Raghav Tandon

Raghav Tandon

Georgia Institute of Technology

H-index: 4

North America-United States

About Raghav Tandon

Raghav Tandon, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of machine learning, human genetics, computational pathology, computational neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

What Threshold of Amyloid Reduction Is Necessary to Meaningfully Improve Cognitive Function in Transgenic Alzheimer’s Disease Mice?

sEBM: scaling event based models to predict disease progression via implicit biomarker selection and clustering

Predictors of Cognitive Decline in Healthy Middle-Aged Individuals with Asymptomatic Alzheimer’s Disease

EmbedGEM: A framework to evaluate the utility of embeddings for genetic discovery

Machine learning selection of most predictive brain proteins suggests role of sugar metabolism in Alzheimer’s disease

A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution

Machine Learning to Stratify Asymptomatic Alzheimer’s Disease Progression Risk with Cerebrospinal Fluid Biomarkers

A large-scale neural network training framework for generalized estimation of single-trial population dynamics

Raghav Tandon Information

University

Position

PhD Student

Citations(all)

74

Citations(since 2020)

74

Cited By

1

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Raghav Tandon Skills & Research Interests

machine learning

human genetics

computational pathology

computational neuroscience

Top articles of Raghav Tandon

What Threshold of Amyloid Reduction Is Necessary to Meaningfully Improve Cognitive Function in Transgenic Alzheimer’s Disease Mice?

Journal of Alzheimer's Disease Reports

2024/1/1

Raghav Tandon
Raghav Tandon

H-Index: 1

sEBM: scaling event based models to predict disease progression via implicit biomarker selection and clustering

2023/6/8

Raghav Tandon
Raghav Tandon

H-Index: 1

Anna Kirkpatrick
Anna Kirkpatrick

H-Index: 2

Predictors of Cognitive Decline in Healthy Middle-Aged Individuals with Asymptomatic Alzheimer’s Disease

Research Square

2023/2/28

EmbedGEM: A framework to evaluate the utility of embeddings for genetic discovery

bioRxiv

2023

Machine learning selection of most predictive brain proteins suggests role of sugar metabolism in Alzheimer’s disease

Journal of Alzheimer's Disease

2023/1/1

Raghav Tandon
Raghav Tandon

H-Index: 1

A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution

2022/11/24

Machine Learning to Stratify Asymptomatic Alzheimer’s Disease Progression Risk with Cerebrospinal Fluid Biomarkers

Alzheimer's & Dementia

2022/12

Raghav Tandon
Raghav Tandon

H-Index: 1

Liping Zhao
Liping Zhao

H-Index: 11

A large-scale neural network training framework for generalized estimation of single-trial population dynamics

Nature Methods

2022/12

Canalization of the polygenic risk for common diseases and traits in the UK Biobank cohort

Molecular Biology and Evolution

2022/4/1

AI‐based selection of superior proteomic biomarkers for classifying Alzheimer’s disease

Alzheimer's & Dementia

2021/12

Raghav Tandon
Raghav Tandon

H-Index: 1

See List of Professors in Raghav Tandon University(Georgia Institute of Technology)

Co-Authors

academic-engine