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| * '''Image-Based Cytometry''' * '''ECG Analysis''' * '''Myoelectric Control of Prostheses''' * '''Fingerprints''' * '''Histopathological Image Analysis''' * '''Hidden Markov Models''' * '''Monte Carlo Methods''' * '''Analysis of Microarray Data''' * '''Monte Carlo Methods''' * '''Quality assessment using EEG''' * '''Segmentation of MRI''' * '''Biomedical Sensors''' * '''Wavelets Analysis''' |
Block-Seminar "Machine Learning for Biomedical Engineering"
Termine und Informationen
Erster Termin für Themenvergabe |
Montag, 28.04.2014, 10:00 in MAR 4.033 |
Verantwortlich |
Prof. Dr. Klaus-Robert Müller |
Dozent: |
Wojciech Samek (wojciech.samek@tu-berlin.de, Raum MAR 4.060) |
Sprache |
Englisch |
This seminar takes a closer look at specific applications of machine learning algorithms in the field of biomedical engineering.
Students will read, understand, evaluate and present selected research papers on machine learning methods in different applications settings. At the end of the semester, each student will present his/her topic in a 20 min talk (+ 10 min discussion) in English.
The topics of the seminar are:
Brain-Computer Interfacing
Bag-of-words representation for biomedical time series
Change-Point Detection
Image-Based Cytometry
ECG Analysis
Myoelectric Control of Prostheses
Fingerprints
Histopathological Image Analysis
Hidden Markov Models
Monte Carlo Methods
Analysis of Microarray Data
Monte Carlo Methods
Quality assessment using EEG
Segmentation of MRI
Biomedical Sensors
Wavelets Analysis