Sayantan Kumar

According to our database, Sayantan Kumar authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus.

Shahriar Noroozizadeh, Sayantan Kumar, George H. Chen, Jeremy C. Weiss

CoRR, May, 2025

Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families.

Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss

CoRR, April, 2025

Multimodal Variational Autoencoder: A Barycentric View.

Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation.

Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras

CoRR, 2024

Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders.

Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease.

Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Identifying Interpretable Clinical Subtypes withinHeterogeneous Dementia Clinic Population.

Sayantan Kumar

CoRR, 2022

Machine Learning for Health (ML4H) 2022.

Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi

Proceedings of the Machine Learning for Health, 2022

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

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders.

Sayantan Kumar, Aristeidis Sotiras

CoRR, 2021

Self-explaining Neural Network with Plausible Explanations.

Sayantan Kumar, Sean C. Yu, Andrew P. Michelson, Philip R. O. Payne

CoRR, 2021

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