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| 1 | D-Dimer test in cancer patients with suspected acute pulmonary embolism显示文摘 | Di Nisio M Sohne M Kamphuisen PW | | 0，，6： | 1 |
| 2 | Juvenile rheumatoid arthritis and bronchiolitis obliterans organized pneumonia显示文摘 | Sohn DI Laborde HA Bellotti M | 2007 | Clin Rheumatol2007，26，2： | 1 |
| 3 | D-Dimer test in cancer patients with suspected acute pulmonary embolism显示文摘 | Di Nisio M Sohne M Kamphuisen PW Buller HR | 2005 | J Thromb Haemost2005，3，： | 1 |
| 4 | A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image显示文摘Cloud Masking is one of the most essential products for satellite remote sensing and downstream applications.This study develops machine learning-based(ML-based)cloud detection algorithms using spectral observations for the Advanced Himawari Imager(AHI)onboard the Himawari-8 geostationary satellite.Collocated active observations from Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP)are used to provide reference labels for model development and validation.We introduce both daytime and nighttime algorithms that differ according to whether solar band observations are included,and the artificial neural network(ANN)and random forest(RF)techniques are adopted for comparison.To eliminate the influences of surface conditions on cloud detection,we introduce three models with different treatments of the surface.Instead of developing independent ML-based algorithms,we add surface variables in a binary way that enhances the ML-based algorithm accuracy by~5%.Validated against CALIOP observations,we find that our daytime RF-based algorithm outperforms the AHI operational algorithm by improving the accuracy of cloudy pixel detection by~5%,while at the same time,reducing misjudgment by~3%.The nighttime model with only infrared observations is also slightly better than the AHI operational product but may tend to overestimate cloudy pixels.Overall,our ML-based algorithms can serve as a reliable method to provide cloud mask results for both daytime and nighttime AHI observations.We furthermore suggest treating the surface with a set of independent variables for future ML-based algorithm development. | Chao LIU Shu YANG Di DI Yuanjian YANG Chen ZHOU Xiuqing HU Byung-Ju SOHN | 2022 | Advances in Atmospheric Sciences2022，39，12： | 1 |
| 5 | The first human case of Trichinella spiralis infection in Korea 显示文摘 | Sohn WM Kim HM Chung DI | 2000 | Korean J Parasitol2000，38，2： | 1 |
| 6 | The first human case of Trichinella spiralis infection in Korea 显示文摘 | Sohn WM Kim HM Chung DI | 2000 | Korean J Parasitol2000，38，： | 1 |
| 7 | The first human case of Trichinella spirolis infection in Korea 显示文摘 | Sohn WM Kim HM Chung DI et ol | 2000 | Korean J Parasitol2000，38，2： | 1 |
| 8 | Bone marrow edema syndrome of the hip: analysis of 10 cases 显示文摘 | Cavallasca JA Borgia AR Sohn DI | 2014 | Int J Rheum Dis2014，17，5： | 1 |
| 9 | Juvenile rheumatoid ar- thritis and bronchiolitis obliterans organized pneumonia 显示文摘 | Sohn DI Laborde HA Bellotti M | 2007 | Clin Rheumatol2007，26，2： | 1 |
| 10 | A Multi-Domain Compression Radiative Transfer Model for the Fengyun-4 Geosynchronous Interferometric Infrared Sounder (GIIRS)显示文摘Forward radiative transfer(RT)models are essential for atmospheric applications such as remote sensing and weather and climate models,where computational efficiency becomes equally as important as accuracy for high-resolution hyperspectral measurements that need rigorous RT simulations for thousands of channels.This study introduces a fast and accurate RT model for the hyperspectral infrared(HIR)sounder based on principal component analysis(PCA)or machine learning(i.e.,neural network,NN).The Geosynchronous Interferometric Infrared Sounder(GIIRS),the first HIR sounder onboard the geostationary Fengyun-4 satellites,is considered to be a candidate example for model development and validation.Our method uses either PCA or NN(PCA/NN)twice for the atmospheric transmittance and radiance,respectively,to reduce the number of independent but similar simulations to accelerate RT simulations;thereby,it is referred to as a multi-domain compression model.The first PCA/NN gives monochromatic gas transmittance in both spectral and atmospheric pressure domains for each gas independently.The second PCA/NN is performed in the traditional spectral radiance domain.Meanwhile,a new method is introduced to choose representative variables for the PCA/NN scheme developments.The model is three orders of magnitude faster than the standard line-by-line-based simulations with averaged brightness temperature difference(BTD)less than 0.1 K,and the compressions based on PCA or NN methods result in comparable efficiency and accuracy.Our fast model not only avoids an excessively complicated transmittance scheme by using PCA/NN but is also highly flexible for hyperspectral instruments with similar spectral ranges simply by updating the corresponding spectral response functions. | Mingyue SU Chao LIU Di DI Tianhao LE Yujia SUN Jun LI Feng LU Peng ZHANG Byung-Ju SOHN | 2023 | Advances in Atmospheric Sciences2023，40，10： | 0 |
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