Your browser doesn't support javascript.
loading
Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning.
Jones, Brandon C; Wehrli, Felix W; Kamona, Nada; Deshpande, Rajiv S; Vu, Brian-Tinh Duc; Song, Hee Kwon; Lee, Hyunyeol; Grewal, Rasleen Kaur; Chan, Trevor Jackson; Witschey, Walter R; MacLean, Matthew T; Josselyn, Nicholas J; Iyer, Srikant Kamesh; Al Mukaddam, Mona; Snyder, Peter J; Rajapakse, Chamith S.
Affiliation
  • Jones BC; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadel
  • Wehrli FW; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America. Electronic address: felix.wehrli@pennmedicine.upenn.edu.
  • Kamona N; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadel
  • Deshpande RS; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadel
  • Vu BD; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadel
  • Song HK; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America. Electronic address: heekwon.song@pennmedicine.upenn.edu.
  • Lee H; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Republic of Korea. Electronic ad
  • Grewal RK; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America. Electronic address: rasleen.grewal@pennmedicine.upenn.edu.
  • Chan TJ; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadel
  • Witschey WR; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America. Electronic address: witschey@pennmedicine.upenn.edu.
  • MacLean MT; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America. Electronic address: Matthew.Maclean@unchealth.unc.edu.
  • Josselyn NJ; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Data Science, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609, United States of America. Ele
  • Iyer SK; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America.
  • Al Mukaddam M; Department of Medicine, Division of Endocrinology, Perelman School of Medicine, University of Pennsylvania, Perelman Center for Advanced Medicine, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States of America. Electronic address: mona.almukaddam@pennmedicine.upenn.edu.
  • Snyder PJ; Department of Medicine, Division of Endocrinology, Perelman School of Medicine, University of Pennsylvania, Perelman Center for Advanced Medicine, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States of America. Electronic address: pjs@pennmedicine.upenn.edu.
  • Rajapakse CS; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America. Electronic address: chamith@pennmedicine.upenn.edu.
Bone ; 171: 116743, 2023 06.
Article in En | MEDLINE | ID: mdl-36958542
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Osteoporosis / Osteoporosis, Postmenopausal / Deep Learning Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: Bone Journal subject: METABOLISMO / ORTOPEDIA Year: 2023 Document type: Article
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Osteoporosis / Osteoporosis, Postmenopausal / Deep Learning Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: Bone Journal subject: METABOLISMO / ORTOPEDIA Year: 2023 Document type: Article