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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Zhang, Fayi Li, Jiawen Huang, Yunqiang Chen, Man Zheng, Rui Shanghai Jiao Tong University School of Medicine Tongren Hospital Shanghai China ShanghaiTech University School of Information Science and Technology Shanghai China Shanghai Engineering Research Center of Intelligent Vision and Imaging Shanghai China

ISBN: (纸本)9798350346459

Ultrasound (US) imaging is widely used to diagnose carotid atherosclerosis (CA) caused by carotid plaque since it is non-invasive and economic. Current automatic plaque segmentation method based on deep learning shows high accuracy on common carotid artery but poor performance at the bifurcation of carotid artery. This study proposes an interactive segmentation algorithm that accurately segments carotid plaque at the bifurcation using limited user interaction. The algorithm utilizes a 3D ultrasound imaging system and a 3D U-net segmentation network to obtain masks of media-adventitia boundary (MAB) and lumen-intima boundary (LIB). The results demonstrate improved accuracy over conventional automatic segmentation methods with DSC /HD95 values of 0.952/0.964 for MAB and 0.937/1.068 for LIB, respectively. The proposed algorithm shows potential of clinical implications for the diagnosis of carotid atherosclerosis at bifurcation. © 2023 IEEE.

关键词： Ultrasonic imaging

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A new 2-class unilateral upper limb motor imagery tasks for stroke rehabilitation training

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Medicine in Novel technology and Devices 2022年第1期13卷 65-70页

作者： Banghua Yang Jun Ma Wenzheng Qiu Yan Zhu Xia Meng School of Mechatronic Engineering and Automation School of MedicineResearch Center of Brain Computer EngineeringShanghai UniversityShanghai200444China Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation Ministry of EducationShanghai201203China Shanghai Intelligent Engineering Technology Research Center for Addiction and rehabilitation Shanghai201901China The Second Rehabilitation Hospital of Shanghai Shanghai200441China China National Clinical Research Center for Neurological Diseases Beijing100070China

The rehabilitation training based on motor imagery brain-computer interface(MI-BCI)is considered to be an effective *** designed a new 2-class unilateral upper limb motor imagery *** from 15 healthy subjects and 10 stoke patients are collected in the *** results of event-related desynchronization/synchronization(ERD/ERS)and power spectral density(PSD)analysis showed the significant different features on health subjects and stroke *** improved 2-Conv-FBCNET is used to classify Electroencephalogram(EEG)signals and the accuracy is(health:61.0%,stroke:59.4%).The new two types of tasks provide a new training method for MI-BCI rehabilitation training system.

关键词： Stroke rehabilitation training Unilateral upper limb Motor imagery-brain computer interface(MIBCI)

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intelligent diagnosis of atrial septal defect in children using echocardiography with deep learning

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虚拟现实与智能硬件（中英文） 2024年第3期6卷 217-225页

作者： Yiman LIU Size HOU Xiaoxiang HAN Tongtong LIANG Menghan HU Xin WANG Wei GU Yuqi ZHANG Qingli LI Jiangang CHEN Shanghai Key Laboratory of Multidimensional Information Processing School of Communication&Electronic EngineeringEast China Normal UniversityShanghaiChina Department of Pediatric Cardiology Shanghai Children's Medical CenterSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Department of Applied Mathematics Xi'an Jiaotong-Liverpool UniversitySchool of ScienceSuzhouChina School of Health Sciences and Engineering University of Shanghai for Science and TechnologyShanghaiChina Minhang District Centers for Disease Control and Prevention ShanghaiChina Faculty of Traditional Chinese Medicine Naval Medical UniversityShanghaiChina Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation Ministry of EducationShanghai 201203China

Background Atrial septal defect(ASD)is one of the most common congenital heart *** diagnosis of ASD via transthoracic echocardiography is subjective and *** The objective of this study was to evaluate the feasibility and accuracy of automatic detection of ASD in children based on color Doppler echocardiographic static images using end-to-end convolutional neural *** proposed depthwise separable convolution model identifies ASDs with static color Doppler images in a standard *** the standard views,we selected two echocardiographic views,i.e.,the subcostal sagittal view of the atrium septum and the low parasternal four-chamber *** developed ASD detection system was validated using a training set consisting of 396 echocardiographic images corresponding to 198 ***,an independent test dataset of 112 images corresponding to 56 cases was used,including 101 cases with ASDs and 153 cases with normal *** The average area under the receiver operating characteristic curve,recall,precision,specificity,F1-score,and accuracy of the proposed ASD detection model were 91.99,80.00,82.22,87.50,79.57,and 83.04,*** The proposed model can accurately and automatically identify ASD,providing a strong foundation for the intelligent diagnosis of congenital heart diseases.

