143 citations · 544 across the 42 of their papers we have counts for
45 papers
Applications of Uncalibrated Image Based Visual Servoing in Micro- and Macroscale Robotics
Yifan Yin, Yutai Wang, Yunpu Zhang +2
We present a robust markerless image based visual servoing method that enables precision robot control without hand-eye and camera calibrations in 1, 3, and 5 degrees-of-freedom. T…
A force-sensing surgical drill for real-time force feedback in robotic mastoidectomy
Yuxin Chen, Anna Goodridge, Manish Sahu +7
Purpose: Robotic assistance in otologic surgery can reduce the task load of operating surgeons during the removal of bone around the critical structures in the lateral skull base.…
A Data-Driven Model with Hysteresis Compensation for I2RIS Robot
Mojtaba Esfandiari, Yanlin Zhou, Shervin Dehghani +6
Retinal microsurgery is a high-precision surgery performed on an exceedingly delicate tissue. It now requires extensively trained and highly skilled surgeons. Given the restricted…
Improving Surgical Situational Awareness with Signed Distance Field: A Pilot Study in Virtual Reality
Hisashi Ishida, Juan Antonio Barragan, Adnan Munawar +6
The introduction of image-guided surgical navigation (IGSN) has greatly benefited technically demanding surgical procedures by providing real-time support and guidance to the surge…
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario
Yonghao Long, Jianfeng Cao, Anton Deguet +2
Robot-assisted surgery has become progressively more and more popular due to its clinical advantages. In the meanwhile, the artificial intelligence and augmented reality in robotic…
Temporally Consistent Online Depth Estimation in Dynamic Scenes
Zhaoshuo Li, Wei Ye, Dilin Wang +4
Temporally consistent depth estimation is crucial for online applications such as augmented reality. While stereo depth estimation has received substantial attention as a promising…
On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation
Zhaoshuo Li, Nathan Drenkow, Hao Ding +5
Scene depth estimation from stereo and monocular imagery is critical for extracting 3D information for downstream tasks such as scene understanding. Recently, learning-based method…
The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective
Mathias Unberath, Cong Gao, Yicheng Hu +4
Image-based navigation is widely considered the next frontier of minimally invasive surgery. It is believed that image-based navigation will increase the access to reproducible, sa…
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
Yonghao Long, Zhaoshuo Li, Chi Hang Yee +4
Reconstructing the scene of robotic surgery from the stereo endoscopic video is an important and promising topic in surgical data science, which potentially supports many applicati…
Medical Robots for Infectious Diseases: Lessons and Challenges from the COVID-19 Pandemic
Antonio Di Lallo, Robin R. Murphy, Axel Krieger +3
Medical robots can play an important role in mitigating the spread of infectious diseases and delivering quality care to patients during the COVID-19 pandemic. Methods and procedur…
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers
Zhaoshuo Li, Xingtong Liu, Nathan Drenkow +4
Stereo depth estimation relies on optimal correspondence matching between pixels on epipolar lines in the left and right images to infer depth. In this work, we revisit the problem…
Telerobotic Operation of Intensive Care Unit Ventilators
Balazs P. Vagvolgyi, Mikhail Khrenov, Jonathan Cope +5
Since the first reports of a novel coronavirus (SARS-CoV-2) in December 2019, over 33 million people have been infected worldwide and approximately 1 million people worldwide have…
Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision
David Z. Li, Masaru Ishii, Russell H. Taylor +2
In this work, we explore whether it is possible to learn representations of endoscopic video frames to perform tasks such as identifying surgical tool presence without supervision.…
A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance
Mareike Thies, Jan-Nico Zäch, Cong Gao +4
During spinal fusion surgery, screws are placed close to critical nerves suggesting the need for highly accurate screw placement. Verifying screw placement on high-quality tomograp…
Anatomical Mesh-Based Virtual Fixtures for Surgical Robots
Zhaoshuo Li, Alex Gordon, Thomas Looi +3
This paper presents a dynamic constraint formulation to provide protective virtual fixtures of 3D anatomical structures from polygon mesh representations. The proposed approach can…
A Versatile Data-Driven Framework for Model-Independent Control of Continuum Manipulators Interacting With Obstructed Environments With Unknown Geometry and Stiffness
Farshid Alambeigi, Zerui Wang, Yun-Hui Liu +2
This paper addresses the problem of controlling a continuum manipulator (CM) in free or obstructed environments with no prior knowledge about the deformation behavior of the CM and…
A Mosquito Pick-and-Place System for PfSPZ-based Malaria Vaccine Production
Henry Phalen, Prasad Vagdargi, Mariah L. Schrum +8
The treatment of malaria is a global health challenge that stands to benefit from the widespread introduction of a vaccine for the disease. A method has been developed to create a…
Extremely Dense Point Correspondences using a Learned Feature Descriptor
Xingtong Liu, Yiping Zheng, Benjamin Killeen +4
High-quality 3D reconstructions from endoscopy video play an important role in many clinical applications, including surgical navigation where they enable direct video-CT registrat…
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
Cong Gao, Xingtong Liu, Wenhao Gu +4
Differentiable rendering is a technique to connect 3D scenes with corresponding 2D images. Since it is differentiable, processes during image formation can be learned. Previous app…
Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment
Xingtong Liu, Maia Stiber, Jindan Huang +4
Reconstructing accurate 3D surface models of sinus anatomy directly from an endoscopic video is a promising avenue for cross-sectional and longitudinal analysis to better understan…
Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration
Robert Grupp, Mathias Unberath, Cong Gao +7
Fluoroscopy is the standard imaging modality used to guide hip surgery and is therefore a natural sensor for computer-assisted navigation. In order to efficiently solve the complex…
Fast and Automatic Periacetabular Osteotomy Fragment Pose Estimation Using Intraoperatively Implanted Fiducials and Single-View Fluoroscopy
Robert Grupp, Ryan Murphy, Rachel Hegeman +6
Accurate and consistent mental interpretation of fluoroscopy to determine the position and orientation of acetabular bone fragments in 3D space is difficult. We propose a computer…
Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies
Robert Grupp, Yoshito Otake, Ryan Murphy +3
Computer-aided surgical systems commonly use preoperative CT scans when performing pelvic osteotomies for intraoperative navigation. These systems have the potential to improve the…
Patch-Based Image Similarity for Intraoperative 2D/3D Pelvis Registration During Periacetabular Osteotomy
Robert Grupp, Mehran Armand, Russell Taylor
Periacetabular osteotomy is a challenging surgical procedure for treating developmental hip dysplasia, providing greater coverage of the femoral head via relocation of a patient's…