Search Results for author: Tao Song

Found 17 papers, 11 papers with code

TCR-GAN: Predicting tropical cyclone passive microwave rainfall using infrared imagery via generative adversarial networks

no code implementations14 Jan 2022 Fan Meng, Tao Song, Danya Xu

Tropical cyclones (TC) generally carry large amounts of water vapor and can cause large-scale extreme rainfall.

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

1 code implementation9 Dec 2021 Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang

Notably, this work may be the first attempt to combine CNN and transformer for semi-supervised medical image segmentation and achieve promising results on a public benchmark.

Semantic Segmentation Semi-supervised Medical Image Segmentation

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization

1 code implementation CVPR 2021 Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan

Bayesian neural networks have been widely used in many applications because of the distinctive probabilistic representation framework.

Fast and Accurate Scene Parsing via Bi-direction Alignment Networks

1 code implementation25 May 2021 Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

Motivated by this, we propose a novel network by aligning two-path information into each other through a learned flow field.

Scene Parsing

MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

1 code implementation25 Apr 2021 Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang

To solve these problems, we propose a novel deep learning-based interactive segmentation method that not only has high efficiency due to only requiring clicks as user inputs but also generalizes well to a range of previously unseen objects.

Interactive Segmentation Medical Image Segmentation +1

SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching

1 code implementation12 Apr 2021 Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang

To overcome these problems, we propose a 3D sphere representation-based center-points matching detection network that is anchor-free and automatically predicts the position, radius, and offset of nodules without the manual design of nodule/anchor parameters.

Lung Nodule Detection

Self-Supervised Vessel Segmentation via Adversarial Learning

1 code implementation ICCV 2021 Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan

Vessel segmentation is critically essential for diagnosinga series of diseases, e. g., coronary artery disease and retinal disease.

Domain Adaptation

Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

1 code implementation13 Dec 2020 Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang

In this paper, we propose a novel framework with Uncertainty Rectified Pyramid Consistency (URPC) regularization for semi-supervised NPC GTV segmentation.

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

1 code implementation22 Sep 2020 Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang

Also, we propose a scale attention module implicitly emphasizing the most salient feature maps among multiple scales so that the CNN is adaptive to the size of an object.

Lesion Segmentation Semantic Segmentation +1

Semi-supervised Medical Image Segmentation through Dual-task Consistency

1 code implementation9 Sep 2020 Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang

Concretely, we use a dual-task deep network that jointly predicts a pixel-wise segmentation map and a geometry-aware level set representation of the target.

Semantic Segmentation Semi-supervised Medical Image Segmentation

Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks

no code implementations7 Jul 2020 Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang

Experimental results showed that our framework achieved the top performance on ISLES 2018 challenge and: 1) our method using synthesized pseudo DWI outperformed methods segmenting the lesion from perfusion parameter maps directly; 2) the feature extractor exploiting additional spatiotemporal CTA images led to better synthesized pseudo DWI quality and higher segmentation accuracy; and 3) the proposed loss functions and network structure improved the pseudo DWI synthesis and lesion segmentation performance.

Image Generation Ischemic Stroke Lesion Segmentation +1

KLDivNet: An unsupervised neural network for multi-modality image registration

no code implementations23 Aug 2019 Yechong Huang, Tao Song, Jiahang Xu, Yinan Chen, Xiahai Zhuang

We then embed the KLDivNet into a registration network to achieve the unsupervised deformable registration for multi-modality images.

Image Registration Medical Image Registration

Generative Model-Based Ischemic Stroke Lesion Segmentation

no code implementations6 Jun 2019 Tao Song

In this paper, we propose a novel generative modelbased segmentation framework composed of an extractor, a generator and a segmentor for ischemic stroke lesion segmentation.

Ischemic Stroke Lesion Segmentation Lesion Segmentation +1

Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation

no code implementations ECCV 2018 Tao Song, Leiyu Sun, Di Xie, Haiming Sun, ShiLiang Pu

A critical issue in pedestrian detection is to detect small-scale objects that will introduce feeble contrast and motion blur in images and videos, which in our opinion should partially resort to deep-rooted annotation bias.

Pedestrian Detection

Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation

no code implementations4 Jul 2018 Tao Song, Leiyu Sun, Di Xie, Haiming Sun, ShiLiang Pu

A critical issue in pedestrian detection is to detect small-scale objects that will introduce feeble contrast and motion blur in images and videos, which in our opinion should partially resort to deep-rooted annotation bias.

Pedestrian Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.