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Meng Lou
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2020 – today
- 2024
- [i2]Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqing Zhang, Yizhou Yu:
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging. CoRR abs/2402.17246 (2024) - 2023
- [j14]Zhou Ma
, Yunliang Qi, Chunbo Xu, Wei Zhao, Meng Lou
, Yiming Wang, Yide Ma:
ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation. Comput. Biol. Medicine 153: 106533 (2023) - [j13]Xiaorong Li, Jiande Pi, Meng Lou
, Yunliang Qi, Sizheng Li, Jie Meng, Yide Ma:
Multi-level feature fusion network for nuclei segmentation in digital histopathological images. Vis. Comput. 39(4): 1307-1322 (2023) - [i1]Meng Lou, Hongyu Zhou, Sibei Yang, Yizhou Yu:
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition. CoRR abs/2310.19380 (2023) - 2022
- [j12]Chunbo Xu, Yunliang Qi
, Yiming Wang, Meng Lou
, Jiande Pi, Yide Ma:
ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images. Biomed. Signal Process. Control. 71(Part): 103178 (2022) - [j11]Meng Lou
, Jie Meng, Yunliang Qi, Xiaorong Li, Yide Ma:
MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging. Neurocomputing 470: 154-169 (2022) - [j10]Kexin Sun, Yuelan Xin, Yide Ma, Meng Lou
, Yunliang Qi, Jie Zhu:
ASU-Net: U-shape adaptive scale network for mass segmentation in mammograms. J. Intell. Fuzzy Syst. 42(4): 4205-4220 (2022) - [j9]Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou
, Yide Ma:
Learning multi-frequency features in convolutional network for mammography classification. Medical Biol. Eng. Comput. 60(7): 2051-2062 (2022) - [j8]Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma:
Correction to: Learning multi‑frequency features in convolutional network for mammography classification. Medical Biol. Eng. Comput. 60(7): 2063 (2022) - [j7]Xiaorong Li, Yunliang Qi, Meng Lou
, Wenwei Zhao, Jie Meng, Wenjun Zhang, Yide Ma:
Breast density measurement methods on mammograms: a review. Multim. Syst. 28(6): 2367-2390 (2022) - [j6]Meng Lou
, Yunliang Qi, Xiaorong Li, Chunbo Xu, Wenwei Zhao, Xiangyu Deng, Yide Ma:
Aggregated pyramid attention network for mass segmentation in mammograms. Multim. Tools Appl. 81(10): 13335-13353 (2022) - 2021
- [j5]Wenwei Zhao, Meng Lou
, Yunliang Qi, Yiming Wang, Chunbo Xu, Xiangyu Deng, Yide Ma:
Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms. Appl. Intell. 51(12): 8810-8827 (2021) - [j4]Chunbo Xu, Meng Lou
, Yunliang Qi, Yiming Wang, Jiande Pi, Yide Ma:
Multi-Scale Attention-Guided Network for mammograms classification. Biomed. Signal Process. Control. 68: 102730 (2021) - [j3]Wenwei Zhao, Runze Wang
, Yunliang Qi, Meng Lou
, Yiming Wang, Yang Yang, Xiangyu Deng, Yide Ma:
BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram. Biomed. Signal Process. Control. 70: 103073 (2021) - [j2]Jiande Pi, Yunliang Qi
, Meng Lou
, Xiaorong Li, Yiming Wang, Chunbo Xu, Yide Ma:
FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening. Comput. Biol. Medicine 137: 104800 (2021) - [j1]Meng Lou
, Runze Wang
, Yunliang Qi, Wenwei Zhao, Chunbo Xu, Jie Meng, Xiangyu Deng, Yide Ma:
MGBN: Convolutional neural networks for automated benign and malignant breast masses classification. Multim. Tools Appl. 80(17): 26731-26750 (2021) - [c3]Kexin Sun, Yuelan Xin, Yunliang Qi, Meng Lou
, Kai Ye, Yinru Ye:
CAGU-Net: Category Attention Guidance U-Net for Retinal Blood Vessel Segmentation. CIS 2021: 151-155
2000 – 2009
- 2004
- [c2]Ji Zhang, Meng Lou, Tok Wang Ling, Hai H. Wang:
HOS-Miner: A System for Detecting Outlying Subspaces of High-dimensional Data. VLDB 2004: 1265-1268 - 2002
- [c1]Mark D. Aagaard, Nancy A. Day, Meng Lou:
Relating Multi-step and Single-Step Microprocessor Correctness Statements. FMCAD 2002: 123-141
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last updated on 2024-08-15 23:39 CEST by the dblp team
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