Matthew DiFranco

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Chief Scientific Officer

Austria

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About

Matthew DiFranco is the Chief Scientific Officer at ImageBiopsy Lab in Austria. His research focuses on the application of artificial intelligence in medical imaging, particularly in automated bone age assessment, radiographic measurements, and the evaluation of hip dysplasia. Recent publications highlight the use of deep learning techniques for accurate and efficient radiographic analysis in pediatric and adult populations.

Recent Grants

Grant: Close

Bone Multi-modal Automated Trabecular Histomorphometry

Open Date: 2012-05-15

Close Date: 2014-05-14

Grant: Close

Adaptive Machine Learning for Medical Image Labeling

Open Date: 2006-01-01

Close Date:

Articles (10)

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (3)

Stefan Nehrer

AUSTRIA

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Tiago Paixao

Head of Quantitative Biology & Digital Science

Instituto Gulbenkian de Ciência

PORTUGAL

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Joel Wells

UNITED STATES

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Matthew DiFranco

Research Interests

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About

Recent Grants

Articles (10)

Automated bone age assessment in a German pediatric cohort: agreement between an artificial intelligence software and the manual Greulich and Pyle method

Applicability and robustness of an artificial intelligence-based assessment for Greulich and Pyle bone age in a German cohort

Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination

Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip

Artificial intelligence-generated hip radiological measurements are fast and adequate for reliable assessment of hip dysplasia

Deep Learning-Generated Radiographic Hip Dysplasia Parameters: Relationship to Postoperative Patient-Reported Outcome Measures

Inter-observer agreement of vertebral fracture assessment with dual-energy x-ray absorptiometry equipment

Fully automated deep learning for knee alignment assessment in lower extremity radiographs: a cross-sectional diagnostic study

A novel quantitative metric for joint space width: data from the osteoarthritis initiative (OAI)

Biomechanical comparison of knotless vs. knotted suture anchors in the acetabular rim with respect to bone density

Collaborators (3)

Stefan Nehrer

Tiago Paixao

Joel Wells

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