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Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya Foster, Raimundo Rodriguez, Brendan Adkinson, Jean Ye, Huili Sun, Chris Camp, Michael Farruggia, Link Tejavibulya, Wei Dai, Rongtao Jiang, Angeliki Pollatou, Dustin Scheinost, (2023)
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available, Medical Image Analysis -
Javid Dadashkarimi, Matthew Rosenblatt, Amin Karbasi, Dustin Scheinost, (2023)
Stacking multiple optimal transport policies to map functional connectomes, IEEE Conference on Information Sciences and Systems -
Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost, (2023)
Enhancement attacks in biomedical machine learning, arXiv -
Jean Ye, Huili Sun, Siyuan Gao, Javid Dadashkarimi, Matthew Rosenblatt, Raimundo X Rodriguez, Saloni Mehta, Rongtao Jiang, Stephanie Noble, Margaret L Westwater, Dustin Scheinost, (2023)
Altered brain dynamics across bipolar disorder and schizophrenia revealed by overlapping brain states, Biological Psychiatry -
Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya Foster, Raimundo Rodriguez, Brendan Adkinson, Jean Ye, Huili Sun, Chris Camp, Michael Farruggia, Link Tejavibulya, Wei Dai, Rongtao Jiang, Angeliki Pollatou, and Dustin Scheinost, (2022)
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for any atlas when raw data is not available, arxiv -
Qinghao Liang, Javid Dadashkarimi, Wei Dai, Amin Karbasi, Joseph Chang, Harrison H. Zhou, and Dustin Scheinost, (2022)
Transforming connectomes to any parcellation via graph matching, Graphs in Biomedical Image AnaLysis -
Javid Dadashkarimi, Amin Karbasi, and Dustin Scheinost, (2022)
Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport, MICCAI -
Link Tejavibulya, Max Rolison, Siyuan Gao, Qinghao Liang, Hannah Peterson, Javid Dadashkarimi, Michael C. Farruggia, C. Alice Hahn, Stephanie Noble, Sarah D. Lichenstein, Angeliki Pollatou, Alexander J. Dufford and Dustin Scheinost , (2022)
Predicting the future of neuroimaging predictive models in mental health, Nature Molecular Psychiatry -
Javid Dadashkarimi, Amin Karbasi, and Dustin Scheinost, (2021)
Data-driven mapping between functional connectomes using optimal transport, MICCAI -
Daniel S Barron, Siyuan Gao, Javid Dadashkarimi, Abigail S Greene, Marisa N Spann, Stephanie Noble, Evelyn M R Lake, John H Krystal, R Todd Constable, Dustin Scheinost, (2021)
Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders, Cerebral Cortex -
Corey Horien, Stephanie Noble, Abigail S Greene, Kangjoo Lee, Daniel S Barron, Siyuan Gao, David O’Connor, Mehraveh Salehi, Javid Dadashkarimi, Xilin Shen, Evelyn MR Lake, R Todd Constable, Dustin Scheinost, (2021)
A hitchhiker’s guide to working with large, open-source neuroimaging datasets, Nature Human Behavior -
Dustin Scheinost, Javid Dadashkarimi, Emily S. Finn, Caroline G. Wambach, Caroline MacGillivray, Alexandra L. Roule, Tara A. Niendam, Daniel S. Pine, Melissa A. Brotman, Ellen Leibenluft Wan-Ling Tseng,, (2021)
Functional Connectivity During Frustration: Predictive Modeling of Irritability in Youth, Nature NP -
Erin Yeagle, Javid Dadashkarimi, Vivian Duan, Abigail Greene, Daniel Barron,Siyuan Gao, Dustin Scheinost, (2020)
Predicting BMI From Whole-Brain Functional Connectivity, Biological Psychiatry -
Shayan Aliakbar Tabrizi, Azadeh Shakery, MohammadAli Tavallaei, Javid Dadashkarimi, (2020)
Method and system for information retrieval, US Patent -
Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost, (2019)
A mass multivariate edge-wise approach for combining multiple connectomes to improve the detection of group differences | Best Poster in Connectomics in NeuroImage, MICCAI -
Javid Dadashkarimi, Sekhar Tatikonda, (2018)
Sequence to Logic with Copy and Cache, arxiv -
Javid Dadashkarimi, Alexander Fabbri, Sekhar Tatikonda, Dragomir R Radev, (2018)
Zero-shot transfer learning for semantic parsing, arxiv -
Javid Dadashkarimi, Azadeh Shakery, Heshaam Faili, Hamed Zamani, (2017)
An expectation-maximization algorithm for query translation based on pseudo-relevant documents, IP&M -
Javid Dadashkarimi, Mahsa S Shahshahani, Amirhossein Tebbifakhr, Heshaam Faili, Azadeh Shakery, (2017)
Dimension projection among languages based on pseudo-relevant documents for query translation, ECIR -
Hamed Zamani, Javid Dadashkarimi, Azadeh Shakery, W Bruce Croft, (2016)
Pseudo-relevance feedback based on matrix factorization, CIKM -
Javid Dadashkarimi, Hossein Nasr Esfahani, Heshaam Faili, Azadeh Shakery, (2016)
SS4MCT: a statistical stemmer for morphologically complex texts, CLEF -
Javid Dadashkarimi, Masoud Jalili Sabet, Azadeh Shakery, (2016)
Learning to Weight Translations using Ordinal Linear Regression and Query-generated Training Data for Ad-hoc Retrieval with Long Queries, COLING -
Razieh Rahimi, Azadeh Shakery, Javid Dadashkarimi, Mozhdeh Ariannezhad, Mostafa Dehghani, Hossein Nasr Esfahani, (2016)
Building a multi-domain comparable corpus using a learning to rank method, Natural Language Engineering