Scholarly Work

  • Hembroff, Guy, Chad Klochko, Joseph Craig, Harikrishnan Changarnkothapeecherikkal, and Richard Q. Loi. “Improved Automated Quality Control of Skeletal Wrist Radiographs Using Deep Multitask Learning.” Journal of Imaging Informatics in Medicine (2024): 1-12.
  • Hembroff G., Naseem, S. “Advancing Health Literacy through Generative AI: The Utilization of Open-source LLMs for Text Simplification and Readability”, IEEE CPS HIMS ’24 Conference, July, 2024.
  • Klochko C, Xiemusiye A, Hembroff G. Lung Nodule Classification from Radiology Report Using Bidirectional Encoder Representations from Transformers. Society for Imaging Informatics in Medicine (SIIM). Annual Meeting Conference. June, 2023.
  • Hembroff G, Klochko C, Craig, J, Changarnkothapeecherikkal H. Automated Quality Control of Musculoskeletal Wrist Radiographs using Deep Learning Multi-task Learning. Society for Imaging Informatics in Medicine (SIIM). Annual Meeting Conference. June, 2023.
  • Hadied O, Hembroff G, Dennison J, Mittapally N, Klochko C, Craig J., Problems Associated with Development of Neural Networks for Automated Quality Control of MSK Radiographs. Society for Skeletal Radiology (SSR), March, 2022.
  • Hembroff, G. “Improved Disease Surveillance, Population Health Management, and Patient Engagement through Innovative AI”, Health Information Management Systems Society (HIMSS) Webinar, February, 2022.
  • Klochko C, Hembroff G, Gannamani H, Meta V, True A, Ogilvie J, Vummidi D. Automated Lung Nodule Classification from Dictated Report Findings using a Voting Ensemble Machine Learning Model. Society for Imaging Informatics in Medicine – Conference on Machine Intelligence in Medical Imaging,.September, 2021
  • Hembroff G.C., Boyle D., Van Wagner T. “The Design of a Holistic mHealth Community Library Model and Its Impact on Empowering Rural America.” Wireless Mobile Communication and Healthcare: 8th EAI International Conference, MobiHealth 2019, Dublin, Ireland, November 14-15, 2019, Proceedings. Vol. 320. Springer Nature, 2020.
  • Matos, Marcos Almeida., Ferraz, Marina., Silva Lopes, Paloma., Hembroff, Guy. Função da Mão em Pacientes com Mucopolissacaridoses. Revista Científica Hospital Santa Izabel 3.1 (2019): 60-61.
  • Alaraje, N., Meadows, L. A., Fiss, L. K., Amato-Henderson, S. L., Hembroff, G. C., Sergeyev, A., & Irwin, J. L. “Engineering Technology Scholars-IMProving Retention and Student Success (ETS-IMPRESS): First Year Progress Report”. In 2019 ASEE Annual Conference & Exposition. June 2019.
  • Osman, Sagda EK, Guy C. Hembroff, and Marcos Almeida Matos. “Optimization of a Markerless Gait Analysis Application Aimed at Orthopedic Care for Developing Countries”. In 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pp. 1-8. IEEE, August, 2018.
  • Osman, S.E., Hembroff, G. and Matos, M.A., 2018, June. “A Novel Kinect-Based Algorithm for Inferring the Position of the Lower Body Joints Using Human Gait Pattern”. In 2018 IEEE International Conference on Healthcare Informatics (ICHI) (pp. 307-312). IEEE.
  • Matos, M. A., Barboza, I. C. F., Ferraz, M. V. A. R., & Hembroff, G. (2018). Michigan Hand Outcomes Questionnaire for the Evaluation of Patients with Mucopolysaccharidosis. Bulletin of the Hospital for Joint Disease, 76(2), 112.
  • Hembroff, Guy, and Marcos Almeida Matos. “Bridging the Technology Gap in Health Care: Developing a Model to Better Help those who Help Others.” Brazilian Journal of Medicine and Human Health 4, no. 4 (2016).
  • Hembroff, G. “Improving Patient Safety, Health Data Accuracy, and Remote Self-management of Health through the Establishment of a Biometric-based Global UHID”. Proceedings of Global Telehealth Conference (GT’16). 2016. Auckland, New Zealand.
  • Hembroff, G. “Improving Personal and Population Health Analytics using Biometric-based UHID over Unlike Systems”. Proceedings of the Health Informatics New Zealand Conference (HINZ’16). 2016. Auckland, New Zealand.