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Anatomical context protects deep learning from adversarial perturbations in medical imaging.

Y. Li, H. Zhang, C. Bermudez, Y. Chen, B. Landman, and Y. Vorobeychik. Neurocomputing, (2020)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Yan Zhang

Gang Zhang

Other publications of authors with the same name

Anatomical context protects deep learning from adversarial perturbations in medical imaging.Y. Li, H. Zhang, C. Bermudez, Y. Chen, B. Landman, and Y. Vorobeychik. Neurocomputing, (2020)Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices.H. Zhang, A. Valcarcel, R. Bakshi, R. Chu, F. Bagnato, R. Shinohara, K. Hett, and I. Oguz. MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 338-346. Springer, (2019)MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs.H. Li, H. Zhang, H. Johnson, J. Long, J. Paulsen, and I. Oguz. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Unsupervised Cross-modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble.H. Li, D. Hu, Q. Zhu, K. Larson, H. Zhang, and I. Oguz. BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 518-528. Springer, (2021)ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities.H. Liu, Y. Fan, H. Li, J. Wang, D. Hu, C. Cui, H. Lee, H. Zhang, and I. Oguz. MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 444-453. Springer, (2022)Generalizing MRI Subcortical Segmentation to Neurodegeneration.H. Li, H. Zhang, D. Hu, H. Johnson, J. Long, J. Paulsen, and I. Oguz. MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 139-147. Springer, (2020)Longitudinal subcortical segmentation with deep learning.H. Li, H. Zhang, H. Johnson, J. Long, J. Paulsen, and I. Oguz. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)A novel transcutaneous NFC uplink system symbiotic with inductive wireless power supply under ultra low coupling coefficient.C. Gong, D. Liu, Z. Miao, and H. Zhang. BioCAS, page 1-4. IEEE, (2015)Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods.H. Zhang, and I. Oguz. BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 11-29. Springer, (2020)Domain generalization for robust MS lesion segmentation.H. Zhang, H. Li, K. Larson, K. Hett, and I. Oguz. Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)

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Disambiguation of "Zhang, Huahong"

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Anatomical context protects deep learning from adversarial perturbations in medical imaging.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Yan Zhang

Gang Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Huahong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Anatomical context protects deep learning from adversarial perturbations in medical imaging.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Yan Zhang

Gang Zhang

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Anatomical context protects deep learning from adversarial perturbations in medical imaging.