关键词： Deep learning Atrial septal defect Echocardiography

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research on Lightweight Intervertebral Disc Segmentation Method for Spine Magnetic Resonance Images 4

Research on Lightweight Intervertebral Disc Segmentation Met...

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4th International Conference on robotics, intelligent Control and Artificial Intelligence, RICAI 2022

作者： Li, Xianda Li, Qi Wen, James Zhiqing Luo, Huiyuan He, Siyuan School of Computer Science and Technology Changchun University of Science and Technology Jilin130022 China Intelligent Robot Engineering Research Center Ji Hua Laboratory Guangdong528437 China Intelligent Robot Engineering Research Center Ji Hua Laboratory Foshan Guangdong528200 China

ISBN: (纸本)9781450398343

To address the problem of conflicting segmentation accuracy and model parametric numbers in many lumbar MR image disc segmentation methods, we propose a lightweight segmentation pipeline named Lite-snake for lumbar MR image disc instances. We use Nanodet as a lightweight target detection model, a parallel feature aggregation module to aggregate multi-scale features, and a depth-separable cyclic convolution to reconstruct deep snake. The method achieves an IoU of 79.49% and a DSC of 88.50% on the test set of lumbar MR images with only 5,670,000 parameters. The experimental results show that compared to many current deep-learning image segmentation methods, our method dramatically reduces the number of parameters of the model while ensuring segmentation accuracy. Therefore it is easy to deploy to lightweight mobile devices and has good application prospects. © 2022 ACM.

关键词： Magnetic resonance

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Laser Marking Micro ID for Wafer Identification 17

Laser Marking Micro ID for Wafer Identification

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17th National Conference on Laser technology and Optoelectronics

作者： Lingling, Zhang Tianjiao, Shu Guoqi, Li Yuanchao, Du Yuan, Chen Jie, Zhang Shanghai Institute of Laser Technology Shanghai200233 China Shanghai Laser DPM Traceability Engineering Research Center Shanghai200233 China Shanghai Engineering Research Center of Laser Intelligent Manufacturing Shanghai200233 China

ISBN: (纸本)9781510661097

In this paper, in order to identify and trace the single silicon wafer, the robustness of wafer identification using micro ID on polished silicon wafers is investigated. A dot-matrix encoding scheme for forming reliable, machine-readable identifying codes on the wafer is used. The quality of dot concerning marking depth, the dot size, robustness of code detection by automatic vision inspection is investigated. The topography and the depth, the dot size are evaluated with VHX6000 microscope and Bruker Contour GT 3D Surface Profiler. Codes either alphanumeric characters or data matrix codes with different the topography and the depth are detected by the In-Sight 1741 image Code Reader. Dot diameter ranges from 15.4 to 70um and dot depth ranging from 0.287um to 3.797 um are achieved. The minimum readable Data Matrix codes is 2.33*0.53mm,the average read rates of 100% are already achieved with the Data Matrix codes With 3.88*0.65mm. © 2022 SPIE.

关键词： Silicon wafers

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An Adaptive Golden Jackal Optimization Algorithm for Mobile robotic Path Planning

An Adaptive Golden Jackal Optimization Algorithm for Mobile ...

