Search Results for author: Russell H. Taylor

Found 26 papers, 12 papers with code

Context-Enhanced Stereo Transformer

1 code implementation21 Oct 2022 Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan Yuille, Yingwei Li

We construct our stereo depth estimation model, Context Enhanced Stereo Transformer (CSTR), by plugging CEP into the state-of-the-art stereo depth estimation method Stereo Transformer.

Stereo Depth Estimation Stereo Matching

SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments

1 code implementation13 Jun 2022 Cong Gao, Benjamin D. Killeen, Yicheng Hu, Robert B. Grupp, Russell H. Taylor, Mehran Armand, Mathias Unberath

Here, we demonstrate that creating realistic simulated images from human models is a viable alternative and complement to large-scale in situ data collection.

Domain Generalization Lesion Segmentation

SAGE: SLAM with Appearance and Geometry Prior for Endoscopy

1 code implementation19 Feb 2022 Xingtong Liu, Zhaoshuo Li, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

In endoscopy, many applications (e. g., surgical navigation) would benefit from a real-time method that can simultaneously track the endoscope and reconstruct the dense 3D geometry of the observed anatomy from a monocular endoscopic video.

Anatomy Simultaneous Localization and Mapping

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario

no code implementations2 Jan 2022 Yonghao Long, Jianfeng Cao, Anton Deguet, Russell H. Taylor, Qi Dou

In this paper, we develop a novel system by seamlessly merging artificial intelligence module and augmented reality visualization to automatically generate the surgical guidance for robotic surgery education.

On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation

no code implementations13 Sep 2021 Zhaoshuo Li, Nathan Drenkow, Hao Ding, Andy S. Ding, Alexander Lu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath

It is based on the idea that observed frames can be synthesized from neighboring frames if accurate depth of the scene is known - or in this case, estimated.

Depth Estimation Image Generation +2

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

no code implementations1 Jul 2021 Yonghao Long, Zhaoshuo Li, Chi Hang Yee, Chi Fai Ng, Russell H. Taylor, Mathias Unberath, Qi Dou

After that, a dynamic reconstruction algorithm which can estimate the tissue deformation and camera movement, and aggregate the information over time is proposed for surgical scene reconstruction.

Anatomy Depth Estimation +1

Neighborhood Normalization for Robust Geometric Feature Learning

1 code implementation CVPR 2021 Xingtong Liu, Benjamin D. Killeen, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

Extracting geometric features from 3D models is a common first step in applications such as 3D registration, tracking, and scene flow estimation.

Scene Flow Estimation

Medical Robots for Infectious Diseases: Lessons and Challenges from the COVID-19 Pandemic

no code implementations14 Dec 2020 Antonio Di Lallo, Robin R. Murphy, Axel Krieger, Junxi Zhu, Russell H. Taylor, Hao Su

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.


Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision

1 code implementation27 Aug 2020 David Z. Li, Masaru Ishii, Russell H. Taylor, Gregory D. Hager, Ayushi Sinha

We use three different methods to manipulate these latent representations in order to predict tool presence in each frame.

Anatomical Mesh-Based Virtual Fixtures for Surgical Robots

1 code implementation3 Jun 2020 Zhaoshuo Li, Alex Gordon, Thomas Looi, James Drake, Christopher Forrest, Russell H. Taylor

This paper presents a dynamic constraint formulation to provide protective virtual fixtures of 3D anatomical structures from polygon mesh representations.

Robotics Systems and Control Systems and Control

Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment

1 code implementation18 Mar 2020 Xingtong Liu, Maia Stiber, Jindan Huang, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

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 understand the relationship between sinus anatomy and surgical outcomes.

3D Reconstruction Anatomy

Extremely Dense Point Correspondences using a Learned Feature Descriptor

1 code implementation CVPR 2020 Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

In direct comparison to recent local and dense descriptors on an in-house sinus endoscopy dataset, we demonstrate that our proposed dense descriptor can generalize to unseen patients and scopes, thereby largely improving the performance of Structure from Motion (SfM) in terms of model density and completeness.

3D Reconstruction Anatomy +1

Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video

no code implementations6 Sep 2019 Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

We present a self-supervised learning-based pipeline for dense 3D reconstruction from full-length monocular endoscopic videos without a priori modeling of anatomy or shading.

3D Reconstruction Anatomy +1

Learning to Detect Collisions for Continuum Manipulators without a Prior Model

no code implementations12 Aug 2019 Shahriar Sefati, Shahin Sefati, Iulian Iordachita, Russell H. Taylor, Mehran Armand

Due to their flexibility, dexterity, and compact size, Continuum Manipulators (CMs) can enhance minimally invasive interventions.

Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation

2 code implementations22 Mar 2019 Robert B. Grupp, Rachel A. Hegeman, Ryan J. Murphy, Clayton P. Alexander, Yoshito Otake, Benjamin A. McArthur, Mehran Armand, Russell H. Taylor

Results: In simulation, average fragment pose errors were 1. 3{\deg}/1. 7 mm when the planned fragment matched the intraoperative fragment, 2. 2{\deg}/2. 1 mm when the plan was not updated to match the true shape, and 1. 9{\deg}/2. 0 mm when the fragment shape was intraoperatively estimated.

Pose Estimation

Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods

1 code implementation20 Feb 2019 Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Austin Reiter, Russell H. Taylor, Mathias Unberath

We present a self-supervised approach to training convolutional neural networks for dense depth estimation from monocular endoscopy data without a priori modeling of anatomy or shading.

Anatomy Computed Tomography (CT) +2

Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy

no code implementations25 Jun 2018 Xingtong Liu, Ayushi Sinha, Mathias Unberath, Masaru Ishii, Gregory Hager, Russell H. Taylor, Austin Reiter

We present a self-supervised approach to training convolutional neural networks for dense depth estimation from monocular endoscopy data without a priori modeling of anatomy or shading.

Anatomy Depth Estimation +2

Endoscopic navigation in the absence of CT imaging

no code implementations8 Jun 2018 Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor

Clinical examinations that involve endoscopic exploration of the nasal cavity and sinuses often do not have a reference image to provide structural context to the clinician.

Computed Tomography (CT)

Exploiting Partial Structural Symmetry For Patient-Specific Image Augmentation in Trauma Interventions

no code implementations9 Apr 2018 Javad Fotouhi, Mathias Unberath, Giacomo Taylor, Arash Ghaani Farashahi, Bastian Bier, Russell H. Taylor, Greg M. Osgood, M. D., Mehran Armand, Nassir Navab

The main challenge is to automatically estimate the desired plane of symmetry within the patient's pre-operative CT. We propose to estimate this plane using a non-linear optimization strategy, by minimizing Tukey's biweight robust estimator, relying on the partial symmetry of the anatomy.

Anatomy Image Augmentation

Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm

no code implementations25 Oct 2016 Seth D. Billings, Ayushi Sinha, Austin Reiter, Simon Leonard, Masaru Ishii, Gregory D. Hager, Russell H. Taylor

Functional endoscopic sinus surgery (FESS) is a surgical procedure used to treat acute cases of sinusitis and other sinus diseases.

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