Allan Hummer

University of Würzburg — Germany

Neuroscience · Life Sciences

23h-index2.0kcitations67works2.02yr avg
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Research Topics

Functional Brain Connectivity Studies(17), Advanced Neuroimaging Techniques and Applications(11), Advanced MRI Techniques and Applications(10), Retinal Development and Disorders(7), Orthopaedic implants and arthroplasty(6)

Publications67 total

Are artificial intelligence generated lower extremity radiographic measurements accurate in a cohort with implants?
Skeletal Radiology·2025· 1 cited
Breaking the silence: AI’s contribution to detecting vertebral fractures in opportunistic CT scans in the elderly—a validation study
Archives of Osteoporosis·2025· 5 citedOpen Access
Intra-day, short- and long-term reliability of surface electromyographic measurements during a standardized measurement protocol for lower back pain patients
Journal of Back and Musculoskeletal Rehabilitation·2025
Reliability assessment of leg length and angular alignment on manual reads versus artificial intelligence-generated lower extremity radiographic measurements
Clinical Imaging·2024· 5 cited
Retinotopic cortical mapping in objective functional monitoring of macular therapy
British Journal of Ophthalmology·2024· 2 cited
Fully automated measurement of Cobb angles in coronal plane spine radiographs
Sports Orthopaedics and Traumatology·2024
FULLY AUTOMATED MEASUREMENT OF COBB ANGLES IN CORONAL PLANE SPINE RADIOGRAPHS
Osteoarthritis and Cartilage·2024· 1 citedOpen Access
Artificial intelligence‐based analyses of varus leg alignment and after high tibial osteotomy show high accuracy and reproducibility
Knee Surgery Sports Traumatology Arthroscopy·2023· 20 citedOpen Access
Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination
Skeletal Radiology·2023· 16 cited
Body height estimation from automated length measurements on standing long leg radiographs using artificial intelligence
Scientific Reports·2023· 12 citedOpen Access
Comparison of Stimulus Types for Retinotopic Cortical Mapping of Macular Disease
Translational Vision Science & Technology·2023· 5 citedOpen Access
Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip
Diagnostics·2023· 22 citedOpen Access
Intra- and inter-session reproducibility of artificial scotoma pRF mapping results at ultra-high fields
Journal of Vision·2022· 2 citedOpen Access
Artificial intelligence-generated hip radiological measurements are fast and adequate for reliable assessment of hip dysplasia
Bone & Joint Open·2022· 37 citedOpen Access
Body height estimation from automated length measurements on standing long leg radiographs using artificial intelligence
Research Square (Research Square)·2022· 1 citedOpen Access
Intrasession and Intersession Reproducibility of Artificial Scotoma pRF Mapping Results at Ultra-High Fields
eNeuro·2022· 7 citedOpen Access
Deep Learning-Generated Radiographic Hip Dysplasia Parameters: Relationship to Postoperative Patient-Reported Outcome Measures
Advances in Artificial Intelligence and Machine Learning·2022Open Access
Fully automated deep learning for knee alignment assessment in lower extremity radiographs: a cross-sectional diagnostic study
Skeletal Radiology·2021· 70 cited
Ultra-high field functional MRI based population receptive field mapping of retinal dystrophies
2021
Combining stimulus types for improved coverage in population receptive field mapping
NeuroImage·2021· 20 citedOpen Access
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Frequent Co-authors

Christian Windischberger(37), Rupert Lanzenberger(14), Georg S. Kranz(13), Michael Woletz(13), Martin Tik(12), Claus Lamm(12), Andreas Hahn(12), Ronald Sladky(11), Siegfried Kasper(11), Markus Ritter(10), Ursula Schmidt‐Erfurth(10), Sebastian Ganger(9), René Seiger(8), Christoph Kraus(7), Maximilian Pawloff(7), Martin Küblböck(6), Ulrike Kaufmann(6), Matthew D. DiFranco(6), Graham E. Holder(6), David Linhardt(6)