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2024 International Conference on Mechatronics and intelligent Control, ICMIC 2024

作者： Chen, Siwen Zheng, Xiujuan Shanghai United Imaging Healthcare Co. Ltd. Shanghai China Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Given the shortcomings of the traditional Golden Jackal Optimization (GJO) algorithm, including limited accuracy and slow convergence speed in solving mobile robot path planning problems, an improved adaptive Golden Jackal Optimization (IAGJO) method is proposed. Firstly, a nonlinear adaptive energy strategy is presented to adjust the energy decay pattern, balancing global and local search. Secondly, an enhanced position update mechanism based on Cauchy and Gaussian mutation increases population diversity and guide the search based on optimal individuals, thereby facilitating efficient exploration of unknown regions and avoiding local optima. Finally, the IAGJO algorithm is applied to mobile robot path planning (MRPP), demonstrating that the IAGJO achieves shorter path lengths and higher search efficiency, exhibiting significant advantages over existing methods. © 2025 SPIE.

关键词： Optimization algorithms

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research of Glass Marking Process Based on the 532nm Wavelength laser 17

Research of Glass Marking Process Based on the 532nm Wavelen...

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17th National Conference on Laser technology and Optoelectronics

作者： Yuanchao, Du Yuan, Chen Lingling, Zhang Shanghai Institute of Laser Technology Shanghai200233 China Shanghai Laser DPM Traceability Engineering Research Center Shanghai200233 China Shanghai Engineering Research Center of Laser Intelligent Manufacturing Shanghai200233 China

ISBN: (纸本)9781510661097

High borosilicate glass has the advantages of high light transmittance, good mechanical performance, chemical stability and thermal stability. It is widely used in daily use, chemistry, architecture, electronics, instruments and other fields. There is a large number of identification requirements in the application. In this paper, based on the 532nm wavelength laser, the marking process of high borosilicate glass is studied. The influence rule and mechanism of duty ratio, repetition frequency, marking speed and defocus amount on the marking effect are explored by single factor control variable method. The research results show that the four process parameters have an important impact on the integrity of the identification profile. Through the optimization of the process parameters, the process window of 532nm wavelength laser identification of high borosilicate glass is obtained, which realizes the good identification effect of the identification morphology and provides a reference for the green light identification of high borosilicate glass. © 2022 SPIE.

关键词： Borosilicate glass

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Evaluating the quantum confinement effects modulating exciton and electronic band structures of two-dimensional layered MoSSe films and their photodetection potentials

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Science China Materials 2024年第10期67卷 3087-3095页

作者： Yifan Ding Xudan Zhu Hongyu Tang Weiming Liu Shuwen Shen Jiajie Fan Yi Luo Yuxiang Zheng Chunxiao Cong Siyuan Luo Rongjun Zhang Department of Optical Science and Engineering Key Laboratory of Micro and Nano Photonic Structures(MOE)Shanghai Engineering Research Center of Ultra-Precision Optical ManufacturingFudan UniversityShanghai 200433China Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Proception Institute of OptoelectronicsFudan UniversityShanghai 200433China Academy for Engineering and Technology Fudan UniversityShanghai 200433China School of Information Science and Engineering Fudan UniversityShanghai 200433China Microsystem and Terahertz Research Center Chengdu 610200China Shanghai Institute of Intelligent Electronics&Systems Shanghai 200433China

Emerging two-dimensional ternary transition metal dichalcogenide alloys have attracted much attention for their unique optical and optoelectronic properties,making them ideal candidates for optoelectronic ***,a comprehensive understanding of their quantum confinement effects and photoelectronic response characteristics remains crucial for device optimization and performance *** this study,we employed various spectroscopic techniques to investigate the optical properties and electronic band structures of molybdenum sulfide selenide(MoSSe)films with different layer numbers(4–11 layers).Our results revealed the splitting of Raman modes and shifting of phonon vibrational frequencies with increasing thickness,suggesting that MoSSe has strong interactions within the *** A1g and E2g 1 modes were mainly shifted by internal strain and dielectric screening effect versus thickness,*** redshift phenomenon of A and B excitons with increasing thickness was attributed to the leading effect of quantum confinement on exciton properties and optical band *** observed a strong decrease in the direct bandgap spectral weight in photoluminescence(PL)when the layer number increased from 4 to *** addition,we have fabricated MoSSe photodetectors that exhibit a broadband response in the visible wavelength band of 350–800 ***,the observed enhancement in photocurrent and responsivity with increasing film thickness underscored the potential of MoSSebased devices for practical optoelectronic *** research contributes to advancing our fundamental understanding of MoSSe materials and paves the way for the design and development of high-performance optoelectronic devices.

