Liangrui Pan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 31

Top Topics

Attention Mechanism

Semantic Segmentation

Top Venues

Biomed. Signal Process. Control.

Publications

Dazheng Liu, Wenjuan Liu, Liangrui Pan, Yutao Dou, Jianping Wu
Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM. CCF Trans. High Perform. Comput. 6 (1) (2024)
Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng
Opportunities and challenges in the application of large artificial intelligence models in radiology. CoRR (2024)
Liangrui Pan, Yijun Peng, Yan Li, Xiang Wang, Wenjuan Liu, Liwen Xu, Qingchun Liang, Shaoliang Peng
SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival. CoRR (2024)
Liangrui Pan, Yijun Peng, Yan Li, Yiyi Liang, Liwen Xu, Qingchun Liang, Shaoliang Peng
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival. CoRR (2024)
Liangrui Pan, Yijun Peng, Yan Li, Xiang Wang, Wenjuan Liu, Liwen Xu, Qingchun Liang, Shaoliang Peng
SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival. Comput. Biol. Medicine 172 (2024)
Liangrui Pan, Pinle Qin, Pengfei Rong, Xiangxiang Zeng, Dazheng Liu, Shaoliang Peng
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model. BIBM (2023)
Liangrui Pan, Lian Wang, Zhichao Feng, Liwen Xu, Shaoliang Peng
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images. CoRR (2023)
Liangrui Pan, Guo Chen, Wenjuan Liu, Liwen Xu, Xuan Liu, Shaoliang Peng
LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images. BIBM (2023)
Liangrui Pan, Dazheng Liu, Zhichao Feng, Wenjuan Liu, Shaoliang Peng
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model. CoRR (2023)
Liangrui Pan, Yutao Dou, Zhichao Feng, Liwen Xu, Shaoliang Peng
LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images. CoRR (2023)
Liangrui Pan, Dazhen Liu, Yutao Dou, Lian Wang, Zhichao Feng, Pengfei Rong, Liwen Xu, Shaoliang Peng
Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data. CoRR (2023)
Liangrui Pan, Keqin Li, Wenjuan Liu, Liwen Xu, Zhichao Feng, Shaoliang Peng
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images. BIBM (2023)
Lian Wang, Liangrui Pan, Hetian Wang, Mingting Liu, Zhichao Feng, Pengfei Rong, Zuo Chen, Shaoliang Peng
DHUnet: Dual-branch hierarchical global-local fusion network for whole slide image segmentation. Biomed. Signal Process. Control. 85 (2023)
Pronthep Pipitsunthonsan, Liangrui Pan, Shaoliang Peng, Thanate Khaorapapong, Sutkhet Nakasathien, Sittiporn Channumsin, Mitchai Chongcheawchamnan
Palm bunch grading technique using a multi-input and multi-label convolutional neural network. Comput. Electron. Agric. 210 (2023)
Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Yuan Jin, Shaoliang Peng
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. Biomed. Signal Process. Control. 77 (2022)
Liangrui Pan, Lian Wang, Zhichao Feng, Zhujun Xu, Liwen Xu, Shaoliang Peng
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. BIBM (2022)
Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Yuan Jin, Shaoliang Peng
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. CoRR (2022)
Liangrui Pan, Lian Wang, Mingting Liu, Zhujun Xu, Liwen Xu, Shaoliang Peng
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. CoRR (2022)
Peng Zhang, Liangrui Pan, Teeravisit Laohapensaeng, Mitchai Chongcheawchamnan
Hybrid Beamforming Based on an Unsupervised Deep Learning Network for Downlink Channels With Imperfect CSI. IEEE Wirel. Commun. Lett. 11 (7) (2022)
Liangrui Pan, Zhichao Feng, Shaoliang Peng
A review of machine learning approaches, challenges and prospects for computational tumor pathology. CoRR (2022)
Liangrui Pan, Boya Ji, Hetian Wang, Lian Wang, Mingting Liu, Mitchai Chongcheawchamnan, Shaolaing Peng
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images. Health Inf. Sci. Syst. 10 (1) (2022)
Liangrui Pan, Boya Ji, Peng Xi, Xiaoqi Wang, Mitchai Chongcheawchamnan, Shaoliang Peng
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. CoRR (2021)
Liangrui Pan, Peng Zhang, Chalongrat Daengngam, Mitchai Chongcheawchamnan
A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances. CoRR (2021)
Liangrui Pan, Peng Zhang, Fei Xia, Boya Ji, Wenjuan Liu, Hetian Wang, Yuan Jin, Mitchai Chongcheawchamnan, Shaoliang Peng
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. BIBM (2021)
Boya Ji, Jiawei Luo, Liangrui Pan, Xiaolan Xie, Shaoliang Peng
DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. BIBM (2021)
Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam, Sittiporn Channumsin, Suwat Sreesawet, Mitchai Chongcheawchamnan
Method for Classifying a Noisy Raman Spectrum Based on a Wavelet Transform and a Deep Neural Network. IEEE Access 8 (2020)
Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam, Sittiporn Channumsin, Suwat Sreesawet, Mitchai Chongcheawchamnan
Method for classifying a noisy Raman spectrum based on a wavelet transform and a deep neural network. CoRR (2020)
Liangrui Pan, Pronthep Pipitsunthonsan, Mitchai Chongcheawchamnan
Classification of Hazardous Chemicals with Raman Spectrum by Convolution Neural Network. HSI (2020)
Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidach Booranawong, Mitchai Chongcheawchamnan
Noise Reduction Technique for Raman Spectrum using Deep Learning Network. ISCID (2020)
Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam, Mitchai Chongcheawchamnan
Identification of complex mixtures for Raman spectroscopy using a novel scheme based on a new multi-label deep neural network. CoRR (2020)
Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidach Booranawong, Mitchai Chongcheawchamnan
Noise Reduction Technique for Raman Spectrum using Deep Learning Network. CoRR (2020)