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Duygu Sarikaya

News

[4th Feb 2019] I will be giving a talk at Towards Robotic Autonomy in Surgery Workshop at Hamlyn Symposium on Medical Robotics in London, UK on 23rd June 2019.

[13th Jan 2019] Join us at Surgical Data Science workshop which will be held in Rennes, France jointly with CARS on June 17th 2019.

[19th Oct 2018] Rennes, France will be hosting CARS 2019 on 17-21 June 2019.

[16th Sept 2018] OR 2.0 Context-Aware Operating Theaters (MICCAI'18) is held in Granada, Spain. Check our program and our awardees here: OR 2.0

[2nd July 2018] Excited to attend PAISS 2018 : The PRAIRIE AI summer school

[26th March 2018]OR 2.0 Context-Aware Operating Theaters MICCAI'18 Satellite Workshop Event Website is Live

Publications

Research topics

Video understanding and modeling of surgical activities Project CONDOR

Research Statement

Research areas

  • Computer vision
  • Machine learning
  • Medical imaging

Talks

[10th July 2018] My presentation for 20ème Journéedes Doctorants et Post-Doctorants du LTSI at Villejean campus (light pdf version) LTSI Day Presentation

Invited Seminar Talk at Hacettepe University (light pdf version) Hacettepe Talk

Public Datasets

ATLAS Dione Dataset for Robot-Assisted Surgery Video Understanding

ATLAS Dione dataset provides video data (86 full subject study videos (~910 action clips)) of ten surgeons from Roswell Park Cancer Institute (RPCI) (Buffalo, NY) performing six different surgical tasks on the daVinci Surgical System® (dVSS) with annotations of robotic tools per frame (for a subset of 99 action clips), actions taking place and their timestamps. It also provides information on the surgeon expertise levels based on the Dreyfus model.

For further information about the video data, annotations, tasks & subtasks, and subject demographics, please refer to the paper: Duygu Sarikaya, Jason Corso, Khurshid Guru, "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", IEEE Transactions on Medical Imaging, February 2017.
poster: Poster
pre-print PrePrint

Service

Research Positions

Education

Dissertation: “Exploring fusion models in computer vision for medical image computing” Advisor: Jason J.Corso

  • Master of Science (MS) - Computer Science and Engineering, University at Buffalo, Buffalo, NY, USA

Thesis: “Detection and segmentation of free blood in FAST Exam ultrasound images” Advisor: Jason J.Corso

Scholarships

Contact

Email : duygu.sarikaya@univ-rennes1.fr
Email : duygusar@buffalo.edu
Address : MediCIS - LTSI UMR1099 INSERM
Faculté de Médecine, Université de Rennes 1
2 avenue du Prof. Léon Bernard
CS 34317
35043 Rennes cedex - France

inserm rennes1 ltsi