Qingyun (Anne) Yang

Qingyun (Anne) Yang

she/her/hers

Incoming PhD @ MIT EECS

Publications

IN SUBMISSION / UNDER REVIEW

  1. Qingyun Yang, Jon S. Heiselman, Ayberk Acar, Morgan J. Ringel, Michael I. Miga, Matthieu Chabanas, Michael C. Topf, and Jie Ying Wu, “Contour-Constrained Deformable Registration with Parameter Characterization for Head and Neck Surgical Guidance” in Journal of Medical Imaging.

PUBLISHED

  1. Yang, Q.*, Li, F.*, Xu, J., Liu, Z., Sridhar, S., Jin, W., … & Wu, J. Y. (2025, September). Augmented Reality-Based Guidance with Deformable Registration in Head and Neck Tumor Resection. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 45-54). Cham: Springer Nature Switzerland. (accepted paper, invited oral presentation, paper highlight)

  2. Yang, Q., Acar, A., Ringel, M. J., Heiselman, J. S., Miga, M. I., Topf, M., & Wu, J. Y. (2025, April). Nonrigid alignment of en bloc tissue specimen to resection bed to enhance correspondence for re-resection guidance. In Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling (Vol. 13408, pp. 238-246). SPIE. (accepted paper, oral presentation)

  3. Su, D., Yang, Q., Van Schaik, K., Remedios, L., Zhang, Y., Li, T., Maldonado, F., Sandler, K., Dawant, B., & Landman, B., “BPPR: A Framework for Content Navigation in Multi-Contrast Body CT Images using Deep Regression Models,” in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2026.3718346

  4. Li, H., Wang, J., Kumar, N., d’Almeida, J., Lu, D., Acar, A., Han, J., Yang, Q., Wu, J. Y., Webster III, R. J., & Oguz, I. (2025, April). Automated segmentation of central airway obstruction from endoscopic video stream with deep learning. In Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling (Vol. 13408, pp. 113-119). SPIE.

  5. Ringel, M., Acar, A., Yang, Q., Aweeda, M., Fassler, C., Heiselman, Jon., Wu, J. Y., Topf, M., Miga, M. “Specimen-to-tumor bed deformable registration to inform re-resection in otolaryngologic procedures.”in Medical Image Understanding and Analysis, 92. Manchester, UK: Frontiers Media SA, 2024.

“*” Denotes Equal Contribution/Guidance