Javid Dadashkarimi

Javid Dadashkarimi

Yale University

H-index: 7

North America-United States

About Javid Dadashkarimi

Javid Dadashkarimi, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Yale University, specializes in the field of brain imaging, fetal MRI, functional connectivity, machine learning, deep learning.

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

Brain-phenotype predictions can survive across diverse real-world data

6. Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task-Switching Revealed by Overlapping Brain States

Stacking multiple optimal transport policies to map functional connectomes

Connectome-based prediction of craving in gambling disorder and cocaine use disorder

Gradient-based enhancement attacks in biomedical machine learning

Altered brain dynamics across bipolar disorder and schizophrenia during rest and task switching revealed by overlapping brain states

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available

Predicting the future of neuroimaging predictive models in mental health

Javid Dadashkarimi Information

University

Position

___

Citations(all)

287

Citations(since 2020)

242

Cited By

91

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Yale University

Google Scholar

View Google Scholar Profile

Javid Dadashkarimi Skills & Research Interests

brain imaging

fetal MRI

functional connectivity

machine learning

deep learning

Top articles of Javid Dadashkarimi

Title

Journal

Author(s)

Publication Date

Brain-phenotype predictions can survive across diverse real-world data

bioRxiv

Brendan D Adkinson

Matthew Rosenblatt

Javid Dadashkarimi

Link Tejavibulya

Rongtao Jiang

...

2024

6. Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task-Switching Revealed by Overlapping Brain States

Biological Psychiatry

Jean Ye

Huili Sun

Siyuan Gao

Javid Dadashkarimi

Matthew Rosenblatt

...

2023/5/1

Stacking multiple optimal transport policies to map functional connectomes

Javid Dadashkarimi

Matthew Rosenblatt

Amin Karbasi

Dustin Scheinost

2023/3/22

Connectome-based prediction of craving in gambling disorder and cocaine use disorder

Dialogues in Clinical Neuroscience

Stephanie Antons

Sarah W Yip

Cheryl M Lacadie

Javid Dadashkarimi

Dustin Scheinost

...

2023/12/31

Gradient-based enhancement attacks in biomedical machine learning

Matthew Rosenblatt

Javid Dadashkarimi

Dustin Scheinost

2023/10/8

Altered brain dynamics across bipolar disorder and schizophrenia during rest and task switching revealed by overlapping brain states

Biological Psychiatry

Jean Ye

Huili Sun

Siyuan Gao

Javid Dadashkarimi

Matthew Rosenblatt

...

2023/10/1

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available

Medical Image Analysis

Javid Dadashkarimi

Amin Karbasi

Qinghao Liang

Matthew Rosenblatt

Stephanie Noble

...

2023/8/1

Predicting the future of neuroimaging predictive models in mental health

Link Tejavibulya

Max Rolison

Siyuan Gao

Qinghao Liang

Hannah Peterson

...

2022/8

MINDS Lab SLCN Challenge

OSF Preprints. July

Xueqi Guo

Jiyao Wang

Matthew Rosenblatt

Javid Dadashkarimi

Huili Sun

...

2022/7

Predicting transdiagnostic social impairments in childhood using connectome-based predictive modeling

medRxiv

Alexander J Dufford

Violet Kimble

Link Tejavibulya

Javid Dadashkarimi

Karim Ibrahim

...

2022/4/12

Trends in self-citation rates in Neuroscience literature

bioRxiv

Matthew Rosenblatt

Saloni Mehta

Hannah Peterson

Javid Dadashkarimi

Raimundo X Rodriguez

...

2022/9/28

Transforming Connectomes to “Any” Parcellation via Graph Matching

Qinghao Liang

Javid Dadashkarimi

Wei Dai

Amin Karbasi

Joseph Chang

...

2022/9/18

Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport

Javid Dadashkarimi

Amin Karbasi

Dustin Scheinost

2022/9/15

A hitchhiker’s guide to working with large, open-source neuroimaging datasets

Corey Horien

Stephanie Noble

Abigail S Greene

Kangjoo Lee

Daniel S Barron

...

2021/2

Data-driven mapping between functional connectomes using optimal transport

Javid Dadashkarimi

Amin Karbasi

Dustin Scheinost

2021

Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth

Neuropsychopharmacology

Dustin Scheinost

Javid Dadashkarimi

Emily S Finn

Caroline G Wambach

Caroline MacGillivray

...

2021/6

Transdiagnostic, connectome-based prediction of memory constructs across psychiatric disorders

Cerebral Cortex

Daniel S Barron

Siyuan Gao

Javid Dadashkarimi

Abigail S Greene

Marisa N Spann

...

2021/5

Predicting BMI From Whole-Brain Functional Connectivity

Biological Psychiatry

Erin Yeagle

Javid Dadashkarimi

Vivian Duan

Abigail Greene

Daniel Barron

...

2020/5/1

Method and system for information retrieval

2020/1/21

See List of Professors in Javid Dadashkarimi University(Yale University)

Co-Authors

H-index: 59
Dustin Scheinost

Dustin Scheinost

Yale University

H-index: 20
Stephanie Noble

Stephanie Noble

Yale University

H-index: 5
Qinghao Liang

Qinghao Liang

Yale University

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