| Enhancing the accuracy of glaucoma detection from OCT probability maps using convolutional neural networks KA Thakoor, X Li, E Tsamis, P Sajda, DC Hood 2019 41st annual international conference of the IEEE engineering in …, 2019 | 58 | 2019 |
| U-net model for brain extraction: Trained on humans for transfer to non-human primates X Wang, XH Li, JW Cho, BE Russ, N Rajamani, A Omelchenko, L Ai, ... Neuroimage 235, 118001, 2021 | 44 | 2021 |
| Moving beyond processing and analysis-related variation in neuroscience X Li, NB Esper, L Ai, S Giavasis, H Jin, E Feczko, T Xu, J Clucas, A Franco, ... BioRxiv, 2021.12. 01.470790, 2021 | 39 | 2021 |
| Toward next-generation primate neuroscience: a collaboration-based strategic plan for integrative neuroimaging M Milham, C Petkov, P Belin, SB Hamed, H Evrard, D Fair, A Fox, ... Neuron 110 (1), 16-20, 2022 | 22 | 2022 |
| Strategies to improve convolutional neural network generalizability and reference standards for glaucoma detection from OCT scans KA Thakoor, X Li, E Tsamis, ZZ Zemborain, CG De Moraes, P Sajda, ... Translational Vision Science & Technology 10 (4), 16-16, 2021 | 14 | 2021 |
| Multimodal iva fusion for detection of linked neuroimaging biomarkers R Silva, E Damaraju, X Li, P Kochonov, A Belger, J Ford, S McEwen, ... bioRxiv, 2021 | 5 | 2021 |
| A brainwide risk score for psychiatric disorder evaluated in a large adolescent population reveals increased divergence among higher-risk groups relative to control participants W Yan, GD Pearlson, Z Fu, X Li, A Iraji, J Chen, J Sui, ND Volkow, ... Biological Psychiatry 95 (7), 699-708, 2024 | 3 | 2024 |
| Align with the NMIND consortium for better neuroimaging G Kiar, J Clucas, E Feczko, M Goncalves, D Jarecka, CJ Markiewicz, ... Nature Human Behaviour 7 (7), 1027-1028, 2023 | 2 | 2023 |
| Multimodal subspace independent vector analysis better captures hidden relationships in multimodal neuroimaging data X Li, T Adali, RF Silva, VD Calhoun 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
| Pipeline-Invariant Representation Learning for Neuroimaging X Li, A Fedorov, M Mathur, A Abrol, G Kiar, S Plis, V Calhoun Machine Learning for Health (ML4H), 2022 | 1 | 2022 |
| Direct linkage detection with multimodal IVA fusion reveals markers of age, sex, cognition, and schizophrenia in large neuroimaging studies RF Silva, E Damaraju, X Li, P Kochunov, A Belger, JM Ford, DH Mathalon, ... bioRxiv, 2021.12. 13.472507, 2021 | 1 | 2021 |
| Evaluating the transferability of deep learning models that distinguish glaucomatous from non-glaucomatous OCT circumpapillary disc scans X Li, E Tsamis, K Thakoor, Z Zemborain, CG De Moraes, DC Hood Investigative Ophthalmology & Visual Science 61 (7), 4548-4548, 2020 | 1 | 2020 |
| Assessing the ability of convolutional neural networks to detect glaucoma from oct probability maps KA Thakoor, Q Zheng, L Nan, X Li, EM Tsamis, R Rajshekhar, I Dwivedi, ... Investigative Ophthalmology & Visual Science 60 (9), 1464-1464, 2019 | 1 | 2019 |
| Multimodal subspace independent vector analysis captures latent subspace structures in large multimodal neuroimaging studies X Li, T Adali, R Silva, V Calhoun bioRxiv, 2023 | | 2023 |
| Predictive Sparse Manifold Transform Y Xie, X Li, VD Calhoun Workshop on High-dimensional Learning Dynamics at the 40th International …, 2023 | | 2023 |
| Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ... https://doi.org/10.5281/zenodo.7951122, 2023 | | 2023 |
| Evaluating Trade-Offs in IVA of Multimodal Neuroimaging using Cross-Platform Multidataset Independent Subspace Analysis X Li, D Khosravinezhad, VD Calhoun, RF Silva 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 2023 |
| Learning pipeline-invariant representation for robust brain phenotype prediction X Li, A Fedorov, M Mathur, A Abrol, G Kiar, S Plis, V Calhoun Data-centric Machine Learning Research Workshop at the 40th International …, 2023 | | 2023 |
| Integration of non-invasive brain stimulation with functional imaging data in SimNIBS S Shirinpour, K Mantell, X Li, O Puonti, K Madsen, Z Haigh, EC Casillo, ... Brain Stimulation: Basic, Translational, and Clinical Research in …, 2023 | | 2023 |
| Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder X Li, E Geenjaar, Z Fu, S Plis, V Calhoun 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | | 2022 |
Ting Xu (徐婷)Research Scientist, Child Mind Institute, NYVerified email at childmind.org
