Search Results - "Pan, Liangrui"

Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein by Zeng, Wenwu, Dou, Yutao, Pan, Liangrui, Xu, Liwen, Peng, Shaoliang

“…DNA-protein interactions exert the fundamental structure of many pivotal biological processes, such as DNA replication, transcription, and gene regulation…”
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Attention-Based Two-Branch Hybrid Fusion Network for Medical Image Segmentation by Liu, Jie, Mao, Songren, Pan, Liangrui

“…Accurate segmentation of medical images is vital for disease detection and treatment. Convolutional Neural Networks (CNN) and Transformer models are widely…”
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Method for Classifying a Noisy Raman Spectrum Based on a Wavelet Transform and a Deep Neural Network by Pan, Liangrui, Pipitsunthonsan, Pronthep, Daengngam, Chalongrat, Channumsin, Sittiporn, Sreesawet, Suwat, Chongcheawchamnan, Mitchai

“…Because it is relatively difficult in practice to classify the Raman spectrum under baseline noise and additive white Gaussian noise environments, this paper…”
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A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances by Pan, Liangrui, Zhang, Peng, Daengngam, Chalongrat, Peng, Shaoliang, Chongcheawchamnan, Mitchai

“…In general, most of the substances in nature exist in mixtures, and the noninvasive identification of mixture composition with high speed and accuracy remains…”
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Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma by Pan, Liangrui, Wang, Hetian, Wang, Lian, Ji, Boya, Liu, Mingting, Chongcheawchamnan, Mitchai, Yuan, Jin, Peng, Shaoliang

“…The degree of malignancy of osteosarcoma and its tendency to metastasize/spread mainly depend on the pathological grade (determined by observing the morphology…”
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Palm bunch grading technique using a multi-input and multi-label convolutional neural network by Pipitsunthonsan, Pronthep, Pan, Liangrui, Peng, Shaoliang, Khaorapapong, Thanate, Nakasathien, Sutkhet, Channumsin, Sittiporn, Chongcheawchamnan, Mitchai

“…•A nondestructive oil palm fresh-fruit bunches grading technique using a multi-sensor method.•A fast algorithm for grading multi-variety fresh fruit bunches.•A…”
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Hybrid Beamforming based on an Unsupervised Deep Learning Network for Downlink Channels with Imperfect CSI by Zhang, Peng, Pan, Liangrui, Laohapensaeng, Teeravisit, Chongcheawchamnan, Mitchai

“…Hybrid beamforming can provide rapid data transmission rates while reducing the complexity and cost of massive multiple-input multiple-output (MIMO) systems…”
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DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data by Pan, Liangrui, Wang, Xiang, Liang, Qingchun, Shang, Jiandong, Liu, Wenjuan, Xu, Liwen, Peng, Shaoliang

“…Given the high heterogeneity and clinical diversity of cancer, substantial variations exist in multi-omics data and clinical features across different cancer…”
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Identification of Complex Mixtures for Raman Spectroscopy Using a Novel Scheme Based on a New Multi-Label Deep Neural Network by Pan, Liangrui, Pipitsunthonsan, Pronthep, Daengngam, Chalongrat, Channumsin, Sittiporn, Sreesawet, Suwat, Chongcheawchamnan, Mitchai

“…With a noisy environment caused by fluorescence and additive white noise as well as complicated spectra fingerprints, the identification of complex mixture…”
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SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival by Pan, Liangrui, Peng, Yijun, Li, Yan, Wang, Xiang, Liu, Wenjuan, Xu, Liwen, Liang, Qingchun, Peng, Shaoliang

“…Accurately predicting the survival rate of cancer patients is crucial for aiding clinicians in planning appropriate treatment, reducing cancer-related medical…”
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DHUnet: Dual-branch hierarchical global–local fusion network for whole slide image segmentation by Wang, Lian, Pan, Liangrui, Wang, Hetian, Liu, Mingting, Feng, Zhichao, Rong, Pengfei, Chen, Zuo, Peng, Shaoliang

“…Hematoxylin and eosin stained whole slide images (WSIs) are the gold standard for pathologists and medical professionals for tumor diagnosis, surgery planning,…”
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Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM by Liu, Dazheng, Liu, Wenjuan, Pan, Liangrui, Dou, Yutao, Wu, Jianping

“…In the semi-Lagrangian interpolation scheme of Yin-he Global Spectral model (YHGSM), communication needs to be performed before interpolation, resulting in…”
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MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images by Pan, Liangrui, Ji, Boya, Wang, Hetian, Wang, Lian, Liu, Mingting, Chongcheawchamnan, Mitchai, Peng, Shaolaing

“…The use of chest X-ray images (CXI) to detect Severe Acute Respiratory Syndrome Coronavirus 2 (SARS CoV-2) caused by Coronavirus Disease 2019 (COVID19) is…”
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Opportunities and challenges in the application of large artificial intelligence models in radiology by Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng

“…Influenced by ChatGPT, artificial intelligence (AI) large models have witnessed a global upsurge in large model research and development. As people enjoy the…”
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FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation by Pan, Liangrui, Huang, Mao, Wang, Lian, Qin, Pinle, Peng, Shaoliang

“…Hematoxylin and Eosin (H&E) staining of whole slide images (WSIs) is considered the gold standard for pathologists and medical practitioners for tumor…”
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A review of machine learning approaches, challenges and prospects for computational tumor pathology by Pan, Liangrui, Feng, Zhichao, Peng, Shaoliang

“…Computational pathology is part of precision oncology medicine. The integration of high-throughput data including genomics, transcriptomics, proteomics,…”
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CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images by Pan, Liangrui, Wang, Lian, Feng, Zhichao, Xu, Liwen, Peng, Shaoliang

“…Histopathology image segmentation is the gold standard for diagnosing cancer, and can indicate cancer prognosis. However, histopathology image segmentation…”
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PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model by Pan, Liangrui, Liu, Dazheng, Feng, Zhichao, Liu, Wenjuan, Peng, Shaoliang

“…Due to the high heterogeneity and clinical characteristics of cancer, there are significant differences in multi-omic data and clinical characteristics among…”
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LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images by Pan, Liangrui, Dou, Yutao, Feng, Zhichao, Xu, Liwen, Peng, Shaoliang

“…Histopathological images are the gold standard for diagnosing liver cancer. However, the accuracy of fully digital diagnosis in computational pathology needs…”
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DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning by Ji, Boya, Luo, Jiawei, Pan, Liangrui, Xie, Xiaolan, Peng, Shaoliang

“…Piwi-interacting RNAs (piRNAs) fulfill the necessary requirements of epigenetic mechanisms, working to regulate gene expression in diseases and homeostasis in…”
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