| Associations between grip strength, brain structure, and mental health in> 40,000 participants from the UK Biobank R Jiang, ML Westwater, S Noble, M Rosenblatt, W Dai, S Qi, J Sui, ... BMC medicine 20 (1), 286, 2022 | 39 | 2022 |
| Associations of physical frailty with health outcomes and brain structure in 483 033 middle-aged and older adults: a population-based study from the UK Biobank R Jiang, S Noble, J Sui, K Yoo, M Rosenblatt, C Horien, S Qi, Q Liang, ... The Lancet Digital Health 5 (6), e350-e359, 2023 | 13 | 2023 |
| Elevated C-reactive protein mediates the liver-brain axis: a preliminary study R Jiang, J Wu, M Rosenblatt, W Dai, RX Rodriguez, J Sui, S Qi, Q Liang, ... EBioMedicine 93, 2023 | 10 | 2023 |
| Connectome-based machine learning models are vulnerable to subtle data manipulations M Rosenblatt, RX Rodriguez, ML Westwater, W Dai, C Horien, AS Greene, ... Patterns 4 (7), 2023 | 9 | 2023 |
| 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 | 6* | 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 | 5 | 2023 |
| Data poisoning attack and defenses in Connectome-Based predictive models M Rosenblatt, D Scheinost Workshop on the Ethical and Philosophical Issues in Medical Imaging, 3-13, 2022 | 4 | 2022 |
| Thinking of me or thinking of you? Behavioral correlates of self vs. Other centered worry and reappraisal in late-life A Mizuno, HT Karim, J Newmark, F Khan, MJ Rosenblatt, AM Neppach, ... Frontiers in Psychiatry 13, 780745, 2022 | 4 | 2022 |
| Gradient-based enhancement attacks in biomedical machine learning M Rosenblatt, J Dadashkarimi, D Scheinost Workshop on Clinical Image-Based Procedures, 301-312, 2023 | 2 | 2023 |
| 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 | 2* | 2023 |
| Power and reproducibility in the external validation of brain-phenotype predictions M Rosenblatt, L Tejavibulya, CC Camp, R Jiang, ML Westwater, S Noble, ... bioRxiv, 2023 | 1 | 2023 |
| Trends in self-citation rates in Neuroscience literature M Rosenblatt, S Mehta, H Peterson, J Dadashkarimi, RX Rodriguez, ... bioRxiv, 2022.09. 27.509533, 2022 | 1 | 2022 |
| Data leakage inflates prediction performance in connectome-based machine learning models M Rosenblatt, L Tejavibulya, R Jiang, S Noble, D Scheinost Nature Communications 15 (1), 1829, 2024 | | 2024 |
| Rescuing missing data in connectome-based predictive modeling Q Liang, R Jiang, BD Adkinson, M Rosenblatt, S Mehta, ML Foster, ... Imaging Neuroscience 2, 1-16, 2024 | | 2024 |
| Brain-phenotype predictions can survive across diverse real-world data BD Adkinson, M Rosenblatt, J Dadashkarimi, L Tejavibulya, R Jiang, ... bioRxiv, 2024.01. 23.576916, 2024 | | 2024 |
| 6. 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, R Rodriguez, S Mehta, ... Biological Psychiatry 93 (9), S71, 2023 | | 2023 |
| Stacking multiple optimal transport policies to map functional connectomes J Dadashkarimi, M Rosenblatt, A Karbasi, D Scheinost 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023 | | 2023 |
Dustin ScheinostYale UniversityVerified email at yale.edu
