Research output per year
Research output per year
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Dive into the research topics where Sheng Kuang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts
Salahuddin, Z., Kuang, S., Lambin, P. & Woodruff, H. C., 1 Jan 2024, Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Proceedings. Heller, N., Wood, A., Weight, C., Isensee, F., Rädsch, T., Teipaul, R. & Papanikolopoulos, N. (eds.). Springer Verlag, Vol. 14540 LNCS. p. 40-46 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14540 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets
Kuang, S., Woodruff, H. C., Granzier, R., van Nijnatten, T. J. A., Lobbes, M. B. I., Smidt, M. L., Lambin, P. & Mehrkanoon, S., 1 Aug 2023, In: Neural Networks. 165, 1, p. 119-134 16 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access