Franz MJ Pfister
Franz MJ Pfister
Data Science, LMU
Verifierad e-postadress på campus.lmu.de
TitelCiteras avÅr
Multiparametric optical analysis of mitochondrial redox signals during neuronal physiology and pathology in vivo
MO Breckwoldt, FMJ Pfister, PM Bradley, P Marinković, PR Williams, ...
Nature medicine 20 (5), 555, 2014
1152014
Data augmentation of wearable sensor data for parkinson's disease monitoring using convolutional neural networks
TT Um, FMJ Pfister, D Pichler, S Endo, M Lang, S Hirche, U Fietzek, ...
arXiv preprint arXiv:1706.00527, 2017
632017
Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization
TT Um, FMJ Pfister, DC Pichler, S Endo, M Lang, S Hirche, U Fietzek, ...
arXiv preprint arXiv:1808.02870, 2018
62018
A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson's Disease
M Lang, F Pfister, J Frohner, K Abedinpour, D Pichler, U Fietzek, T Um, ...
IEEE Transactions on Biomedical Engineering, 2019
22019
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning
J Goschenhofer, FMJ Pfister, KA Yuksel, B Bischl, U Fietzek, J Thomas
arXiv preprint arXiv:1904.10829, 2019
12019
Deep Learning in Objective Classification of Spontaneous Movement of Patients with Parkinson’s Disease Using Large-Scale Free-Living Sensor Data
F Pfister, D Kulić, T Um, D Pichler, A Ahmadi, M Lang, G König, F Achilles, ...
12017
Granular Motor State Monitoring of Free Living Parkinson's Disease Patients via Deep Learning
KA Yuksel, J Goschenhofer, HV Varma, U Fietzek, FMJ Pfister
arXiv preprint arXiv:1911.06913, 2019
2019
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning
H Bao, J Feng, N Dinh, H Zhang
arXiv preprint arXiv:1910.08037, 2019
2019
Advanced autonomous motor state detection from wrist-worn sensor in persons with PD: 2157
J Goschenhofer, F Pfister, K Yuksel, J Thomas, B Fischl, ...
Movement Disorders 34, 2019
2019
Recognition of subjects with early-stage Parkinson from free-living unilateral wrist-sensor data using a hierarchical machine learning model
FMJ Pfister, A von Schumann, J Bemetz, J Thomas, A Ceballos-Baumann, ...
JOURNAL OF NEURAL TRANSMISSION 126 (5), 663-663, 2019
2019
Quantification of the PD Motor Syndrome Using an Inclusive Score (PD9) Derived from Sensor Data with Deep Learning
F Pfister, J Goschenhofer, T Um, D Pichler, K Abedinpour, D Kulic, ...
MOVEMENT DISORDERS 33, S664-S665, 2018
2018
DISTINGUISHING ON FROM OFF MOTOR STATE BY PHONE ATTRIBUTE CODES IN PATIENTS WITH PARKINSON’S DISEASE
K Abedinpour, A Asaei, M Cernak, D Milana, R Advani, FMJ Pfister, ...
Age [yrs] 66, 7, 2018
2018
Long-term detection of motor fluctuations by wrist-worn sensors in Parkinson's disease
D Pichler, U Fietzek, F Pfister, A Ahmadi, F Achilles, K Abedinpour, ...
Basal Ganglia 8, 22, 2017
2017
Untersuchung und Beurteilung der motorischen Symptome der Parkinson-Erkrankung mittels eines am Handgelenk getragenen Sensors und eines Bewegungserfassungssystems
D Pichler, M Lang, FMJ Pfister, T Um, GCS König, S Endo, K Abedinpour, ...
DGN-Kongress 2017, 2017
2017
Acquisition, Validation and Preprocessing of Wrist-Worn Sensor Data in Patients with Parkinson’s Disease and Healthy Controls
D Pichler, M Lang, D Kulić, F Pfister, G Koenig, T Um, A Ahmadi, S Endo, ...
International Parkinson and Movement Disorder Society, 2017
2017
Blasenstörungen bei Parkinson-Syndromen
FMJ Pfister
Nervenheilkunde 35 (04), 214-221, 2016
2016
Time for change–closing the loop in Parkinson’s Disease
FMJ Pfister, AO Ceballos-Baumann, UM Fietzek
Basal Ganglia 4 (6), 191, 2016
2016
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Artiklar 1–17