| Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning B Caba, A Cafaro, A Lombard, DL Arnold, C Elliott, D Liu, X Jiang, ... NeuroImage 265, 119787, 2023 | 9 | 2023 |
| Glial fibrillary acidic protein and multiple sclerosis progression independent of acute inflammation X Jiang, C Shen, CE Teunissen, M Wessels, H Zetterberg, G Giovannoni, ... Multiple Sclerosis Journal 29 (9), 1070-1079, 2023 | 6 | 2023 |
| Machine Learning-Based Classification of Acute versus Chronic Multiple Sclerosis Lesions using Radiomic Features from Unenhanced Cross-Sectional Brain MRI (4121) B Caba, D Liu, A Lombard, N Novikov, A Cafaro, D Bradley, E Battistella, ... Neurology 96 (15 Supplement), 2021 | 2 | 2021 |
| Methods for classification of lesions and for predicting lesion development C Bastien, D Liu, A Lombard, A Cafaro, E Fisher, AR Gafson, N Paragios, ... US Patent App. 18/483,571, 2024 | | 2024 |
| Predicting multiple sclerosis slowly expanding lesions using cross-sectional radiomics and machine learning R Gabr, B Caba, C Elliott, P Jiang, W Huijbers, I Tagge, DL Arnold, ... MULTIPLE SCLEROSIS JOURNAL 29, 501-501, 2023 | | 2023 |
| Assessing the utility of magnetic resonance imaging-based “SuStaIn” disease subtyping for precision medicine in relapsing-remitting and secondary progressive multiple sclerosis X Jiang, C Shen, B Caba, DL Arnold, C Elliott, B Zhu, E Fisher, ... Multiple Sclerosis and Related Disorders 77, 104869, 2023 | | 2023 |
| Radiomics-based Unsupervised Clustering of Acute Multiple Sclerosis Lesions (P10-3.015) B Caba, A Gafson, D Ioannidou, X Jiang, E Fisher, D Arnold, C Elliott, ... Neurology 100 (17 Supplement 2), 2023 | | 2023 |
| Deep Learning Reconstruction of Lesion-Free Representations of the Brain in Multiple Sclerosis Patients (P11-3.006) Q Spinat, B Caba, D Ioannidou, A Gafson, O Teboul, X Jiang, V Lepetit, ... Neurology 100 (17 Supplement 2), 2023 | | 2023 |
| The use of machine learning methods in neurodegenerative disease research: A scoping review A Ciampi, J Rouette, F Pellegrini, G Simoneau, B Caba, A Gafson, ... medRxiv, 2023.07. 31.23293414, 2023 | | 2023 |
| Machine learning parcellation of multiple sclerosis lesions into texturally consistent super-voxels for lesion classification Q Spinat, B Caba, A Gafson, D Ioannidou, X Jiang, A Cafaro, DP Bradley, ... MULTIPLE SCLEROSIS JOURNAL 28 (3_ SUPPL), 814-815, 2022 | | 2022 |
| Unsupervised clustering of acute multiple sclerosis lesions across spatial, geometric and textural domains B Caba, A Gafson, D Ioannidou, X Jiang, A Cafaro, DP Bradley, R Perea, ... MULTIPLE SCLEROSIS JOURNAL 28 (3_ SUPPL), 797-798, 2022 | | 2022 |
| Glial fibrillary acidic protein and multiple sclerosis progression independent of acute inflammation X Jiang, AR Gafson, C Shen, CM Singh, B Caba, E Fisher, C de Moor, ... MULTIPLE SCLEROSIS JOURNAL 28 (3_ SUPPL), 821-821, 2022 | | 2022 |
| A novel deep learning algorithm for multi-modal multiple sclerosis lesion segmentation CS Garcia, B Caba, A Gafson, D Ioannidou, X Jiang, A Cafaro, ... MULTIPLE SCLEROSIS JOURNAL 28 (3_ SUPPL), 283-283, 2022 | | 2022 |
| Machine Learning-Based Prediction of New Multiple Sclerosis Lesion Formation Using Radiomic Features from Pre-Lesion Normal Appearing White Matter (S26. 009) B Caba, A Gafson, A Lombard, D Liu, A Cafaro, E Battistella, R Perea, ... Neurology 98 (18 Supplement), 2022 | | 2022 |
| Machine Learning-Based Detection of Slowly Expanding Lesions using Radiomic Features from Cross-sectional Brain MRI (S26. 004) B Caba, A Gafson, A Lombard, D Liu, A Cafaro, E Battistella, R Perea, ... Neurology 98 (18 Supplement), 2022 | | 2022 |
| Machine learning-based detection of slowly expanding lesions using radiomic features from cross-sectional brain MRI B Caba, A Gafson, A Lombard, D Liu, A Cafaro, DP Bradley, E Battistella, ... MULTIPLE SCLEROSIS JOURNAL 27 (2_ SUPPL), 419-420, 2021 | | 2021 |
Shibeshih Mitiku BelachewBiogenVerified email at biogen.com
