Výsledky vyhledávání - "Meng, Xiangxi"

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A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

Autor: Meng, Xiangxi, Gu, Yuning, Pan, Yongsheng, Wang, Nizhuan, Xue, Peng, Lu, Mengkang, He, Xuming, Zhan, Yiqiang, Shen, Dinggang

Multi-modal medical image completion has been extensively applied to alleviate the missing modality issue in a wealth of multi-modal diagnostic tasks. However, for most existing synthesis methods, their inferences of missing modalities can collapse i

Externí odkaz: http://arxiv.org/abs/2207.03430

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Akademický článek

Recovering high-quality glass fibers from end-of-life wind turbine blades through swelling-assisted low-temperature pyrolysis

Autor: Xu, Mingxin, Yang, Jie, Ji, Haiwen, Wu, Yachang, Li, Jihong, Di, Jinyi, Meng, Xiangxi, Jiang, Hao, Lu, Qiang

Publikováno v: In Waste Management 1 October 2024 187:179-187

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Background-aware Classification Activation Map for Weakly Supervised Object Localization

Autor: Zhu, Lei, She, Qi, Chen, Qian, Meng, Xiangxi, Geng, Mufeng, Jin, Lujia, Jiang, Zhe, Qiu, Bin, You, Yunfei, Zhang, Yibao, Ren, Qiushi, Lu, Yanye

Weakly supervised object localization (WSOL) relaxes the requirement of dense annotations for object localization by using image-level classification masks to supervise its learning process. However, current WSOL methods suffer from excessive activat

Externí odkaz: http://arxiv.org/abs/2112.14379

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Bayesian Statistics Guided Label Refurbishment Mechanism: Mitigating Label Noise in Medical Image Classification

Autor: Gao, Mengdi, Feng, Ximeng, Geng, Mufeng, Jiang, Zhe, Zhu, Lei, Meng, Xiangxi, Zhou, Chuanqing, Ren, Qiushi, Lu, Yanye

Purpose: Deep neural networks (DNNs) have been widely applied in medical image classification, benefiting from its powerful mapping capability among medical images. However, these existing deep learning-based methods depend on an enormous amount of c

Externí odkaz: http://arxiv.org/abs/2106.12284

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