By Professor Changming Sun

Preprints

Jin Q; Huang J; Sun C; Cui H; Xuan P; Su R; Wei L; Wu Y-J; Wu C-A; Duh HBL; Lu Y-H, 2024, Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones, http://dx.doi.org/10.48550/arxiv.2407.00431

Jin Q; Cui H; Sun C; Song Y; Zheng J; Cao L; Wei L; Su R, 2024, Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation, http://dx.doi.org/10.48550/arxiv.2403.12767

Rahman S; Koniusz P; Wang L; Zhou L; Moghadam P; Sun C, 2023, Learning Partial Correlation based Deep Visual Representation for Image Classification, http://dx.doi.org/10.48550/arxiv.2304.11597

Liu T; Su R; Sun C; Li X; Wei L, 2022, EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images, http://dx.doi.org/10.48550/arxiv.2210.05258

Jin Q; Cui H; Sun C; Meng Z; Wei L; Su R, 2021, Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images, http://dx.doi.org/10.48550/arxiv.2104.09699

Jin Q; Cui H; Sun C; Meng Z; Su R, 2021, Free-form tumor synthesis in computed tomography images via richer generative adversarial network, http://dx.doi.org/10.48550/arxiv.2104.09701

Zhang M; Gao Y; Sun C; Blumenstein M, 2020, Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy, http://dx.doi.org/10.48550/arxiv.2005.04605

Rahman S; Wang L; Sun C; Zhou L, 2019, Deep Learning based HEp-2 Image Classification: A Comprehensive Review, http://dx.doi.org/10.48550/arxiv.1911.08916

Jin Q; Meng Z; Sun C; Wei L; Su R, 2018, RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans, http://dx.doi.org/10.48550/arxiv.1811.01328

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