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

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

collaborators
Showing 2018Show all

13 papers · 1 filter

cs.CV2018★ 283 cited

Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification

Marc Combalia, Veronica Vilaplana

We propose a patch sampling strategy based on a sequential Monte-Carlo method for high resolution image classification in the context of Multiple Instance Learning. When compared w…

physics.med-ph2018★ 5 cited

Spectral imaging of thermal damage induced during microwave ablation in the liver

Neil T. Clancy, Kurinchi Gurusamy, Geoffrey Jones +4

Induction of thermal damage to tissue through delivery of microwave energy is frequently applied in surgery to destroy diseased tissue such as cancer cells. Minimization of unwante…

cs.CV2018

FaceOff: Anonymizing Videos in the Operating Rooms

Evangello Flouty, Odysseas Zisimopoulos, Danail Stoyanov

Video capture in the surgical operating room (OR) is increasingly possible and has potential for use with computer assisted interventions (CAI), surgical data science and within sm…

cs.RO2018

Affordable Mobile-based Simulator for Robotic Surgery

Piyamate Wisanuvej, Petros Giataganas, Paul Riordan +2

Robotic surgery and novel surgical instrumentation present great potentials towards safer, more accurate and consistent minimally invasive surgery. However, their adoption is depen…

cs.CV2018★ 11 cited

DeepPhase: Surgical Phase Recognition in CATARACTS Videos

Odysseas Zisimopoulos, Evangello Flouty, Imanol Luengo +4

Automated surgical workflow analysis and understanding can assist surgeons to standardize procedures and enhance post-surgical assessment and indexing, as well as, interventional m…

cs.CV2018★ 1 cited

Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks

Evangelos B. Mazomenos, Kamakshi Bansal, Bruce Martin +3

Transoesophageal echocardiography (TEE) is a valuable diagnostic and monitoring imaging modality. Proper image acquisition is essential for diagnosis, yet current assessment techni…

cs.CV2018

Higher Order of Motion Magnification for Vessel Localisation in Surgical Video

Mirek Janatka, Ashwin Sridhar, John Kelly +1

Locating vessels during surgery is critical for avoiding inadvertent damage, yet vasculature can be difficult to identify. Video motion magnification can potentially highlight vess…

cs.CY2018★ 10 cited

Surgical Data Science: A Consensus Perspective

Lena Maier-Hein, Matthias Eisenmann, Carolin Feldmann +25

Surgical data science is a scientific discipline with the objective of improving the quality of interventional healthcare and its value through capturing, organization, analysis, a…

cs.CV2018★ 387 cited

Why rankings of biomedical image analysis competitions should be interpreted with care

Lena Maier-Hein, Matthias Eisenmann, Annika Reinke +35

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of c…

cs.CV2018★ 48 cited

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery

Sebastian Bodenstedt, Max Allan, Anthony Agustinos +17

Intraoperative segmentation and tracking of minimally invasive instruments is a prerequisite for computer- and robotic-assisted surgery. Since additional hardware like tracking sys…

cs.CV2018★ 6 cited

Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia

Luis C. Garcia-Peraza-Herrera, Martin Everson, Wenqi Li +10

In this work, we have concentrated our efforts on the interpretability of classification results coming from a fully convolutional neural network. Motivated by the classification o…

cs.RO2018

Automated pick-up of suturing needles for robotic surgical assistance

Claudia D'Ettorre, George Dwyer, Xiaofei Du +4

Robot-assisted laparoscopic prostatectomy (RALP) is a treatment for prostate cancer that involves complete or nerve sparing removal prostate tissue that contains cancer. After remo…

cs.CV2018★ 37 cited

Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas

Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka +7

Irreversible electroporation (IRE) is a soft tissue ablation technique suitable for treatment of inoperable tumours in the pancreas. The process involves applying a high voltage el…