Focus on remote health monitoring: three papers of the Macao Polytechnic team published in international journals
Recently, Sunyue, a lecturer at the school of Applied Sciences at the Macau Polytechnic University, led the research team (doctoral students kevinyang and chenzhengxuan) to make breakthroughs in the field of remote physiological signal extraction and physiological monitoring technology. Three high-level academic papers were published in the internationally renowned journals IEEE Journal of biomedical and health informatics (j-bhi) (impact factor 7.1) and IEEE Transactions on consumer electronics (TCE) (impact factor 4.3), respectively, marking that the team's research achievements in this field have been highly recognized by the international academic community, injecting strong impetus into the development of remote biological monitoring technology.
Unified multimodal medical image sequence conversion to achieve zero sample domain adaptation.
On August 11, 2025, Tan Tao team of the Macao Polytechnic University and ritse Mann team of the medical center of the University of nemegen in the Netherlands published a research paper entitled "all in one medical image to image translation" in cell reports methods, a journal of cell press. This study proposes an eva-i2i framework driven by contrast language image pre training (dclip) with DICOM semantic tags, which can realize image conversion between different modes in a single model, and has the potential of zero sample domain adaptation, and can be directly deployed to clinical tasks without fine-tuning.
