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Shang Lou

Showing results (1-10 of 18) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|February 3, 2026
Efficient semantic segmentation via logit-guided feature distillationXuyi Yu, Shang Lou, Yinghai Zhao, et al.
BMC Ophthalmology|November 27, 2021
High myopia and macular vascular density: an optical coherence tomography angiography studyYang Jiang, Shang Lou, Ying Li, et al.
Experimental Eye Research|March 22, 2017
Metabolic characterization of human aqueous humor in relation to high myopiaYinghong Ji, Jun Rao, Xianfang Rong, et al.
Chemical Research in Toxicology|January 31, 2024
AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning MethodsZejun Huang, Shang Lou, Haoqiang Wang, et al.
Chemical Research in Toxicology|May 16, 2024
<i>In Silico</i> Prediction of Skin Sensitization for Compounds <i>via</i> Flexible Evidence Combination Based on Machine Learning and Dempster-Shafer TheoryHaoqiang Wang, Zejun Huang, Shang Lou, et al.
Eclinicalmedicine|October 28, 2025
Association between adherence to cancer prevention guidelines and cancer risk: a comprehensive systematic review and dose-response meta-analysis of cohort studiesJialei Fu, Li-Juan Tan, Shang Lou, et al.
Briefings in Bioinformatics|April 14, 2026
BCRInsight: an antibody language model to decode biological signals from BCR sequencesHailong Zhao, Shang Lou, Xuhua Li, et al.
Zhonghua Er Ke Za Zhi = Chinese Journal of Pediatrics|April 30, 2010
[Exhaled nitric oxide levels in school children of Beijing]Shuo Li, Xiao-shang Lou, Yu Ma, et al.
BMC Oral Health|August 7, 2025
Assessing the spatial relationship between mandibular third molars and the inferior alveolar canal using a deep learning-based approach: a proof-of-concept studyWenjie Lyu, Shang Lou, Jieying Huang, et al.
Chemical Research in Toxicology|February 21, 2024
<i>In Silico</i> Prediction of Chemical Acute Dermal Toxicity Using Explainable Machine Learning MethodsShang Lou, Zhuohang Yu, Zejun Huang, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|February 3, 2026
Efficient semantic segmentation via logit-guided feature distillationXuyi Yu, Shang Lou, Yinghai Zhao, et al.
BMC Ophthalmology|November 27, 2021
High myopia and macular vascular density: an optical coherence tomography angiography studyYang Jiang, Shang Lou, Ying Li, et al.
Experimental Eye Research|March 22, 2017
Metabolic characterization of human aqueous humor in relation to high myopiaYinghong Ji, Jun Rao, Xianfang Rong, et al.
Chemical Research in Toxicology|January 31, 2024
AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning MethodsZejun Huang, Shang Lou, Haoqiang Wang, et al.
Chemical Research in Toxicology|May 16, 2024
<i>In Silico</i> Prediction of Skin Sensitization for Compounds <i>via</i> Flexible Evidence Combination Based on Machine Learning and Dempster-Shafer TheoryHaoqiang Wang, Zejun Huang, Shang Lou, et al.
Eclinicalmedicine|October 28, 2025
Association between adherence to cancer prevention guidelines and cancer risk: a comprehensive systematic review and dose-response meta-analysis of cohort studiesJialei Fu, Li-Juan Tan, Shang Lou, et al.
Briefings in Bioinformatics|April 14, 2026
BCRInsight: an antibody language model to decode biological signals from BCR sequencesHailong Zhao, Shang Lou, Xuhua Li, et al.
Zhonghua Er Ke Za Zhi = Chinese Journal of Pediatrics|April 30, 2010
[Exhaled nitric oxide levels in school children of Beijing]Shuo Li, Xiao-shang Lou, Yu Ma, et al.
BMC Oral Health|August 7, 2025
Assessing the spatial relationship between mandibular third molars and the inferior alveolar canal using a deep learning-based approach: a proof-of-concept studyWenjie Lyu, Shang Lou, Jieying Huang, et al.
Chemical Research in Toxicology|February 21, 2024
<i>In Silico</i> Prediction of Chemical Acute Dermal Toxicity Using Explainable Machine Learning MethodsShang Lou, Zhuohang Yu, Zejun Huang, et al.
Pageof 2