Claudia Lindner

ORCID: 0000-0001-9396-3436
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About
Contact & Profiles
Research Areas
  • Hip disorders and treatments
  • Osteoarthritis Treatment and Mechanisms
  • Orthopaedic implants and arthroplasty
  • Total Knee Arthroplasty Outcomes
  • Lower Extremity Biomechanics and Pathologies
  • Medical Imaging and Analysis
  • Dental Radiography and Imaging
  • Bone and Joint Diseases
  • Shoulder Injury and Treatment
  • Bone health and osteoporosis research
  • Brain Metastases and Treatment
  • Genetic and phenotypic traits in livestock
  • Orthopedic Infections and Treatments
  • Rheumatoid Arthritis Research and Therapies
  • Forensic Anthropology and Bioarchaeology Studies
  • Glioma Diagnosis and Treatment
  • Cancer-related molecular mechanisms research
  • Advanced X-ray and CT Imaging
  • Knee injuries and reconstruction techniques
  • Human Pose and Action Recognition
  • Game Theory and Voting Systems
  • Image Retrieval and Classification Techniques
  • Musculoskeletal synovial abnormalities and treatments
  • Auction Theory and Applications
  • Bone fractures and treatments

University of Manchester
2015-2025

Manchester Academic Health Science Centre
2023-2024

BOKU University
2019

Medical Research Council
2015

TU Dresden
2013-2014

Klinik und Poliklinik für Psychotherapie und Psychosomatik
2014

University Hospital Carl Gustav Carus
2009-2013

Heinrich Heine University Düsseldorf
1997-2010

University of St. Gallen
2009

University Hospital Ulm
2009

Dental radiography plays an important role in clinical diagnosis, treatment and surgery. In recent years, efforts have been made on developing computerized dental X-ray image analysis systems for usages. A novel framework objective evaluation of automatic algorithms has established under the auspices IEEE International Symposium Biomedical Imaging 2015 Bitewing Radiography Caries Detection Challenge Cephalometric Image Analysis Challenge. this article, we present datasets, methods results...

10.1016/j.media.2016.02.004 article EN cc-by Medical Image Analysis 2016-02-28

A widely used approach for locating points on deformable objects in images is to generate feature response each point, and then fit a shape model these images. We demonstrate that Random Forest regression-voting can be high quality quickly. Rather than using generative or discriminative evaluate pixel, regressor cast votes the optimal position of point. show this leads fast accurate matching when applied Constrained Local Model framework. technique detail, compare it with range commonly...

10.1109/tpami.2014.2382106 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2014-12-19

Cephalometric tracing is a standard analysis tool for orthodontic diagnosis and treatment planning. The aim of this study was to develop validate fully automatic landmark annotation (FALA) system finding cephalometric landmarks in lateral cephalograms its application the classification skeletal malformations. Digital 400 subjects (age range: 7-76 years) were available. All had been manually traced by two experienced orthodontists with 19 landmarks, eight clinical parameters calculated each...

10.1038/srep33581 article EN cc-by Scientific Reports 2016-09-20

Extraction of bone contours from radiographs plays an important role in disease diagnosis, preoperative planning, and treatment analysis. We present a fully automatic method to accurately segment the proximal femur anteroposterior pelvic radiographs. A number candidate positions are produced by global search with detector. Each is then refined using statistical shape model together local detectors for each point. Both models use Random Forest regression vote optimal positions, leading robust...

10.1109/tmi.2013.2258030 article EN IEEE Transactions on Medical Imaging 2013-04-12

The aims of this study were to develop an automatic system capable calculating four radiological measurements used in the diagnosis and monitoring cerebral palsy (CP)-related hip disease, demonstrate that these are sufficiently accurate be clinical practice.

10.1302/0301-620x.107b1.bjj-2024-0894 article EN The Bone & Joint Journal 2025-01-01

Abstract Femoral neck width (FNW) derived from DXA scans may provide a useful adjunct to hip fracture prediction. Therefore, we investigated whether FNW is related risk independently of femoral bone mineral density (FN-BMD), using genetic approach. was points automatically placed on the proximal femur 38 150 individuals (mean age 63.8 yr, 48.0% males) in UK Biobank (UKB). Genome-wide association study (GWAS) identified 71 independent genome-wide significant SNPs, comprising genes involved...

10.1093/jbmr/zjae002 article EN cc-by Journal of Bone and Mineral Research 2024-01-03

The aim of this study is to present a newly developed automated method determine radiographic measurements hip morphology on dual-energy x-ray absorptiometry (DXA) images. secondary was compare the performance and manual measurements.

10.1016/j.ostima.2024.100181 article EN cc-by-nc-nd Osteoarthritis Imaging 2024-04-16

Introduction Bone healing is a well-orchestrated process involving various bone cells and signaling pathways, where disruptions can result in delayed or incomplete healing. MicroRNAs (miRNAs) are small non-coding RNAs capable of influencing cellular processes, including remodeling. Due to their biological relevance stable presence biofluids, miRNAs may serve as candidates for diagnosis prognosis The aim the study was investigate changes circulating blood during rat calvaria defects...

10.3389/fbioe.2025.1527493 article EN cc-by Frontiers in Bioengineering and Biotechnology 2025-03-28

Background and purpose - Being able to predict the hip-knee-ankle angle (HKAA) from standard knee radiographs allows studies on malalignment in cohorts lacking full-limb radiography. We aimed develop an automated image analysis pipeline measure femoro-tibial (FTA) test various FTA definitions HKAA. Patients methods included 110 pairs of radiographs. Automatic search algorithms found anatomic landmarks Based these landmarks, was automatically calculated according 9 different (6 described...

10.1080/17453674.2020.1779516 article EN cc-by Acta Orthopaedica 2020-06-22

Conventional scoring methods for radiographic hip OA (rHOA) are subjective and show inconsistent relationships with clinical outcomes. To provide a more objective rHOA method, we aimed to develop semi-automated classifier based on DXA images confirm its

10.1093/rheumatology/keab927 article EN cc-by Lara D. Veeken 2021-12-14

It remains unclear how the different features of radiographic hip osteoarthritis (rHOA) contribute to pain. We examined relationship between rHOA, including its individual components, and pain using a novel dual-energy x-ray absorptiometry (DXA)-based method. Hip DXAs were obtained from UK Biobank. A automated method minimum joint space width (mJSW) points placed around femoral head acetabulum. Osteophyte areas at lateral acetabulum, superior inferior derived manually. Semi-quantitative...

10.1016/j.bone.2021.116146 article EN cc-by Bone 2021-08-11

Objective To test whether previously reported hip morphology or osteoarthritis (OA) susceptibility loci are associated with proximal femur shape as represented by statistical model (SSM) modes and univariate multivariate quantitative traits. Methods We used pelvic radiographs genotype data from 929 subjects unilateral OA who had been recruited for the Arthritis Research UK Osteoarthritis Genetics Consortium genome‐wide association study. built 3 SSMs capturing variation of OA‐unaffected in...

10.1002/art.39186 article EN cc-by Arthritis & Rheumatology 2015-05-01

To examine whether acetabular dysplasia (AD), cam and/or pincer morphology are associated with radiographic hip osteoarthritis (rHOA) and pain in UK Biobank (UKB) and, if so, what distribution of osteophytes is observed.

10.1016/j.joca.2021.08.002 article EN cc-by Osteoarthritis and Cartilage 2021-08-20
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