This paper is in the following e-collection/theme issue:

e-Learning and Medical Education (691) Epublishing and Open Access (86)

Published on in Vol 15, No 11 (2013): November

The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration

The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration

The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration

Authors of this article:

Michael Kistler1 ;   Serena Bonaretti1, 2 ;   Marcel Pfahrer3 ;   Roman Niklaus3 ;   Philippe Büchler1
Article Authors Cited by (241) Tweetations (15) Metrics

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  125. Alpar O. A mathematical fuzzy fusion framework for whole tumor segmentation in multimodal MRI using Nakagami imaging. Expert Systems with Applications 2023;216:119462 View
  126. Gajny L, Girinon F, Bayoud W, Lahkar B, Bonnet-Lebrun A, Rouch P, Lazennec J, Skalli W. Fast quasi-automated 3D reconstruction of lower limbs from low dose biplanar radiographs using statistical shape models and contour matching. Medical Engineering & Physics 2022;101:103769 View
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  130. Wang R, Lei T, Cui R, Zhang B, Meng H, Nandi A. Medical image segmentation using deep learning: A survey. IET Image Processing 2022;16(5):1243 View
  131. ATASEVER S, AZGINOGLU N, TERZI D, TERZI R. A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning. Clinical Imaging 2023;94:18 View
  132. Aljabri M, AlGhamdi M. A review on the use of deep learning for medical images segmentation. Neurocomputing 2022;506:311 View
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  134. Loução R, Oros-Peusquens A, Langen K, Ferreira H, Shah N. A Fast Protocol for Multiparametric Characterisation of Diffusion in the Brain and Brain Tumours. Frontiers in Oncology 2021;11 View
  135. Amin J, Anjum M, Gul N, Sharif M. A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain. Neural Computing and Applications 2022;34(20):17315 View
  136. Lather M, Singh P. RETRACTED: Tumor segmentation from brain MR images using STSA based modified K-means clustering approach. Journal of Intelligent & Fuzzy Systems 2022;43(3):2579 View
  137. Guezou-Philippe A, Dardenne G, Letissier H, Yvinou A, Burdin V, Stindel E, Lefèvre C. Anterior pelvic plane estimation for total hip arthroplasty using a joint ultrasound and statistical shape model based approach. Medical & Biological Engineering & Computing 2023;61(1):195 View
  138. Litavec H, Basom R. Incorporating a structural vulnerability framework into the forensic anthropology curriculum. Forensic Science International: Synergy 2023;6:100320 View
  139. Yilmaz V, Akdag M, Dalveren Y, Doruk R, Kara A, Soylu A. Investigating the Impact of Two Major Programming Environments on the Accuracy of Deep Learning-Based Glioma Detection from MRI Images. Diagnostics 2023;13(4):651 View
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  141. Alpar O, Dolezal R, Ryska P, Krejcar O. Low-contrast lesion segmentation in advanced MRI experiments by time-domain Ricker-type wavelets and fuzzy 2-means. Applied Intelligence 2022;52(13):15237 View
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  144. Wen B, Hu P, Ebrahimi M, Chen H. Key Factors Affecting User Adoption of Open-Access Data Repositories in Intelligence and Security Informatics: An Affordance Perspective. ACM Transactions on Management Information Systems 2022;13(1):1 View
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Books/Policy Documents

