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E. Lopez

8 papers hereh-index 6106 citations10 works total

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

author position
  • first author7
  • middle author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.HC1
  • cs.LG1
  • eess.IV1
  • eess.SP1
same name
  • E. Lopez — 73 papers, h 37
  • E. Lopez — 38 papers, h 23
  • E. Lopez — 6 papers, h 3
  • E. Lopez — 2 papers, h 2
  • E. Lopez — 2 papers, h 4
  • E. Lopez — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedMulti-View Hypercomplex Learning for Breast Cancer Screening

6 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models

Eleonora Lopez, Luigi Sigillo, Federica Colonnese +2

Generating images from brain waves is gaining increasing attention due to its potential to advance brain-computer interface (BCI) systems by understanding how brain signals encode…

cs.CV2024★ 1 cited

TACE: Tumor-Aware Counterfactual Explanations

Eleonora Beatrice Rossi, Eleonora Lopez, Danilo Comminiello

The application of deep learning in medical imaging has significantly advanced diagnostic capabilities, enhancing both accuracy and efficiency. Despite these benefits, the lack of…

cs.CV2024

Towards Explaining Hypercomplex Neural Networks

Eleonora Lopez, Eleonora Grassucci, Debora Capriotti +1

Hypercomplex neural networks are gaining increasing interest in the deep learning community. The attention directed towards hypercomplex models originates from several aspects, spa…

cs.CV2022★ 6 cited

Multi-View Hypercomplex Learning for Breast Cancer Screening

Eleonora Lopez, Eleonora Grassucci, Danilo Comminiello

Radiologists interpret mammography exams by jointly analyzing all four views, as correlations among them are crucial for accurate diagnosis. Recent methods employ dedicated fusion…

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