Published on in Vol 14, No 1 (2012): Jan-Feb

Development and Implementation of a Web-Enabled 3D Consultation Tool for Breast Augmentation Surgery Based on 3D-Image Reconstruction of 2D Pictures

Development and Implementation of a Web-Enabled 3D Consultation Tool for Breast Augmentation Surgery Based on 3D-Image Reconstruction of 2D Pictures

Development and Implementation of a Web-Enabled 3D Consultation Tool for Breast Augmentation Surgery Based on 3D-Image Reconstruction of 2D Pictures

Journals

  1. Ruiz G, Ramon E, García J, Sukno F, Ballester M. Weighted regularized statistical shape space projection for breast 3D model reconstruction. Medical Image Analysis 2018;47:164 View
  2. Lu Y, Zhao S, Younes N, Hahn J. Accurate nonrigid 3D human body surface reconstruction using commodity depth sensors. Computer Animation and Virtual Worlds 2018;29(5) View
  3. Cruz N. Breast Augmentation. Plastic and Reconstructive Surgery 2015;136:161 View
  4. Donfrancesco A, Montemurro P, Hedén P. Three-Dimensional Simulated Images in Breast Augmentation Surgery. Plastic and Reconstructive Surgery 2013;132(4):810 View
  5. Lu Y, Hahn J, Zhang X. 3D Shape-Based Body Composition Inference Model Using a Bayesian Network. IEEE Journal of Biomedical and Health Informatics 2020;24(1):205 View
  6. Kwong J, Tijerina J, Choi S, Luan A, Feng C, Nguyen D, Lee G, Nazerali R. Assessing the Accuracy of a 3-Dimensional Surface Imaging System in Breast Volume Estimation. Annals of Plastic Surgery 2020;84(5S):S311 View
  7. Koban K, Frank K, Etzel L, Schenck T, Giunta R. 3D Mammometric Changes in the Treatment of Idiopathic Gynecomastia. Aesthetic Plastic Surgery 2019;43(3):616 View
  8. Oliveira-Santos T, Baumberger C, Constantinescu M, Olariu R, Nolte L, Alaraibi S, Reyes M. 3D Face Reconstruction from 2D Pictures: First Results of a Web-Based Computer Aided System for Aesthetic Procedures. Annals of Biomedical Engineering 2013;41(5):952 View
  9. Mata C, Oliver A, Lalande A, Walker P, Martí J. On the Use of XML in Medical Imaging Web-Based Applications. IRBM 2017;38(1):3 View
  10. Tzou C, Artner N, Pona I, Hold A, Placheta E, Kropatsch W, Frey M. Comparison of three-dimensional surface-imaging systems. Journal of Plastic, Reconstructive & Aesthetic Surgery 2014;67(4):489 View
  11. Hamm J, Money A, Atwal A. Guidetomeasure-OT: A mobile 3D application to improve the accuracy, consistency, and efficiency of clinician-led home-based falls-risk assessments. International Journal of Medical Informatics 2019;129:349 View
  12. Zissis D, Lekkas D, Azariadis P, Papanikos P, Xidias E. Collaborative CAD/CAE as a cloud service. International Journal of Systems Science: Operations & Logistics 2017;4(4):339 View
  13. Li X, Wang X, Dai Y, Zhang P. Supervised recursive segmentation of volumetric CT images for 3D reconstruction of lung and vessel tree. Computer Methods and Programs in Biomedicine 2015;122(3):316 View
  14. Vorstenbosch J, Islur A. Correlation of Prediction and Actual Outcome of Three-Dimensional Simulation in Breast Augmentation Using a Cloud-Based Program. Aesthetic Plastic Surgery 2017;41(3):481 View
  15. Sforza M, Andjelkov K, Zaccheddu R, Husein R, Atkinson C. A Preliminary Assessment of the Predictability of Fat Grafting to Correct Silicone Breast Implant-Related Complications. Aesthetic Surgery Journal 2016;36(8):886 View
  16. Zolfagharnasab H, Bessa S, Oliveira S, Faria P, Teixeira J, Cardoso J, Oliveira H. A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery. Sensors 2018;18(2):167 View
  17. O'Connell R, Stevens R, Harris P, Rusby J. Review of three-dimensional (3D) surface imaging for oncoplastic, reconstructive and aesthetic breast surgery. The Breast 2015;24(4):331 View
  18. Howes B, Watson D, Fosh B, Yip J, Kleinig P, Dean N. Magnetic Resonance Imaging Versus 3-Dimensional Laser Scanning for Breast Volume Assessment After Breast Reconstruction. Annals of Plastic Surgery 2017;78(4):455 View
  19. Griesenauer R, Weis J, Arlinghaus L, Meszoely I, Miga M. Breast tissue stiffness estimation for surgical guidance using gravity-induced excitation. Physics in Medicine and Biology 2017;62(12):4756 View
  20. Hamm J, Money A, Atwal A. Fall Prevention Self-Assessments Via Mobile 3D Visualization Technologies: Community Dwelling Older Adults’ Perceptions of Opportunities and Challenges. JMIR Human Factors 2017;4(2):e15 View
  21. Rudy H, Wake N, Yee J, Garfein E, Tepper O. Three-Dimensional Facial Scanning at the Fingertips of Patients and Surgeons: Accuracy and Precision Testing of iPhone X Three-Dimensional Scanner. Plastic & Reconstructive Surgery 2020;146(6):1407 View
  22. Marciniak J, Janicki H. Using a game engine to visualize the Main Building of the Warsaw University of Technology in a mobile application. Polish Cartographical Review 2020;52(2):61 View
  23. Sforza M, Spear S. Hybrid Implant and Grafted Fat Breast Augmentation: Designing the Pathway to a Future With Breasts Free of Silicone Breast Implants. Aesthetic Surgery Journal 2021;41(11):NP1473 View
  24. Weiherer M, Eigenberger A, Egger B, Brébant V, Prantl L, Palm C. Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans. The Visual Computer 2022 View
  25. Hammond D, Kim K, Bageris M, Chaudhry A. Use of Three-Dimensional Imaging to Assess the Effectiveness of Volume as a Critical Variable in Breast Implant Selection. Plastic & Reconstructive Surgery 2022;149(1):70 View
  26. Bhabad S, Lamkhade D, Koyate S, Karanjkhele K, Kale V, Doke R. Transformative trends: A comprehensive review on role of artificial intelligence in healthcare and pharmaceutical research. IP International Journal of Comprehensive and Advanced Pharmacology 2023;8(4):210 View

Books/Policy Documents

  1. Ghanem A, Myers S. Plastic and reconstructive surgery. View
  2. Cheng M, Chhaya M, Hintz M, Piper S, Visscher L, Schantz J, Wong C, Ung O, Wagels M, Hutmacher D. Comprehensive Biomaterials II. View
  3. Visse H, Runte C, Meyer U, Dirksen D. Fundamentals of Craniofacial Malformations. View