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Y. Jonmohamadi

3 papers hereh-index 10318 citations23 works total

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.RO2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedSelf-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.RO2021

Surgery Scene Restoration for Robot Assisted Minimally Invasive Surgery

Shahnewaz Ali, Yaqub Jonmohamadi, Ross Crawford +2

Minimally invasive surgery (MIS) offers several advantages including minimum tissue injury and blood loss, and quick recovery time, however, it imposes some limitations on surgeons…

cs.RO2021

3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training

Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu +4

Minimally invasive surgery (MIS) has many documented advantages, but the surgeon's limited visual contact with the scene can be problematic. Hence, systems that can help surgeons n…

eess.IV2020★ 3 cited

Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy

Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas +2

Intra-operative automatic semantic segmentation of knee joint structures can assist surgeons during knee arthroscopy in terms of situational awareness. However, due to poor imaging…

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