Adrien-Maxence Hespel

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Assistant Professor of Radiology

University of Tennessee College of Veterinary Medicine

United States

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Recent Grants

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Creation of a veterinary MIRC

Open Date: 2014-04-01

Close Date:

Grant: Close

Development of 3D printing in veterinary medicine

Open Date: 2013-04-01

Close Date: 2015-07-01

Articles (10)

Year:

2023

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2023

Year:

2023

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2023

Year:

2023

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2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (8)

Pierre‐Yves Mulon

UNITED STATES

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Parminder Basran

Associate Research Professor

Cornell University

UNITED STATES

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Ehren McLarty

University of California, Davis

UNITED STATES

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Jody Lulich

University of Minnesota

UNITED STATES

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Ann Carstens

Charles Sturt University

AUSTRALIA

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Andrew Cushing

UNITED STATES

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Constance Fazio

Assistant Professor of Radiology

University of Tennessee College of Veterinary Medicine

UNITED STATES

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Linden Craig

University of Tennessee College of Veterinary Medicine

UNITED STATES

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Adrien-Maxence Hespel

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (10)

The most common types of uroliths larger than 1 mm are readily visible and accurately measured in an in vitro setting mimicking the canine abdomen using digital radiography

Australian perspectives on artificial intelligence in veterinary practice

Australian perspectives on artificial intelligence in veterinary practice

Bilateral patellar luxation in a neonatal reticulated giraffe calf ( <i>Giraffa camelopardalis reticulata</i> )

Bilateral patellar luxation in a neonatal reticulated giraffe calf (Giraffa camelopardalis reticulata)

Radiographic evidence of metaphyseal sclerosis secondary to canine distemper virus: 4 cases in juvenile dogs

Artificial intelligence 101 for veterinary diagnostic imaging

Artificial intelligence 101 for veterinary diagnostic imaging

Comparison of error rates between four pretrained DenseNet convolutional neural network models and 13 board‐certified veterinary radiologists when evaluating 15 labels of canine thoracic radiographs

Comparison of error rates between four pretrained DenseNet convolutional neural network models and 13 board-certified veterinary radiologists when evaluating 15 labels of canine thoracic radiographs

Collaborators (8)

Pierre‐Yves Mulon

Parminder Basran

Ehren McLarty

Jody Lulich

Ann Carstens

Andrew Cushing

Constance Fazio

Linden Craig

Make your next move.