Publication
Devi Sowjanya Padala, Lin Li, Hetali Tank, Ming Zhang, Jeffrey B. Driban, Timothy McAlindon, and Juan Shan, "Fusion of Global and Local Features for Bone Marrow Lesion Segmentation Using a Hybrid Deep Learning Model." Signals 7.4 (2026): 66.
Wen Cao, Nicholas Czarnek, Juan Shan, and Lin Li, “Microaneurysm Detection using Principle Component Analysis and Machine Learning Methods”, IEEE Transactions on NanoBioscience, 17(3), pp. 191 – 198, 2018.
Lin Li, Ben C.K. Ngan, “A Weight-Adjusted-Voting Framework on an Ensemble of Classifiers for Improving Sensitivity”. Intelligent Data Analysis (IDA), vol. 21, no. 6, pp.1339-1350, 2017.
Ben C. K. Ngan, Lin Li, “A Patient-centric Decision Guidance System for Detecting Glycemia of Diabetes Patients”. International Journal of Applied Decision Sciences (IJADS), 9(4), pp. 366 – 399, 2016, DOI: 10.1504/IJADS.2016.10002224.
Ben C.K. Ngan, Lin Li, “H-EQPE Model and L-Checkpoint Algorithm: A Decision-Guidance Approach for Detecting Hypoglycemia of Diabetes Patients”. International Journal of Decision Support System Technology (IJDSST), 7(4), pp. 20 -35, 2015.
Lin Li, Qizhi Zhang, Yihua Ding, Huabei Jiang, Bruce H. Thiers, James Z. Wang, “Automated Detection of Melanoma using Machine Learning Methods on a Spectroscopic System”. BMC Medical Imaging, 2014, 14:36, DOI: 10.1186/1471-2342-14-36.
James Z. Wang, Yuanyuan Zhang, Liang Dong, Lin Li, Pradip Srimani, Philip S. Yu, “G-Bean: an Ontology-graph Based Web Tool for Biomedical Literature Retrieval”. BMC Bioinformatics, 2014, 15(Suppl 12):S1, DOI:10.1186/1471-2105-15-S12-S1.
Xuebo Song, Lin Li, Pradip Srimani, Philip S. Yu, James Z. Wang, “Measure the Semantic Similarity of GO Terms using Aggregate Information Content”. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(3), pp. 468 - 476, 2014.
Lin Li, James Z. Wang, Mark A. Eckert, Carl Lozar, “Automated Detection of Mild Cognitive Impairment through MRI Data Analysis”, International Journal on Artificial Intelligence Tools, Vol.21, No.5 (Nov. 2012), DOI: 10.1142/S0218213012400222, World Scientific Publishing.
Zhidian Du, Lin Li, Chin-Fu Chen, Philip S. Yu, and James Z. Wang, “G-SESAME: Web Tools for GO- Term-Based Gene Similarity Analysis and Knowledge Discovery”, Nucleic Acids Research, Vol. 37, No. suppl_2. (July 1st, 2009), pp. w345 - 349.
Jakob Balkovec, Daniel Kirov-Tomilov, Alyssa Abogado, Lin Li, "A Comparative Study of Image-Based, Patch-Based, and Hybrid Segmentation Pipelines for Diabetic Retinopathy Lesions", 25th International Conference on Machine Learning and Applications (ICMLA), IEEE, 2026.
Jakob Balkovec, Kerry Cheon, Daniel Kirov-Tomilov, Wai Nam Lo, Gina Philipose, Xin Zhou, Shiny Abraham, Lin Li, "Enhancing Spatial and Temporal Coverage of Soil Moisture Estimation Using Satellite and Weather-Driven Machine Learning." In 2026 IEEE World AI IoT Congress (AIIoT), pp. 0258-0267. IEEE, 2026.
Lin Li, Koshin Ono, Ben C.K. Ngan, “A Deep Learning and Transfer Learning Approach for Vehicle Damage Detection”, the 34th International FLAIRS Conference, May 16 – 19, 2021, Miami, USA.
Lin Li, Wonseok Seo, “Deep Learning and Transfer Learning for Skin Cancer Segmentation and Classification”, IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Oct. 25 – 27, 2021, Kragujevac, Serbia.
Lin Li, Ben C.K. Ngan, “A Weight-adjusting Approach on an Ensemble of Classifiers for Time Series Forecasting”, the 3rd International Conference on Information System and Data Mining, pp. 65 - 69, Houston, Texas, April 6 - 8, 2019.
Lin Li, Juan Shan, “Automated Microaneurysm Detection in Fundus Images by Region Growing”, the proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2017), pp. 125 – 130, Washington DC, Oct. 23 - 25, 2017.
