Supervised Projects

Self-supervised learning of optoacoustic tomography signals

• Das Capstone project, 2022

Interpretable optoacoustic tomography

• DAS Capstone project, 2021

Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network

• DAS Capstone project, 2021

Anomaly detection in temporal lake weather station data using autoencoders

• DAS Capstone project, 2021

Bi-directional RNN models for multi-sensor time-series analysis of meteorological readings

• DAS Capstone project, 2021

Transfer learning for anatomical structure agnostic segmentation with adversarial networks

• Semester project, 2019.

Towards semantic segmentation in MRI: Efficient active learning with CNNs

• Master thesis, 2018.

Interactive bone segmentation using ensemble of deep neural networks

• Master thesis, 2018.

Alignment of ultrasound to computed tomography images using bone surfaces

• Master thesis, 2017.

Detection of unique and consistent anatomical landmarks in medical images

• Master thesis, 2017.

Interactive MR segmentation using random forests and multi-resolution random walker

• Semester project, 2016.

Feature extraction and sampling for supervised learning in MRI segmentation

• Master thesis, 2016.