Contact

Phone: 470-578-6005

Email: slee297@kennesaw.edu

Office Location: J 377

Office Hours:
office hours TBD

Publications

Journals

  • Lee S, Islam KA, Koganti SC, Yaganti V, Mamillapalli SR, Vitalos H, Williamson DF. SN-FPN: Self-attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation. in IEEE Access, vol. 12, pp. 92764-92773, 2024, doi: 10.1109/ACCESS.2024.3423701. (Impact Factor: 3.4)
  • Youn, S., Ball, A., Fulks, C., Lee, S. and Na, S., 2023. Effects of activated carbon on the compressive strength of Portland cement concrete. GEOMECHANICS AND ENGINEERING, 33(1), pp.19-27. (Impact Factor: 3.201)
  • Na, S., Oruc, A., Fulks, C., Hyung, D., Lee, S. and Youn, S., 2023. New energy partitioning method in essential work of fracture (EWF) concept for 3-D printed pristine/recycled HDPE blends. GEOMECHANICS AND ENGINEERING, 33(1), pp.11-18. (Impact Factor: 3.201)
  • Lee, S., Banzon, J., Le, K. and Kim, D.H., 2022. Estimating animal pose using deep learning a trained deep learning model outperforms morphological analysis. EAI Endorsed Transactions on Bioengineering and Bioinformatics, 22(4):e5 
  • Lee, S., Amgad, M., Mobadersany, P., McCormick, M., Pollack, B.P., Elfandy, H., Hussein, H., Gutman, D.A. and Cooper, L.A., 2021. Interactive classification of whole-slide imaging data for cancer researchers. Cancer Research, 81(4), pp.1171-1177. (Impact Factor: 13.312)
  • Lee, S., Na, S., Rogers, O.G. and Youn, S., 2021. Quantifying surface morphology of manufactured activated carbon and the waste coffee grounds using the Getis-Ord-Gi* statistic and Ripley’s K function. Scientific Reports, 11(1), pp.1-9. (Impact Factor: 4.997)
  • Na S, Lee S, Youn S. Experiment on Activated Carbon Manufactured from Waste Coffee Grounds on the Compressive Strength of Cement Mortars. Symmetry. 2021; 13(4):619. (Impact Factor: 2.7)
  • Lee, S., Zhao, Y., Masoud, M. and Belkasim, S., Quantitative Spatial Analysis on Whole Slide Images Using U-Net, Computational Biology and Bioinformatics. vol. 8, no. 2, 2020, pp. 90-96. doi: 10.11648/j.cbb.20200802.18 
  • Zhao, Y., Belkasim, S., Arteta, A. and Lee, S., 2019. The Stability and Noise Tolerance of Cartesian Zernike Moments Invariants. Pattern Recognition and Image Analysis, 29(3), pp.425-437. (Impact Factor: 0.378)
  • Nalisnik, M., Amgad, M., Lee, S., Halani, S.H., Vega, J.E.V., Brat, D.J., Gutman, D.A. and Cooper, L.A., 2017. Interactive phenotyping of large-scale histology imaging data with HistomicsML. Scientific reports, 7(1), pp.1-12. (Impact Factor: 4.122)
  • Abeshouse, A. … , Lee, S., et al., The Cancer Genome Atlas Research Network, Comprehensive and integrated genomic characterization of adult soft tissue sarcomas, Cell. 2017 Nov 2;171(4):950-965.e28. doi: 10.1016/j.cell.2017.10.014 (Impact Factor: 31.398)
  • Gutman, D.A., Khalilia, M., Lee, S., Nalisnik, M., Mullen, Z., Beezley, J., Chittajallu, D.R., Manthey, D. and Cooper, L.A., 2017. The digital slide archive: A software platform for management, integration, and analysis of histology for cancer research. Cancer research, 77(21), pp.e75-e78. (Impact Factor: 9.130)
  • Lee, S., Masoud, M., Balaji, J., Belkasim, S., Sunderraman, R. and Moon, S.J., 2017. A survey of tag-based information retrieval. International Journal of Multimedia Information Retrieval, 6(2), pp.99-113. (Impact Factor: 1.07)

