Danail Stoyanov

research

∙ 05/11/2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

The ability to automatically detect and track surgical instruments in en...

17 Aneeq Zia, et al. ∙

research

∙ 03/16/2023

Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery

Purpose: Microsurgical Aneurysm Clipping Surgery (MACS) carries a high r...

8 Jinfan Zhou, et al. ∙

research

∙ 03/04/2023

Local Navigation Among Movable Obstacles with Deep Reinforcement Learning

Autonomous robots would benefit a lot by gaining the ability to manipula...

0 Linghong Yao, et al. ∙

research

∙ 02/24/2023

3D Generative Model Latent Disentanglement via Local Eigenprojection

Designing realistic digital humans is extremely complex. Most data-drive...

0 Simone Foti, et al. ∙

research

∙ 01/22/2023

Deep Reinforcement Learning for Concentric Tube Robot Path Planning

As surgical interventions trend towards minimally invasive approaches, C...

0 Keshav Iyengar, et al. ∙

research

∙ 01/19/2023

Learning ultrasound plane pose regression: assessing generalized pose coordinates in the fetal brain

In obstetric ultrasound (US) scanning, the learner's ability to mentally...

32 Chiara Di Vece, et al. ∙

research

∙ 01/04/2023

MoBYv2AL: Self-supervised Active Learning for Image Classification

Active learning(AL) has recently gained popularity for deep learning(DL)...

17 Razvan Caramalau, et al. ∙

research

∙ 12/08/2022

Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge

Timely and effective feedback within surgical training plays a critical ...

27 Aneeq Zia, et al. ∙

research

∙ 11/07/2022

Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments

A real-world application or setting involves interaction between differe...

7 Abhinav Joshi, et al. ∙

research

∙ 04/11/2022

Bimodal Camera Pose Prediction for Endoscopy

Deducing the 3D structure of endoscopic scenes from images remains extre...

30 Anita Rau, et al. ∙

research

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

research

∙ 04/07/2022

Task-Aware Active Learning for Endoscopic Image Analysis

Semantic segmentation of polyps and depth estimation are two important r...

6 Shrawan Kumar Thapa, et al. ∙

research

∙ 04/02/2022

Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation

We present our novel deep multi-task learning method for medical image s...

6 Binod Bhattarai, et al. ∙

research

∙ 03/31/2022

A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence

Video streams are utilised to guide minimally-invasive surgery and diagn...

21 Rema Daher, et al. ∙

research

∙ 03/29/2022

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

Automatic surgical scene segmentation is fundamental for facilitating co...

13 Yueming Jin, et al. ∙

research

∙ 02/22/2022

Organ Shape Sensing using Pneumatically Attachable Flexible Rails in Robotic-Assisted Laparoscopic Surgery

In robotic-assisted partial nephrectomy, surgeons remove a part of a kid...

0 Aoife McDonald-Bowyer, et al. ∙

research

∙ 02/22/2022

A Novel Soft Shape-shifting Robot with Track-based Locomotion for In-pipe Inspection

With the advent of soft robotics the research community has been explori...

0 Vanni Consumi, et al. ∙

research

∙ 02/08/2022

Utility of Optical See-Through Head Mounted Displays in Augmented Reality-Assisted Surgery: A systematic review

This article presents a systematic review of optical see-through head mo...

0 Manuel Birlo, et al. ∙

research

∙ 11/24/2021

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

Learning a disentangled, interpretable, and structured latent representa...

33 Simone Foti, et al. ∙

research

∙ 11/19/2021

Towards intrinsic force sensing and control in parallel soft robots

With soft robotics being increasingly employed in settings demanding hig...

0 Lukas Lindenroth, et al. ∙

research

∙ 04/20/2021

Accelerating Surgical Robotics Research: Reviewing 10 Years of Research with the dVRK

Robotic-assisted surgery is now well-established in clinical practice an...

0 Claudia D'Ettorre, et al. ∙

research

∙ 03/08/2021

Autonomous object harvesting using synchronized optoelectronic microrobots

Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micro...

11 Christopher Bendkowski, et al. ∙

research

∙ 02/26/2021

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

Surgical data science is revolutionizing minimally invasive surgery by e...

45 Aneeq Zia, et al. ∙

research

∙ 01/29/2021

Gesture Recognition in Robotic Surgery: a Review

Objective: Surgical activity recognition is a fundamental step in comput...

13 Beatrice van Amsterdam, et al. ∙

research

∙ 01/15/2021

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

Early diagnosis is essential for the successful treatment of bowel cance...

16 Patrick Brandao, et al. ∙

research

∙ 01/04/2021

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

The stereo correspondence and reconstruction of endoscopic data sub-chal...

