Frank Niemeyer

About Frank Niemeyer

Frank Niemeyer, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Universität Ulm, specializes in the field of deep learning, machine learning, computational biomechanics, computational biology, computational modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automatic grading of intervertebral disc degeneration in lumbar dog spines

Deep phenotyping the cervical spine: automatic characterization of cervical degenerative phenotypes based on T2-weighted MRI

Computer-Based Mechanobiological Fracture Healing Model Predicts Non-Union of Surgically Treated Diaphyseal Femur Fractures

Endplate abnormalities, Modic changes and their relationship to alignment parameters and surgical outcomes in the cervical spine

An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles

High-intensity zones on mri of the cervical spine in patients: epidemiology and association with pain and disability

The Modic‐endplate‐complex phenotype in cervical spine patients: Association with symptoms and outcomes

Analysis of lumbar paravertebral muscles on axial MRI: An accurate automated AI-based model

Frank Niemeyer Information

University

Position

Institute for Biomechanics (www.biomechanics.de)

Citations(all)

984

Citations(since 2020)

672

Cited By

492

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

22

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Frank Niemeyer Skills & Research Interests

deep learning

machine learning

computational biomechanics

computational biology

computational modeling

Top articles of Frank Niemeyer

Automatic grading of intervertebral disc degeneration in lumbar dog spines

JOR spine

2024/6

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Deep phenotyping the cervical spine: automatic characterization of cervical degenerative phenotypes based on T2-weighted MRI

European Spine Journal

2023/11

Computer-Based Mechanobiological Fracture Healing Model Predicts Non-Union of Surgically Treated Diaphyseal Femur Fractures

Journal of Clinical Medicine

2023/5/14

Lucas Engelhardt
Lucas Engelhardt

H-Index: 3

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Endplate abnormalities, Modic changes and their relationship to alignment parameters and surgical outcomes in the cervical spine

Journal of Orthopaedic Research®

2023/1

An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles

European Spine Journal

2022/8

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Hans-Joachim Wilke
Hans-Joachim Wilke

H-Index: 47

High-intensity zones on mri of the cervical spine in patients: epidemiology and association with pain and disability

Global Spine Journal

2022/6

The Modic‐endplate‐complex phenotype in cervical spine patients: Association with symptoms and outcomes

Journal of Orthopaedic Research®

2022/2

Analysis of lumbar paravertebral muscles on axial MRI: An accurate automated AI-based model

Brain and Spine

2022

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Hans-Joachim Wilke
Hans-Joachim Wilke

H-Index: 47

Clinical validation of an automated tool to quantify size and fat content of lumbar paravertebral muscles

Brain and Spine

2022

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Hans-Joachim Wilke
Hans-Joachim Wilke

H-Index: 47

Sagittal wedging of intervertebral discs and vertebral bodies in the cervical spine and their associations with age, sex and cervical lordosis: A large‐scale morphological study

Clinical Anatomy

2021/10

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Dino Samartzis
Dino Samartzis

H-Index: 36

The impact of age, sex, disc height loss and T1 slope on the upper and lower cervical lordosis: a large-scale radiologic study

European Spine Journal

2021/9

ISSLS Prize in Bioengineering Science 2021: in vivo sagittal motion of the lumbar spine in low back pain patients—a radiological big data study

European spine journal

2021/5

Cervical spine MRI phenotypes and prediction of pain, disability and adjacent segment degeneration/disease after ACDF

Journal of Orthopaedic Research®

2021/3

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Dino Samartzis
Dino Samartzis

H-Index: 36

Simulating metaphyseal fracture healing in the distal radius

Biomechanics

2021/2/25

Radiographic cervical spine degenerative findings: a study on a large population from age 18 to 97 years

European Spine Journal

2021/2

A deep learning model for the accurate and reliable classification of disc degeneration based on MRI data

Investigative Radiology

2021/2/1

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Hans-Joachim Wilke
Hans-Joachim Wilke

H-Index: 47

Cervical spine endplate abnormalities and association with pain, disability, and adjacent segment degeneration after anterior cervical discectomy and fusion

Spine

2020/8/1

Estimating the three-dimensional vertebral orientation from a planar radiograph: Is it feasible?

Journal of biomechanics

2020/3/26

Frank Niemeyer
Frank Niemeyer

H-Index: 9

Hans-Joachim Wilke
Hans-Joachim Wilke

H-Index: 47

The impact of modic changes on preoperative symptoms and clinical outcomes in anterior cervical discectomy and fusion patients

Neurospine

2020/3

See List of Professors in Frank Niemeyer University(Universität Ulm)

Co-Authors

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