Confernces and Workshops

  • Jackson, E., Le, F., Lisbon, J.D.I., Coleman, M., Burman, J., Wonderley, A., Eshaghian, S. and Lee, S., 2024, April. Comprehensive Experiments on Breast Cancer Hematoxylin and Eosin-stained Images Using UNet. In Proceedings of the 2024 ACM Southeast Conference (pp. 121-128)
  • Lee, S., Koganti, S.C., Hwang, I. and Woo, M., 2024, February. Class Probability-guided Ensemble Learning-based Semantic Segmentation to Predict Cancerous Regions on Hematoxylin and Eosin-stained Images. In 2024 IEEE 18th International Conference on Semantic Computing (ICSC) (pp. 49-56)
  • Lee, S., Park, S., Cheong, J.H., Wang, S.C., Porembka, M.R., Kim, I.H., Lee, S.H. and Hwang, T.H., 2023. Spatial image analysis of tumor-infiltrating lymphocytes on gastric cancer to predict anti-PD1 inhibitor response. Cancer Research, 83(7_Supplement), pp.1360-1360.
  • Lee, S., Pressman, I., Xu, H. and Hwang, T.H., 2022. Spatial image analysis on stroma composition linking to patient prognosis, chemotherapy response, and immunotherapy resistance. Cancer Research, 82(12_Supplement), pp.5044-5044.
  • Choi, W., Nourzadeh, H., Lee, S., Chen, Y., Ghassemi, N., Vinogradskiy, Y. and Dicker, A., 2022, June. A Framework for Reproducible and Scalable Radiomics Pipelines for Radiation Oncology Using Self-Contained Containers and Workflow Manager. In MEDICAL PHYSICS (Vol. 49, No. 6, pp. E190-E191). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.
  • Lee, S., Waugh, B., O'Dell, G., Zhao, X., Yoo, W.S. and Kim, D.H., 2021, October. Predicting Fruit Fly Behaviour using TOLC device and DeepLabCut. In 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 1-6). IEEE.
  • Song. H. and Lee, S., Implementation of diabetes incidence prediction using a multilayer perceptron neural network. In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 3089-3091). IEEE.
  • Lee, S., Farley, C., Shim, S., Yoo, W.S., Zhao, Y. and Choi, W., 2020, October. Unsupervised Learning of Deep-Learned Features from Breast Cancer Images. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 740-745). IEEE.
  • Lee, S., “Boundary Tracing on Whole Slide Images,” 2020 Computer Sciences and Information Technologies, US-Korea Conference (UKC) (pp. 210).
  • Lee, S., Amgad, M., Masoud, M., Subramanian, R., Gutman, D. and Cooper, L., 2019, November. An Ensemble-based Active Learning for Breast Cancer Classification. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2549-2553). IEEE.
  • Chittajallu, D.R., Siekierski, N., Lee, S., Gerber, S., Beezley, J., Manthey, D., Gutman, D. and Cooper, L., 2018, April. Vectorized persistent homology representations for characterizing glandular architecture in histology images. In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (pp. 232-235). IEEE.
  • Goldstein, J.S., Lee, S., Jordan, J., Jaye, D.L., Flowers, C. and Cooper, L., 2017. Utilizing Digital Pathology Informatics Algorithms for Diffuse Large B-Cell Lymphoma Subtyping. Blood, 130(Supplement 1), pp.4147-4147.
  • Masoud, M., Lee, S. and Belkasim, S., 2016. A parallel approach for optimizing RMC delivery problem. In 5th IEEE international conference on advanced logistics and transport, June (pp. 1-3).
  • Masoud, M., Lee, S. and Belkasim, S., 2016, October. Statistical-Based Image Tagging. In 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) (pp. 610-613). IEEE.
  • Masoud, M., Lee, S. and Belkasim, S., 2016, October. Dynamic allocation of service function chains under priority dependency constraint. In 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) (pp. 684-688). IEEE.
  • Masoud, M., Lee, S. and Belkasim, S., 2016, April. A heuristic approach for vehicle scheduling problem with time and capacity constraints. In 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim) (pp. 230-234). IEEE.
  • Lee, S., Zhao, Y., Masoud, M.E.M., Valero, M., Kul, S. and Belkasim, S., 2015, September. Domain specific information retrieval and text mining in medical document. In Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (pp. 67-76).
  • Lee, S., Shakya, S., Sunderraman, R. and Belkasim, S., 2013, November. Real time micro-blog summarization based on hadoop/hbase. In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (Vol. 3, pp. 46-49). IEEE.
  • Lee, S., Belkasim, S. and Zhang, Y., 2013, July. Multi-document text summarization using topic model and fuzzy logic. In International Workshop on Machine Learning and Data Mining in Pattern Recognition (pp. 159-168). Springer, Berlin, Heidelberg.
  • Lee, S. and Belkasim, S., 2013, June. Poster: User-centered query expansion model for health disparities research. In 2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) (pp. 1-1). IEEE Computer Society.
  • Moon, S.J., Kim, H.K., Oh, S.J. and Lee, S., 2011, November. A new real-time location tracking techniques using Doppler radar and bio-sensors in WSN. In Proceedings of the 2011 ACM Symposium on Research in Applied Computation (pp. 84-89).
  • Moon, S.J. and Lee, S., 2011. A reliable nested transaction model with extension of real-time characteristics. In Reliable and Autonomous Computational Science (pp. 123-142). Springer, Basel (Best Paper Award).
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