Nicolas Gerber

Nicolas Gerber

Universität Bern

H-index: 24

Europe-Switzerland

About Nicolas Gerber

Nicolas Gerber, With an exceptional h-index of 24 and a recent h-index of 19 (since 2020), a distinguished researcher at Universität Bern, specializes in the field of surgical planning, image guided therapy, medical image analysis, software development, artificial intelligence.

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

Comparing image normalization techniques in an end-to-end model for automated modic changes classification from MRI images

A deep learning method for quantification of femoral head necrosis based on routine hip MRI for improved surgical decision making

Pelvis MRI for cinematic rendering of Pelvis 3D models using fast T1 images and deep learning

A Deep Learning Approach for Automatic 3D Segmentation of Hip Cartilage and Labrum from Direct Hip MR Arthrography

Does the dGEMRIC index recover 3 years after surgical FAI correction and an initial dGEMRIC decrease at 1-year follow-up? A controlled prospective study

Deep-learning-based segmentation of the shoulder from MRI with inference accuracy prediction

Automated quantification of cartilage quality for hip treatment decision support

Automatic quantification of fatty infiltration of the supraspinatus from MRI

Nicolas Gerber Information

University

Position

Head of Personalised Medicine Research sitem Center

Citations(all)

1862

Citations(since 2020)

1033

Cited By

1065

hIndex(all)

24

hIndex(since 2020)

19

i10Index(all)

37

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Nicolas Gerber Skills & Research Interests

surgical planning

image guided therapy

medical image analysis

software development

artificial intelligence

Top articles of Nicolas Gerber

Comparing image normalization techniques in an end-to-end model for automated modic changes classification from MRI images

Brain and Spine

2024/1/1

Andrea Cina
Andrea Cina

H-Index: 1

Nicolas Gerber
Nicolas Gerber

H-Index: 17

A deep learning method for quantification of femoral head necrosis based on routine hip MRI for improved surgical decision making

Journal of personalized medicine

2023/1/12

Pelvis MRI for cinematic rendering of Pelvis 3D models using fast T1 images and deep learning

2023

A Deep Learning Approach for Automatic 3D Segmentation of Hip Cartilage and Labrum from Direct Hip MR Arthrography

2023/11/29

Does the dGEMRIC index recover 3 years after surgical FAI correction and an initial dGEMRIC decrease at 1-year follow-up? A controlled prospective study

The American journal of sports medicine

2023/6

Deep-learning-based segmentation of the shoulder from MRI with inference accuracy prediction

Diagnostics

2023/5/9

Nicolas Gerber
Nicolas Gerber

H-Index: 17

Michael Schär
Michael Schär

H-Index: 25

Automated quantification of cartilage quality for hip treatment decision support

International journal of computer assisted radiology and surgery

2022/11

Automatic quantification of fatty infiltration of the supraspinatus from MRI

Proceedings of The 20th Annual Meeting of the Interna

2022/6/11

Nicolas Gerber
Nicolas Gerber

H-Index: 17

Michael Schär
Michael Schär

H-Index: 25

Deep Learning Fully Automated 3D Models of Hip Labrum Based on MR Arthrography Are Feasible and Allow Detection of Differences in Labrum Volume among Different Hip Deformities …

2022/6

Deep Learning Based Fully Automated 3D Models of Hip Labrum based on MR arthrography are feasible and allow detection of differences in labrum volume among different hip …

2022

Three-dimensional magnetic resonance imaging bone models of the hip joint using deep learning: dynamic simulation of hip impingement for diagnosis of intra-and extra-articular …

Orthopaedic journal of sports medicine

2021/12/6

System for determining proximity of a surgical tool to key anatomical features

2021/9/16

Deep learning for automatic quantification of AVN of the femoral head on 3D MRI in patients eligible for joint preserving surgery: A pilot study

International Journal of Computer Assisted Radiology and Surgery

2021/6/4

Automatic shoulder bone segmentation from CT arthrograms based on deep learning

International Journal of Computer Assisted Radiology and Surgery

2021/6/4

Posterior extra-articular ischiofemoral impingement can be caused by the lesser and greater trochanter in patients with increased femoral version: dynamic 3D CT–based hip …

Orthopaedic journal of sports medicine

2021/5/25

Deep learning for fully-automatic quantification of avascular necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study

Skeletal radiology

2021/5/17

How does the glenoid size affect rotator cuff loading? A musculoskeletal analysis

2021

Nicolas Gerber
Nicolas Gerber

H-Index: 17

A Musculoskeletal Parameter Study of Scapula Characteristics Affecting Rotator Cuff Muscle Forces

2021

Nicolas Gerber
Nicolas Gerber

H-Index: 17

Machine Learning Enables Fast Automatic Bone Segmentation For 3D MRI-Based Hip Impingement Detection Using T1 VIBE DIXON Of The Pelvis

2021

Semantic consistent unsupervised domain adaptation for cross-modality medical image segmentation

2021

See List of Professors in Nicolas Gerber University(Universität Bern)

Co-Authors

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