Publications

Peer-Reviewed Journal Articles

  • Baroudi, H. Brock, K.K., Cao, W., Chen, X., Chung, C., Court, L.E., El Basha, M.D., Farhat, M., Gay, S., Gronberg, M.P., Gupta, A.C., Hernandez, S., Huang, K., Jaffray, D.A., Lim, R., Marquez, B., Nealon, K., Netherton, T.J., Nguyen, C.M., Reber, B., Rhee, D.J., Salazar, R.M., Shanker, M.D., Sjogreen, C., Woodland, M., Yang, J., Yu, C., & Zhao, Y. (2023). Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’? Diagnostics, 13, 667. doi.org/10.3390/diagnostics13040667

  • Sen, A., Troncoso, P., Venkatesan, A., Pagel, M.D., Nijkamp, J.A., He, Y., Lesage, A., Woodland, M., and Brock, K.K. (2021). Correlation of In-Vivo Imaging with Histopathology: A Review. European Journal of Radiology, 144, 109964. doi.org/10.1016/j.ejrad.2021.109964

  • Woodland, M., Hsiung, M., Matheson, E., Safsten, A., Greenwood, J., Halverson, D.M., & Howell, L.L. (2021). Analysis of the Rigid Motion of a Developable Conical Mechanism. Journal of Mechanisms and Robotics, 13, 031106-1 to 031106-8. doi.org/10.1115/1.4050294

  • Kimmons, R., Hunsaker, E., Jones, E. J., & Stauffer, M. (2019). The nationwide landscape of K-12 school websites in the United States: Systems, services, intended audiences, and adoption patterns. The International Review of Research in Open and Distributed Learning, 20(3). doi.org/10.19173/irrodl.v20i4.3794

  • Kimmons, R., McGuire, K., Stauffer, M., Jones, E. J., Gregson, M., & Austin, M. (2017). Religious identity, expression, and civility in social media: Results of data mining Latter-day Saint Twitter accounts. Journal for the Scientific Study of Religion, 56(3). doi.org/10.1111/jssr.12358

Conference Proceedings

  • Woodland, M., Patel, N., Al Taie, M., Yung, J.P., Netherton, T.J., Patel, A.B., & Brock, K.K. (2023). Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. In: Sudre, C.H., Baumgartner, C.F., Dalca, A., Mehta, R., Qin, C., Wells, W.M. (eds) Uncertainty for the Safe Utilization of Machine Learning in Medical Imaging. Lecture Notes in Computer Science, vol 14291. Springer, Cham. doi.org/10.1007/978-3-031-44336-7_15

  • Woodland, M., Wood, J., Anderson, B.M., Kundu, S., Lin, E., Koay, E., Odisio, B., Chung, C., Kang, H.C., Venkatesan, A.M., Yedururi, S., De, B., Lin, Y.-M., Patel, A.B., & Brock, K.K. (2022). Evaluating the Performance of StyleGAN2-ADA on Medical Images. In: Zhao, C., Svoboda, D., Wolterink, J.M., Escobar, M.  (eds) Simulation and Synthesis in Medical Imaging. Lecture Notes in Computer Science, vol 13570. Springer, Cham. doi.org/10.1007/978-3-031-16980-9_14

  • Woodland, M., Hsiung, M., Matheson, E.L., Safsten, C.A., Greenwood, J., Halverson, D.M., & Howell, L.L. (2020). Analysis of the Rigid Motion of a Developable Conical Mechanism. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. doi.org/10.1115/DETC2020-22643

  • Henrichsen, A., Jafek, B., O’Bryant, J., & Stauffer, M. (2018). Brigham Young University Speeches Popularity Predictor. The National Conference on Undergraduate Research. libjournals.unca.edu/ncur/

    Abstracts

  • Woodland, M., O’Connor, C., Wood, J., Patel, A.B., & Brock, K.K. (2023). Interpretable Out-of-Distribution Detection with Generative Adversarial Networks. Med. Phys., 50(6), e154-155. doi.org/10.1002/mp.16525

  • Woodland, M., Wood, J., O’Connor, C., Patel, A.B., & Brock, K.K. (2022). StyleGAN2-based Out-of-Distribution Detection for Medical Imaging. In: Med-NeurIPS. sites.google.com/view/med-neurips-2022/abstracts

  • Reber, B., van Dijk, L.V., Anderson, B.M., Mohamed, A.S., Rigaud, B., He, Y., Woodland, M., Fuller, C.D., Lai, S.Y., and Brock, K.K. (2022) Comparison of Machine Learning and Deep Learning Methods for the Prediction of Osteoradionecrosis Resulting from Head and Neck Cancer Radiation Therapy. J. Radiat. Oncol. Biol. Phys., 114(3), e124. doi.org/10.1016/j.ijrobp.2022.07.946

  • Woodland, M., Wood, J., Anderson, B.M., Kundu, S., Lin, E., Koay, E., Odisio, B., Chung, C., Kang, H.C., Venkatesan, A., Yedururi, S., De, B., Lin, Y., Patel, A.B., & Brock, K.K. (2022). Comparing Transfer Learning, Data Augmentation, and Data Expansion in the Improvement of Medical Image Generation. Med. Phys., 49: e113-e982. https://doi.org/10.1002/mp.15769

  • Woodland, M., Patel, A.B., Anderson, B.M., Lin, E., Koay, E., Odisio, B., & Brock, K.K. (2021). GAN-Driven Anomaly Detection for Active Learning in Medical Imaging Segmentation. Med. Phys., 48: e117-e635. https://doi.org/10.1002/mp.15041

