Sayantan Kumar

According to our database1, Sayantan Kumar authored at least 8 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders.
CoRR, 2023

Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
Identifying Interpretable Clinical Subtypes withinHeterogeneous Dementia Clinic Population.
CoRR, 2022


Self-explaining neural network with concept-based explanations for ICU mortality prediction.
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.
CoRR, 2021

Self-explaining Neural Network with Plausible Explanations.
CoRR, 2021

Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review.
CoRR, 2021


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