Projects

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All Research Projects Open Source
Biomarkers Voice Clasifier App
Small Android demo application which classifies singing vs speaking vs silence of the last 2 seconds based on microphone sensor data.
Code
Biomarkers Voice Clasifier App
Panoramic based 3D-Viewer
App that shows computer science department exhibition online
Online
Code Video Open App Documentation
Panoramic based 3D-Viewer
Deep Learning based reach-and-grasp EEG decoder
Research internship project where I conducted literature-review and compare state-of-the-art analysis used in EEG signal processing. Implemented DL pipeline to decode grasping action from EEG
Code
Deep Learning based reach-and-grasp EEG decoder
Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
Automatic derived parameter for valve motion assessment and interactive visualization dashboard for cluster analysis and anomaly detec.
Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
Warehouse storing route optimization with Reinforcement Learning
Small ilustrative example of Reinforcement Learning algorithm for optimal-storing objects in a warehouse.
Code
Warehouse storing route optimization with Reinforcement Learning
Assessment of cardiac valve motion on time-resolved MRI images using deep learning
M.Sc. Thesis carried out in collaboration with Siemens Healthineers. Research state-of-the-art literature on cardiac MRI slice tracking and medical landmark detection. Develop a robust novel valve tracking 3D-CNN algorithm based on heatmap regression
Summary PDF Report
Assessment of cardiac valve motion on time-resolved MRI images using deep learning
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
The project aims to combine multi-sequence CMR data to classify the myocardial pathology. It willl be segmented into into normal, infarcted and edema regions, which is essential in the diagnosis and treatment management for patients suffering from myocardial infarction (MI)
Code
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
Financial Transaction Text Clasifier
Multinomial Bayes Text classifier to categorized financial transactions into seven types
Code
Financial Transaction Text Clasifier
Adaptive Frame Rate for Egocentric Video
New adaptive sampling strategy based on a motion context measure for ego +centric video was developed. The new method enables to save energy keeping a promising performance rate.
PDF View Report
Adaptive Frame Rate for Egocentric Video
ECG-based algorithm for Annotation of Resuscitation Episode
B.Sc. Thesis where I implemented a GUI to help ECG annotations and developed a machine learning algorithm to retrospectively classify arrhythmia based on 5 more discriminative ECG features
ECG-based algorithm for Annotation of Resuscitation Episode

Publications

Seung Su Yoon, Carola Fischer, Daniel Amsel, Maria Monzon, Solenn Toupin, Théo Pezel, Jérôme Garotç, Jens Wetzl, Andreas Maier, Daniel Giese (2023). Fully automated AI-based cardiac motion parameter extraction – application to mitral and tricuspid valves on long-axis cine MR images. European Journal of Radiology.

PDF Cite DOI

Maria Monzon, Seung Su Yoon, Carola Fischer, Andreas Maier, Jens Wetz, Daniel Giese (2021). Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning. International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition.

PDF Cite Video

Ning Jin, Maria Monzon, Teodora Chitiboi, Aaron Pruitt, Daniel Giese, Matthew Tong, Orlando P Simonetti (2021). Automated Vessel Segmentation for 2D Phase Contrast MR Using Deep Learning. International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition.

PDF Cite Video