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Juan Shan
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2020 – today
- 2024
- [j9]Chao Li, Guoyi Sun, Xin Li, Juan Shan
:
Semi-supervised heterogeneous graph contrastive learning with label-guided. Appl. Intell. 54(20): 10055-10071 (2024) - [c23]Hetali Chavda, Ming Zhang, Raj Ponnusamy, Yue Wang, Carmine Guida, Juan Shan:
Automatic Measurement of Joint Space Width from Hand Radiographs Using Deep Learning Models. ISBI 2024: 1-5 - [i1]Shihua Qin, Ming Zhang, Juan Shan, Taehoon Shin, Jonghye Woo, Fangxu Xing:
Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models. CoRR abs/2409.19185 (2024) - 2023
- [j8]Raj Ponnusamy, Ming Zhang, Zhiheng Chang, Yue Wang, Carmine Guida, Samantha Kuang, Xinyue Sun, Jordan Blackadar, Jeffrey B. Driban, Timothy E. McAlindon, Jeffrey W. Duryea, Lena Schaefer, Charles B. Eaton, Ida K. Haugen, Juan Shan:
Automatic measuring of finger joint space width on hand radiograph using deep learning and conventional computer vision methods. Biomed. Signal Process. Control. 84: 104713 (2023) - [j7]Carmine Guida, Ming Zhang, Juan Shan
Improving knee osteoarthritis classification using multimodal intermediate fusion of X-ray, MRI, and clinical information. Neural Comput. Appl. 35(13): 9763-9772 (2023) - 2022
- [c22]Zhao Wang, Juan Shan, Yawen Pan:
Design and Architecture of Local Health Platform. BIC 2022: 57-61 - [c21]Juan Shan, Zhao Wang, Yawen Pan:
Application Scenario based Design of the Health Code Platform. BIC 2022: 62-64 - 2021
- [j6]Zhan Zhang
Patients' perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data. Health Informatics J. 27(2): 146045822110112 (2021) - [j5]Jonas Malmsten
Automated cell division classification in early mouse and human embryos using convolutional neural networks. Neural Comput. Appl. 33(7): 2217-2228 (2021) - [c20]Zhao Wang, Juan Shan, Yawen Pan:
Design and Interface Specification of the Health Code. ICISCAE (ACM) 2021: 2483-2487 - [c19]Carmine Guida, Ming Zhang, Jordan Blackadar, Zilong Yang, Jeffrey B. Driban, Jeffrey W. Duryea, Lena Schaefer, Charles B. Eaton, Timothy E. McAlindon, Juan Shan:
Automated Hand Osteoarthritis Classification Using Convolutional Neural Networks. ICMLA 2021: 1487-1494
2010 – 2019
- 2019
- [c18]Jonas Malmsten, Nikica Zaninovic, Qiansheng Zhan, Zev Rosenwaks, Juan Shan:
Automated cell stage predictions in early mouse and human embryos using convolutional neural networks. BHI 2019: 1-4 - [c17]Yaodong Du, Ming Zhang, Garrett Stonis, Juan Shan:
Topological Data Analysis on Magnetic Resonance Image Biomarkers. BIBM 2019: 1185-1187 - [c16]Rania Almajalid
Knee Bone Segmentation on Three-Dimensional MRI. ICMLA 2019: 1725-1730 - 2018
- [j4]Kutub Thakur, Juan Shan, Al-Sakib Khan Pathan:
Innovations of Phishing Defense: The Mechanism, Measurement and Defense Strategies. Int. J. Commun. Networks Inf. Secur. 10(1) (2018) - [c15]Yaodong Du, Juan Shan, Rania Almajalid
Using Whole Knee Cartilage Damage Index to Predict Knee Osteoarthritis: A Two-year Longitudinal Study. BIBM 2018: 623-628 - [c14]Ming Zhang, Juan Shan, Yaodong Du, Rania Almajalid
Whole Knee Cartilage Quantification Based on Informative Locations. BIBM 2018: 1049-1053 - [c13]Yaodong Du, Juan Shan, Rania Almajalid
Knee Osteoarthritis Severity Level Classification Using Whole Knee Cartilage Damage Index and ANN. CHASE 2018: 19-21 - [c12]Rania Almajalid
Development of a Deep-Learning-Based Method for Breast Ultrasound Image Segmentation. ICMLA 2018: 1103-1108 - 2017
- [c11]Lin Li, Juan Shan:
Automated Microaneurysm Detection in Fundus Images through Region Growing. BIBE 2017: 125-130 - [c10]Wen Cao, Juan Shan, Nicholas Czarnek, Lin Li:
Microaneurysm detection in fundus images using small image patches and machine learning methods. BIBM 2017: 325-331 - [c9]Yaodong Du, Juan Shan, Ming Zhang:
Knee osteoarthritis prediction on MR images using cartilage damage index and machine learning methods. BIBM 2017: 671-677 - 2016
- [c8]Nida Butt, Juan Shan:
CyberCare: A Novel Electronic Health Record Management System. CHASE 2016: 326-327 - [c7]Juan Shan, Lin Li:
A Deep Learning Method for Microaneurysm Detection in Fundus Images. CHASE 2016: 357-358 - 2014
- [j3]Yuxuan Wang, Heng-Da Cheng, Juan Shan:
Multiplayer tracking system for short track speed skating. IET Comput. Vis. 8(6): 629-641 (2014) - [c6]Juan Shan, Lin Li:
A new scheme to evaluate the accuracy of knowledge representation in automated breast cancer diagnosis. CTS 2014: 622-627 - 2010
- [j2]Heng-Da Cheng, Juan Shan, Wen Ju, Yanhui Guo, Ling Zhang:
Automated breast cancer detection and classification using ultrasound images: A survey. Pattern Recognit. 43(1): 299-317 (2010) - [c5]Juan Shan, Yuxuan Wang, Heng-Da Cheng:
Completely automatic segmentation for breast ultrasound using multiple-domain features. ICIP 2010: 1713-1716
2000 – 2009
- 2009
- [j1]Wen Ju, Juan Shan, Changhui Yan, Heng-Da Cheng:
Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine. Pattern Recognit. Lett. 30(4): 391-396 (2009) - 2008
- [c4]Juan Shan, Heng-Da Cheng, Yuxuan Wang:
A novel automatic seed point selection algorithm for breast ultrasound images. ICPR 2008: 1-4 - [c3]Yuxuan Wang, Heng-Da Cheng, Juan Shan:
Detecting shadows of moving vehicles based on HMM. ICPR 2008: 1-4 - 2007
- [c2]Juan Shan, Yuxuan Wang, Changhui Yan:
Toward The Recognition Code Of Protein-DNA Recognition. BIBE 2007: 1290-1293 - 2006
- [c1]Michael Wacht, Juan Shan, Xiaojun Qi:
A Short-Term and Long-Term Learning Approach for Content-Based Image Retrieval. ICASSP (2) 2006: 389-392
Coauthor Index
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