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Alberto Gómez

Ultromics Ltd

14 papers hereh-index 201.2k citations65 works total

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

author position
  • first author2
  • middle author6
  • last author6

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • eess.IV4
  • physics.med-ph3
  • cs.LG1
  • cs.RO1
affiliations
  • Ultromics Ltd
  • King's College London
Homepage
same name
  • Alberto Gómez — 3 papers, h 2
  • Alberto Gómez — 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
20182023
most citedFeature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

33 citations · 38 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CV2020

Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer +4

Deep neural networks exhibit limited generalizability across images with different entangled domain features and categorical features. Learning generalizable features that can form…

cs.CV2020

Screen Tracking for Clinical Translation of Live Ultrasound Image Analysis Methods

Simona Treivase, Alberto Gomez, Jacqueline Matthew +3

Ultrasound (US) imaging is one of the most commonly used non-invasive imaging techniques. However, US image acquisition requires simultaneous guidance of the transducer and interpr…

eess.IV2020

Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time

Cesare Magnetti, Veronika Zimmer, Nooshin Ghavami +6

We present a computational method for real-time, patient-specific simulation of 2D ultrasound (US) images. The method uses a large number of tracked ultrasound images to learn a fu…

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