Search Results for author: Danail Stoyanov

Found 57 papers, 15 papers with code

Task-Aware Active Learning for Endoscopic Image Analysis

1 code implementation7 Apr 2022 Shrawan Kumar Thapa, Pranav Poudel, Binod Bhattarai, Danail Stoyanov

Semantic segmentation of polyps and depth estimation are two important research problems in endoscopic image analysis.

Active Learning Depth Estimation +1

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation

no code implementations29 Mar 2022 Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov

Automatic surgical scene segmentation is fundamental for facilitating cognitive intelligence in the modern operating theatre.

Contrastive Learning Scene Segmentation

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

1 code implementation24 Nov 2021 Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson

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


AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

no code implementations12 Jul 2021 Sophia Bano, Brian Dromey, Francisco Vasconcelos, Raffaele Napolitano, Anna L. David, Donald M. Peebles, Danail Stoyanov

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

1 code implementation10 Jun 2021 Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Sara Moccia, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Danail Stoyanov

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.

Semantic Segmentation

Autonomous object harvesting using synchronized optoelectronic microrobots

no code implementations8 Mar 2021 Christopher Bendkowski, Laurent Mennillo, Tao Xu, Mohamed Elsayed, Filip Stojic, Harrison Edwards, Shuailong Zhang, Cindi Morshead, Vijay Pawar, Aaron R. Wheeler, Danail Stoyanov, Michael Shaw

Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micromanipulation technology based on the use of light induced dielectrophoresis to move small dielectric structures (microrobots) across a photoconductive substrate.

Gesture Recognition in Robotic Surgery: a Review

no code implementations29 Jan 2021 Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov

This paper reviews the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery focusing on recent data-driven approaches and outlines the open questions and future research directions.

Activity Recognition Gesture Recognition +4

SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction

1 code implementation22 Dec 2020 P. J. "Eddie'' Edwards, Dimitris Psychogyios, Stefanie Speidel, Lena Maier-Hein, Danail Stoyanov

The SERV-CT dataset provides an easy to use stereoscopic validation for surgical applications with smooth reference disparities and depths with coverage over the majority of the endoscopic images.

3D Reconstruction

Detecting small polyps using a Dynamic SSD-GAN

no code implementations29 Oct 2020 Daniel C. Ohrenstein, Patrick Brandao, Daniel Toth, Laurence Lovat, Danail Stoyanov, Peter Mountney

Endoscopic examinations are used to inspect the throat, stomach and bowel for polyps which could develop into cancer.

Region Proposal

Surgical Video Motion Magnification with Suppression of Instrument Artefacts

no code implementations16 Sep 2020 Mirek Janatka, Hani J. Marcus, Neil L. Dorward, Danail Stoyanov

Video motion magnification could directly highlight subsurface blood vessels in endoscopic video in order to prevent inadvertent damage and bleeding.


Intraoperative Liver Surface Completion with Graph Convolutional VAE

no code implementations8 Sep 2020 Simone Foti, Bongjin Koo, Thomas Dowrick, Joao Ramalhinho, Moustafa Allam, Brian Davidson, Danail Stoyanov, Matthew J. Clarkson

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 surgical laparoscopic procedure.

Data Augmentation

Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings

1 code implementation ECCV 2020 Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov

Even when this is a known scene, the answer typically requires an expensive search across scale space, with matching and geometric verification of large sets of local features.

Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery

no code implementations17 Jul 2020 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.

Scene Understanding

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

1 code implementation8 Jul 2020 Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel Vander Poorten, Tom Vercauteren, Sebastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov

We propose a solution utilising the U-Net architecture for performing placental vessel segmentation in fetoscopic videos.

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

no code implementations19 May 2020 Yipeng Hu, Joseph Jacob, Geoffrey JM Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov

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 data, computational power and neural networks.

COVID-19 Diagnosis Drug Discovery

More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation

no code implementations20 Aug 2019 Yunguan Fu, Maria R. Robu, Bongjin Koo, Crispin Schneider, Stijn van Laarhoven, Danail Stoyanov, Brian Davidson, Matthew J. Clarkson, Yipeng Hu

Improving a semi-supervised image segmentation task has the option of adding more unlabelled images, labelling the unlabelled images or combining both, as neither image acquisition nor expert labelling can be considered trivial in most clinical applications.

Semantic Segmentation

Weakly Supervised Recognition of Surgical Gestures

no code implementations25 Jul 2019 Beatrice van Amsterdam, Hirenkumar Nakawala, Elena De Momi, Danail Stoyanov

Hence, the potential of weak supervision could be to improve unsupervised learning while avoiding manual annotation of large datasets.

Action Recognition Gesture Recognition

Whole-Sample Mapping of Cancerous and Benign Tissue Properties

no code implementations23 Jul 2019 Lydia Neary-Zajiczek, Clara Essmann, Neil Clancy, Aiman Haider, Elena Miranda, Michael Shaw, Amir Gander, Brian Davidson, Delmiro Fernandez-Reyes, Vijay Pawar, Danail Stoyanov

Structural and mechanical differences between cancerous and healthy tissue give rise to variations in macroscopic properties such as visual appearance and elastic modulus that show promise as signatures for early cancer detection.

