Jie Ying Wu

According to our database, Jie Ying Wu authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy.

John J. Han, Ayberk Acar, Nicholas L. Kavoussi, Jie Ying Wu

CoRR, 2024

Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition.

Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer

CoRR, 2024

Depth Anything in Medical Images: A Comparative Study.

John J. Han, Ayberk Acar, Callahan Henry, Jie Ying Wu

CoRR, 2024

2023

Eye Tracking for Tele-robotic Surgery: A Comparative Evaluation of Head-worn Solutions.

Regine Büter, Roger D. Soberanis-Mukul, Paola Ruiz Puentes, Ahmed Ghazi, Jie Ying Wu, Mathias Unberath

CoRR, 2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.

Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack H. Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc

CoRR, 2023

Eye gaze metrics for skill assessment and feedback in kidney stone surgery.

Yizhou Li, Amy Reed, Nicholas L. Kavoussi, Jie Ying Wu

Int. J. Comput. Assist. Radiol. Surg., 2023

Rethinking causality-driven robot tool segmentation with temporal constraints.

Hao Ding, Jie Ying Wu, Zhaoshuo Li, Mathias Unberath

Int. J. Comput. Assist. Radiol. Surg., 2023

2022

Open Simulation Environment for Learning and Practice of Robot-Assisted Surgical Suturing.

Adnan Munawar, Jie Ying Wu, Gregory S. Fischer, Russell H. Taylor, Peter Kazanzides

IEEE Robotics Autom. Lett., 2022

CaRTS: Causality-Driven Robot Tool Segmentation from Vision and Kinematics Data.

Hao Ding, Jintan Zhang, Peter Kazanzides, Jie Ying Wu, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Capacitive Tactile Sensor with Stacked Structure and Hybrid Fabrication for Multiaxial Force Decoupling.

Jie Ying Wu, Padmanabh P. Pancham, Tzu-Yi Hsu, Anupam Mukherjee, Cheng-Yao Lo

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021

A Framework for Customizable Multi-User Teleoperated Control.

Adnan Munawar, Jie Ying Wu, Russell H. Taylor, Peter Kazanzides, Gregory S. Fischer

IEEE Robotics Autom. Lett., 2021

Cross-modal self-supervised representation learning for gesture and skill recognition in robotic surgery.

Jie Ying Wu, Aniruddha Tamhane, Peter Kazanzides, Mathias Unberath

Int. J. Comput. Assist. Radiol. Surg., 2021

An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma.

Anna Zapaishchykova, David Dreizin, Zhaoshuo Li, Jie Ying Wu, Shahrooz Faghihroohi, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Robot Force Estimation with Learned Intraoperative Correction.

Jie Ying Wu, Nural Yilmaz, Ugur Tümerdem, Peter Kazanzides

Proceedings of the International Symposium on Medical Robotics, 2021

Learning Soft-Tissue Simulation from Models and Observation.

Jie Ying Wu, Adnan Munawar, Mathias Unberath, Peter Kazanzides

Proceedings of the International Symposium on Medical Robotics, 2021

Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery.

Yonghao Long, Jie Ying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Estimation of Trocar and Tool Interaction Forces on the da Vinci Research Kit with Two-Step Deep Learning.

Jie Ying Wu, Nural Yilmaz, Peter Kazanzides, Ugur Tümerdem

CoRR, 2020

Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics.

Aniruddha Tamhane, Jie Ying Wu, Mathias Unberath

CoRR, 2020

A County-level Dataset for Informing the United States' Response to COVID-19.

Benjamin D. Killeen, Jie Ying Wu, Kinjal Shah, Anna Zapaishchykova, Philipp Nikutta, Aniruddha Tamhane, Shreya Chakraborty, Jinchi Wei, Tiger Gao, Mareike Thies, Mathias Unberath

CoRR, 2020

Leveraging vision and kinematics data to improve realism of biomechanic soft tissue simulation for robotic surgery.

Jie Ying Wu, Peter Kazanzides, Mathias Unberath

Int. J. Comput. Assist. Radiol. Surg., 2020

A Deep Learning Approach to Intrinsic Force Sensing on the da Vinci Surgical Robot.

Nam Tran, Jie Ying Wu, Anton Deguet, Peter Kazanzides

Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020

Neural Network based Inverse Dynamics Identification and External Force Estimation on the da Vinci Research Kit.

Nural Yilmaz, Jie Ying Wu, Peter Kazanzides, Ugur Tümerdem

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

LumiPath - Towards Real-Time Physically-Based Rendering on Embedded Devices.

Laura Fink, Sing Chun Lee, Jie Ying Wu, Xingtong Liu, Tianyu Song, Yordanka Velikova, Marc Stamminger, Nassir Navab, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

FPGA-Based Velocity Estimation for Control of Robots with Low-Resolution Encoders.

Jie Ying Wu, Zihan Chen, Anton Deguet, Peter Kazanzides

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018