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- 2023
-
Mark
Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
(
- Master (Two yrs)
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Mark
Quality enhancement of time-resolved computed tomography scans with cycleGAN
(
- Master (Two yrs)
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Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
(
- Master (Two yrs)
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Mark
Fog detection using an artificial neural network
(
- Master (Two yrs)
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Mark
Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
(
- Master (Two yrs)
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Mark
Beyond Traditional Tomography: X-ray Multi-projection Imaging for Additive Manufacturing
(
- Bach. Degree
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Mark
Predicting Protein Stability with Machine Learning
(
- Prof. qual. >4 yrs
- 2022
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Mark
Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
(
- Master (Two yrs)
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Mark
Radar Detection Using Deep Learning
(
- Master (Two yrs)
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Mark
Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline
(
- Master (Two yrs)