Literature DB >> 32053527

Machine Learning Applications in Orthopaedic Imaging.

Vincent M Wang1, Carrie A Cheung, Albert J Kozar, Bert Huang.   

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Year:  2020        PMID: 32053527      PMCID: PMC7247552          DOI: 10.5435/JAAOS-D-19-00688

Source DB:  PubMed          Journal:  J Am Acad Orthop Surg        ISSN: 1067-151X            Impact factor:   3.020


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  12 in total

Review 1.  A survey on deep learning in medical image analysis.

Authors:  Geert Litjens; Thijs Kooi; Babak Ehteshami Bejnordi; Arnaud Arindra Adiyoso Setio; Francesco Ciompi; Mohsen Ghafoorian; Jeroen A W M van der Laak; Bram van Ginneken; Clara I Sánchez
Journal:  Med Image Anal       Date:  2017-07-26       Impact factor: 8.545

2.  Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network.

Authors:  Adhish Prasoon; Kersten Petersen; Christian Igel; François Lauze; Erik Dam; Mads Nielsen
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

3.  Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy.

Authors:  M Antico; F Sasazawa; M Dunnhofer; S M Camps; A T Jaiprakash; A K Pandey; R Crawford; G Carneiro; D Fontanarosa
Journal:  Ultrasound Med Biol       Date:  2019-11-22       Impact factor: 2.998

4.  High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision.

Authors:  Manisha Bahl; Regina Barzilay; Adam B Yedidia; Nicholas J Locascio; Lili Yu; Constance D Lehman
Journal:  Radiology       Date:  2017-10-17       Impact factor: 11.105

5.  Muscle Type and Gender Recognition Utilising High-Level Textural Representation in Musculoskeletal Ultrasonography.

Authors:  Sofoklis Katakis; Nikolaos Barotsis; Dimitrios Kastaniotis; Christos Theoharatos; Panagiotis Tsiganos; George Economou; Elias Panagiotopoulos; Spiros Fotopoulos; George Panayiotakis
Journal:  Ultrasound Med Biol       Date:  2019-04-13       Impact factor: 2.998

6.  Hip Fracture Discrimination Based on Statistical Multi-parametric Modeling (SMPM).

Authors:  Julio Carballido-Gamio; Aihong Yu; Ling Wang; Yongbin Su; Andrew J Burghardt; Thomas F Lang; Xiaoguang Cheng
Journal:  Ann Biomed Eng       Date:  2019-05-31       Impact factor: 3.934

7.  Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients.

Authors:  Zachary DeVries; Mohamad Hoda; Carly S Rivers; Audrey Maher; Eugene Wai; Dita Moravek; Alexandra Stratton; Stephen Kingwell; Nader Fallah; Jérôme Paquet; Philippe Phan
Journal:  Spine J       Date:  2019-09-13       Impact factor: 4.166

8.  Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee.

Authors:  Jurgen Fripp; Stuart Crozier; Simon K Warfield; Sébastien Ourselin
Journal:  IEEE Trans Med Imaging       Date:  2009-06-10       Impact factor: 10.048

9.  Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

Authors:  Nicholas Bien; Pranav Rajpurkar; Robyn L Ball; Jeremy Irvin; Allison Park; Erik Jones; Michael Bereket; Bhavik N Patel; Kristen W Yeom; Katie Shpanskaya; Safwan Halabi; Evan Zucker; Gary Fanton; Derek F Amanatullah; Christopher F Beaulieu; Geoffrey M Riley; Russell J Stewart; Francis G Blankenberg; David B Larson; Ricky H Jones; Curtis P Langlotz; Andrew Y Ng; Matthew P Lungren
Journal:  PLoS Med       Date:  2018-11-27       Impact factor: 11.069

Review 10.  Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.

Authors:  Filippo Pesapane; Marina Codari; Francesco Sardanelli
Journal:  Eur Radiol Exp       Date:  2018-10-24
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