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Journal Articles
- 2024
[j8]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: 108301 (2024)- [j7]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): 68-77 (2024) - 2023
- [j6]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: 104976 (2023) - [j5]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: 107864 (2023) - 2022
- [j4]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: 103824 (2022) - [j3]Liangrui Pan, Boya Ji, Hetian Wang, Lian Wang, Mingting Liu, Mitchai Chongcheawchamnan, Shaoliang Peng:
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images. Health Inf. Sci. Syst. 10(1): 4 (2022) - [j2]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): 1543-1547 (2022) - 2020
- [j1]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: 202716-202727 (2020)
Conference and Workshop Papers
- 2023
- [c8]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: 904-909 - [c7]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: 1368-1373 - [c6]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: 1374-1379 - 2022
- [c5]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: 1121-1125 - 2021
- [c4]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: 406-411 - [c3]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: 1032-1036 - 2020
- [c2]Liangrui Pan, Pronthep Pipitsunthonsan, Mitchai Chongcheawchamnan:
Classification of Hazardous Chemicals with Raman Spectrum by Convolution Neural Network. HSI 2020: 24-28 - [c1]Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidach Booranawong, Mitchai Chongcheawchamnan:
Noise Reduction Technique for Raman Spectrum using Deep Learning Network. ISCID 2020: 159-163
Informal and Other Publications
- 2024
- [i14]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 abs/2403.09290 (2024) - [i13]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 abs/2403.16112 (2024) - [i12]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 abs/2405.07702 (2024) - 2023
- [i11]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 abs/2307.04075 (2023) - [i10]Liangrui Pan, Yutao Dou, Zhichao Feng, Liwen Xu, Shaoliang Peng:
LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images. CoRR abs/2308.10446 (2023) - [i9]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 abs/2308.10449 (2023) - [i8]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 abs/2308.10917 (2023) - 2022
- [i7]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 abs/2204.13838 (2022) - [i6]Liangrui Pan, Zhichao Feng, Shaoliang Peng:
A review of machine learning approaches, challenges and prospects for computational tumor pathology. CoRR abs/2206.01728 (2022) - [i5]Liangrui Pan, Lian Wang, Mingting Liu, Zhujun Xu, Liwen Xu, Shaoliang Peng:
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. CoRR abs/2210.10981 (2022) - 2021
- [i4]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 abs/2104.04599 (2021) - 2020
- [i3]Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidach Booranawong, Mitchai Chongcheawchamnan:
Noise Reduction Technique for Raman Spectrum using Deep Learning Network. CoRR abs/2009.04067 (2020) - [i2]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 abs/2009.04078 (2020) - [i1]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 abs/2010.15654 (2020)
Coauthor Index
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