Now showing items 1-7 of 7

  • Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images 

    Alsaleh, Samar M.; Avilés Rivero, Angélica; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia; Hahn, James K. (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference lecture
    Restricted access - publisher's policy
    Minimally 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 

    Alsaleh, Samar M.; Avilés Rivero, Angélica; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia; Hahn, James K. (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference lecture
    Restricted access - publisher's policy
    In 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 

    Avilés Rivero, Angélica; Alsaleh, Samar M.; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Restricted access - publisher's policy
    The 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 ...
  • Sensory substitution for force feedback recovery: A perception experimental study 

    Avilés Rivero, Angélica; Alsaleh, Samar M.; Philbeck, John; Raventos, Stella P.; Younes, Naji; Hahn, James K.; Casals Gelpi, Alicia (2018-08)
    Article
    Open Access
    Robotic-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 

    Avilés Rivero, Angélica; Alsaleh, Samar M.; Casals Gelpi, Alicia (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    Robotic-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 

    Avilés Rivero, Angélica; Alsaleh, Samar M.; Casals Gelpi, Alicia (2018-03)
    Article
    Open Access
    Purpose: 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 estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data 

    Avilés Rivero, Angélica; Widlak, Thomas; Casals Gelpi, Alicia; Ammari, Habib (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference report
    Restricted access - publisher's policy
    Estimation of the cardiac motion is very important in order to detect heart diseases. This work presents a cardiac motion estimation approach using ultrafast ultrasound data. We optimize a variational framework which has ...