Search Results for author: Masaru Ishii

Found 13 papers, 7 papers with code

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.

Simultaneous Localization and Mapping

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

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.

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

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 Optical Flow Estimation

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 Self-Supervised Learning

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.

Computed Tomography (CT) Depth Estimation +1

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.

Depth Estimation Self-Supervised Learning

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)

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.

Automated Objective Surgical Skill Assessment in the Operating Room Using Unstructured Tool Motion

no code implementations18 Dec 2014 Piyush Poddar, Narges Ahmidi, S. Swaroop Vedula, Lisa Ishii, Gregory D. Hager, Masaru Ishii

Previous work on surgical skill assessment using intraoperative tool motion in the operating room (OR) has focused on highly-structured surgical tasks such as cholecystectomy.

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