Sayan Ghosal

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 12

Top Topics

Signal Detection

Structured Sparse Learning

Convolutional Network

Low Dimensional

Top Venues

Medical Imaging: Image Processing

Publications

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)
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)
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 (2021)
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 (2021)
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. Medical Imaging: Image Processing (2021)
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. Medical Imaging: Image Processing (2019)
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)
Sayan Ghosal, Murti V. Salapaka
Fidelity Measurement on Signal Detection Algorithms With Application to AFM Imaging. IEEE Access 6 (2018)
Sayan Ghosal, Nilanjan Ray
Deep deformable registration: Enhancing accuracy by fully convolutional neural net. Pattern Recognit. Lett. 94 (2017)
Sayan Ghosal, Soumava Banerjee, Natascia Tiso, Enrico Grisan, Ananda S. Chowdhury
A novel non-rigid registration algorithm for zebrafish larval images. EMBC (2017)
Sayan Ghosal, Govind Saraswat, Murti V. Salapaka
Model detection with application to probe based data storage. Autom. 74 (2016)
Sayan Ghosal, Nilanjan Ray
Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net. CoRR (2016)
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)