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ORCIDSayantan Kumar
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2020 – today
- 2024
[c4]Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras:
Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders. ISBI 2024: 1-5- [i8]Peijie Qiu
, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras:
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. CoRR abs/2404.00122 (2024) - [i7]Sayantan Kumar, Sean C. Yu, Andrew P. Michelson, Thomas George Kannampallil, Philip R. O. Payne:
HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression. CoRR abs/2404.03208 (2024) - [i6]Sayantan Kumar, Thomas Earnest, Braden Yang, Deydeep Kothapalli, Tammie L. S. Benzinger, Brian A. Gordon, Philip R. O. Payne, Aristeidis Sotiras:
Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers. CoRR abs/2404.05748 (2024) - 2023
- [c3]Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras:
Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease. Computer-Aided Diagnosis 2023 - [i5]Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras:
Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders. CoRR abs/2312.00992 (2023) - 2022
- [c2]Sayantan Kumar, Sean C. Yu, Thomas George Kannampallil, Zachary B. Abrams, Andrew P. Michelson, Philip R. O. Payne:
Self-explaining neural network with concept-based explanations for ICU mortality prediction. BCB 2022: 8:1-8:9 - [c1]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:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - [i4]Sayantan Kumar:
Identifying Interpretable Clinical Subtypes withinHeterogeneous Dementia Clinic Population. CoRR abs/2202.00009 (2022) - 2021
- [i3]Sayantan Kumar, Inez Y. Oh, Suzanne E. Schindler, Albert M. Lai, Philip R. O. Payne, Aditi Gupta:
Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review. CoRR abs/2108.04174 (2021) - [i2]Sayantan Kumar, Sean C. Yu, Andrew P. Michelson, Philip R. O. Payne:
Self-explaining Neural Network with Plausible Explanations. CoRR abs/2110.04598 (2021) - [i1]Sayantan Kumar, Aristeidis Sotiras:
NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders. CoRR abs/2110.04903 (2021)
Coauthor Index
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