Spremljaj
Jana Eder
Jana Eder
Druga imenaJana Kemnitz
Siemens Technology
Preverjeni e-poštni naslov na siemens.com
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Leto
Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain
J Kemnitz, CF Baumgartner, F Eckstein, A Chaudhari, A Ruhdorfer, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 33, 483-493, 2020
482020
The role of thigh muscle and adipose tissue in knee osteoarthritis progression in women: data from the Osteoarthritis Initiative
J Kemnitz, W Wirth, F Eckstein, AG Culvenor
Osteoarthritis and cartilage 26 (9), 1190-1195, 2018
352018
Industrial federated learning–requirements and system design
T Hiessl, D Schall, J Kemnitz, S Schulte
International Conference on Practical Applications of Agents and Multi-Agent …, 2020
342020
Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas
J Kemnitz, F Eckstein, AG Culvenor, A Ruhdorfer, T Dannhauer, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 30, 489-503, 2017
322017
Moderate physical activity and prevention of cartilage loss in people with knee osteoarthritis: data from the osteoarthritis initiative
A Bricca, W Wirth, CB Juhl, J Kemnitz, DJ Hunter, CK Kwoh, F Eckstein, ...
Arthritis Care & Research 71 (2), 218-226, 2019
302019
Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data …
W Wirth, F Eckstein, J Kemnitz, CF Baumgartner, E Konukoglu, D Fuerst, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 34, 337-354, 2021
272021
Longitudinal change in thigh muscle strength prior to and concurrent with symptomatic and radiographic knee osteoarthritis progression: data from the Osteoarthritis Initiative
J Kemnitz, W Wirth, F Eckstein, A Ruhdorfer, AG Culvenor
Osteoarthritis and Cartilage 25 (10), 1633-1640, 2017
272017
Cohort-based Federated Learning Services for Industrial Collaboration on the Edge
T Hiessl, SR Lakani, J Kemnitz, D Schall, S Stefan
TechRxiv, 2021
242021
Mesenchymal iron deposition is associated with adverse long‐term outcome in non‐alcoholic fatty liver disease
SK Eder, A Feldman, G Strebinger, J Kemnitz, S Zandanell, D Niederseer, ...
Liver International 40 (8), 1872-1882, 2020
242020
Evaluation of hyperparameter-optimization approaches in an industrial federated learning system
S Holly, T Hiessl, SR Lakani, D Schall, C Heitzinger, J Kemnitz
Data Science–Analytics and Applications: Proceedings of the 4th …, 2022
172022
Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep‐Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes …
F Eckstein, AS Chaudhari, D Fuerst, M Gaisberger, J Kemnitz, ...
Arthritis Care & Research 74 (6), 929-936, 2022
112022
Validation of a 3D thigh muscle and adipose tissue segmentation method using statistical shape models
J Kemnitz, F Eckstein, AG Culvenor, A Ruhdorfer, T Dannhauer, ...
Osteoarthritis and Cartilage 26, S457-S458, 2018
92018
Combining heterogeneously labeled datasets for training segmentation networks
J Kemnitz, CF Baumgartner, W Wirth, F Eckstein, SK Eder, E Konukoglu
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
82018
A Deep Learning Automated Segmentation Algorithm Accurately Detects Differences in Longitudinal Cartilage Thickness Loss–Data from the FNIH Biomarkers Study of the …
F Eckstein, AS Chaudhari, D Fuerst, M Gaisberger, J Kemnitz, ...
Arthritis Care & Research, 2020
72020
Brief Report: Loss of Muscle Strength Prior to Knee Replacement: A Question of Anatomic Cross‐Sectional Area or Specific Strength?
AG Culvenor, FC Hamler, J Kemnitz, W Wirth, F Eckstein
Arthritis & Rheumatology 70 (2), 222-229, 2018
62018
Towards robust and transferable iiot sensor based anomaly classification using artificial intelligence
J Kemnitz, T Bierweiler, H Grieb, S von Dosky, D Schall
Data Science–Analytics and Applications: Proceedings of the 4th …, 2022
52022
Minimal-Configuration Anomaly Detection for IIoT Sensors: A Systematic Analysis of Deep Learning Approaches
C Heistracher, A Jalali, A Suendermann, S Meixner, D Schall, B Haslhofer, ...
Data Science–Analytics and Applications: Proceedings of the 4th …, 2022
42022
Muscle function tests as supportive outcome measures for performance-based and self-reported physical function in patients with knee osteoarthritis: exploratory analysis of …
PM Holm, J Kemnitz, T Bandholm, M Wernbom, HM Schrøder, ST Skou
The Journal of Strength & Conditioning Research, 2022
42022
Local MRI-based measures of thigh adipose tissue derived from fully automated deep convolutional neural network-based segmentation show a comparable responsiveness to …
J Kemnitz, E Steidle-Kloc, W Wirth, D Fuerst, A Wisser, SK Eder, ...
Annals of Anatomy-Anatomischer Anzeiger 240, 151866, 2022
42022
Transfer learning strategies for anomaly detection in iot vibration data
C Heistracher, A Jalali, I Strobl, A Suendermann, S Meixner, S Holly, ...
IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society …, 2021
32021
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