Dakai Jin

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Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images

Radiological images such as computed tomography (CT) and X-rays render a...
12/04/2020 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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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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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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Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

Accurate and automated tumor segmentation is highly desired since it has...
08/24/2020 ∙ by Ling Zhang, et al. ∙ 19 ∙ 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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Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search

OAR segmentation is a critical step in radiotherapy of head and neck (H ...
04/17/2020 ∙ by Dazhou Guo, et al. ∙ 6 ∙ share

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Weakly Supervised Universal Fracture Detection in Pelvic X-rays

Hip and pelvic fractures are serious injuries with life-threatening comp...
09/04/2019 ∙ by Yirui Wang, et al. ∙ 0 ∙ share

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Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk

Clinical target volume (CTV) delineation from radiotherapy computed tomo...
09/04/2019 ∙ by Dakai Jin, et al. ∙ 0 ∙ share

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Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion

Gross tumor volume (GTV) segmentation is a critical step in esophageal c...
09/04/2019 ∙ by Dakai Jin, et al. ∙ 0 ∙ share

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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Quantification of cerebral white matter hyperintensities (WMH) of presum...
04/01/2019 ∙ by Hugo J. Kuijf, et al. ∙ 0 ∙ share

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CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation

Data availability plays a critical role for the performance of deep lear...
06/11/2018 ∙ by Dakai Jin, et al. ∙ 2 ∙ share

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White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections

Segmentation and quantification of white matter hyperintensities (WMHs) ...
03/19/2018 ∙ by Dakai Jin, et al. ∙ 0 ∙ share

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