7 Max Allan, et al. ∙

research

∙ 12/22/2020

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

In computer vision, reference datasets have been highly successful in pr...

10 P. J. "Eddie'' Edwards, et al. ∙

research

∙ 10/29/2020

Detecting small polyps using a Dynamic SSD-GAN

Endoscopic examinations are used to inspect the throat, stomach and bowe...

0 Daniel C. Ohrenstein, et al. ∙

research

∙ 09/16/2020

Surgical Video Motion Magnification with Suppression of Instrument Artefacts

Video motion magnification could directly highlight subsurface blood ves...

8 Mirek Janatka, et al. ∙

research

∙ 09/08/2020

Intraoperative Liver Surface Completion with Graph Convolutional VAE

In this work we propose a method based on geometric deep learning to pre...

9 Simone Foti, et al. ∙

research

∙ 08/13/2020

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

To what extent are two images picturing the same 3D surfaces? Even when ...

3 Anita Rau, et al. ∙

research

∙ 07/17/2020

Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery

Semantic tool segmentation in surgical videos is important for surgical ...

12 Emanuele Colleoni, et al. ∙

research

∙ 05/19/2020

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

The COVID-19 pandemic, caused by the severe acute respiratory syndrome c...

0 Yipeng Hu, et al. ∙

research

∙ 03/10/2020

Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction

Surgical gesture recognition is important for surgical data science and ...

13 Beatrice van Amsterdam, et al. ∙

research

∙ 08/20/2019

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

Improving a semi-supervised image segmentation task has the option of ad...

21 Yunguan Fu, et al. ∙

research

∙ 07/25/2019

Weakly Supervised Recognition of Surgical Gestures

Kinematic trajectories recorded from surgical robots contain information...

2 Beatrice van Amsterdam, et al. ∙

research

∙ 07/23/2019

Whole-Sample Mapping of Cancerous and Benign Tissue Properties

Structural and mechanical differences between cancerous and healthy tiss...

3 Lydia Neary- Zajiczek, et al. ∙

research

∙ 07/15/2019

Deep Sequential Mosaicking of Fetoscopic Videos

Twin-to-twin transfusion syndrome treatment requires fetoscopic laser ph...

6 Sophia Bano, et al. ∙

research

∙ 06/27/2019

CaDIS: Cataract Dataset for Image Segmentation

Video signals provide a wealth of information about surgical procedures ...

5 Evangello Flouty, et al. ∙

research

∙ 06/27/2019

CaDSS: Cataract Dataset for Semantic Segmentation

Video signals provide a wealth of information about surgical procedures ...

5 Evangello Flouty, et al. ∙

research

∙ 02/18/2019

2017 Robotic Instrument Segmentation Challenge

In mainstream computer vision and machine learning, public datasets such...

14 Max Allan, et al. ∙

research

∙ 01/16/2019

Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation

Accounting for 26 the most common form of cancer in women. Although earl...

4 Rene Lacher, et al. ∙

research

∙ 11/07/2018

SurReal: enhancing Surgical simulation Realism using style transfer

Surgical simulation is an increasingly important element of surgical edu...

0 Imanol Luengo, et al. ∙

research

∙ 08/06/2018

FaceOff: Anonymizing Videos in the Operating Rooms

Video capture in the surgical operating room (OR) is increasingly possib...

0 Evangello Flouty, et al. ∙

research

∙ 07/20/2018

Affordable Mobile-based Simulator for Robotic Surgery

Robotic surgery and novel surgical instrumentation present great potenti...

0 Piyamate Wisanuvej, et al. ∙

research

∙ 07/17/2018

DeepPhase: Surgical Phase Recognition in CATARACTS Videos

Automated surgical workflow analysis and understanding can assist surgeo...

0 Odysseas Zisimopoulos, et al. ∙

research

∙ 06/13/2018

Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks

Transoesophageal echocardiography (TEE) is a valuable diagnostic and mon...

6 Evangelos B. Mazomenos, et al. ∙

research

∙ 06/13/2018

Higher Order of Motion Magnification for Vessel Localisation in Surgical Video

Locating vessels during surgery is critical for avoiding inadvertent dam...

6 Mirek Janatka, et al. ∙

research

∙ 06/08/2018

Surgical Data Science: A Consensus Perspective

Surgical data science is a scientific discipline with the objective of i...

0 Lena Maier-Hein, et al. ∙

research

∙ 06/06/2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

International challenges have become the standard for validation of biom...

10 Lena Maier-Hein, et al. ∙

Danail Stoyanov

Featured Co-authors