  1. Bousselham A, Bouattane O, Youssfi M, Raihani A. Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). View
  2. Agn M, Puonti O, Rosenschöld P, Law I, Van Leemput K. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  3. Bakas S, Zeng K, Sotiras A, Rathore S, Akbari H, Gaonkar B, Rozycki M, Pati S, Davatzikos C. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  4. Bal A, Banerjee M, Sharma P, Chaki R. Advanced Computing and Systems for Security. View
  5. Chen X, Liew J, Xiong W, Chui C, Ong S. Computer Vision – ECCV 2018. View
  6. Rezaei M, Yang H, Meinel C. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  7. Pritanjli , Doegar A. Recent Trends in Communication and Intelligent Systems. View
  8. Bernardino G, Butakoff C, Nuñez-Garcia M, Sarvari S, Rodriguez-Lopez M, Crispi F, González Ballester M, De Craene M, Bijnens B. Functional Imaging and Modelling of the Heart. View
  9. Lebre M, Arrouk K, Võ Văn A, Leborgne A, Grand-Brochier M, Beaurepaire P, Vacavant A, Magnin B, Abergel A, Chabrot P. Simulation and Synthesis in Medical Imaging. View
  10. Kalra M, Osadebey M, Bouguila N, Pedersen M, Fan W. Mixture Models and Applications. View
  11. Kao P, Chen J, Manjunath B. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  12. Klíma O, Madeja R, Španel M, Čuta M, Zemčík P, Stoklásek P, Mizera A. Shape in Medical Imaging. View
  13. Jimenez D, García H, Álvarez A, Orozco Á. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. View
  14. Kleesiek J, Biller A, Bartsch A, Ueltzhöffer K. Biomedical Engineering Systems and Technologies. View
  15. O’Connor J, Rutherford M, Hill J, Beverland D, Dunne N, Lennon A. Computer Methods in Biomechanics and Biomedical Engineering. View
  16. Tureckova A, Rodríguez-Sánchez A. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  17. Mohan G, Subashini M. Deep Learning and Parallel Computing Environment for Bioengineering Systems. View
  18. Saha R, Phophalia A, Mitra S. Computer Vision, Graphics, and Image Processing. View
  19. Kong X, Sun G, Wu Q, Liu J, Lin F. Intelligent Information Processing IX. View
  20. Abler D, Rockne R, Büchler P. New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering. View
  21. Zeng K, Bakas S, Sotiras A, Akbari H, Rozycki M, Rathore S, Pati S, Davatzikos C. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  22. Jimenez D, García H, Álvarez A, Orozco Á, Holguín G. Image Analysis and Recognition. View
  23. Pereira S, Pinto A, Alves V, Silva C. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  24. Shivhare S, Kumar N. Proceedings of ICETIT 2019. View
  25. Pinheiro G, Voltoline R, Bento M, Rittner L. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  26. Fabijańska A, Vacavant A, Lebre M, Pavan A, de Pina D, Abergel A, Chabrot P, Magnin B. Computer Vision and Graphics. View
  27. Bousselham A, Bouattane O, Youssfi M, Raihani A. Embedded Systems and Artificial Intelligence. View
  28. Liu P, Lee Y, Aylward S, Niethammer M. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. View
  29. de la Rosa E, Robben D, Sima D, Kirschke J, Menze B. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. View
  30. Madsen D, Aellen J, Morel-Forster A, Vetter T, Lüthi M. Shape in Medical Imaging. View
  31. Messaoudi R, Jaziri F, Vacavant A, Mtibaa A, Gargouri F. Pattern Recognition and Artificial Intelligence. View
  32. Madsen D, Morel-Forster A, Kahr P, Rahbani D, Vetter T, Lüthi M. Computer Vision – ECCV 2020. View
  33. Klug J, Leclerc G, Dirren E, Preti M, Van De Ville D, Carrera E. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
  34. Shivhare S, Kumar N. Progress in Advanced Computing and Intelligent Engineering. View
  35. Kaushal B, Patil M, Birajdar G. Handbook of Computational Intelligence in Biomedical Engineering and Healthcare. View
  36. Verma A. Advanced Healthcare Systems. View
  37. Kalaichelvi N, Kalaiselvi T, Somasundaram K. Applied Smart Health Care Informatics. View
  38. Sharma P, Goyal D, Tiwari N. Congress on Intelligent Systems. View
  39. Verma A. Deep Learning Technologies for the Sustainable Development Goals. View
  40. Shivhare S, Kumar N. Proceedings of Academia-Industry Consortium for Data Science. View
  41. Alpar O, Krejcar O. Bioinformatics and Biomedical Engineering. View
  42. Alpar O, Krejcar O. Bioinformatics and Biomedical Engineering. View
  43. Halder R, Sharmin N. Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning. View
  44. Son M, Bae J, Tong E, Chen H. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. View