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Machine Translation Evaluation Benchmark for Wu Chinese: Workflow and Analysis

Autor: Yu, Hongjian, Shi, Yiming, Zhou, Zherui, Haberland, Christopher

We introduce a FLORES+ dataset as an evaluation benchmark for modern Wu Chinese machine translation models and showcase its compatibility with existing Wu data. Wu Chinese is mutually unintelligible with other Sinitic languages such as Mandarin and Y

Externí odkaz: http://arxiv.org/abs/2410.10278

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Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows

Autor: Wei, Lindsey Linxi, Yeung, Chung Yik Edward, Yu, Hongjian, Zhou, Jingchuan, He, Dong, Balazinska, Magdalena

We demonstrate MaskSearch, a system designed to accelerate queries over databases of image masks generated by machine learning models. MaskSearch formalizes and accelerates a new category of queries for retrieving images and their corresponding masks

Externí odkaz: http://arxiv.org/abs/2404.06563

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Convolutional neural network based on sparse graph attention mechanism for MRI super-resolution

Autor: Hua, Xin, Du, Zhijiang, Yu, Hongjian, Maa, Jixin

Magnetic resonance imaging (MRI) is a valuable clinical tool for displaying anatomical structures and aiding in accurate diagnosis. Medical image super-resolution (SR) reconstruction using deep learning techniques can enhance lesion analysis and assi

Externí odkaz: http://arxiv.org/abs/2305.17898

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Spatial Correspondence between Graph Neural Network-Segmented Images

Autor: Li, Qian, Fu, Yunguan, Yang, Qianye, Du, Zhijiang, Yu, Hongjian, Hu, Yipeng

Graph neural networks (GNNs) have been proposed for medical image segmentation, by predicting anatomical structures represented by graphs of vertices and edges. One such type of graph is predefined with fixed size and connectivity to represent a refe

Externí odkaz: http://arxiv.org/abs/2303.06550

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WSC-Trans: A 3D network model for automatic multi-structural segmentation of temporal bone CT

Autor: Hua, Xin, Du, Zhijiang, Yu, Hongjian, Ma, Jixin, Zheng, Fanjun, Zhang, Cheng, Lu, Qiaohui, Zhao, Hui

Cochlear implantation is currently the most effective treatment for patients with severe deafness, but mastering cochlear implantation is extremely challenging because the temporal bone has extremely complex and small three-dimensional anatomical str

Externí odkaz: http://arxiv.org/abs/2211.07143

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