| Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review S Kumar, I Oh, S Schindler, AM Lai, PRO Payne, A Gupta JAMIA open 4 (3), ooab052, 2021 | 87 | 2021 |
| Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease S Kumar, PRO Payne, A Sotiras Medical Imaging 2023: Computer-Aided Diagnosis 12465, 1246503, 2023 | 24* | 2023 |
| AgileFormer: spatially agile transformer UNet for medical image segmentation P Qiu, J Yang, S Kumar, SS Ghosh, A Sotiras arXiv preprint arXiv:2404.00122, 2024 | 12 | 2024 |
| Self-explaining neural network with concept-based explanations for ICU mortality prediction S Kumar, SC Yu, T Kannampallil, Z Abrams, A Michelson, PRO Payne Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 11* | 2022 |
| Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders S Kumar, P Payne, A Sotiras 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 6 | 2024 |
| Loss of estrogen unleashing neuro-inflammation increases the risk of Alzheimer’s disease in women F Li, I Oh, S Kumar, A Eteleeb, A Gupta, W Buchser, C Xiong, SF Cole, ... bioRxiv, 2022.09. 19.508592, 2022 | 5 | 2022 |
| Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles S Kumar, IY Oh, SE Schindler, N Ghoshal, Z Abrams, PRO Payne PloS one 19 (11), e0313425, 2024 | 3* | 2024 |
| HiMAL: Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting Alzheimer’s disease progression S Kumar, SC Yu, A Michelson, T Kannampallil, PRO Payne JAMIA open 7 (3), ooae087, 2024 | 3 | 2024 |
| Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers S Kumar, T Earnest, B Yang, D Kothapalli, AJ Aschenbrenner, ... ArXiv, arXiv: 2404.05748 v2, 2024 | 3 | 2024 |
| mmNormVAE: Normative Modeling on Multimodal Neuroimaging Data using Variational Autoencoders S Kumar, P Payne, A Sotiras Deep Generative Models for Health Workshop NeurIPS 2023, 2023 | 3 | 2023 |
| Machine learning for health (ml4h) 2022 A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ... Machine Learning for Health, 1-11, 2022 | 3 | 2022 |
| Harmonization of amyloid PET radiotracers using ComBat and its influence on detecting treatment effects in a simulated clinical trial B Yang, T Earnest, S Kumar, BA Gordon, A Sotiras Alzheimer's & Dementia 20, e093043, 2024 | 1 | 2024 |
| Evaluation of ComBat Harmonization for Reducing Across‐Tracer Differences in Regional Amyloid PET Analyses B Yang, T Earnest, S Kumar, D Kothapalli, T Benzinger, B Gordon, ... Human Brain Mapping 45 (16), e70068, 2024 | 1 | 2024 |
| Explaining Longitudinal Clinical Outcomes using Domain-Knowledge driven Intermediate Concepts S Kumar, T Kannampallil, A Sotiras, P Payne XAI in Action: Past, Present, and Future Applications, 2023 | 1 | 2023 |
| Developing Approaches to Incorporate Donor Lung CT Images into Machine Learning Models to Predict Severe Primary Graft Dysfunction after Lung Transplantation W Ma, I Oh, Y Luo, S Kumar, A Gupta, AM Lai, V Puri, D Kreisel, ... American Journal of Transplantation, 2025 | | 2025 |
| Multimodal Variational Autoencoder: a Barycentric View P Qiu, W Zhu, S Kumar, X Chen, X Sun, J Yang, A Razi, Y Wang, A Sotiras arXiv preprint arXiv:2412.20487, 2024 | | 2024 |
| Alzheimer's Imaging Consortium B Yang, T Earnest, S Kumar, BA Gordon, A Sotiras Alzheimer's & dementia: the journal of the Alzheimer's Association 20, e094115, 2024 | | 2024 |
| External Validation of a Publicly Available Surgical Transfusion Risk Prediction Model: A Multi-Centered Perioperative Outcomes Group Study S Lou, S Kumar, M Avidan, S Kheterpal, T Kannampallil ANESTHESIA AND ANALGESIA 139 (5), 573-574, 2024 | | 2024 |
| Multimodal Representation Learning Frameworks for Modeling Progression and Heterogeneity in Alzheimer’s Disease S Kumar Washington University in St. Louis, 2024 | | 2024 |
| Multimodal normative modeling in Alzheimer Disease with introspective variational autoencoders S Kumar, P Qiu, B Yang, A Bani, P Payne, A Sotiras bioRxiv, 2024.12. 12.628273, 2024 | | 2024 |
Philip R.O. Payne, PhD, FACMI, FAMI...Becker Professor & Director - WashU I2DB, Chief Health AI Officer - WashU Medicine & BJC HealthcareE-mailová adresa ověřena na: wustl.edu
