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Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study.

A. de Sitter, M. Steenwijk, A. Ruet, A. Versteeg, Y. Liu, R. van Schijndel, P. Pouwels, I. Kilsdonk, K. Cover, B. van Dijk, S. Ropele, M. Rocca, M. Yiannakas, M. Wattjes, S. Damangir, G. Frisoni, J. Sastre-Garriga, A. Rovira, C. Enzinger, M. Filippi, J. Frederiksen, O. Ciccarelli, L. Kappos, F. Barkhof, and H. Vrenken. NeuroImage, (2017)

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Liu Liu

Dongmei Liu

Yinghao Liu

Other publications of authors with the same name

Benefits of Linear Conditioning for Segmentation using Metadata.A. Lemay, C. Gros, O. Vincent, Y. Liu, J. Cohen, and J. Cohen-Adad. MIDL, volume 143 of Proceedings of Machine Learning Research, page 416-430. PMLR, (2021)Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis.Z. Zhang, Y. Zhao, J. Duan, Y. Liu, H. Zheng, D. Liang, Z. Zhang, and Z. Li. CoRR, (2024)Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study.A. de Sitter, M. Steenwijk, A. Ruet, A. Versteeg, Y. Liu, R. van Schijndel, P. Pouwels, I. Kilsdonk, K. Cover, B. van Dijk and 15 other author(s). NeuroImage, (2017)Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System".Y. Duan, W. Shan, L. Liu, Q. Wang, Z. Wu, P. Liu, J. Ji, Y. Liu, K. He, and Y. Wang. Frontiers Neuroinformatics, (2020)Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturersJ. Cohen-Adad, E. Alonso-Ortiz, M. Abramovic, C. Arneitz, N. Atcheson, L. Barlow, R. Barry, M. Barth, M. Battiston, C. Büchel and 81 other author(s). Scientific Data, (August 2021)A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts.X. Zhang, N. Ou, B. Basaran, M. Visentin, M. Qiao, R. Gu, C. Ouyang, Y. Liu, P. Matthews, C. Ye and 1 other author(s). CoRR, (2024)Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations.Z. Zhao, F. Pang, Y. Liu, Z. Liu, and C. Ye. CoRR, (2023)One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation.W. Liu, Q. Lu, Z. Zhuo, Y. Liu, and C. Ye. MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 133-142. Springer, (2022)Generic acquisition protocol for quantitative MRI of the spinal cordJ. Cohen-Adad, E. Alonso-Ortiz, M. Abramovic, C. Arneitz, N. Atcheson, L. Barlow, R. Barry, M. Barth, M. Battiston, C. Büchel and 81 other author(s). Nature Protocols, 16 (10): 4611-4632 (August 2021)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.C. Gros, B. Leener, A. Badji, J. Maranzano, D. Eden, S. Dupont, J. Talbott, R. Zhuoquiong, Y. Liu, T. Granberg and 42 other author(s). CoRR, (2018)

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Disambiguation of "Liu, Yaou"

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Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Dongmei Liu

Yinghao Liu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liu, Yaou"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Dongmei Liu

Yinghao Liu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study.