578 citations · 3k across the 77 of their papers we have counts for
13 papers · 1 filter
SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction
P. J. "Eddie'' Edwards, Dimitris Psychogyios, Stefanie Speidel +2
In computer vision, reference datasets have been highly successful in promoting algorithmic development in stereo reconstruction. Surgical scenes gives rise to specific problems, i…
Surgical Data Science -- from Concepts toward Clinical Translation
Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya +47
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a…
Detecting small polyps using a Dynamic SSD-GAN
Daniel C. Ohrenstein, Patrick Brandao, Daniel Toth +3
Endoscopic examinations are used to inspect the throat, stomach and bowel for polyps which could develop into cancer. Machine learning systems can be trained to process colonoscopy…
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary +34
The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy…
Surgical Video Motion Magnification with Suppression of Instrument Artefacts
Mirek Janatka, Hani J. Marcus, Neil L. Dorward +1
Video motion magnification could directly highlight subsurface blood vessels in endoscopic video in order to prevent inadvertent damage and bleeding. Applying motion filters to the…
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking
Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen +7
Real-time tool segmentation is an essential component in computer-assisted surgical systems. We propose a novel real-time automatic method based on Fully Convolutional Networks (FC…
Intraoperative Liver Surface Completion with Graph Convolutional VAE
Simone Foti, Bongjin Koo, Thomas Dowrick +5
In this work we propose a method based on geometric deep learning to predict the complete surface of the liver, given a partial point cloud of the organ obtained during the surgica…
Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings
Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov +2
To what extent are two images picturing the same 3D surfaces? Even when this is a known scene, the answer typically requires an expensive search across scale space, with matching a…
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
Emanuele Colleoni, Philip Edwards, Danail Stoyanov
Semantic tool segmentation in surgical videos is important for surgical scene understanding and computer-assisted interventions as well as for the development of robotic automation…
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd +6
During fetoscopic laser photocoagulation, a treatment for twin-to-twin transfusion syndrome (TTTS), the clinician first identifies abnormal placental vascular connections and laser…
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic
Yipeng Hu, Joseph Jacob, Geoffrey JM Parker +3
The COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2, emerged into a world being rapidly transformed by artificial intelligence (AI) based on big da…
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov
Surgical gesture recognition is important for surgical data science and computer-aided intervention. Even with robotic kinematic information, automatically segmenting surgical step…
2018 Robotic Scene Segmentation Challenge
Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…