Michael J. Ramshaw

PsychologyNeuroscienceMedicineHealth Professions

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI”.

Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI

medRxiv(2023)10.1101/2023.08.21.23294377

N/A

0DataRank · unranked

3 citations

Michael J. Ramshaw, Nina de Lacy

Identifying selective predictors of ADHD, Oppositional Defiant and Conduct Disorder onset in early adolescence with optimized deep learning

medRxiv(2023)10.1101/2023.08.19.23294322

N/A

0DataRank · unranked

2 citations

Michael J. Ramshaw, Nina de Lacy

Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions

medRxiv(2023)10.1101/2023.10.23.23297438

N/A

0DataRank · unranked

0 citations

Michael J. Ramshaw, Nina de Lacy

RiskPath : Explainable deep learning for multistep biomedical prediction in longitudinal data

medRxiv(2024)10.1101/2024.09.19.24313909

N/A

0DataRank · unranked

1 citations

Michael J. Ramshaw, Wai Yin Lam, Nina de Lacy

RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal data

Patterns(2025)10.1016/j.patter.2025.101240

N/A

0DataRank · unranked

2 citations

Michael J. Ramshaw, Wai Yin Lam, Nina de Lacy