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Sayan Ghosal
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2020 – today
- 2023
- [c7]Sarah Wu, Archana Venkataraman, Sayan Ghosal:
GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity. EMBC 2023: 1-4 - 2022
- [c6]Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Daniel R. Weinberger, Archana Venkataraman:
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease. ICLR 2022 - 2021
- [j4]Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space. NeuroImage 238: 118200 (2021) - [c5]Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification. Image Processing 2021 - [i2]Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification. CoRR abs/2101.11656 (2021)
2010 – 2019
- 2019
- [c4]Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework. MICCAI (4) 2019: 647-655 - [c3]Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia. Image Processing 2019: 1094927 - 2018
- [j3]Sayan Ghosal, Murti V. Salapaka:
Fidelity Measurement on Signal Detection Algorithms With Application to AFM Imaging. IEEE Access 6: 52831-52842 (2018) - 2017
- [j2]Sayan Ghosal, Nilanjan Ray:
Deep deformable registration: Enhancing accuracy by fully convolutional neural net. Pattern Recognit. Lett. 94: 81-86 (2017) - [c2]Sayan Ghosal, Soumava Banerjee, Natascia Tiso, Enrico Grisan, Ananda S. Chowdhury:
A novel non-rigid registration algorithm for zebrafish larval images. EMBC 2017: 321-324 - 2016
- [j1]Sayan Ghosal, Govind Saraswat, Murti V. Salapaka:
Model detection with application to probe based data storage. Autom. 74: 171-182 (2016) - [i1]Sayan Ghosal, Nilanjan Ray:
Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net. CoRR abs/1611.08796 (2016) - 2013
- [c1]Sayan Ghosal, Govind Saraswat, Aditya Ramamoorthy, Murti V. Salapaka:
Topography detection using innovations mismatch method for high speed and high density dynamic mode AFM. ACC 2013: 5500-5505
Coauthor Index
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