Wen Cao, Nicholas Czarnek, Juan Shan, and Lin Li, “Microaneurysm Detection in Fundus Images by Small Image Patches and Machine Learning Methods”, the proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017), pp. 325 – 331, Kansas City, MO, Nov. 13 – 16, 2017.
Juan Shan, Lin Li, “A Deep Learning Method for Microaneurysm Detection in Fundus Images”, the proceedings of the 1st IEEE Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2016), pp. 357 – 358, Washington DC, June 27 – 29, 2016.
Lin Li, “Diagnosis of Diabetes using a Weight-Adjusted Voting Approach”, the Proceeding of the 14th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2014), pp. 320 – 324, Boca Raton, Nov 10 – 12, 2014.
Juan Shan, Lin Li, “A New Scheme to Evaluate the Accuracy of Knowledge Representation in Automated Breast Cancer Diagnosis”, the proceedings of 2014 International Conference on Collaboration Technologies and Systems (CTS 2014), Minneapolis, Minnesota, May 19-23, 2014.
Lin Li, Aaron Clark, James Z. Wang, “A Computer-aided Diagnostic Tool for Melanoma”, 2014 International Conference on Computational Science and Computational Intelligence, Las Vegas, NV, March 10-13, 2014.
Lin Li, Qizhi Zhang, Yihua Ding, Huabei Jiang, Bruce H. Thiers, James Z. Wang, “A Computer-aided Spectroscopic System for Early Diagnosis of Melanoma”, IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2013), Washington DC, Nov 4th - 6th, 2013.
Yuanyuan Zhang, Liang Dong, Lin Li, Pradip K. Srimani, Philip S. Yu, James Z. Wang, “G-Bean: an Ontology-graph based Web Tool for Biomedical Literature Retrieval”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013), Shanghai, China, Dec 18th – 21st, 2013.
Xuebo Song, Lin Li, Philip S. Yu, Pradip Srimani, James Z. Wang, “Measure the Semantic Similarity of GO terms Using Aggregate Information Content”, International Symposium on Bioinformatics Research and Applications (ISBRA 2013), Charlotte, NC, May 20th - 22nd, 2013.
Lin Li, Qizhi Zhang, Huabei Jiang, Bruce H. Thiers, James Z. Wang, “Combination of Multiple Scattered Light Spectroscopy/Polarized Light Spectroscopy Technology for Rapid Noninvasive Diagnosis of Skin Cancer”, Cancer Detection & Diagnostics Technologies for Global Health Conference, NIH campus, Bethesda, MD, USA, August 22 - 23rd, 2011.
Lin Li, James Z. Wang, “DDIT - A Tool for DICOM Brain Images De-identification”, the Proceeding of the 5th International Conference on Bioinformatics and Biomedical Engineering (ICBBE 2011), Wuhan, China, May 10 - 12nd, 2011, pp. 1 - 4.
Lin Li, Carl Lozar, Mark A. Eckert, Dheeraj Chahal, James Z. Wang, “Detection of Mild Cognitive Impairment using Image Differences and Clinical Features”, the Proceeding of the 10th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2010), Thomas Jefferson University, Philadelphia, PA, USA, May 31 - June 3rd, 2010, pp. 106 - 111.
Lin Li, Carl Lozar, Mark A. Eckert, Dheeraj Chahal, James Z. Wang, “Brain Image Database System for Diagnosis of Subtle Brain Injury”, the Proceeding of the 4th International Conference on Bioinformatics and Biomedical Engineering (ICBBE 2010), Chengdu, China, June 18 - 20th, 2010, pp. 1 - 4.
(names underlined are SU students)
Trevor Lane, Yicheng Pan, Gabe Allen, Lin Li, "Comparing Biomarker-Based Machine Learning, Graph Neural Networks, and Convolutional Neural Networks for Diabetic Retinopathy Severity Grading", ABRCMS 2026, Seattle, November 18-21, 2026.
Jakob Balkovec, Daniel Kirov-Tomilov, Alyssa Abogado, Lin Li, "Comparing Image, Patch, and Hybrid Approaches for Lesion Segmentation in Diabetic Retinopathy", the 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2026), Toronto, Canada, July 26 - 30, 2026.
Lin Li, Wonseok Seo, “Skin Lesion Segmentation and Classification using Mask R-CNN and Transfer Learning”, IEEE BHI-BSN 2021, July 27 – 30, 2021, virtual.
Lin Li, Juan Shan, “Automated Microaneurysm Detection in Fundus Images by Region Growing”, the proceedings of BHI-2017 International Conference on Biomedical and Health Informatics, Orlando, FL, Feb. 16 - 19, 2017.
Hai T. Tran, Lin Li, “Predicting Blood Glucose Level in Diabetic Patients using Neural Network”, the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), Orlando, FL, August 16 – 20, 2016.