David Abramian

Orcid: 0000-0002-1932-2451

According to our database1, David Abramian authored at least 12 papers between 2019 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2021
Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters.
NeuroImage, 2021

Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks.
CoRR, 2021

Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

What is The Best Data Augmentation For 3D Brain Tumor Segmentation?
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Structural mediation of human brain activity revealed by white-matter interpolation of fMRI.
NeuroImage, 2020

What is the best data augmentation approach for brain tumor segmentation using 3D U-Net?
CoRR, 2020

Anatomically Informed Bayesian Spatial Priors for FMRI Analysis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Vox2Vox: 3D-GAN for Brain Tumour Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN.
CoRR, 2019

Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Refacing: Reconstructing Anonymized Facial Features Using GANS.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019


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