2024

A.J. Miao, S. Lin, J. Lu, F. Richter, B. Ostrander, E.K. Funk, R.K. Orosco, & M.C. Yip, “HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management,” arXiv preprint arXiv:2403.16286, 2024. [arxiv]

Coauthor of “DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset,” arXiv preprint arXiv:2403.12945, 2024. [arxiv]

J.E. Katz, J. Finnegan, J. Lu, S. Lin, M.C. Yip, & R. Sur, “3D Rendering of Cystoscopy Video Footage: A Novel Method Utilizing Neural Radiance Field Processing,” in The Journal of Urology, 211(5S), p.e552, 2024. [link]

2023

Coauthor of “Open X-Embodiment: Robotic Learning Datasets and RT-X Models,” arXiv preprint arXiv:2310.08864, 2023. [arxiv]

S. Lin, A.J. Miao, A. Alabiad, F. Liu, K. Wang, J. Lu, F. Richter, & M.C. Yip, “SuPerPM: A Large Deformation-Robust Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data,” arXiv preprint arXiv:2309.13863, 2023. [arxiv]

S. Liu*, S. Lin*, J. Lu, S. Saha, A. Supikov, & M.C. Yip, “BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives,” arXiv preprint arXiv:2306.04166, 2023. [arxiv]

S. Saha, S. Liu, S. Lin, J. Lu, & M.C. Yip, “BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields,” arXiv preprint arXiv:2309.15329, 2023. [arxiv]

J. Lu, F. Richter, S. Lin, & M.C. Yip, “Tracking Snake-like Robots in the Wild Using Only a Single Camera,” arXiv preprint arXiv:2309.15700, 2023. [arxiv]

X. Liang, F. Liu, Y. Zhang, Y. Li, S. Lin, & M.C. Yip, “Real-to-Sim Deformable Object Manipulation: Optimizing Physics Models with Residual Mappings for Robotic Surgery,” arXiv preprint arXiv:2309.11656, 2023. [arxiv]

F. Qin, T. Hou, S. Lin, Kaiyuan Wang, Michael C. Yip, & Shan Yu, “AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT,” arXiv preprint arXiv:2309.08134, 2023. [arxiv]

S. Lin, Y. Zhi, & M.C. Yip, “SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation,” arXiv preprint arXiv:2303.18219, 2023. [arxiv]

S. Lin, J. Lu, F. Richter, & M.C. Yip, “Semantic-SuPer: Employing Semantic Perception for Endoscopic Tissue Identification, Reconstruction, and Tracking,” in Workshop on Integrated Perception, Planning, and Control for Physically and Contextually-Aware Robot Autonomy @ IROS, 2023. [pdf]

X. Liang, S. Lin, F. Liu, D. Schreiber, & M.C. Yip, “ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation With Lung 4DCT Images,” in IEEE Transactions on Biomedical Engineering, pp. 1-12, 2023. [pdf][github]

S. Lin, A.J. Miao, J. Lu, S. Yu, Z.Y. Chiu, F. Richter, & M.C. Yip, “Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking,” in IEEE International Conference on Robotics and Automation (ICRA), pp. 4739-4746, 2023. [pdf][github]

2022

F. Qin, S. Lin, & D. Xu, “Contour Primitive of Interest Extraction Network Based on Dual-Metric One-Shot Learning for Vision Measurement,” in IEEE Transactions on Industrial Informatics, vol. 19, no. 4, pp. 5839-5848, 2022. [pdf]

Z. Yang, S. Lin, R. Simon, and C.A. Linte, “Endoscope Localization and Dense Surgical Scene Reconstruction for Stereo Endoscopy by Unsupervised Optical Flow and Kanade-Lucas-Tomasi Tracking,” in Annual International Conference of the IEEE Engineering in Medicine & Biology Society, pp. 4839-4842, 2022. [pdf][github]

2021

S. Lin, “Vision-based Surgical Instrument Segmentation and Endoscopic Sinus Surgery Skill Assessment,” University of Washington Ph.D. Dissertation, 2021. [pdf]

S. Lin, F. Qin, H. Peng, R.A. Bly, K.S. Moe, & B. Hannaford, “Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video,” in IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 6773-6780, 2021. [pdf]

H. Peng, S. Lin, D. King, Y.H. Su, R.A. Bly, K.S. Moe, & B. Hannaford, “Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation,” arXiv preprint arXiv:2108.03534, 2021. [arxiv]

2020

S. Lin, F. Qin, Y. Li, R.A. Bly, K.S. Moe, & B. Hannaford, “LC-GAN: Image-to-Image Translation Based on Generative Adversarial Network for Endoscopic Images,” in International Conference on Intelligent Robots and Systems (IROS), pp. 2914-2920, 2020. [pdf]

F. Qin, S. Lin, Y. Li, R.A. Bly, K.S. Moe, & B. Hannaford, “Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-angle Feature Aggregation and Contour Supervision,” in IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6639-6646, 2020. [pdf]

S. Lin, X. Gu, R.A. Bly, K.S. Moe, & B. Hannaford, “Video-based Automatic and Objective Endoscopic Sinus Surgery Skill Assessment,” in SPIE Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 11315, pp. 663-670, 2020. [pdf]

2019

S. Lin, F. Qin, R.A. Bly, K.S. Moe, & B. Hannaford, “Automatic Sinus Surgery Skill Assessment Based on Instrument Segmentation and Tracking in Endoscopic Video,” in Workshop on Multiscale Multimodal Medical Imaging @ MICCAI, pp. 93-100, 2019. [pdf]

2017

S. Lin, “Monitoring of Thermal Processes for Medical Applications Using Infrared Thermography,” Vanderbilt University M.S. Thesis, 2017. [pdf]

S. Lin, L. Fichera, M.J. Fulton, & R.J. Webster III, “Don't Get Burned: Thermal Monitoring of Vessel Sealing Using a Miniature Infrared Camera,” in SPIE Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 10135, pp. 263-269, 2017. [pdf]