Sayan Ghosal

Employment

• Johns Hopkins University Research Assistant
  2017 - 2023
• Broad Institute Computational Scientist

Education

• Johns Hopkins University Ph.D.
  2017 - 2023
• Johns Hopkins University M.S.
  ? - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer’s Disease Severity
  2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023 DOI: 10.1109/embc40787.2023.10341000
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• BEATRICE: Bayesian Fine-mapping from Summary Data using Deep Variational Inference
  bioRxiv 2023 DOI: 10.1101/2023.03.24.534116
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• A BIOLOGICALLY INTERPRETABLE GRAPH CONVOLUTIONAL NETWORK TO LINK GENETIC RISK PATHWAYS AND NEUROIMAGING MARKERS OF DISEASE
  ICLR 2022 - 10th International Conference on Learning Representations 2022
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• A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space
  NeuroImage 2021 DOI: 10.1016/j.neuroimage.2021.118200
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• G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification
  Medical Imaging 2021: Image Processing 2021 DOI: 10.1117/12.2581127
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• A BIOLOGICALLY INTERPRETABLE GRAPH CONVOLUTIONAL NETWORK TO LINK GENETIC RISK PATHWAYS AND NEUROIMAGING MARKERS OF DISEASE
  bioRxiv 2021 DOI: 10.1101/2021.05.28.446066
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• G-MIND: An end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification
  arXiv 2021
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• A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: Application to Schizophrenia
  Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2019 DOI: 10.1117/12.2511220
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• Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework
  Lecture Notes in Computer Science 2019 DOI: 10.1007/978-3-030-32251-9_71
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