Reduce False-Positive Rate by Active Learning for Automatic Polyp Detection in Colonoscopy Videos. - Zhe Guo; Ruiyao Zhang; Qin Li; Xinkai Liu; Daiki Nemoto; Kazutomo Togashi; S. M. Isuru Niroshana; Yuchen Shi; Xin Zhu 001 (ISBI, 2020)

Large-Scale Crop Mapping From Multisource Remote Sensing Images in Google Earth Engine. - Xinkai Liu; Han Zhai; Yonglin Shen; Benke Lou; Changmin Jiang; Tianqi Li; Sayed Bilal Hussain; Guoling Shen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A method for reconstructing NDVI time-series based on envelope detection and the Savitzky-Golay filter. - Xinkai Liu; Lingyun Ji; Chen Zhang; Yanhui Liu (Int. J. Digit. Earth, 2022)

The 8 January 2022, Menyuan Earthquake in Qinghai, China: A Representative Event in the Qilian-Haiyuan Fault Zone Observed Using Sentinel-1 SAR Images. - Liangyu Zhu; Lingyun Ji; Chuanjin Liu; Jing Xu; Xinkai Liu; Lei Liu; Qiang Zhao (Remote. Sens., 2022)

Semi-supervised Contrast Learning in Renal Pathological Image Classification. - Xinkai Liu; Xingjian Tian; Xin Zhu; Tsuyoshi Iwasaki; Atsuya Sato; Junichiro James Kazama (iCAST, 2023)

Performance and Domain Adaptability of Object Detection Algorithms in Processed Colonoscopy Videos. - Ruiyao Zhang; Naohisa Yoshida; Osamu Dohi; Xingjian Tian; Xinkai Liu; Xin Zhu (iCAST, 2023)

Incremental Learning with Pseudo Labels for Enhanced Glomeruli Segmentation Using SAM. - Xinkai Liu; Boyuan Peng; Xin Zhu 001; Tsuyoshi Iwasaki; Atsuya Sato; Junichiro James Kazama; Jie Huang (HealthCom, 2024)

ARBS-YOLOv8 for Annotation Box Detection in Colonoscopy CADe Systems. - Ruiyao Zhang; Naohisa Yoshida; Osamu Dohi; Boyuan Peng; Xinkai Liu; Jie Huang; Xin Zhu (HealthCom, 2024)

Diffusion-based Generative Multicasting with Intent-aware Semantic Decomposition. - Xinkai Liu; Mahdi Boloursaz Mashhadi; Li Qiao 001; Yi Ma 002; Rahim Tafazolli; Mehdi Bennis (CoRR, 2024)

Reconstruction of Daily MODIS 250-m Two-Band Enhanced Vegetation Index Time Series Using Gaussian Process Regression. - Xinkai Liu; Song Hao; Zhen Li; Yu Wang; Ka Lok Chan 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)