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Mil-Cand: An Improved Framework for Computer Aided Nodule Detection Based on Multiple Instance Learning.

S. An, J. Feng, Z. Li, Y. Han, Q. Wang, and X. He. CCPR, volume 321 of Communications in Computer and Information Science, page 413-421. Springer, (2012)

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Ye Feng University of Stuttgart

Jun Chen University of Stuttgart

Dr. Jun Chen University of Stuttgart

Mathias Jung University of Stuttgart

Qi Feng

Other publications of authors with the same name

Analysis and design of a V-band low-noise amplifier in 90 nm CMOS for 60 GHz applications.Z. Yu, J. Feng, Y. Guo, and Z. Li. IEICE Electronic Express, 12 (1): 20141097 (2015)Improved partition method for tracking moving objects in road networks.J. Feng, J. Lu, Y. Zhu, and T. Watanabe. IJAIP, 1 (2): 139-150 (2008)A Car Type Recognition Algorithm with Traffic Image based on Structure Features.B. Liu, J. Feng, H. Chen, and C. Zhang. ChineseCSCW, page 181-184. ACM, (2017)A Secure High-Order Lanczos-Based Orthogonal Tensor SVD for Big Data Reduction in Cloud Environment.J. Feng, L. Yang, G. Dai, W. Wang, and D. Zou. IEEE Trans. Big Data, 5 (3): 355-367 (2019)A protein mapping method based on physicochemical properties and dimension reduction.Z. Qi, M. Jin, S. Li, and J. Feng. Comp. in Bio. and Med., (2015)Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm.G. Wen, C. Chen, J. Feng, and N. Zhou. IEEE Trans. Fuzzy Systems, 26 (5): 2719-2731 (2018)Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss.X. Sun, K. Dong, L. Ma, R. Sutcliffe, F. He, S. Chen, and J. Feng. Entropy, 21 (1): 37 (2019)D-DOG: Securing Sensitive Data in Distributed Storage Space by Data Division and Out-Of-Order Keystream Generation.J. Feng, Y. Chen, W. Ku, and Z. Su. ICC, page 1-6. IEEE, (2010)Computer Aided Detection for breast calcification clusters based on improved instance selection and an adaptive neuro-fuzzy network.X. Wang, J. Feng, Y. lin Li, Z. Li, and Q. Wang. FSKD, page 184-189. IEEE, (2013)SiftKeyPre: A Vehicle Recognition Method Based on SIFT Key-Points Preference in Car-Face Image.C. Zhang, X. Wang, J. Feng, and Y. Cheng. CCCV (2), volume 547 of Communications in Computer and Information Science, page 344-358. Springer, (2015)