Ke Yan is a researcher affiliated with the University of Sydney in Australia, specializing in computer science with a focus on computer vision and pattern recognition. Their work encompasses various subfields including radiology, nuclear medicine and imaging, cognitive neuroscience, sensory systems, and archeology.
Their research topics cover several advanced areas such as visual attention and saliency detection, advanced neural network applications, and advanced image and video retrieval techniques. Ke Yan has also contributed to medical image segmentation techniques, COVID-19 diagnosis using AI, face recognition and perception, and olfactory and sensory function studies.
Ke Yan has authored multiple papers published in respected venues. Notable recent publications include:
Frequent co-authors collaborating with Ke Yan include:
Publishing venues where Ke Yan's work has appeared regularly are:
Ke Yan's research contributions predominantly advance the understanding and application of neural networks within visual attention frameworks and medical imaging. Their interdisciplinary focus integrates elements of sensory neuroscience, computer vision, and medical diagnostics to address complex image analysis challenges.
Huijuan Lu;Junying Chen;Ke Yan;Qun Jin
Bi Yu Chen;Hui Yuan;Qingquan Li;William H. K. Lam
Ke Yan;Wei Li;Zhiwei Ji;Meng Qi
Fan Yang;Ke Yan;Shijian Lu;Huizhu Jia
Ke Yan;Zhiwei Ji;Wen Shen
Ke Yan;Yonghong Tian;Yaowei Wang;Wei Zeng
Chunwei Tian;Yong Xu;Lunke Fei;Ke Yan
Ke Yan;Yaowei Wang;Dawei Liang;Tiejun Huang
Chen Bi-Yu;William H. K. Lam;Qingquan Li;Agachai Sumalee
Jinzheng Cai;Youbao Tang;Le Lu;Adam P. Harrison
You-Bao Tang;Ke Yan;Yu-Xing Tang;Jiamin Liu
Huijuan Lu;Lei Yang;Ke Yan;Yu Xue
Ke Yan;Hengle Shen;Lei Wang;Huiming Zhou
Ke Yan;Yifan Peng;Veit Sandfort;Mohammadhadi Bagheri
Yupeng Xu;Ke Yan;Jinman Kim;Xiuying Wang
Min Hu;Min Hu;Xiaowei Feng;Xiaowei Feng;Zhiwei Ji;Ke Yan
Ke Yan;David Zhang
Xiuhui Wang;Jun Wang;Ke Yan
Min Hu;Wei Li;Ke Yan;Zhiwei Ji;Zhiwei Ji
Ke Yan;Yong Xu;Xiaozhao Fang;Chunhou Zheng
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