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Sayantan Kumar
Sayantan Kumar
PhD, Department of Computer Science and Engineering, Washington University in St. Louis
Verified email at wustl.edu - Homepage
Title
Cited by
Cited by
Year
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
882021
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
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
12*2022
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
112024
Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders
S Kumar, P Payne, A Sotiras
IEEE International Symposium in Biomedical Imaging (IEEE ISBI 2024), 2024
72024
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
52022
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
32024
Analysing heterogeneity in Alzheimer’s Disease using multimodal normative modelling on ATN biomarkers
S Kumar, T Earnest, B Yang, D Kothapalli, TLS Benzinger, BA Gordon, ...
bioRxiv, 2024
32024
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
32023
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
32022
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
22024
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
12024
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
12023
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
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
On the Choice of Appropriate Combination of Classi er and Decomposition Scheme for Multiclass Imbalanced Data Classi cation: A Comparative Analysis
S Kumar
Indian Statistical Institute, Kolkata, 2019
2019
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Articles 1–19