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Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.

Z. Li, K. Kamnitsas, M. Islam, C. Chen, and B. Glocker. MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 693-703. Springer, (2022)

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Li Li

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DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution.Z. Li, J. Yu, Y. Wang, H. Zhou, H. Yang, and Z. Qiao. IEEE Trans. Cybern., 51 (7): 3441-3454 (2021)Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.C. Ouyang, C. Chen, S. Li, Z. Li, C. Qin, W. Bai, and D. Rueckert. IEEE Trans. Medical Imaging, 42 (4): 1095-1106 (April 2023)Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula.Z. Li, L. Cheng, C. Zhang, X. Zhu, and H. Zhao. ICALT, page 359-363. IEEE, (2023)Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.C. Ouyang, S. Wang, C. Chen, Z. Li, W. Bai, B. Kainz, and D. Rueckert. UNSURE@MICCAI, volume 13563 of Lecture Notes in Computer Science, page 59-69. Springer, (2022)Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.A. Hering, L. Hansen, T. Mok, A. Chung, H. Siebert, S. Häger, A. Lange, S. Kuckertz, S. Heldmann, W. Shao and 43 other author(s). IEEE Trans. Medical Imaging, 42 (3): 697-712 (March 2023)Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation.Z. Li, K. Kamnitsas, and B. Glocker. CoRR, (2021)Super-Resolution Reconstruction of Plane-Wave Ultrasound Image Based on a Multi-Angle Parallel U-Net with Maxout Unit and Novel Loss Function.Z. Zhou, Y. Wang, J. Yu, W. Guo, and Z. Li. J. Medical Imaging Health Informatics, 9 (1): 109-118 (2019)Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation.Z. Li, K. Kamnitsas, and B. Glocker. MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 402-410. Springer, (2019)MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.C. Chen, Z. Li, C. Ouyang, M. Sinclair, W. Bai, and D. Rueckert. MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 151-161. Springer, (2022)Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.L. Li, Q. Ma, Z. Li, C. Ouyang, W. Zhang, A. Price, V. Kyriakopoulou, L. Cordero-Grande, A. Makropoulos, J. Hajnal and 3 other author(s). EPIMI/ML-CDS@MICCAI, volume 13755 of Lecture Notes in Computer Science, page 123-133. Springer, (2022)

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Disambiguation of "Li, Zeju"

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Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Zeju"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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URL
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Chicago
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Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.