Browsing by Author "Alsaleh, Samar M."
Now showing items 1-9 of 9
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Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference lecture
Restricted access - publisher's policyMinimally invasive surgical and diagnostic systems rely on endoscopic images of internal organs to assist medical tasks. Specular highlights are common on those images due to the strong reflectivity of the mucus layer on ... -
Automatic and robust single-camera specular highlight removal in cardiac images
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference lecture
Restricted access - publisher's policyIn computer-assisted beating heart surgeries, accurate tracking of the heart’s motion is of huge importance and there is a continuous need to eliminate any source of error that might disturb the tracking process. One source ... -
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Restricted access - publisher's policyThe lack of force feedback is considered one of the major limitations in Robot Assisted Minimally Invasive Surgeries. Since add-on sensors are not a practical solution for clinical environments, in this paper we present a ... -
Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference lecture
Open AccessThis paper addresses the issue of lack of force feedback in robotic-assisted minimally invasive surgeries. Force is an important measure for surgeons in order to prevent intra-operative complications and tissue damage. ... -
Sensory substitution for force feedback recovery: A perception experimental study
(2018-08)
Article
Open AccessRobotic-assisted surgeries are commonly used today as a more efficient alternative to traditional surgical options. Both surgeons and patients benefit from those systems, as they offer many advantages, including less trauma ... -
Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessRobotic-assisted minimally invasive surgical sys-tems suffer from one major limitation which is the lack of interaction forces feedback. The restricted sense of touch hinders the surgeons’ performance and reduces their ... -
Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions
(2018-03)
Article
Open AccessPurpose: Technical advancements have been part of modern medical solutions as they promote better surgical alternatives that serve to the benefit of patients. Particularly with cardiovascular surgeries, robotic surgical ... -
Towards retrieving force feedback in robotic-assisted surgery: a supervised neuro-recurrent-vision approach
(Institute of Electrical and Electronics Engineers (IEEE), 2017-07-01)
Article
Open AccessRobotic-assisted minimally invasive surgeries have gained a lot of popularity over conventional procedures as they offer many benefits to both surgeons and patients. Nonetheless, they still suffer from some limitations ... -
V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery
(Atlantis Press, 2015)
Conference report
Open AccessAccurate and robust estimation of applied forces in Robotic-Assisted Minimally Invasive Surgery is a very challenging task. Many vision-based solutions attempt to estimate the force by measuring the surface deformation ...
