Search Results for author:
Found 20 papers, 7 papers with code
Measuring proximity to standard planes during fetal brain ultrasound scanning
This paper introduces a novel pipeline designed to bring ultrasound (US) plane pose estimation closer to clinical use for more effective navigation to the standard planes (SPs) in the fetal brain.
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction
Within colorectal cancer diagnostics, conventional colonoscopy techniques face critical limitations, including a limited field of view and a lack of depth information, which can impede the detection of precancerous lesions.
Novel View Synthesis
Simultaneous Localization and Mapping
+1
NeRF-Supervised Feature Point Detection and Description
Feature point detection and description is the backbone for various computer vision applications, such as Structure-from-Motion, visual SLAM, and visual place recognition.
Online estimation of the hand-eye transformation from surgical scenes
To solve the hand-eye problem in robotic-assisted minimally invasive surgery and also simplify the calibration procedure by using neural network method cooporating with the new objective function.
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery
This assessment uses benchmarking metrics that were purposely developed for this challenge, to verify the efficacy of unsupervised deep learning algorithms in tracking soft-tissue.
Ultrasound Plane Pose Regression: Assessing Generalized Pose Coordinates in the Fetal Brain
In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a significant challenge in skill acquisition.
Retrieval of surgical phase transitions using reinforcement learning
In minimally invasive surgery, surgical workflow segmentation from video analysis is a well studied topic.
Learning-Based Keypoint Registration for Fetoscopic Mosaicking
This surgery is minimally invasive and relies on fetoscopy.
Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings
For this challenge, we released a dataset of 2060 images, pixel-annotated for vessels, tool, fetus and background classes, from 18 in-vivo TTTS fetoscopy procedures and 18 short video clips.
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence
In this paper, we aim at removing specular highlights from endoscopic videos using machine learning.
DeSmoke-LAP: improved unpaired image-to-image translation for desmoking in laparoscopic surgery
Robotic-assisted laparoscopic surgery has become the trend in medicine thanks to its convenience and lower risk of infection against traditional open surgery.
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes
To achieve a reproducible and accurate measurement, a sonographer needs to identify three standard 2D planes of the fetal anatomy (head, abdomen, femur) and manually mark the key anatomical landmarks on the image for accurate biometry and fetal weight estimation.
FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset
Through the \textit{Fetoscopic Placental Vessel Segmentation and Registration (FetReg)} challenge, we present a large-scale multi-centre dataset for the development of generalized and robust semantic segmentation and video mosaicking algorithms for the fetal environment with a focus on creating drift-free mosaics from long duration fetoscopy videos.
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
We propose a solution utilising the U-Net architecture for performing placental vessel segmentation in fetoscopic videos.
Deep Sequential Mosaicking of Fetoscopic Videos
Mosaicking can align multiple overlapping images to generate an image with increased FoV, however, existing techniques apply poorly to fetoscopy due to the low visual quality, texture paucity, and hence fail in longer sequences due to the drift accumulated over time.
Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation
Accounting for 26% of all new cancer cases worldwide, breast cancer remains the most common form of cancer in women.
Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas
Irreversible electroporation (IRE) is a soft tissue ablation technique suitable for treatment of inoperable tumours in the pancreas.
Refractive Structure-From-Motion Through a Flat Refractive Interface
By explicitly considering a refractive interface, we develop a succinct derivation of the refractive fundamental matrix in the form of the generalised epipolar constraint for an axial camera.
A comparative study of breast surface reconstruction for aesthetic outcome assessment
Breast cancer is the most prevalent cancer type in women, and while its survival rate is generally high the aesthetic outcome is an increasingly important factor when evaluating different treatment alternatives.
Similarity Registration Problems for 2D/3D Ultrasound Calibration
The needle is tracked as a 3D line, and is scanned by the ultrasound as either a 3D line (3D US) or as a 2D point (2D US).
