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Pancreatic malformations as seen in congenital syndromes - Developmental perspective with an alternative view.

J. Li, Y. Teng, S. Qi, D. Xiao, L. Xu, Y. Kang, and J. Li-Ling. ICIA, page 702-706. IEEE, (2016)

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Qi Qi

Qi Li

Fei Qi

Qi Xu

Qi Wang

Other publications of authors with the same name

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification.D. Xue, X. Zhou, C. Li, Y. Yao, M. Rahaman, J. Zhang, H. Chen, J. Zhang, S. Qi, and H. Sun. IEEE Access, (2020)An attention-based deep learning network for predicting Platinum resistance in ovarian cancer.H. Zhuang, B. Li, J. Ma, P. Monkam, S. Qi, W. Qian, and D. He. CoRR, (2023)Two graph-regularized fuzzy subspace clustering methods.Y. Teng, S. Qi, F. Han, L. Xu, Y. Yao, and W. Qian. Appl. Soft Comput., (2021)A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks.C. Li, N. Xu, T. Jiang, S. Qi, F. Han, W. Qian, and X. Zhao. ITIB, volume 762 of Advances in Intelligent Systems and Computing, page 3-14. Springer, (2018)A Robust Gray-code Pattern Decoding Method for 3D Scanning with Structured Light.Z. Cui, K. Nie, S. Qi, C. Hou, and W. Chen. ICCVIT, page 9:1-9:5. ACM, (2023)Fine-grained lung nodule segmentation with pyramid deconvolutional neural network.X. Zhao, W. Sun, W. Qian, S. Qi, J. Sun, B. Zhang, and Z. Yang. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503S. SPIE, (2019)Breast Tumor Segmentation in Ultrasound Images Based on U-NET Model.E. Michael, H. Ma, and S. Qi. ICR, volume 1431 of Advances in Intelligent Systems and Computing, page 22-31. Springer, (2022)Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields.C. Li, H. Chen, D. Xue, Z. Hu, L. Zhang, L. He, N. Xu, S. Qi, H. Ma, and H. Sun. ITIB, volume 1011 of Advances in Intelligent Systems and Computing, page 209-221. Springer, (2019)Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features.F. Han, L. Yan, C. Li, S. Qi, W. Moore, Z. Liang, and W. Qian. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503Q. SPIE, (2019)FPT-Former: A Flexible Parallel Transformer of Recognizing Depression by Using Audiovisual Expert-Knowledge-Based Multimodal Measures.Y. Li, X. Yang, M. Zhao, Z. Wang, Y. Yao, W. Qian, and S. Qi. Int. J. Intell. Syst., (2024)

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Disambiguation of "Qi, Shouliang"

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Pancreatic malformations as seen in congenital syndromes - Developmental perspective with an alternative view.

Please choose a person to relate this publication to

Qi Qi

Qi Li

Fei Qi

Qi Xu

Qi Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Qi, Shouliang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Pancreatic malformations as seen in congenital syndromes - Developmental perspective with an alternative view.

Please choose a person to relate this publication to

Qi Qi

Qi Li

Fei Qi

Qi Xu

Qi Wang

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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Pancreatic malformations as seen in congenital syndromes - Developmental perspective with an alternative view.