Ke Yan

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National Institutes of Health ∙ NetEase, Inc

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Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT

Large-scale datasets with high-quality labels are desired for training a...
09/05/2020 ∙ by Ke Yan, et al. ∙ 9 ∙ share

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Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression

Identifying, measuring and reporting lesions accurately and comprehensiv...
08/30/2020 ∙ by Jinzheng Cai, et al. ∙ 2 ∙ share

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Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Determining the spread of GTV_LN is essential in defining the respective...
08/29/2020 ∙ by Chun-Hung Chao, et al. ∙ 9 ∙ share

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Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy

Finding, identifying and segmenting suspicious cancer metastasized lymph...
08/27/2020 ∙ by Zhuotun Zhu, et al. ∙ 5 ∙ share

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CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization

Most current pipelines for spatio-temporal action localization connect f...
08/19/2020 ∙ by Yuxi Li, et al. ∙ 0 ∙ share

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Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization

Ultrasound (US) is a critical modality for diagnosing liver fibrosis. Un...
08/07/2020 ∙ by Bowen Li, et al. ∙ 0 ∙ share

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One Click Lesion RECIST Measurement and Segmentation on CT Scans

In clinical trials, one of the radiologists' routine work is to measure ...
07/21/2020 ∙ by Youbao Tang, et al. ∙ 0 ∙ share

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Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Effective and non-invasive radiological imaging based tumor/lesion chara...
06/28/2020 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

Lesion detection is an important problem within medical imaging analysis...
05/28/2020 ∙ by Ke Yan, et al. ∙ 5 ∙ share

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Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification

Finding and identifying scatteredly-distributed, small, and critically i...
05/27/2020 ∙ by Zhuotun Zhu, et al. ∙ 4 ∙ share

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Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Acquiring large-scale medical image data, necessary for training machine...
01/21/2020 ∙ by Jinzheng Cai, et al. ∙ 3 ∙ share

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MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

When reading medical images such as a computed tomography (CT) scan, rad...
08/12/2019 ∙ by Ke Yan, et al. ∙ 6 ∙ share

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A self-attention based deep learning method for lesion attribute detection from CT reports

In radiology, radiologists not only detect lesions from the medical imag...
04/30/2019 ∙ by Yifan Peng, et al. ∙ 0 ∙ share

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Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology

In radiologists' routine work, one major task is to read a medical image...
04/09/2019 ∙ by Ke Yan, et al. ∙ 26 ∙ share

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Fine-grained lesion annotation in CT images with knowledge mined from radiology reports

In radiologists' routine work, one major task is to read a medical image...
03/04/2019 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining

Automatic lesion detection from computed tomography (CT) scans is an imp...
01/18/2019 ∙ by Youbao Tang, et al. ∙ 2 ∙ share

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Attention Driven Person Re-identification

Person re-identification (ReID) is a challenging task due to arbitrary h...
10/13/2018 ∙ by Fan Yang, et al. ∙ 0 ∙ share

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Deep Learning for Image Denoising: A Survey

Since the proposal of big data analysis and Graphic Processing Unit (GPU...
10/11/2018 ∙ by Chunwei Tian, et al. ∙ 2 ∙ share

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CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

Automated lesion segmentation from computed tomography (CT) is an import...
07/18/2018 ∙ by Youbao Tang, et al. ∙ 0 ∙ share

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Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST

Volumetric lesion segmentation from computed tomography (CT) images is a...
07/02/2018 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection

Detecting lesions from computed tomography (CT) scans is an important bu...
06/25/2018 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST

Volumetric lesion segmentation via medical imaging is a powerful means t...
01/25/2018 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database

Radiologists in their daily work routinely find and annotate significant...
11/28/2017 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services

Fast development of sharing services becomes a crucial part of the proce...
11/20/2017 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations

Extracting, harvesting and building large-scale annotated radiological i...
10/04/2017 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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Information Design in Crowdfunding under Thresholding Policies

In crowdfunding, an entrepreneur often has to decide how to disclose the...
09/12/2017 ∙ by Wen Shen, et al. ∙ 0 ∙ share

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Learning a Repression Network for Precise Vehicle Search

The growing explosion in the use of surveillance cameras in public secur...
08/08/2017 ∙ by Qiantong Xu, et al. ∙ 0 ∙ share

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Unsupervised body part regression using convolutional neural network with self-organization

Automatic body part recognition for CT slices can benefit various medica...
07/12/2017 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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Learning Domain-Invariant Subspace using Domain Features and Independence Maximization

Domain adaptation algorithms are useful when the distributions of the tr...
03/15/2016 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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