Yan Li

Northwestern Polytechnical University

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Yifan Wang

Northwestern Polytechnical University

Hengfei Cui

Northwestern Polytechnical University

Dongmei Jiang

Northwestern Polytechnical University

Yong Xia

Northwestern Polytechnical University

Xiaoqing Song

Heilongjiang University

Hichem Sahli

Vrije Universiteit Brussel

Yanning Zhang

Northwestern Polytechnical University

Shao‐Wu Zhang

Northwestern Polytechnical University

Junjie Gong

Northwestern Polytechnical University

Yongxin Wang

Northwestern Polytechnical University

Cooperative Institutions

Northwestern Polytechnical University

Chinese Academy of Sciences

Sun Yat-sen University

University of Chinese Academy of Sciences

Chinese Academy of Medical Sciences & Peking Union Medical College

Capital Medical University

Shanghai Jiao Tong University

Central South University

Huazhong University of Science and Technology

Sichuan University

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A Fusion Model of MRI Deep Transfer Learning and Radiomics for Discriminating between Pilocytic Astrocytoma and Adamantinomatous Craniopharyngioma

Academic Radiology (2024)

Yu M Xin Kong Yuqi Luo Fengjun Xi Yan Li

Pilocytic astrocytoma

Craniopharyngioma

Transfer of learning

10.1016/j.acra.2024.11.044

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Algorithm of Edge Detection Based on LOG and Canny Operator

Jisuanji gongcheng (2011)

Yan Li

Aiming at the disability of traditional Canny operator in noise suppression and detecting low-intensity edge,this paper proposes an edge detection method combined LOG operator and Canny operator.LOG operator is used to the picture for noise filtering and Canny operator is improved in the flowing three aspects to execute the edge detection:(1)It designs Gaussian smoothing kernel to intense the edge of picture filtered noise,which makes the low-intensity edge detect easily;(2)Gradient magnitude and direction are calculated by pixels within a M-by-N neighborhood;(3)It integrates gradient direction with the calculation of gradient magnitude,which can be the ground for gradient magnitude in edge detection.Through carrying out a lot experiment for picture increased salt and pepper noise,the method proposed in this paper can not only suppress noise in the largest degree,but also detect more low-intensity edge.

Canny edge detector

Deriche edge detector

Image gradient

Operator (biology)

Gaussian Noise

Kernel (algebra)

Smoothing

Salt-and-pepper noise

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Citations (13)

Pipeline Leak Aperture Recognition Based on Wavelet Packet Analysis and a Deep Belief Network with ICR

Wireless Communications and Mobile Computing (2018)

Xianming Lang Zhiyong Hu Ping Li Yan Li Jiangtao Cao

The leakage aperture cannot be easily identified, when an oil pipeline has small leaks. To address this issue, a leak aperture recognition method based on wavelet packet analysis (WPA) and a deep belief network (DBN) with independent component regression (ICR) is proposed. WPA is used to remove the noise in the collected sound velocity of the ultrasonic signal. Next, the denoised sound velocity of the ultrasonic signal is input into the deep belief network with independent component regression (DBN ICR ) to recognize different leak apertures. Because the optimization of the weights of the DBN with the gradient leads to a local optimum and a slow learning rate, ICR is used to replace the gradient fine‐tuning method in conventional DBN for improving the classification accuracy, and a Lyapunov function is constructed to prove the convergence of the DBN ICR learning process. By analyzing the acquired ultrasonic sound velocity of different leak apertures, the results show that the proposed method can quickly and effectively identify different leakage apertures.

Leak Detection

10.1155/2018/6934825

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Citations (12)

Audio authenticity: Duplicated audio segment detection in waveform audio file

Journal of Shanghai Jiaotong University (Science) (2014)

Ji-nian Xiao Yun-zhe Jia Er-dong Fu Zheng Huang Yan Li

Similarity (geometry)

File format

10.1007/s12204-014-1515-5

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Citations (29)

Speech-driven cartoon animation with emotions

Proceedings of the ninth ACM international conference on Multimedia - MULTIMEDIA '01 (2001)

Yan Li Feng Yu Yingqing Xu Eric L. Chang Heung‐Yeung Shum

In this paper, we present a cartoon face animation system for multimedia HCI applications. We animate face cartoons not only from input speech, but also based on emotions derived from speech signal. Using a corpus of over 700 utterances from different speakers, we have trained SVMs (support vector machines) to recognize four categories of emotions: neutral, happiness, anger and sadness. Given each input speech phrase, we identify its emotion content as a mixture of all four emotions, rather than classifying it into a single emotion. Then, facial expressions are= generated from the recovered emotion for each phrase, by morphing different cartoon templates that correspond to various emotions. To ensure smooth transitions in the animation, we apply low-pass filtering to the recovered (and possibly jumpy) emotion sequence. Moreover, lip-syncing is applied to produce the lip movement from speech, by recovering a statistical audio-visual mapping. Experimental results demonstrate that cartoon animation sequences generated by our system are of good and convincing quality.

Sadness

Morphing

Viseme

Phrase

10.1145/500194.500196

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Citations (12)

A Novel Selective Encryption Method Based on Skin Lesion Detection

Mathematical Problems in Engineering (2020)

Dezhi An Jun Lu Shengcai Zhang Yan Li António M. Lopes

Due to the semitrusted cloud, privacy protection of medical images in medical imaging clouds has become a precondition. For the privacy of patients and the security of medical images in the cloud, this paper proposes a selective encryption based on DNA sequence and chaotic maps for skin lesion image. Initially, we design a transition region-based level set evolution functional which is merged into a variational level set expression with two extra energy functionals, to segment skin lesion image. Once skin lesion detection has been performed, the detected skin lesion pixels are encrypted by employing chaotic systems and DNA sequences. We apply 2D-LASM and 1D-LSS to produce the pseudorandom sequences and use the hash function of the plaintext image to calculate the secret keys of the encryption system. Results demonstrate that the proposed segmentation method is particularly suitable for the detection of skin lesion images with strong noise and complex background. Meanwhile, security analysis also reveals that this selective encryption has a large security key space and high sensitivity to the plaintext image and the secret key.

Plain text

Sørensen–Dice coefficient

Security Analysis

10.1155/2020/7982192

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Citations (1)

Prognostic Predictors of Adrenocortical Carcinoma in Adults

Journal of Sun Yat-sen University (2019)

Shaohua Li Juying Tang Shao‐Ling Zhang You Li-li Kexu Xiang

Source

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BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI

Computers in Biology and Medicine (2023)

Xin Jiang Yizhou Ding Mingzhe Liu Yong Wang Yan Li

Dice

10.1016/j.compbiomed.2023.107326

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Citations (25)

A Forecasting Approach on Development of Manufacturing Industry Using Support Vector Machine Combined with Grey System

Yan Li Huifeng Xue Xuesong Guo

In order to solve the manufacturing time series forecasting problem, a grey support vector machines (GSVM) with differential evolution algorithms is proposed. GM (1, N) model of grey system is used to add a grey layer before neural input layer and white layer after support vector machine layer. Differential evolution (DE) algorithm is used to determine free parameters of support vector machines. Evaluation method has been used for comparing the performance of forecasting techniques. The experiments show that the proposed model in this paper outperforms either GM (1, N) model or support vector machine model with DE algorithms in the field of forecast.

Differential Evolution

10.1109/csie.2009.503

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Constrained nonlinear high-efficiency model predictive technics for test mass capture

Advances in Space Research (2023)

Yuxian Liu Yan Li Pengcheng Wang Yong Zhang

Model Predictive Control

Robustness

10.1016/j.asr.2023.02.046

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Citations (1)