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Integrate memory efficiency methods for self-supervised learning on pathological image analysis.

Q. Liu, B. Millis, Z. Asad, C. Cui, W. Dean, I. Smith, C. Madden, J. Roland, J. Zwerner, S. Zhao, L. Wheless, and Y. Huo. Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)

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Joseph T Lizier

T Peters

T Frieberg

T Masselink

T Attin

Other publications of authors with the same name

Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.C. Cui, Z. Asad, W. Dean, I. Smith, C. Madden, S. Bao, B. Landman, J. Roland, L. Coburn, K. Wilson and 4 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)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)CircleNet: Anchor-free Detection with Circle Representation.H. Yang, R. Deng, Y. Lu, Z. Zhu, Y. Chen, J. Roland, L. Lu, B. Landman, A. Fogo, and Y. Huo. CoRR, (2020)Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.R. Deng, C. Cui, L. Remedios, S. Bao, R. Womick, S. Chiron, J. Li, J. Roland, K. Lau, Q. Liu and 5 other author(s). MMMI@MICCAI, volume 13594 of Lecture Notes in Computer Science, page 24-33. Springer, (2022)Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images.C. Harris, E. McKinley, J. Roland, Q. Liu, M. Shrubsole, K. Lau, R. Coffey, J. Wrobel, and S. Vandekar. Bioinform., 38 (6): 1700-1707 (2022)Circle Representation for Medical Object Detection.E. Nguyen, H. Yang, R. Deng, Y. Lu, Z. Zhu, J. Roland, L. Lu, B. Landman, A. Fogo, and Y. Huo. CoRR, (2021)Circle Representation for Medical Object Detection.E. Nguyen, H. Yang, R. Deng, Y. Lu, Z. Zhu, J. Roland, L. Lu, B. Landman, A. Fogo, and Y. Huo. IEEE Trans. Medical Imaging, 41 (3): 746-754 (2022)SimTriplet: Simple Triplet Representation Learning with a Single GPU.Q. Liu, P. Louis, Y. Lu, A. Jha, M. Zhao, R. Deng, T. Yao, J. Roland, H. Yang, S. Zhao and 2 other author(s). MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 102-112. Springer, (2021)Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.C. Cui, Y. Wang, S. Bao, Y. Tang, R. Deng, L. Remedios, Z. Asad, J. Roland, K. Lau, Q. Liu and 4 other author(s). MILLanD@MICCAI, volume 14307 of Lecture Notes in Computer Science, page 82-92. Springer, (2023)Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.S. Bao, S. Zhu, V. Kolachala, L. Remedios, Y. Hwang, Y. Sun, R. Deng, C. Cui, Y. Li, J. Li and 9 other author(s). CoRR, (2023)

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Disambiguation of "Roland, Joseph T."

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Integrate memory efficiency methods for self-supervised learning on pathological image analysis.

Please choose a person to relate this publication to

Joseph T Lizier

T Peters

T Frieberg

T Masselink

T Attin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Roland, Joseph T."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Integrate memory efficiency methods for self-supervised learning on pathological image analysis.

Please choose a person to relate this publication to

Joseph T Lizier

T Peters

T Frieberg

T Masselink

T Attin

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Integrate memory efficiency methods for self-supervised learning on pathological image analysis.