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We stand with Ukraine

Lili He

Affiliations:

Cincinnati Children's Hospital Medical Center, Imaging Research Center, OH, USA
Massachusetts General Hospital, Department of Radiology, MA, USA (former)

According to our database¹, Lili He authored at least 16 papers between 2005 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training.

[BibT_eX]

[DOI]

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CoRR, 2024

2023

A novel collaborative self-supervised learning method for radiomic data.

[BibT_eX]

[DOI]

,

,

Anca L. Ralescu

,

Jonathan R. Dillman

,

Nehal A. Parikh

,

NeuroImage, August, 2023

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.

[BibT_eX]

[DOI]

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Jonathan R. Dillman

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Nehal A. Parikh

,

Medical Image Anal., 2023

Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment.

[BibT_eX]

[DOI]

,

,

Anca L. Ralescu

,

Jonathan R. Dillman

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,

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Nehal A. Parikh

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CoRR, 2023

A Novel Collaborative Self-Supervised Learning Method for Radiomic Data.

[BibT_eX]

[DOI]

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,

Anca L. Ralescu

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Jonathan R. Dillman

,

Nehal A. Parikh

,

CoRR, 2023

2022

A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants.

[BibT_eX]

[DOI]

,

,

Adebayo Braimah

,

Jonathan R. Dillman

,

Nehal A. Parikh

,

NeuroImage, 2022

Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology.

[BibT_eX]

[DOI]

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,

Venkata Sita Priyanka Illapani

,

,

Beth Kline-Fath

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,

,

,

Nehal A. Parikh

NeuroImage, 2022

A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy.

[BibT_eX]

[DOI]

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Frontiers Neuroinformatics, 2022

A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants.

[BibT_eX]

[DOI]

,

,

Adebayo Braimah

,

Jonathan R. Dillman

,

Nehal A. Parikh

,

CoRR, 2022

2019

Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data.

[BibT_eX]

[DOI]

Milan N. Parikh

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Frontiers Comput. Neurosci., 2019

2013

Automated detection of white matter signal abnormality using T2 relaxometry: Application to brain segmentation on term MRI in very preterm infants.

[BibT_eX]

[DOI]

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Nehal A. Parikh

NeuroImage, 2013

2010

A Spatio-Temporal Deconvolution Method to Improve Perfusion CT Quantification.

[BibT_eX]

[DOI]

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,

,

William Clement Karl

,

Avinish Kambadakone

,

Dushyant Sahani

,

IEEE Trans. Medical Imaging, 2010

2009

A Nonlocal Maximum Likelihood Estimation Method for Rician Noise Reduction in MR Images.

[BibT_eX]

[DOI]

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Ian R. Greenshields

IEEE Trans. Medical Imaging, 2009

Spatio-Temporal Deconvolution of Perfusion CT Data in Rectal Tumor Patients.

[BibT_eX]

[DOI]

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,

,

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Avinish Kambadakone

,

Dushyant Sahani

,

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

An MRF spatial fuzzy clustering method for fMRI SPMs.

[BibT_eX]

[DOI]

,

Ian R. Greenshields

Biomed. Signal Process. Control., 2008

2005

Empirical Determination of Lower Bounds on RP Embedding.

[BibT_eX]

[DOI]

,

Ian R. Greenshields

Proceedings of the AI Technologies for Homeland Security, 2005

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