Force Sensing in Robot-assisted Keyhole Endoscopy: A Systematic Survey

Autor: Hosseinabadi, A. H. Hadi, Salcudean, S. E.

Instrument-tissue interaction forces in Minimally Invasive Surgery (MIS) provide valuable information that can be used to provide haptic perception, monitor tissue trauma, develop training guidelines, and evaluate the skill level of novice and expert

Externí odkaz: http://arxiv.org/abs/2103.11123

Head motion-corrected eye gaze tracking with the da Vinci surgical system.

Autor: Banks A; Electrical and Computer Engineering Department, University of British Columbia, Main Mall, Vancouver, BC, V6T 1Z4, Canada. albanks@student.ubc.ca., Eldin Abdelaal A; Electrical and Computer Engineering Department, University of British Columbia, Main Mall, Vancouver, BC, V6T 1Z4, Canada.; Mechanical Engineering Department, Stanford University, Escondido Mall, Stanford, CA, 94305, USA., Salcudean S; Electrical and Computer Engineering Department, University of British Columbia, Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Publikováno v: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Jul; Vol. 19 (7), pp. 1459-1467. Date of Electronic Publication: 2024 Jun 18.

Multi-scale relational graph convolutional network for multiple instance learning in histopathology images.

Autor: Bazargani R; Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, BC V6T 1Z4, Canada. Electronic address: roozbehb@ece.ubc.ca., Fazli L; The Vancouver Prostate Centre, 2660 Oak St, Vancouver, BC V6H 3Z6, Canada; Department of Urologic Sciences, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada., Gleave M; The Vancouver Prostate Centre, 2660 Oak St, Vancouver, BC V6H 3Z6, Canada; Department of Urologic Sciences, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada., Goldenberg L; The Vancouver Prostate Centre, 2660 Oak St, Vancouver, BC V6H 3Z6, Canada; Department of Urologic Sciences, University of British Columbia, 2775 Laurel Street, Vancouver, BC V5Z 1M9, Canada., Bashashati A; School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada; Department of Pathology & Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada. Electronic address: ali.bashashati@ubc.ca., Salcudean S; Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, BC V6T 1Z4, Canada; School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada. Electronic address: tims@ece.ubc.ca.

Publikováno v: Medical image analysis [Med Image Anal] 2024 Aug; Vol. 96, pp. 103197. Date of Electronic Publication: 2024 May 06.

Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning.

Autor: Shao Y; Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada., Bazargani R; Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada., Karimi D; Radiology, Harvard and Boston Children's Hospital, Boston, MA., Wang J; Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada., Fazli L; The Vancouver Prostate Centre, Vancouver, BC, Canada.; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada., Goldenberg SL; The Vancouver Prostate Centre, Vancouver, BC, Canada.; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada., Gleave ME; The Vancouver Prostate Centre, Vancouver, BC, Canada.; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada., Black PC; The Vancouver Prostate Centre, Vancouver, BC, Canada.; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada., Bashashati A; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.; Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada., Salcudean S; Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada.; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.

Publikováno v: JCO clinical cancer informatics [JCO Clin Cancer Inform] 2024 Jun; Vol. 8, pp. e2300184.

Artificial intelligence meets medical robotics.

Autor: Yip M; Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA., Salcudean S; Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada., Goldberg K; Department of Industrial Engineering and Operations Research and Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA., Althoefer K; School of Engineering and Materials Science, Queen Mary University of London, London, UK., Menciassi A; The BioRobotics Institute, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà, Pisa, Italy., Opfermann JD; Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA., Krieger A; Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA., Swaminathan K; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA., Walsh CJ; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA., Huang HH; Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC, USA.; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Lee IC; Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC, USA.; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Publikováno v: Science (New York, N.Y.) [Science] 2023 Jul 14; Vol. 381 (6654), pp. 141-146. Date of Electronic Publication: 2023 Jul 13.