Iulian Emil Tampu
@IulianE_Tampu📚PhD student in Biomedical Imaging @LiU 🇸🇪 | 📷Landscape and macro photographer | 🤸♂️Huge fan of sports
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Deep learning model explainability analysis combined with quantitative MRI relaxometry highlights tumor-like brain regions invisible in conventional MRI data. Check out our latest paper! doi.org/10.1088/2632-2…
I am happy to share our latest research on deep learning-based analysis of optical coherence tomography images of thyroid tissue. We developed methods to classify between normal and abnormal tissue, as well as among different types of thyroid diseases. onlinelibrary.wiley.com/doi/10.1002/jb…
Now accepted for Scientific Data 🎉
Due to the computational complexity of 3D deep learning, some researchers use a 2D CNN on each slice in a volume and then combine all slice predictions. @IulianE_Tampu showed that this can lead to inflated test accuracy. arxiv.org/abs/2202.12267
Many do research on brain tumor segmentation using deep learning. PhD student @IulianE_Tampu showed that using quantitative MR images can further improve the results, compared to using conventional MR images. Presented at ISMRM 2022.
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