Author

Gabriela Schmidt Mellado

University of OxfordORCID 0000-0002-5610-4357Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Assay:electronic health records· 2 Organism:human· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Caroline HartleyiD· 2 shared Luke BaxteriD· 2 shared Maarten De VosiD· 2 shared Rebeccah SlateriD· 2 shared A DereymaekeriD· 1 shared Alan WorleyiD· 1 shared Amir H. AnsariiD· 1 shared Aomesh BhattiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Caroline HartleyORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeuroscienceClinical NeurophysiologyPeer-reviewedNov 20, 2023

Sensory event-related potential morphology predicts age in premature infants

Coen S. Zandvoort, Marianne van der Vaart, Shellie Robinson…·Caroline Hartley

This paper shows that sensory-evoked potentials can accurately predict age in premature infants, with potential for early detection of abnormal neurodevelopment.

8 citations

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintJan 24, 2023

Brain age as an estimator of neurodevelopmental outcome: A deep learning approach for neonatal cot-side monitoring

Amir H. Ansari, Kirubin Pillay, Luke Baxter…·Rebeccah Slater

This paper develops a deep learning model to estimate brain age from neonatal EEG signals, achieving high accuracy with short recordings and showing correlation with neurodevelopmental outcomes.

6 citations

humanelectronic health records

𝕏 PostBluesky