Haonan Peng

Surgical Robotics, Medical Devices, Machine Learning

Journals

Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation
– Peng, H., Lin, S., King, D., Su, Y. H., Abuzeid, W. M., Bly, R. A., … & Hannaford, B.
– Medical Image Analysis, 97, 103246.

Efficient Data-driven Joint-level Calibration of Cable-driven Surgical Robots
– Peng, H., Lewis, A., Su, Y. H., Lin, S., Chiang, D., … & Hannaford, B. (2024).
– Nature - npj Robotics, 2024.

Ablation Study on Features in Learning-based Joints Calibration of Cable-driven Surgical Robots
– Peng, H., Lewis, A., Su, Y. H., & Hannaford, B.
– IEEE Transactions on Automation Science and Engineering, 2025.

Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling
– King, D., Adidharma, L., Peng, H., Moe, K., Li, Y., Yang, Z., … & Bly, R. A. (2023).
– Computerized Medical Imaging and Graphics, 2023 [Link]

Multi-Frame Feature Aggregation for Real-Time Instrument Segmentation in Endoscopic Video
– Lin, S., Qin, F., Peng, H., Bly, R. A., Moe, K. S., & Hannaford, B.
– IEEE Robotics and Automation Letters, 6(4), 6773-6780, 2021.

Local Style Preservation in Improved GAN-Driven Synthetic Image Generation for Endoscopic Tool Segmentation
– Su, Y. H., Jiang, W., Chitrakar, D., Huang, K., Peng, H., & Hannaford, B.
– Sensors, 21(15), 5163. 2021.

Conferences

Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
– Peng, H., Yang, X., Su, Y., & Hannaford, B.
– IEEE International Conference on Robotics and Automation (ICRA). 2020

Expanding the Surgical Robotics Community: An Intuitive Sim-to-Real Control Framework for Raven-II with a Budget-Friendly Gamepad Controller
– Bui, M., Chalfant, N., Sun, C., Fabrega, S., Peng, H., Huang, K., & Su, Y. H.
– IEEE International Symposium on Medical Robotics (ISMR) (pp. 1-7), 2024

A Wearable Device For Postoperative Breast Cancer Rehabilitation With Machine Learning For Motion Tracking
– Zhao, Y., Adams, C. M., Davis, T., Zhao, J., O’Rourke, N., Peng, H., … & Raiti, J
– IEEE Global Humanitarian Technology Conference (GHTC) (pp. 437-440), 2022

Detection and Low-Latency Notification of Improper Backpack Posture using Deep Learning
– Hung, H. Y., Millaway, G., Mustafa, S., Peng, H., Geiger, A., & Raiti, J.
– IEEE Global Humanitarian Technology Conference (GHTC) (pp. 433-436), 2022

Patents

Cable-Driven Force Actuation System
– Peng, H., Chiang, D., Hendricks, J., Shing, J., Feng, H., Lewis, A., Su, Y. H., Hannaford, B.
– US provisional patent application (2024), MBHB Ref. 24-1522-US-PRO

Prediction of Hemodynamic Parameters from Sensor Data Using Machine Learning
– Hou, Y., Peng, H., Jense, R., Reinhall, P., Johnson, M.
– US provisional patent application (2024), UW Ref. 49629

Preprocessing of Sensor Data for Input to Machine Learning Model
– Hou, Y., Peng, H., Jense, R., Reinhall, P., Johnson, M.
– US provisional patent application (2024), UW Ref. 50155