Ziheng Wang

According to our database, Ziheng Wang authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.

Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy

Medical Image Anal., October, 2023

Automatic Detection of Out-of-Body Frames in Surgical Videos for Privacy Protection Using Self-Supervised Learning and Minimal Labels.

Ziheng Wang, Xi Liu, Conor Perreault, Anthony M. Jarc

J. Medical Robotics Res., 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

Uncertainty-aware Self-supervised Learning for Cross-domain Technical Skill Assessment in Robot-assisted Surgery.

Ziheng Wang, Andrea Mariani, Arianna Menciassi, Elena De Momi, Ann Majewicz Fey

CoRR, 2023

2022

Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge.

Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Ziheng Wang, Max Berniker, Satoshi Kondo, Emanuele Colleoni, Dimitris Psychogyios, Yueming Jin, Jinfan Zhou, Evangelos B. Mazomenos, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc

CoRR, 2022

2021

Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge.

Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Ziheng Wang, Satoshi Kondo, Emanuele Colleoni, Beatrice van Amsterdam, Razeen Hussain, Raabid Hussain, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc

CoRR, 2021

2020

A Comparative Human-Centric Analysis of Virtual Reality and Dry Lab Training Tasks on the da Vinci Surgical Platform.

Ziheng Wang, Michael Kasman, Marco A. Martinez, Robert Rege, Herbert Zeh, Daniel Scott, Ann Majewicz Fey

J. Medical Robotics Res., 2020

2018

Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery.

Ziheng Wang, Ann Majewicz Fey

Int. J. Comput. Assist. Radiol. Surg., 2018

Toward Intuitive Teleoperation in Surgery: Human-Centric Evaluation of Teleoperation Algorithms for Robotic Needle Steering.

Ziheng Wang, Isabella Reed, Ann Majewicz Fey

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

SATR-DL: Improving Surgical Skill Assessment And Task Recognition In Robot-Assisted Surgery With Deep Neural Networks.

Ziheng Wang, Ann Majewicz Fey

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018