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

Z. Zhu, K. Yan, D. Jin, J. Cai, T. Ho, A. Harrison, D. Guo, C. Chao, X. Ye, J. Xiao, A. Yuille, and L. Lu. CoRR, (2020)

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Jian Cai

Yongjie Cai

Cai Berg

Lijun Cai

Xuediao Cai

Other publications of authors with the same name

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.K. Yan, J. Cai, Y. Zheng, A. Harrison, D. Jin, Y. Tang, Y. Tang, L. Huang, J. Xiao, and L. Lu. CoRR, (2020)Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images.K. Yan, J. Cai, D. Jin, S. Miao, A. Harrison, D. Guo, Y. Tang, J. Xiao, J. Lu, and L. Lu. CoRR, (2020)Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.B. Lai, Y. Wu, X. Bai, X. Zhou, P. Wang, J. Cai, Y. Huo, L. Huang, Y. Xia, J. Xiao and 3 other author(s). PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 47-58. Springer, (2021)Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression.J. Cai, K. Yan, C. Cheng, J. Xiao, C. Liao, L. Lu, and A. Harrison. MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 3-13. Springer, (2020)Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.J. Cai, A. Harrison, Y. Zheng, K. Yan, Y. Huo, J. Xiao, L. Yang, and L. Lu. CoRR, (2020)Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.Y. Xia, D. Yang, Z. Yu, F. Liu, J. Cai, L. Yu, Z. Zhu, D. Xu, A. Yuille, and H. Roth. CoRR, (2020)Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.B. Lai, X. Bai, Y. Wu, X. Zhou, P. Wang, J. Cai, Y. Huo, L. Huang, Y. Xia, J. Xiao and 3 other author(s). CoRR, (2020)Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.J. Cai, Z. Zhang, L. Cui, Y. Zheng, and L. Yang. Medical Image Anal., (2019)Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.Z. Zhang, P. Chen, M. McGough, F. Xing, C. Wang, M. Bui, Y. Xie, M. Sapkota, L. Cui, J. Dhillon and 8 other author(s). Nat. Mach. Intell., 1 (5): 236-245 (2019)Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.Y. Huo, J. Cai, C. Cheng, A. Raju, K. Yan, B. Landman, J. Xiao, L. Lu, C. Liao, and A. Harrison. CoRR, (2020)

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Disambiguation of "Cai, Jinzheng"

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

Please choose a person to relate this publication to

Jian Cai

Yongjie Cai

Cai Berg

Lijun Cai

Xuediao Cai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Cai, Jinzheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.

Please choose a person to relate this publication to

Jian Cai

Yongjie Cai

Cai Berg

Lijun Cai

Xuediao Cai

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.