Search Results for author: Junjie Bai

Found 8 papers, 3 papers with code

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning

1 code implementation23 May 2022 Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai

With the dramatically increased number of parameters in language models, sparsity methods have received ever-increasing research focus to compress and accelerate the models.

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

1 code implementation Radiology 2020 Lin Li, Lixin Qin, Zeguo Xu, Youbing Yin, Xin Wang, Bin Kong, Junjie Bai, Yi Lu, Zhenghan Fang, Qi Song, Kunlin Cao, Daliang Liu, Guisheng Wang, Qizhong Xu, Xisheng Fang, Shiqin Zhang, Juan Xia, Jun Xia

Materials and Methods In this retrospective and multi-center study, a deep learning model, COVID-19 detection neural network (COVNet), was developed to extract visual features from volumetric chest CT exams for the detection of COVID-19.

COVID-19 Image Segmentation

DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction

no code implementations25 Mar 2019 Zhihui Guo, Junjie Bai, Yi Lu, Xin Wang, Kunlin Cao, Qi Song, Milan Sonka, Youbing Yin

The proposed method generates well-positioned centerlines, exhibiting lower number of missing branches and is more robust in the presence of minor imperfections of the object segmentation mask.

Semantic Segmentation

Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding

no code implementations29 Jan 2019 Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Kunlin Cao, Qi Song, Shaoting Zhang, Siwei Lyu, Youbing Yin

In order to address these limitations, we present tree-structured ConvLSTM models for tree-structured image analysis tasks which can be trained end-to-end.

Residual Attention based Network for Hand Bone Age Assessment

no code implementations21 Dec 2018 Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin

The hierarchical attention components of the residual attention subnet force our network to focus on the key components of the X-ray images and generate the final predictions as well as the associated visual supports, which is similar to the assessment procedure of clinicians.

Hand Segmentation

Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors

no code implementations22 May 2017 Junjie Bai, Abhay Shah, Xiaodong Wu

Shape priors have been widely utilized in medical image segmentation to improve segmentation accuracy and robustness.

Medical Image Segmentation Semantic Segmentation

Error-tolerant Scribbles Based Interactive Image Segmentation

no code implementations CVPR 2014 Junjie Bai, Xiaodong Wu

The experimental results show that the proposed algorithm is robust to the errors in the user input and preserves the "anchoring" capability of the user input.

Interactive Segmentation Semantic Segmentation

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