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Disambiguation of "Yao, Jianhua"

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Retrieval, visualization, and mining of large radiation dosage data.

, , , , , and . Inf. Retr. J., 19 (1-2): 38-58 (2016)

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Yao Yao

Jianhua Liu

Jianhua Huang

Jianhua Zhu

Jianhua Zhang

 

Other publications of authors with the same name

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction., , , , and . CoRR, (2018)Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling., , , and . IEEE Trans. Medical Imaging, 36 (1): 111-123 (2017)Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT., , , , and . Medical Image Anal., 18 (5): 725-739 (2014)Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning., , , , , , , , and . CoRR, (2016)Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging., , , , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT., , , , and . CSI@MICCAI, volume 9402 of Lecture Notes in Computer Science, page 74-84. Springer, (2015)Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM., , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 144-151. Springer, (2015)Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images., , , and . Virtual Colonoscopy and Abdominal Imaging, volume 6668 of Lecture Notes in Computer Science, page 98-104. Springer, (2010)Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model., , and . Virtual Colonoscopy and Abdominal Imaging, volume 6668 of Lecture Notes in Computer Science, page 15-23. Springer, (2010)Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images., , , , , , , , and . MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 509-518. Springer, (2020)