayan Sheikh2, Ibrahim Alwawi6

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4465-4487, 2022, DOI:10.32604/cmc.2022.029101 - 28 July 2022

    Abstract Facial expression recognition has been a hot topic for decades, but high intraclass variation makes it challenging. To overcome intraclass variation for visual recognition, we introduce a novel fusion methodology, in which the proposed model first extract features followed by feature fusion. Specifically, RestNet-50, VGG-19, and Inception-V3 is used to ensure feature learning followed by feature fusion. Finally, the three feature extraction models are utilized using Ensemble Learning techniques for final expression classification. The representation learnt by the proposed methodology is robust to occlusions and pose variations and offers promising accuracy. To evaluate the efficiency More >

  • Open Access

    ARTICLE

    Efficacy, Safety and Characteristics of the Amplatzer Vascular Plug II and IV Utilization for Various Percutaneous Occlusions in Children under 10 Years

    Hugues Lucron1,*, Alban-Elouen Baruteau2,3, Caroline Ovaert4, Ali Houeijeh5, Mélanie Brard1, Patrice Guerin2, François Bourlon6, Claire Dauphin7, Saskia Tuttle1, Maha Tagorti3, Rishika Banydeen8, François Godart5

    Congenital Heart Disease, Vol.17, No.4, pp. 421-436, 2022, DOI:10.32604/chd.2022.020835 - 04 July 2022

    Abstract Objectives: We aim to describe the efficacy, safety, and characteristics of the Amplatzer Vascular Plug (AVP) II and IV “off-label” use for multiple cardiovascular occlusions in children under 10 years. Methods: Observational retrospective multicenter (2007–2020, 6 centers) review of paediatric procedures using AVP II or IV. Results: A total of 125 children (49.6% aged ≤ 1 year, 147 lesions) underwent 136 successive procedures (success rate: 98.5%) using 169 devices (109 AVP IV, 60 AVP II). The mean device diameter was 7.7 ± 3.2 mm (4–20 mm). The median AVP size to vessel diameter ratio was 1.3 (0–2). The median… More > Graphic Abstract

    Efficacy, Safety and Characteristics of the Amplatzer Vascular Plug II and IV Utilization for Various Percutaneous Occlusions in Children under 10 Years

  • Open Access

    ARTICLE

    Efficient Medical Image Encryption Framework against Occlusion Attack

    May A. Al-Otaibi1,*, Hesham Alhumyani1, Saleh Ibrahim2, Alaa M. Abbas2

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1523-1536, 2022, DOI:10.32604/iasc.2022.026161 - 25 May 2022

    Abstract Image encryption has attracted a lot of interest as an important security application for protecting confidential image data against unauthorized access. An adversary with the power to manipulate cipher image data can crop part of the image out to prevent decryption or render the decrypted image useless. This is known as the occlusion attack. In this paper, we address a vulnerability to the occlusion attack identified in the medical image encryption framework recently proposed in []. We propose adding a pixel scrambling phase to the framework and show through simulation that the extended framework effectively More >

  • Open Access

    ARTICLE

    Multiple Faces Tracking Using Feature Fusion and Neural Network in Video

    Boxia Hu1,2,*, Huihuang Zhao1, Yufei Yang1,3, Bo Zhou4, Alex Noel Joseph Raj5

    Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1549-1560, 2020, DOI:10.32604/iasc.2020.011721 - 24 December 2020

    Abstract Face tracking is one of the most challenging research topics in computer vision. This paper proposes a framework to track multiple faces in video sequences automatically and presents an improved method based on feature fusion and neural network for multiple faces tracking in a video. The proposed method mainly includes three steps. At first, it is face detection, where an existing method is used to detect the faces in the first frame. Second, faces tracking with feature fusion. Given a video that has multiple faces, at first, all faces in the first frame are detected… More >

  • Open Access

    CASE REPORT

    Percutaneous Occlusion of Right Partial Anomalous Pulmonary Venous Connection with Dual Drainage to the Innominate Vein and the Left Atrium: A Unique Anatomical Finding

    Alejandro R. Peirone1,*, Alejandro E. Contreras2, Carolina Carrizo2, Mailén Konicoff2, Raúl O. Cayre3

    Congenital Heart Disease, Vol.15, No.4, pp. 267-274, 2020, DOI:10.32604/CHD.2020.013199 - 07 September 2020

    Abstract A 43-year-old woman with a past medical history of aortic coarctation surgically repaired at the age of 3 years using an end-to-end anastomosis, presented with 2 years complain of increasing dyspnea and fatigue with exercise associated to frequent palpitations. During extensive work-up, she was found to have a partial anomalous pulmonary venous connection (PAPVC) with “dual drainage” represented by a communication between the right pulmonary veins draining into the left atrium and the innominate vein via an anomalous vein due to a persistence of early connections between the sinus of the right pulmonary veins and More >

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