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researcher

Emanuele Colleoni

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedSurgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge

13 citations · 13 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2022

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

Aneeq Zia, Kiran Bhattacharyya, Xi Liu +12

Timely and effective feedback within surgical training plays a critical role in developing the skills required to perform safe and efficient surgery. Feedback from expert surgeons,…

cs.CV2021★ 13 cited

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

Aneeq Zia, Kiran Bhattacharyya, Xi Liu +10

Surgical data science is revolutionizing minimally invasive surgery by enabling context-aware applications. However, many challenges exist around surgical data (and health data, mo…

cs.CV2020

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…

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