Index

Benchmarking Automatic Speaker Anonymization Methods for Healthy Speech

Evaluate Simpleshot: Simple implementation of few-shot classification on CXRs

Evaluate simpleshot – a simple implementation of few -shot classification on various findings on CXRs.

This report demonstrates that given sufficient pretraining data, we can achieve comparable classification results for complex findings such as pneumothorax , etc with less than 10 images.

 

Android App Respiratory Diseases

If you are interested, please send an email with your transcripts to paula.andrea.perez@fau.de with the subject: RepApp BA Thesis LME.

The students are expected to have proficiency in Android programming.

Text Embedddings in Pathological Speech

Evaluation of Quantum Annealing based Projection Selection for Emission Tomography

Differential privacy for securing speech-based deep learning models against gradient inversion attacks

A Hybrid TransUNet-TransFuse Architectural Framework for Ice Boundaries Extraction in Radio-Echo Sounding Data

Evaluation of the TransSounder [1] architecture for direct ice boundaries extraction from radio-echo sounding data.

References

[1] Ghosh, R., & Bovolo, F. (2022). Transsounder: A hybrid transunet-transfuse architectural framework for semantic segmentation of radar sounder data. IEEE Transactions on Geoscience and Remote Sensing60, 1-13.

3D CT Image Visualization using Blender

Introduction:

This project aims to develop a streamlined pipeline for 3D CT images visualization using Blender and Bioxel Nodes. You’ll create a step-by-step process to import, process, and render medical imaging data, resulting in high-quality scientific visualizations. This 5 ECTS project will enhance your technical skills and ability to visualize complex medical data.

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Source: https://omoolab.github.io/BioxelNodes/0.1.x/

 

Prospective candidates are warmly invited to send their CV and transcript to yipeng.sun@fau.de.

 

CBCT to CT Translation Using Deep Learning

Neural Network Implementation of Reaction-Diffusion Equations for Tumor Growth Modeling Using Stochastic Differential Equations