| A hitchhiker’s guide to working with large, open-source neuroimaging datasets C Horien, S Noble, AS Greene, K Lee, DS Barron, S Gao, D O’Connor, ... Nature human behaviour 5 (2), 185-193, 2021 | 69 | 2021 |
| Pseudo-relevance feedback based on matrix factorization H Zamani, J Dadashkarimi, A Shakery, WB Croft Proceedings of the 25th ACM international on conference on information and …, 2016 | 68 | 2016 |
| Transdiagnostic, connectome-based prediction of memory constructs across psychiatric disorders DS Barron, S Gao, J Dadashkarimi, AS Greene, MN Spann, S Noble, ... Cerebral Cortex 31 (5), 2523-2533, 2021 | 53 | 2021 |
| Predicting the future of neuroimaging predictive models in mental health L Tejavibulya, M Rolison, S Gao, Q Liang, H Peterson, J Dadashkarimi, ... Molecular psychiatry 27 (8), 3129-3137, 2022 | 45 | 2022 |
| Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth D Scheinost, J Dadashkarimi, ES Finn, CG Wambach, C MacGillivray, ... Neuropsychopharmacology 46 (7), 1300-1306, 2021 | 44 | 2021 |
| An expectation-maximization algorithm for query translation based on pseudo-relevant documents J Dadashkarimi, A Shakery, H Faili, H Zamani Information Processing & Management 53 (2), 371-387, 2017 | 13 | 2017 |
| Altered brain dynamics across bipolar disorder and schizophrenia during rest and task switching revealed by overlapping brain states J Ye, H Sun, S Gao, J Dadashkarimi, M Rosenblatt, RX Rodriguez, ... Biological psychiatry 94 (7), 580-590, 2023 | 12 | 2023 |
| Connectome-based prediction of craving in gambling disorder and cocaine use disorder S Antons, SW Yip, CM Lacadie, J Dadashkarimi, D Scheinost, M Brand, ... Dialogues in Clinical Neuroscience 25 (1), 33-42, 2023 | 11 | 2023 |
| Machine learning and prediction in fetal, infant, and toddler neuroimaging: a review and primer D Scheinost, A Pollatou, AJ Dufford, R Jiang, MC Farruggia, M Rosenblatt, ... Biological psychiatry 93 (10), 893-904, 2023 | 11 | 2023 |
| A probabilistic translation method for dictionary-based cross-lingual information retrieval in agglutinative languages J Dadashkarimi, A Shakery, H Faili arXiv preprint arXiv:1411.1006, 2014 | 10 | 2014 |
| Building a multi-domain comparable corpus using a learning to rank method R Rahimi, A Shakery, J Dadashkarimi, M Ariannezhad, M Dehghani, ... Natural Language Engineering 22 (4), 627-653, 2016 | 9 | 2016 |
| The exact class of graph functions generated by graph neural networks M Fereydounian, H Hassani, J Dadashkarimi, A Karbasi arXiv preprint arXiv:2202.08833, 2022 | 8 | 2022 |
| A mass multivariate edge-wise approach for combining multiple connectomes to improve the detection of group differences J Dadashkarimi, S Gao, E Yeagle, S Noble, D Scheinost Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held …, 2019 | 8 | 2019 |
| Dimension projection among languages based on pseudo-relevant documents for query translation J Dadashkarimi, MS Shahshahani, A Tebbifakhr, H Faili, A Shakery Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 7 | 2017 |
| Data-driven mapping between functional connectomes using optimal transport J Dadashkarimi, A Karbasi, D Scheinost Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 6 | 2021 |
| Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available J Dadashkarimi, A Karbasi, Q Liang, M Rosenblatt, S Noble, M Foster, ... Medical image analysis 88, 102864, 2023 | 5 | 2023 |
| Predicting transdiagnostic social impairments in childhood using connectome-based predictive modeling AJ Dufford, V Kimble, L Tejavibulya, J Dadashkarimi, K Ibrahim, ... medRxiv, 2022.04. 07.22273518, 2022 | 5 | 2022 |
| Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport J Dadashkarimi, A Karbasi, D Scheinost International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| SS4MCT: A Statistical Stemmer for Morphologically Complex Texts J Dadashkarimi, HN Esfahani, H Faili, A Shakery arXiv preprint arXiv:1605.07852, 2016 | 4 | 2016 |
| Transforming Connectomes to “Any” Parcellation via Graph Matching Q Liang, J Dadashkarimi, W Dai, A Karbasi, J Chang, HH Zhou, ... MICCAI Workshop on Imaging Systems for GI Endoscopy, 118-127, 2022 | 3 | 2022 |
Dustin ScheinostYale UniversityAdresse e-mail validée de yale.edu
