Sayan Ghosal

According to our database, Sayan Ghosal authored at least 11 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity.

Sarah Wu, Archana Venkataraman, Sayan Ghosal

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease.

Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Daniel R. Weinberger, Archana Venkataraman

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space.

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

NeuroImage, 2021

G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification.

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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2019

A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia.

Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework.

Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Fidelity Measurement on Signal Detection Algorithms With Application to AFM Imaging.

Sayan Ghosal, Murti V. Salapaka

IEEE Access, 2018

2017

Deep deformable registration: Enhancing accuracy by fully convolutional neural net.

Sayan Ghosal, Nilanjan Ray

Pattern Recognit. Lett., 2017

A novel non-rigid registration algorithm for zebrafish larval images.

Sayan Ghosal, Soumava Banerjee, Natascia Tiso, Enrico Grisan, Ananda S. Chowdhury

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Model detection with application to probe based data storage.

Sayan Ghosal, Govind Saraswat, Murti V. Salapaka

Autom., 2016

2013

Topography detection using innovations mismatch method for high speed and high density dynamic mode AFM.

Sayan Ghosal, Govind Saraswat, Aditya Ramamoorthy, Murti V. Salapaka

Proceedings of the American Control Conference, 2013