Selected Publications

Journals and Transactions:
1. Baldeon Calisto, M. and Lai-Yuen, S., “EMONAS-Net: Efficient Multiobjective Neural Architecture Search using Surrogate-Assisted Evolutionary Algorithm for 3D Medical Image Segmentation,” Artificial Intelligence in Medicine Journal, 119, 2021.

2. Baldeon Calisto, M., and Lai-Yuen, S., "AdaEn-Net: An Ensemble of Adaptive 2D-3D Fully Convolutional Networks for Medical Image Segmentation," Neural Networks, Special Issue on Advanced Deep Learning Methods for Biomedical Information Analysis, 126, 2020, pp. 76-94.

3. Wyman, A., Salemi, J. L., Mikhail, E., Bassaly, R., Greene, K. A., Hart, S., and Lai-Yuen, S., "Cost-Effectiveness of a Pre-Operative Pelvic MRI in Pelvic Organ Prolapse Surgery," International Urogynecology Journal, 31, 2020, pp. 1443-1449.

4. Baldeon Calisto, M., and Lai-Yuen, S., "AdaResU-Net: Multiobjective Adaptive Convolutional Neural Network for Medical Image Segmentation," Neurocomputing, 392, 2020, pp. 325-340.

5. Nekooeimehr, I., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., "Automated Contour Tracking and Trajectory Classification of Pelvic Organs on Dynamic MRI," SPIE Journal of Medical Imaging, 5(1), 2018.

6. Onal, S., Chen, X., Lai-Yuen, S., and Hart, S., "Automatic Vertebra Segmentation on Dynamic MRI," SPIE Journal of Medical Imaging, 4(1), 2017.

7. Nekooeimehr, I., and Lai-Yuen, S., "Cluster-based Weighted Oversampling for Ordinal Regression (CWOS-Ord)", Neurocomputing, 218, 2016, pp. 51-60.

8. Herrera, M., Piegl, L., Lai-Yuen, S., and Zhang, X., "A Knowledge Management System for Integrating Western and Traditional Chinese Medicine for Relational Diagnosis," Journal of Engineering in Medicine, 2016, pp. 1-13.

9. Nekooeimehr, I., and Lai-Yuen, S., "Adaptive Semi-Unsupervised Weighted Oversampling (A-SUWO) for Imbalanced Datasets", Expert Systems with Applications, 46, 2016, pp. 405-416.

10. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., "Automated Localization of Multiple Pelvic Bone Structures on MRI", IEEE Journal of Biomedical and Health Informatics, 20(1), 2016, pp. 249-255.

11. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., Hogue, D., and Hart, S., "Quantitative Assessment of New MRI-based Measurements to Differentiate Low and High Stages of Pelvic Organ Prolapse using Support Vector Machines", International Urogynecology Journal, 26(5), 2015, pp. 707-713.

12. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., "MRI-based Segmentation of Pubic Bone for Evaluation of Pelvic Organ Prolapse," IEEE Journal of Biomedical and Health Informatics, 18(4), 2014, pp. 1370-1378.

13. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., Green, K., Kedar, R., and Hart, S., "Assessment of a Semi-automated Pelvic Floor Measurement Model for Evaluating Pelvic Organ Prolapse on MRI," International Urogynecology Journal, 25(6), 2014, pp. 767-773.

14. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., "Image based Measurements for Evaluation of Pelvic Organ Prolapse," Journal of Biomedical Science and Engineering, 6(1), 2013, pp. 45-55.

15. Cover, N., Lai-Yuen, S., Parsons, A., and Kumar, A., "Synergistic Effects of Doxycycline-Loaded Chitosan Nanoparticles for Improving Drug Efficacy and Sustained Delivery," International Journal of Nanomedicine, 7, 2012, pp. 2411-2419. PMCID: PMC3394463.

16. Grove, O., Rajab, K., Piegl, L. A., and Lai-Yuen, S. K., "From CT to NURBS: Contour Fitting with B-spline Curves," Computer-Aided Design and Applications, Bio-CAD Special Issue, Vol. 8, No. 1, 2011, pp. 3-21.

17. Brintaki, A. N., Lai-Yuen, S. K., and Nikolos, I. K., "A Kinematics Based Heuristic Approach for Molecular Conformational Search," Computer-Aided Design and Applications, Bio-CAD Special Issue, Vol. 8, No. 1, 2011, pp. 23-36.

18. Mondy, W. L., Cameron, D., Timmermans, J.-P., De Clerck, N., Sasov, A., Casteleyn, C., Woodward, J., Lai-Yuen, S., and Piegl, L., "The Basement Membrane: Key to the Reverse Engineering Biological Tissues," Computer-Aided Design and Applications, 8(1), 2011, pp. 59-70.

19. Brintaki, A. N., and Lai-Yuen, S. K., "eBGF: An Enhanced Geometric Hierarchical Representation for Protein Modeling and Rapid Self-collision Detection," Computer-Aided Design and Applications, 6(5), 2009, pp. 625-638.

20. Lai-Yuen, S. K., and Lee, Y.-S., "Interactive Computer-Aided Design for Molecular Docking and Assembly," Computer-Aided Design and Applications, 3(6), 2006, pp. 701-709.