Image Registration

Deep Sequential Mosaicking of Fetoscopic Videos

1 code implementation15 Jul 2019 Sophia Bano, Francisco Vasconcelos, Marcel Tella Amo, George Dwyer, Caspar Gruijthuijsen, Jan Deprest, Sebastien Ourselin, Emmanuel Vander Poorten, Tom Vercauteren, Danail Stoyanov

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.

Data Augmentation

2017 Robotic Instrument Segmentation Challenge

3 code implementations18 Feb 2019 Max Allan, Alex Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis Herrera, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand the strengths and limitations of different algorithms via performance comparison.

Person Re-Identification Translation

FaceOff: Anonymizing Videos in the Operating Rooms

no code implementations6 Aug 2018 Evangello Flouty, Odysseas Zisimopoulos, Danail Stoyanov

After testing an existing face detection trained model, a new dataset tailored to the surgical environment, with faces obstructed by surgical masks and caps, was collected for fine-tuning to achieve higher face-detection rates in the OR.

Face Detection

Higher Order of Motion Magnification for Vessel Localisation in Surgical Video

no code implementations13 Jun 2018 Mirek Janatka, Ashwin Sridhar, John Kelly, Danail Stoyanov

Locating vessels during surgery is critical for avoiding inadvertent damage, yet vasculature can be difficult to identify.


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

no code implementations2 May 2018 Luis C. Garcia-Peraza-Herrera, Martin Everson, Wenqi Li, Inmanol Luengo, Lorenz Berger, Omer Ahmad, Laurence Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan Haidry, Danail Stoyanov, Tom Vercauteren, Sebastien Ourselin

We present a new approach to visualise attention that aims to give some insights on those areas of the oesophageal tissue that lead a network to conclude that the images belong to a particular class and compare them with those visual features employed by clinicians to produce a clinical diagnosis.

General Classification

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

1 code implementation18 Oct 2017 Thomas Kurmann, Pablo Marquez Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman

An additional advantage of our approach is that instrument detection at test time is achieved while avoiding the need for scale-dependent sliding window evaluation.

Pose Estimation

Refractive Structure-From-Motion Through a Flat Refractive Interface

no code implementations ICCV 2017 Francois Chadebecq, Francisco Vasconcelos, George Dwyer, Rene Lacher, Sebastien Ourselin, Tom Vercauteren, Danail Stoyanov

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.

Pose Estimation

Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking

no code implementations3 Aug 2017 Xiaofei Du, Alessio Dore, Danail Stoyanov

Tracking-by-detection algorithms are widely used for visual tracking, where the problem is treated as a classification task where an object model is updated over time using online learning techniques.

Frame online learning +2

ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools

no code implementations25 Jun 2017 Luis C. Garcia-Peraza-Herrera, Wenqi Li, Lucas Fidon, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sebastien Ourselin

We propose the use of parametric rectified linear units for semantic labeling in these small architectures to increase the regularization ability of the design and maintain the segmentation accuracy without overfitting the training sets.

Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition

no code implementations22 Jun 2017 Geoffrey Jones, Neil T. Clancy, Xiaofei Du, Maria Robu, Simon Arridge, Daniel S. Elson, Danail Stoyanov

Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen saturation.


A comparative study of breast surface reconstruction for aesthetic outcome assessment

no code implementations20 Jun 2017 Rene Lacher, Francisco Vasconcelos, David Bishop, Norman Williams, Mohammed Keshtgar, David Hawkes, John Hipwell, Danail Stoyanov

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.

3D Reconstruction Surface Reconstruction

Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging

no code implementations19 Jun 2017 Jianyu Lin, Neil T. Clancy, Yang Hu, Ji Qi, Taran Tatla, Danail Stoyanov, Lena Maier-Hein, Daniel S. Elson

Intra-operative measurements of tissue shape and multi/ hyperspectral information have the potential to provide surgical guidance and decision making support.

Decision Making Optical Flow Estimation

Similarity Registration Problems for 2D/3D Ultrasound Calibration

no code implementations31 Jul 2016 Francisco Vasconcelos, Donald Peebles, Sebastien Ourselin, Danail Stoyanov

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).

Pose Tracking

Inference of Haemoglobin Concentration From Stereo RGB

no code implementations11 Jul 2016 Geoffrey Jones, Neil T. Clancy, Yusuf Helo, Simon Arridge, Daniel S. Elson, Danail Stoyanov

We demonstrate by using the co-registered stereo image data from two cameras it is possible to get robust SO2 estimation as well.

Probe-based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided by Fully Convolutional Networks

no code implementations15 Jun 2016 Jianyu Lin, Neil T. Clancy, Xueqing Sun, Ji Qi, Mirek Janatka, Danail Stoyanov, Daniel S. Elson

In HSI mode standard endoscopic illumination is used, with the fibre probe collecting reflected light and encoding the spatial information into a linear format that can be imaged onto the slit of a spectrograph.

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