Author

Isabella Dalla Betta

Harvard UniversityORCID 0000-0002-5715-9878Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:electronic health records· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Emery N. BrowniD· 2 shared Francisco J FloresiD· 2 shared Matthew A. WilsoniD· 2 shared David Raphael SchreieriD· 1 shared Emily P. StepheniD· 1 shared Helena MerkeriD· 1 shared John TauberiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Emery N. BrownORCID

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2 papers

Recent·Most cited

NeuroscienceJournal of Neural EngineeringPeer-reviewedAug 12, 2026

Time-frequency embedding with contrastive pre-training allows sub-second seizure detection

Helena Merker, Isabella Dalla Betta, Matthew A. Wilson…·Emery N. Brown

This paper introduces a 3D CNN with a trainable CWT layer and BiCL pre-training for sub-second seizure detection, achieving >95% accuracy on EEG data.

DOI 10.1088/1741-2552/ae98b6

electronic health recordsdeep learning

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NeuroscienceBrain stimulationPeer-reviewedAug 10, 2024

Spike-wave discharges during low-current thalamic deep brain stimulation in mice

Francisco J Flores, Isabella Dalla Betta, John Tauber…·Emery N. Brown

This study reports that CT-DBS in awake mice can induce SWDs at low currents during titration, highlighting the need for EEG monitoring.

1 citation

mouseelectronic health records

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