21. Ren, Y., Lai-Yuen, S. K., and Lee, Y.-S., "Virtual prototyping and manufacturing planning by using tri-dexel models and haptic force feedback," Virtual and Physical Prototyping, 1(1), 2006, pp. 3-18.

22. Lai-Yuen, S. K., and Lee, Y.-S., "Computer-Aided Design and Simulation for Nano-scale Assembly," Transactions of the North American Manufacturing Research Institution of SME, Vol. 34, 2006, pp. 357-364.


Patents:
1. Hart, S., DiLeo, G. M., Lai-Yuen, S. K., Weitzenfeld, A., and Hipol, P. J., "Electronic Catheter Stethoscope," U.S. Patent 9,504,440, November 2016.

2. Kulkarni, P., and Lai-Yuen, S. K., "Systems and Methods for Stable Haptic Feedback Over Packet- Switched Networks," U.S. Patent 9,501,946, November 2016.

3. Hart, S., Lai-Yuen, S. K., Moree, E., Doulgeris, J., Taylor, B., Roach, G., and Kruse, B., "Incision-Less Laparoscopic Instrument," U.S. Patent 9,381,029 B2, July 2016.

4. Hart, S., Constantino, J., and Lai-Yuen, S., "Laparoscopic Tool for Grasping Tissue," U.S. Patent 9,375,228 B2, June 2016.

5. Kumar, A., Lai-Yuen, S., and Mohapatra, S., "Drug Delivery Device for Ovarian Cancer," U.S. Patent No. 9,155,872, October 2015.

6. Hart, S., Onal, S., and Lai-Yuen, S. K., "Universal Laparoscopic Suturing Device," U.S. Patent 9,072,480, July 2015.

7. Hart, S., Lai-Yuen, S., and Armstrong, M., "Minimally Invasive Laparoscopic Tissue Removal System," Provisional Patent Application, November 2016.

8. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., Hogue, D., and Hart, S., "Image-based Automated Measurement Model to Predict Pelvic Organ Prolapse," U.S. Utility Patent Application, April 2016.


Conference Proceedings and Presentations:
1. Baldeon Calisto, M., and Lai-Yuen, S., “C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation Framework for Medical Image Segmentation,” SPIE Medical Imaging, San Diego, CA, February 20-24, 2022.

2. Wyman, A. M., Salemi, J. L., Greene, K. A., Bassaly, R., Kedar, R., Lai-Yuen, S., and Hoyte, L., “Levator Ani Subtended Volume (eLASV): A Predictive Biomarker for Surgical Outcomes Following Native Tissue Apical Repair,” AUGS Annual Scientific Meeting, Phoenix, AZ, October 12-15, 2021.

3. Wyman, A. M., Salemi, J. L., Greene, K. A., Bassaly, R., Kedar, R., Lai-Yuen, S., and Hoyte, L., “Levator Ani Subtended Volume as a Clinical Predictor for Surgical Failure in Uterosacral Ligament Suspension: An Inter-Observer Reliability Analysis,” AUGS Annual Scientific Meeting, Phoenix, AZ, October 12-15, 2021.

4. Baldeon Calisto, M., and Lai-Yuen, S., "EMONAS: Efficient Multiobjective Neural Architecture Search Framework for 3D Medical Image Segmentation," SPIE Medical Imaging, San Diego, CA, February 14-18, 2021.

5. Baldeon Calisto, M., and Lai-Yuen, S., "Adapting Deep Neural Networks with an Efficient Multiobjective Evolutionary Framework," INFORMS Data Science Workshop, November 7, 2020. (Best Paper Award Nominee)

6. Baldeon Calisto, M., and Lai-Yuen, S., "Efficient Multiobjective Neural Architecture Search Framework using a Surrogate-Assisted Evolutionary Algorithm," INFORMS Annual Meeting, November 7-13, 2020.

7. Baldeon Calisto, M., and Lai-Yuen, S., "Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation," SPIE Medical Imaging, Houston, TX, February 15-20, 2020.

8. Baldeon Calisto, M., and Lai-Yuen, S., "CascAda-Net: Multi-Objective 2D-3D Convolutional Neural Network for Medical Image Segmentation," INFORMS Annual Meeting, Seattle, WA, October 20-23, 2019.

9. Baldeon Calisto, M., and Lai-Yuen, S., "Multiobjective Adaptive Convolutional Neural Network for Medical Image Segmentation," INFORMS Annual Meeting, Phoenix, AZ, November 4-7, 2018.

10. Baldeon Calisto, M., and Lai-Yuen, S., "ResU-Net: Residual Convolutional Network for Prostate MRI Segmentation," IISE Annual Conference & Expo, Orlando, FL, May 19-22, 2018. (Best Student Paper Award Finalist)

11. Wyman, A. M., Salomon Gonzalez, M., Salemi, J. L., Mikhail, E., Ahmed, M., Hart, S., and Lai-Yuen, S., "Cost-Effectiveness Analysis of Pre-Operative Pelvic MRI to Identify Patients at High Risk of Surgical Failure," The American Urogynecology Society (AUGS) Annual Meeting, Providence, RI, October 3-7, 2017.