  • Reber, B., Anderson, B.M., Mohamed, A., Van Dijk, L., Rigaud, B., McCulloch, M., He, Y., Woodland, M., Fuller, C. Lai, S., & Brock, K.K. (2021). Predicting Osteoradionecrosis from Head and Neck Radiotherapy Using a Residual Convolutional Neural Network. Med. Phys., 48: e117-e635. https://doi.org/10.1002/mp.15041

  • Sailsbery, M., Heiner, J., Robertson, C., Stauffer, M., & Jarvis, T. (2019). Facility Location Using Markov Chains on Spatial Networks. In: Second Northeast Regional Conference on Complex Systems. coco.binghamton.edu/nerccs/

Posters

  • Woodland, M., Al Taie, M., Lebimoyo, O., Patel, A.B., & Brock, K.K. (2023). Interpretable OOD Detection using GANs: An Application to the MIDRC Data Repository. Practical Big Data Workshop 2021.

  • Woodland, M., Wood, J., O’Connor, C., Patel, A.B., & Brock, K.K. (2022). StyleGAN2-based Out-of-Distribution Detection for Medical Imaging. Medical Imaging Meets NeurIPS 2022.

  • Woodland, M., Wood, J., Anderson, B. M., Kundu, S., Lin, E., Koay, E., Odisio, B., Chung, C., Kang, H. C., Venkatesan, A. M., Yedururi, S., De, B., Lin, Y.-M., Patel, A. B., & Brock, K. K. (2022). Evaluating the performance of StyleGAN2-ADA on Medical Images. Simulation and Synthesis in Medical Imaging 2022.

  • Woodland, M., Anderson, B. M., Wood, J., Lin, E., Koay, E., Odisio, B., Patel, A. B., & Brock, K. K. (2022). Improving the Generation of Synthetic Medical Images using Data Augmentation and Transfer Learning. Southwest Chapter of American Association of Physicists in Medicine Annual Meeting 2022.

  • Woodland, M., Patel, A. B., Rigaud, B., Reber, B., Anderson, B. M., Wood, J., Lin, E., Koay, E., Odisio, B., & Brock, K. K. (2021). Detecting Out-of-Distribution Images for Active Learning using a Generative Adversarial Network (StyleGAN2). Practical Big Data Workshop 2021.

  • Reber, B., Duk, L.V., Anderson, B. M., Mohammad, A., Rigaud, B., He, Y., Woodland, M., Fuller, C., Lai, S., Brock, & K. K. (2021). Comparison of Machine Learning Methods for the Prediction of Osteoradionecrosis (ORN) from Head and Neck Cancer (HNC) Radiation Therapy. Practical Big Data Workshop 2021.

  • Stauffer, M., Patel, A. B., Anderson, B. M., Rigaud, B., Reber, B., Nie, W., Koay, E., & Brock, K. K. (2021). GAN-Driven Anomaly Detection for Active Learning in Medical Imaging Segmentation. Winter Institute of Medical Physics 2021.

  • Barua, S., Babei, H., Tan, X., Chen, H., Humayun, A.I., Dai, Y., Stauffer, M., Paciuc, M., Patel, R., Rusin, C., & Jain, P. (2020). A Novel Algorithm for Early Detection of Junctional Ectopic Tachycardia in Patients with Congenital Heart Disease. 10th World Congress of the World Federation of Pediatric Intensive & Critical Care Societies.

Oral Presentations

  • Woodland, M., Patel, N., Al Taie, M., Yung, J.P., Netherton, T.J., Patel, A.B., & Brock, K.K. (2023). Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging 2023.

  • Woodland, M., O’Connor, C., Wood, J. Patel, A.B., & Brock, K.K. (2023). Interpretable Out-of-Distribution Detection with Generative Adversarial Networks. American Association of Physicists in Medicine 65th Annual Meeting & Exhibition.

  • Woodland, M., Patel, A.B., & Brock, K.K. (2023). Interpretable Out-of-Distribution Detection for Medical Images using Generative Adversarial Networks and the MIDRC Data Repository. Practical Big Data Workshop 2023.

  • Woodland, M., Wood, J., Anderson, B.M., Kundu, S., Lin, E., Koay, E., Odisio, B., Chung, C., Kang, H.C., Venkatesan, A., Yedururi, S., De, B., Lin, Y., Patel, A.B., & Brock, K.K. (2022). Comparing Transfer Learning, Data Augmentation, and Data Expansion in the Improvement of Medical Image Generation. American Association of Physicists in Medicine 64th Annual Meeting & Exhibition.

  • Woodland, M., Patel, A.B., & Brock, K.K. (2022). StyleGAN2-based Out-of-Distribution Detection in Computed Tomography. Practical Big Data Workshop 2022.

  • Woodland, M., Anderson, B. M., Wood, J., Lin, E., Koay, E., Odisio, B., Patel, A. B., & Brock, K. K. (2022). Houston, Our AI Models Have a Problem! 2022 Southwest Chapter of American Association of Physicists in Medicine Annual Meeting – MedPhys Slam 2022.

  • Woodland, M., Patel, A.B., Anderson, B.M., Lin, E., Koay, E., Odisio, B., & Brock, K.K. (2021). GAN-Driven Anomaly Detection for Active Learning in Medical Imaging Segmentation. American Association of Physicists in Medicine 63rd Annual Meeting & Exhibition 2021. session

  • Kimmons, R., McGuire, K., Stauffer, M., Jones, E.J., Gregson, M., & Austin, M. (2016). Understanding LDS Twitter use. Instructional Design and Learning Community Conference 2016.

Contributions