activity
20162024
most citedSurgical Data Science: Enabling Next-Generation Surgery

578 citations · 3k across the 77 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

cs.CV2021

3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces

Simone Foti, Bongjin Koo, Danail Stoyanov +1

Learning a disentangled, interpretable, and structured latent representation in 3D generative models of faces and bodies is still an open problem. The problem is particularly acute…

eess.IV2021

2020 CATARACTS Semantic Segmentation Challenge

Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi +37

Surgical scene segmentation is essential for anatomy and instrument localization which can be further used to assess tissue-instrument interactions during a surgical procedure. In…

cs.CV2021★ 1 cited

AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

Sophia Bano, Brian Dromey, Francisco Vasconcelos +4

During pregnancy, ultrasound examination in the second trimester can assess fetal size according to standardized charts. To achieve a reproducible and accurate measurement, a sonog…

cs.CV2021

FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset

Sophia Bano, Alessandro Casella, Francisco Vasconcelos +9

Fetoscopy laser photocoagulation is a widely used procedure for the treatment of Twin-to-Twin Transfusion Syndrome (TTTS), that occur in mono-chorionic multiple pregnancies due to…

cs.RO2021

Autonomous object harvesting using synchronized optoelectronic microrobots

Christopher Bendkowski, Laurent Mennillo, Tao Xu +9

Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micromanipulation technology based on the use of light induced dielectrophoresis to move small dielectric structu…

cs.CV2021★ 13 cited

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

Aneeq Zia, Kiran Bhattacharyya, Xi Liu +10

Surgical data science is revolutionizing minimally invasive surgery by enabling context-aware applications. However, many challenges exist around surgical data (and health data, mo…

eess.IV2021★ 31 cited

Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology

Luis C. Garcia-Peraza-Herrera, Martin Everson, Laurence Lovat +6

Purpose. Early squamous cell neoplasia (ESCN) in the oesophagus is a highly treatable condition. Lesions confined to the mucosal layer can be curatively treated endoscopically. We…

cs.CV2021★ 53 cited

Image Compositing for Segmentation of Surgical Tools without Manual Annotations

Luis C. Garcia-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre +3

Producing manual, pixel-accurate, image segmentation labels is tedious and time-consuming. This is often a rate-limiting factor when large amounts of labeled images are required, s…

cs.CV2021★ 158 cited

Gesture Recognition in Robotic Surgery: a Review

Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov

Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of f…

cs.CV2021★ 24 cited

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

Max Allan, Jonathan Mcleod, Congcong Wang +21

The stereo correspondence and reconstruction of endoscopic data sub-challenge was organized during the Endovis challenge at MICCAI 2019 in Shenzhen, China. The task was to perform…

cs.CV2021★ 69 cited

Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks

Patrick Brandao, Odysseas Zisimopoulos, Evangelos Mazomenos +9

Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable…