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Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.

J. Valanarasu, Y. Tang, D. Yang, Z. Xu, C. Zhao, W. Li, V. Patel, B. Landman, D. Xu, Y. He, and V. Nath. CoRR, (2023)

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Yucheng Feng

Yucheng Jie

Tang Tang

Jian Tang

Fei Tang

Other publications of authors with the same name

Time-distanced gates in long short-term memory networks.R. Gao, Y. Tang, K. Xu, Y. Huo, S. Bao, S. Antic, E. Epstein, S. Deppen, A. Paulson, K. Sandler and 2 other author(s). Medical Image Anal., (2020)Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT.R. Gao, M. Khan, Y. Tang, K. Xu, S. Deppen, Y. Huo, K. Sandler, P. Massion, and B. Landman. CoRR, (2021)RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior.H. Lee, Y. Tang, S. Bao, R. Abramson, Y. Huo, and B. Landman. CoRR, (2020)Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.Y. Tang, R. Gao, H. Lee, Q. Wells, A. Spann, J. Terry, J. Carr, Y. Huo, S. Bao, and B. Landman. ML-CDS/CLIP@MICCAI, volume 12445 of Lecture Notes in Computer Science, page 13-23. Springer, (2020)MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.S. Bao, J. Li, C. Cui, Y. Tang, R. Deng, L. Remedios, H. Lee, S. Chiron, N. Patterson, K. Lau and 6 other author(s). MOVI@MICCAI, volume 13578 of Lecture Notes in Computer Science, page 42-52. Springer, (2022)Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning.R. Deng, Y. Li, P. Li, J. Wang, L. Remedios, S. Agzamkhodjaev, Z. Asad, Q. Liu, C. Cui, Y. Wang and 4 other author(s). MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 497-507. Springer, (2023)HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization.Y. Tang, Y. He, V. Nath, P. Guo, R. Deng, T. Yao, Q. Liu, C. Cui, M. Yin, Z. Xu and 4 other author(s). CoRR, (2024)CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.J. Liu, Y. Zhang, J. Chen, J. Xiao, Y. Lu, B. Landman, Y. Yuan, A. Yuille, Y. Tang, and Z. Zhou. CoRR, (2023)Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.R. Deng, C. Cui, Q. Liu, T. Yao, L. Remedios, S. Bao, B. Landman, L. Wheless, L. Coburn, K. Wilson and 6 other author(s). CoRR, (2023)Validation and optimization of multi-organ segmentation on clinical imaging archives.O. Tang, Y. Xu, Y. Tang, H. Lee, Y. Chen, D. Gao, S. Han, R. Gao, M. Savona, R. Abramson and 2 other author(s). Image Processing, volume 11313 of SPIE Proceedings, page 113132O. SPIE, (2020)

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Disambiguation of "Tang, Yucheng"

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Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.

Please choose a person to relate this publication to

Yucheng Feng

Yucheng Jie

Tang Tang

Jian Tang

Fei Tang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tang, Yucheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.

Please choose a person to relate this publication to

Yucheng Feng

Yucheng Jie

Tang Tang

Jian Tang

Fei Tang

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
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Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.