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Christopher Lee-Messer

Stanford University

10 papers hereh-index 7626 citations16 works total

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

author position
  • middle author7
  • last author2

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV3
  • eess.SP1
affiliations
  • Stanford University
ORCID 0000-0002-2938-6184

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedSelf-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis

61 citations · 121 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CV2021

Automated Detection of Patients in Hospital Video Recordings

Siddharth Sharma, Florian Dubost, Christopher Lee-Messer +1

In a clinical setting, epilepsy patients are monitored via video electroencephalogram (EEG) tests. A video EEG records what the patient experiences on videotape while an EEG device…

cs.LG2021

Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels

Florian Dubost, Erin Hong, Max Pike +5

Optimization plays a key role in the training of deep neural networks. Deciding when to stop training can have a substantial impact on the performance of the network during inferen…

eess.SP2021★ 61 cited

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis

Siyi Tang, Jared A. Dunnmon, Khaled Saab +5

Automated seizure detection and classification from electroencephalography (EEG) can greatly improve seizure diagnosis and treatment. However, several modeling challenges remain un…

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