关键词： MoSSe alloy quantum confinement effects exciton electronic band structure photodetection

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Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction

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IEEE Transactions on Medical Imaging 2025年第6期44卷 2504-2514页

作者： Ma, Chenglong Li, Zilong Li, Yuanlin Han, Jing Zhang, Junping Zhang, Yi Liu, Jiannan Shan, Hongming Fudan University Institute of Science and Technology for Brain-inspired Intelligence Moe Frontiers Center for Brain Science Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Shanghai200433 China Fudan University Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Shanghai200433 China Shanghai Ninth People's Hospital Department of Oral Maxillofacial Head and Neck Oncology China Shanghai Jiao Tong University School of Medicine College of Stomatology China Shanghai Key Laboratory of Stomatology Shanghai Research Institute of Stomatology National Center for Stomatology National Clinical Research Center for Oral Diseases Shanghai200011 China Sichuan University School of Cyber Science and Engineering Chengdu Sichuan610065 China

Metal artifacts in computed tomography (CT) images can significantly degrade image quality and impede accurate diagnosis. Supervised metal artifact reduction (MAR) methods, trained using simulated datasets, often struggle to perform well on real clinical CT images due to a substantial domain gap. Although state-of-the-art semi-supervised methods use pseudo ground-truths generated by a prior network to mitigate this issue, their reliance on a fixed prior limits both the quality and quantity of these pseudo ground-truths, introducing confirmation bias and reducing clinical applicability. To address these limitations, we propose a novel radiologist-in-the-loop self-training framework for MAR, termed RISE-MAR, which can integrate radiologists' feedback into the semi-supervised learning process, progressively improving the quality and quantity of pseudo ground-truths for enhanced generalization on real clinical CT images. For quality assurance, we introduce a clinical quality assessor model that emulates radiologist evaluations, effectively selecting high-quality pseudo ground-truths for semi-supervised training. For quantity assurance, our self-training framework iteratively generates additional high-quality pseudo groundtruths, expanding the clinical dataset and further improving model generalization. Extensive experimental results on multiple clinical datasets demonstrate the superior generalization performance of our RISE-MAR over state-of-the-art methods, advancing the development of MAR models for practical application. © 2025 IEEE.

关键词： Computerized tomography

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Design Knowledge Perception and Representation Method for User Requirements 6

Design Knowledge Perception and Representation Method for Us...

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6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023

作者： Fan, Guoliang Yu, Xiaoyi Gao, Yaqiong Lu, Xiaoping Jiang, Zuhua Shanghai Jiao Tong University Shanghai Key Lab of Advanced Manufacturing Environment SJTUSME-COSMOPlat Joint Research Center for New Generation Industrial Intelligent Technology School of Mechanical Engineering Shanghai200240 China Shanghai Jiao Tong University State Key Laboratory of Massive Personalized Customization System and Technology SJTUSME-COSMOPlat Joint Research Center for New Generation Industrial Intelligent Technology School of Mechanical Engineering Qingdao266100 China

ISBN: (纸本)9798350323535

The user's requirements for product design include descriptiveness, dynamics, and personalization. The insufficient mapping of User requirement knowledge seriously affects the accuracy of designers' grasp of design ideas and design knowledge. For this issue, we proposed a design knowledge perception and representation method for user requirements. Design knowledge from user requirement question and answer (Q&A) was extracted, including design theme, design content, and design evaluation to improve communication efficiency between designers and users. A representation method was proposed for User requirement knowledge based on the Q&A of the user's initiating requirements and the product provider's solutions. A design requirement framework for expressing design intent was proposed by perceiving dialogue context. Furthermore, the rule of design requirement was derived based on attributes in User requirement knowledge for designers. Finally, the knowledge perception, representation method, and knowledge framework of air conditioners were analyzed to determine the knowledge rules. The results indicated that the knowledge perception and representation method proposed in this study accurately reflected User requirement knowledge and provided sufficient knowledge for product design. At the same time, the extracted design requirement was shared among different decision-makers, providing a theoretical basis for group decision-making. © 2023 IEEE.

关键词： Knowledge representation

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