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Style-Invariant Cardiac Image Segmentation with Test-Time Augmentation.

X. Huang, Z. Chen, X. Yang, Z. Liu, Y. Zou, M. Luo, W. Xue, и D. Ni. M&Ms and EMIDEC/STACOM@MICCAI, том 12592 из Lecture Notes in Computer Science, стр. 305-315. Springer, (2020)

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Ying Ni

Pedestrian safety at urban signalised intersectionsY. Ni. TU Darmstadt, (2009)

Yi Ni

Ji Ni

Xiaoju Ni

Shaoji Ni

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Unsupervised 3D End-to-end Deformable Network for Brain MRI Registration.Z. Zhu, Y. Cao, C. Qin, Y. Rao, D. Ni, и Y. Wang. EMBC, стр. 1355-1359. IEEE, (2020)Segmenting overlapping cervical cell in Pap smear images.Y. Song, J. Cheng, D. Ni, S. Chen, B. Lei, и T. Wang. ISBI, стр. 1159-1162. IEEE, (2016)Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer.H. Chen, D. Ni, X. Yang, S. Li, и P. Heng. MLMI, том 8679 из Lecture Notes in Computer Science, стр. 125-132. Springer, (2014)Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network.J. Yu, C. Chen, X. Yang, Y. Wang, D. Yan, J. Zhang, и D. Ni. MICCAI (6), том 12266 из Lecture Notes in Computer Science, стр. 181-189. Springer, (2020)Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences.Z. Chen, W. Zhuo, T. Wang, W. Xue, и D. Ni. CoRR, (2021)A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.H. Dou, D. Karimi, C. Rollins, C. Ortinau, L. Vasung, C. Velasco-Annis, A. Ouaalam, X. Yang, D. Ni, и A. Gholipour. CoRR, (2020)Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.Z. Yu, X. Jiang, F. Zhou, J. Qin, D. Ni, S. Chen, B. Lei, и T. Wang. IEEE Trans. Biomed. Eng., 66 (4): 1006-1016 (2019)AutoPath: Image-Specific Inference for 3D Segmentation.D. Sun, Y. Wang, D. Ni, и T. Wang. Frontiers Neurorobotics, (2020)Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition.C. Lin, Y. Wang, T. Wang, и D. Ni. ISBI, стр. 1878-1881. IEEE, (2019)Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters.D. Ni, Y. Yang, S. Li, J. Qin, S. Ouyang, T. Wang, и P. Heng. ISBI, стр. 772-775. IEEE, (2013)

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