Body surface registration considering individual differences with non-rigid iterative closest point

[1]  C. Chung,et al.  The coming era of a new auscultation system for analyzing respiratory sounds , 2022, BMC Pulmonary Medicine.

[2]  Bailin Deng,et al.  A Survey of Non‐Rigid 3D Registration , 2022, Comput. Graph. Forum.

[3]  Kris Hauser,et al.  Automated Heart and Lung Auscultation in Robotic Physical Examinations , 2022, IEEE Robotics and Automation Letters.

[4]  Yoshihiko Koseki,et al.  Towards fully automated robotic platform for remote auscultation , 2022, The international journal of medical robotics + computer assisted surgery : MRCAS.

[5]  Chung Hyuk Park,et al.  Robot-Assisted Semi-Autonomous Ultrasound Imaging With Tactile Sensing and Convolutional Neural-Networks , 2021, IEEE Transactions on Medical Robotics and Bionics.

[6]  Fang Zhu,et al.  Artificial intelligence-assisted auscultation in detecting congenital heart disease , 2021, European heart journal. Digital health.

[7]  F. Bruyère,et al.  Follow-up of adults with noncritical COVID-19 two months after symptom onset , 2020, Clinical Microbiology and Infection.

[8]  M. S. Swapna,et al.  Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation , 2020, Chaos, Solitons & Fractals.

[9]  Touradj Ebrahimi,et al.  Towards a Point Cloud Structural Similarity Metric , 2020, 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

[10]  Ryosuke Tsumura,et al.  Robotic fetal ultrasonography platform with a passive scan mechanism , 2020, International Journal of Computer Assisted Radiology and Surgery.

[11]  Jędrzej Kociński,et al.  Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination , 2019, European Journal of Pediatrics.

[12]  Dominik Spińczyk,et al.  Anisotropic non-rigid Iterative Closest Point Algorithm for respiratory motion abdominal surface matching , 2019, BioMedical Engineering OnLine.

[13]  Gretchen A. Stevens,et al.  NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4 , 2018, The Lancet.

[14]  Masaaki Mochimaru,et al.  Digital Human Models for Human-Centered Design , 2017, J. Robotics Mechatronics.

[15]  T. Ishikawa,et al.  Forecasting the regional distribution and sufficiency of physicians in Japan with a coupled system dynamics—geographic information system model , 2017, Human Resources for Health.

[16]  R. Tubbs,et al.  Auscultation of the heart , 2017, Clinical anatomy.

[17]  Dominik Spinczyk,et al.  Methods for abdominal respiratory motion tracking , 2014, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[18]  Andrea Tagliasacchi,et al.  Sparse Iterative Closest Point , 2013, Comput. Graph. Forum.

[19]  G. Darling,et al.  Surface anatomy and surface landmarks for thoracic surgery. , 2007, Thoracic surgery clinics.

[20]  Sami Romdhani,et al.  Optimal Step Nonrigid ICP Algorithms for Surface Registration , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[21]  Pavel Krsek,et al.  The Trimmed Iterative Closest Point algorithm , 2002, Object recognition supported by user interaction for service robots.