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D. Slezak

3 papers hereh-index 151.5k citations65 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20162020
most citedJoint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets

5 citations · 6 across the 2 of their papers we have counts for

collaborators

3 papers

eess.IV2020★ 1 cited

Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images

Julian Alberto Palladino, Diego Fernandez Slezak, Enzo Ferrante

Automatic segmentation of white matter hyperintensities in magnetic resonance images is of paramount clinical and research importance. Quantification of these lesions serve as a pr…

cs.CV2019★ 5 cited

Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets

Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante

Brain lesion and anatomy segmentation in magnetic resonance images are fundamental tasks in neuroimaging research and clinical practice. Given enough training data, convolutional n…

cs.AI2016

Emotional Intensity analysis in Bipolar subjects

Facundo Carrillo, Natalia Mota, Mauro Copelli +4

The massive availability of digital repositories of human thought opens radical novel way of studying the human mind. Natural language processing tools and computational models hav…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.