| Machine learning models identify multimodal measurements highly predictive of transdiagnostic symptom severity for mood, anhedonia, and anxiety MS Mellem, Y Liu, H Gonzalez, M Kollada, WJ Martin, P Ahammad Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (1), 56-67, 2020 | 37 | 2020 |
| System and method for identifying transdiagnostic features shared across mental health disorders LIU Yuelu, MS Mellem, P Ahammad, HAG CABEZAS, M Kollada US Patent 11,244,762, 2022 | 10 | 2022 |
| Predicting mood disorder symptoms with remotely collected videos using an interpretable multimodal dynamic attention fusion network T Banerjee, M Kollada, P Gersberg, O Rodriguez, J Tiller, AE Jaffe, ... arXiv preprint arXiv:2109.03029, 2021 | 7 | 2021 |
| Systems and methods for processing mri data M Kollada, HAG CABEZAS, LIU Yuelu, MS Mellem, P Ahammad, Q Gao US Patent App. 17/594,234, 2022 | 4 | 2022 |
| Highly predictive transdiagnostic features shared across schizophrenia, bipolar disorder, and adhd identified using a machine learning based approach Y Liu, MS Mellem, H Gonzalez, M Kollada, AR Mahableshwarkar, ... bioRxiv, 453951, 2018 | 4 | 2018 |
| A generalizable method for automated quality control of functional neuroimaging datasets M Kollada, Q Gao, MS Mellem, T Banerjee, WJ Martin Explainable AI in Healthcare and Medicine: Building a Culture of …, 2021 | 3 | 2021 |
| Estimating uncertainty in predictions generated by machine learning models T Banerjee, ME Kollada, A Torfi, P Crocker US Patent 11,887,724, 2024 | 2 | 2024 |
| Multimodal dynamic attention fusion M Kollada, T Banerjee US Patent 12,087,446, 2024 | 1 | 2024 |
| System and method for identifying transdiagnostic features shared across mental health disorders LIU Yuelu, MS Mellem, P Ahammad, HAG CABEZAS, M Kollada US Patent 11,942,224, 2024 | 1 | 2024 |
| Machine learning systems for processing multi-modal patient data T Banerjee, ME Kollada US Patent 11,670,417, 2023 | 1 | 2023 |
| Multimodal biomarkers predictive of transdiagnostic symptom severity MS Mellem, LIU Yuelu, P Ahammad, HAG CABEZAS, M Kollada US Patent App. 17/651,626, 2022 | 1 | 2022 |
| Multi-modal input processing M Kollada, T Banerjee US Patent App. 18/557,873, 2024 | | 2024 |
| Machine learning systems for anchoring dimensions of latent spaces T Banerjee, ME Kollada US Patent App. 18/542,321, 2024 | | 2024 |
| Conditioning multi-modal patient data T Banerjee, ME Kollada US Patent App. 18/370,818, 2024 | | 2024 |
| Machine learning systems for training encoder and decoder neural networks T Banerjee, ME Kollada US Patent 11,798,681, 2023 | | 2023 |
| Machine learning systems for generating multi-modal data archetypes T Banerjee, ME Kollada US Patent 11,742,076, 2023 | | 2023 |
| Machine learning systems for processing multi-modal patient data T Banerjee, ME Kollada US Patent App. 18/136,832, 2023 | | 2023 |
| Multimodal biomarkers predictive of transdiagnostic symptom severity MS Mellem, LIU Yuelu, P Ahammad, HAG CABEZAS, M Kollada US Patent 11,289,187, 2022 | | 2022 |
