Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review. - Sayantan Kumar; Inez Y. Oh; Suzanne E. Schindler; Albert M. Lai; Philip R. O. Payne; Aditi Gupta (CoRR, 2021)

Self-explaining Neural Network with Plausible Explanations. - Sayantan Kumar; Sean C. Yu; Andrew P. Michelson; Philip R. O. Payne (CoRR, 2021)

NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders. - Sayantan Kumar; Aristeidis Sotiras (CoRR, 2021)

Self-explaining neural network with concept-based explanations for ICU mortality prediction. - Sayantan Kumar; Sean C. Yu; Thomas George Kannampallil; Zachary B. Abrams; Andrew P. Michelson; Philip R. O. Payne (BCB, 2022)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

Identifying Interpretable Clinical Subtypes withinHeterogeneous Dementia Clinic Population. - Sayantan Kumar (CoRR, 2022)

Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease. - Sayantan Kumar; Philip R. O. Payne; Aristeidis Sotiras (Computer-Aided Diagnosis, 2023)

Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders. - Sayantan Kumar; Philip R. O. Payne; Aristeidis Sotiras (ISBI, 2024)

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. - Peijie Qiu; Jin Yang; Sayantan Kumar; Soumyendu Sekhar Ghosh; Aristeidis Sotiras (CoRR, 2024)

HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression. - Sayantan Kumar; Sean C. Yu; Andrew P. Michelson; Thomas George Kannampallil; Philip R. O. Payne (CoRR, 2024)

Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers. - Sayantan Kumar; Thomas Earnest; Braden Yang; Deydeep Kothapalli; Tammie L. S. Benzinger; Brian A. Gordon; Philip R. O. Payne; Aristeidis Sotiras (CoRR, 2024)

Multimodal Variational Autoencoder: A Barycentric View. - Peijie Qiu; Wenhui Zhu; Sayantan Kumar; Xiwen Chen; Jin Yang; Xiaotong Sun; Abolfazl Razi; Yalin Wang 001; Aristeidis Sotiras (AAAI, 2025)

Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families. - Shahriar Noroozizadeh; Sayantan Kumar; Jeremy C. Weiss (CoRR, 2025)

PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus. - Shahriar Noroozizadeh; Sayantan Kumar; George H. Chen; Jeremy C. Weiss (CoRR, 2025)