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Deeply-supervised density regression for automatic cell counting in microscopy images.

S. He, K. Minn, L. Solnica-Krezel, M. Anastasio, and H. Li. Medical Image Anal., (2021)

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Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

QoS-aware energy-efficient power control in two-tier femtocell networks based on Q-learning.Z. Zhang, X. Wen, Z. Li, S. He, W. Jing, and J. Zhao. ICT, page 313-317. IEEE, (2014)Network MIMO with decision tree classification in downlink OFDMA networks.L. Zhang, S. He, X. Wen, W. Zheng, J. Zhao, and Z. Hu. ICT, page 22-26. IEEE, (2014)Deep learning-based multi-class COVID-19 classification with x-ray images.Z. Fan, S. He, S. Ruan, X. Wang, and H. Li. Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression.S. He, K. Minn, L. Solnica-Krezel, H. Li, and M. Anastasio. Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 1095604. SPIE, (2019)Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers.Y. Tang, N. Zhang, Y. Wang, S. He, M. Han, J. Xiao, and R. Lin. MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 535-544. Springer, (2022)Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images.S. He, J. Zheng, A. Maehara, G. Mintz, D. Tang, M. Anastasio, and H. Li. Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057432. SPIE, (2018)Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks.J. Zhao, Z. Lu, X. Wen, H. Zhang, S. He, and W. Jing. IJDSN, (2015)Automatic microscopic cell counting by use of deeply-supervised density regression model.S. He, K. Minn, L. Solnica-Krezel, M. Anastasio, and H. Li. Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560L. SPIE, (2019)Coordinated Scheduling in Downlink Multi-Cell OFDMA Networks.L. Zhang, X. Wen, T. Xu, Z. Lu, J. Zhao, and S. He. VTC Fall, page 1-5. IEEE, (2014)Learning numerical observers using unsupervised domain adaptation.S. He, W. Zhou, H. Li, and M. Anastasio. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160W. SPIE, (2020)

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Disambiguation of "He, Shenghua"

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Deeply-supervised density regression for automatic cell counting in microscopy images.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Shenghua"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deeply-supervised density regression for automatic cell counting in microscopy images.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Deeply-supervised density regression for automatic cell counting in microscopy images.