A research team led by Prof. CHEN Cheng from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has successfully retrieved global aerosol and surface properties using advanced polarization data from China' s GF-5(02) satellite.
A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised medical image segmentation method recently.
A research team from the Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with the Second Affiliated Hospital of Zhejiang University, has developed a highly accurate blood-based biomarker panel for distinguishing invasive from non-invasive pituitary adenomas.
A research team led by Dr. SHI Hailiang at the Anhui Institute of Optics and Fine Mechanics (AIOFM), Chinese Academy of Sciences, has developed a novel infrared imaging payload and AI-based retrieval framework capable of detecting carbon dioxide (CO₂) and methane (CH₄) emissions from space at a spatial resolution of approximately 100 meters. The system addresses key challenges in complex surface backgrounds and weak emission plume segmentation, enabling high-accuracy identification and quantification of point source greenhouse gas emissions.
Recently, a research group led by Prof. LI Hai from the Hefei Institutes of Physical Science (HFIPS), Chinese Academy of Sciences (CAS), developed a multimodal deep-learning model for predicting the malignancy of TI-RADS 4 high-risk characteristics thyroid nodules.