Jie Ying Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling. | Ashkan Shahbazi, Kyvia Pereira, Jon S. Heiselman, Elaheh Akbari, Annie C. Benson, Sepehr Seifi, Xinyuan Liu, Garrison Lawrence Horswill Johnston, Jie Ying Wu, Nabil Simaan, Michael I. Miga, Soheil Kolouri |
| 2026 | WACV | EndoPBR: Photorealistic Synthetic Data for Surgical 3D Vision via Physically-based Rendering. | John J. Han, Jie Ying Wu |
| 2025 | IROS | From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction. | Ayberk Acar, Mariana E. Smith, Lidia Al-Zogbi, Tanner Watts, Fangjie Li, Hao Li, Nural Yilmaz, Paul Maria Scheikl, Jesse F. d'Almeida, Susheela Sharma, Lauren Branscombe, Tayfun Efe Ertop, Robert J. Webster III, Ipek Oguz, Alan Kuntz, Axel Krieger, Jie Ying Wu |
| 2025 | MICCAI | NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery. | Ayberk Acar, Jumanh Atoum, Peter S. Connor, Clifford Pierre, Carisa N. Lynch, Nicholas L. Kavoussi, Jie Ying Wu |
| 2025 | MICCAI | From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training. | Jumanh Atoum, Fangjie Li, Ayberk Acar, Nicholas L. Kavoussi, Jie Ying Wu |
| 2025 | MICCAI | Augmented Reality-Based Guidance with Deformable Registration in Head and Neck Tumor Resection. | Qingyun Yang, Fangjie Li, Jiayi Xu, Zixuan Liu, Sindhura Sridhar, Whitney Jin, Jennifer Du, Jon S. Heiselman, Michael I. Miga, Michael Topf, Jie Ying Wu |
| 2024 | IROS | A Robotic Mediation Device for Skill Assessment and Training During Colonoscopy. | Olivia K. Richards, Elan Z. Ahronovich, Neel Shihora, Ahmet Yildiz, Jumana Atoum, Jie Ying Wu, Keith L. Obstein, Nabil Simaan |
| 2024 | IROS | A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots. | Hao Yang, Haoying Zhou, Gregory S. Fischer, Jie Ying Wu |
| 2024 | MICCAI | MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy. | John J. Han, Ayberk Acar, Nicholas L. Kavoussi, Jie Ying Wu |
| 2022 | MICCAI | CaRTS: Causality-Driven Robot Tool Segmentation from Vision and Kinematics Data. | Hao Ding, Jintan Zhang, Peter Kazanzides, Jie Ying Wu, Mathias Unberath |
| 2021 | ICRA | 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 |
| 2021 | MICCAI | An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma. | Anna Zapaishchykova, David Dreizin, Zhaoshuo Li, Jie Ying Wu, Shahrooz Faghihroohi, Mathias Unberath |
| 2020 | ICRA | Neural Network based Inverse Dynamics Identification and External Force Estimation on the da Vinci Research Kit. | Nural Yilmaz, Jie Ying Wu, Peter Kazanzides, Ugur Tmerdem |
| 2019 | MICCAI | 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 |
| 2018 | IROS | FPGA-Based Velocity Estimation for Control of Robots with Low-Resolution Encoders. | Jie Ying Wu, Zihan Chen, Anton Deguet, Peter Kazanzides |