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Graph-based prostate extraction in T2-weighted images for prostate cancer detection., , , and . FSKD, page 1225-1229. IEEE, (2015)Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation., , , , , and . IEEE Trans. Medical Imaging, 40 (1): 431-443 (2021)Visible-infrared cross-modality person re-identification based on whole-individual training., , , , , and . Neurocomputing, (2021)A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701H. SPIE, (2013)Deep semi-supervised learning with weight map for review helpfulness prediction., , , , , and . Comput. Sci. Inf. Syst., 18 (4): 1159-1174 (2021)Correction to: Breast cancer classification in pathological images based on hybrid features., , , , , and . Multim. Tools Appl., 78 (15): 21347 (2019)Visible-infrared person re-identification model based on feature consistency and modal indistinguishability., , , , and . Mach. Vis. Appl., 34 (1): 14 (2023)Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization Learning., , , , and . IEEE Trans. Image Process., (2021)A Novel Network Based on Densely Connected Fully Convolutional Networks for Segmentation of Lung Tumors on Multi-Modal MR Images., , , and . AIAM (ACM), page 69:1-69:5. ACM, (2019)Unpaired multi-modal tumor segmentation with structure adaptation., , , and . Appl. Intell., 53 (4): 3639-3651 (February 2023)