12. Centeno, G., Lai-Yuen, S., Nekooeimehr, I., and Mithy, S., "The Impact of Healthcare-Related Out-of-Class Interventions on Student Retention and Motivation in Engineering," Accepted to appear at ASEE Annual Conference & Exposition, Columbus, OH, June 25-28, 2017.

13. Centeno, G., Lai-Yuen, S., and Mithy, S., "Increasing Diversity in Engineering through Healthcare Applications," Submitted to Healthcare Systems Process Improvement Conference, Orlando, FL, March 1-3, 2017.

14. Nekooeimehr, I., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., "Automated Tracking, Segmentation and Trajectory Classification of Pelvic Organs on Dynamic MRI," IEEE Engineering in Medicine and Biology Conference, Orlando, FL, August 16-20, 2016.

15. Nekooeimehr, I., and Lai-Yuen, S., "Cluster-based Weighted Oversampling for Ordinal Regression (CWOS-Ord)," IIE Annual Conference & Expo, Anaheim, CA, May 21-24, 2016. (Best Paper Award)

16. Centeno, G., Lai-Yuen, S., Nekooeimehr, I., Banaszak, A., and Ishak, A., "The Impact of Healthcare-related Pedagogical Interventions on Student Motivation and Retention," IIE Annual Conference & Expo, Anaheim, CA, May 21-24, 2016.

17. Centeno, G., Lai-Yuen, S., and Nekooeimehr, I., "Increasing Diversity in Engineering through Healthcare Applications," Envisioning the Future of Undergraduate STEM Education: Research and Practice, Washington, DC, April 27-29, 2016.

18. Onal, S., Chen, X., Lai-Yuen, S., and Hart, S., "Segmentation of Sacral Curve on Dynamic MRI for Diagnosis of Pelvic Organ Prolapse," IEEE International Conference on Biomedical and Health Informatics, Las Vegas, NV, February 25-28, 2016.

19. Lai-Yuen, S., and Centeno, G., "Innovative Pedagogical Interventions to Increase Retention of Women in Engineering," INFORMS Annual Meeting, Philadelphia, PA, Nov. 1-4, 2015.

20. Nekooeimehr, I., Wyman, A. M., Lai-Yuen, S., and Hart, S., "An Adaptive Cluster-based Oversampling Method for Imbalanced Dataset Classification: Application to Gynecological Surgery Failure Prediction," INFORMS Annual Meeting, Philadelphia, PA, Nov. 1-4, 2015.

21. Nekooeimehr, I., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., "Automatic Tracking and Segmentation of Pelvic Floor Organs on Dynamic Magnetic Resonance Imaging," Biomedical Engineering Society (BMES) Annual Meeting, Tampa, FL, October 7-10, 2015.

22. Wyman, A. M., Nekooeimehr, I., Hahn, L., Lai-Yuen, S., and Hart, S., "Evaluation of 2D Pelvic MRI Measurements as Clinical Predictors of Surgical Failure after Laparoscopic Uterosacral Ligament Suspension," AAGL Global Congress on Minimally Invasive Gynecology, Las Vegas, NV, November 15-19, 2015.

23. Nekooeimehr, I., and Lai-Yuen, S., "Adaptive Borderline Cluster Based Oversampling Method to Balance Imbalanced Datasets," INFORMS Annual Meeting, San Francisco, CA, November 9-12, 2014.

24. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., "Prediction Model Using Clinical and MRI-based Features for Pelvic Organ Prolapse Diagnosis," Biomedical Engineering Society (BMES) Annual Meeting, San Antonio, TX, October 22-25, 2014.

25. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., "Fully Automated Localization of Multiple Pelvic Bone Structures on MRI," IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Chicago, IL, August 26-30, 2014.

26. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., Greene, K., and Hart, S., "Image Based Measurements for Evaluation of Pelvic Organ Prolapse," American Urogynecologic Annual Scientific Meeting, Las Vegas, NV, October 16-19, 2013.

27. Lai-Yuen, S. K., and Reeves, K., "Active Learning Experiences on Medical Devices for Manufacturing and New Product Development," Proceedings of the American Society for Engineering Education Annual Conference, Austin, TX, June 14-17, 2009. (Best Presentation Award)

28. Brintaki, A. N., and Lai-Yuen, S. K., "A Biologically-Inspired Computational Geometric Method for Effective Identification of Molecular Conformations," Poster Symposium & Competition: Global Challenges for the 21st Century, USF Office of Research Innovation and Graduate School Research Week, Tampa, FL, November 5-6, 2008. (Best Poster Award)

29. Lai-Yuen, S. K., and Lee, Y.-S., "Energy-field Optimization and Haptic-based Molecular Docking and Assembly Search System for Computer-Aided Molecular Design (CAMD)," Proceedings of the 14th Symposium Haptic Interfaces for Virtual Environment and Teleoperator Systems, IEEE Virtual Reality Conference, Alexandria, VA, March 25-26, 2006. (Best Student Paper Award)