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Computer Science

D-Index
62
Citations
14345
World Ranking
2924
National Ranking
173

Overview

Danail Stoyanov is affiliated with University College London in the United Kingdom. Their research spans multiple disciplines, primarily focusing on medicine, engineering, and computer science, with a strong emphasis on surgery and biomedical engineering subfields.

Their work covers a wide range of topics including surgical simulation and training, colorectal cancer screening and detection, anatomy and medical technology, soft robotics and applications, robotics and sensor-based localization, artificial intelligence in healthcare and education, and advanced vision and imaging.

Recent publications by Danail Stoyanov include:

  • Robot-Assisted Minimally Invasive Surgery-Surgical Robotics in the Data Age (2022, Proceedings of the IEEE)
  • Surgical spectral imaging (2020, Medical Image Analysis)
  • Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy (2021, Medical Image Analysis)
  • Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit (2021, IEEE Robotics & Automation Magazine)
  • Gesture Recognition in Robotic Surgery: A Review (2021, IEEE Transactions on Biomedical Engineering)

Frequent co-authors in Danail Stoyanov's research include:

  • Sophia Bano
  • Hani J. Marcus
  • Francisco Vasconcelos
  • Laurence Lovat
  • Evangelos B. Mazomenos

The most common publication venues for their work are:

  • arXiv (Cornell University)
  • International Journal of Computer Assisted Radiology and Surgery
  • Medical Image Analysis
  • IEEE Robotics and Automation Letters
  • Endoscopy

Danail Stoyanov has also contributed to several book publications, primarily with Springer Science+Business Media, including seven books published in 2020 related to Medical Image Computing and Computer Assisted Intervention - MICCAI. One publication was also with Centre National de la Recherche Scientifique in the same domain and year.

Best Publications

  • Surgical data science for next-generation interventions.

    Lena Maier-Hein;Swaroop S. Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Surgical device with an end effector assembly and system for monitoring of tissue before and after a surgical procedure

    Shobhit Arya;Neil T. Clancy;Daniel S. Elson;George B. Hanna

  • Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

    Jorge Bernal;Nima Tajkbaksh;Francisco Javier Sanchez;Bogdan J. Matuszewski

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

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery.

    Lena Maier-Hein;Peter Mountney;Adrien Bartoli;Haytham Elhawary

  • Surgical Data Science - from Concepts toward Clinical Translation

    Lena Maier-Hein;Lena Maier-Hein;Matthias Eisenmann;Duygu Sarikaya;Duygu Sarikaya;Keno März

  • Vision-based and marker-less surgical tool detection and tracking: a review of the literature

    David Bouget;Max Allan;Danail Stoyanov;Pierre Jannin

  • Real-time stereo reconstruction in robotically assisted minimally invasive surgery

    Danail Stoyanov;Marco Visentini Scarzanella;Philip Pratt;Guang-Zhong Yang

  • Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions.

    Yohannes Kassahun;Bingbin Yu;Abraham Temesgen Tibebu;Danail Stoyanov

  • Three-Dimensional Tissue Deformation Recovery and Tracking

    Peter Mountney;Danail Stoyanov;Guang-Zhong Yang

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

    Danail Stoyanov;Zeike Taylor;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • Robot-Assisted Minimally Invasive Surgery—Surgical Robotics in the Data Age

    Unknown

  • Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions.

    Omer F Ahmad;Omer F Ahmad;Antonio S Soares;Evangelos Mazomenos;Patrick Brandao

  • Surgical data science: Enabling next-generation surgery

    Lena Maier-Hein;S. Swaroop Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Soft-tissue motion tracking and structure estimation for robotic assisted MIS procedures

    Danail Stoyanov;George P. Mylonas;Fani Deligianni;Ara Darzi

  • Frontiers of robotic endoscopic capsules: a review

    Gastone Ciuti;Renato Caliò;Domenico Camboni;Luca Neri

  • Fully convolutional neural networks for polyp segmentation in colonoscopy

    Patrick Brandao;Evangelos B. Mazomenos;Gastone Ciuti;Renato Caliò

  • Toward Detection and Localization of Instruments in Minimally Invasive Surgery

    M. Allan;S. Ourselin;S. Thompson;D. J. Hawkes

  • Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.

    Sharib Ali;Mariia Dmitrieva;Noha M. Ghatwary;Sophia Bano

  • Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review

    Unknown

  • Surgical spectral imaging

    Neil T. Clancy;Geoffrey Jones;Lena Maier-Hein;Daniel S. Elson

  • Simultaneous stereoscope localization and soft-tissue mapping for minimal invasive surgery

    Peter Mountney;Danail Stoyanov;Andrew Davison;Guang-Zhong Yang

  • Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction.

    L. Maier-Hein;A. Groch;A. Bartoli;S. Bodenstedt

  • ToolNet: Holistically-nested real-time segmentation of robotic surgical tools

    Luis C. Garcia-Peraza-Herrera;Wenqi Li;Lucas Fidon;Caspar Gruijthuijsen

  • 2017 Robotic Instrument Segmentation Challenge.

    Max Allan;Alexey Shvets;Thomas Kurmann;Zichen Zhang

Frequent Co-Authors

Sebastien Ourselin
Sebastien Ourselin King's College London
Tom Vercauteren
Tom Vercauteren King's College London
Lena Maier-Hein
Lena Maier-Hein German Cancer Research Center
David J. Hawkes
David J. Hawkes University College London
Guang-Zhong Yang
Guang-Zhong Yang Shanghai Jiao Tong University
Matthew J. Clarkson
Matthew J. Clarkson University College London
Stefanie Speidel
Stefanie Speidel National Center for Tumor Diseases
Pierre Jannin
Pierre Jannin University of Rennes
Adrien E. Desjardins
Adrien E. Desjardins University College London
Anne L. Martel
Anne L. Martel University of Toronto

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