Sayan Ghosal

14 papers A* 1B 2C 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
BEATRICE: Bayesian fine-mapping from summary data using deep variational inference.
Bioinform.
Sayan Ghosal, Michael C. Schatz, Archana Venkataraman
2023 — conf
GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity.
EMBC
Sarah Wu, Archana Venkataraman, Sayan Ghosal
2022 A* conf
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease.
ICLR
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Daniel R. Weinberger, Archana Venkataraman
2021 J jnl
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space.
NeuroImage
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
2021 J jnl
G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification.
CoRR
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
2021 B conf
G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification.
Image Processing
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
2019 B conf
A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia.
Image Processing
Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
2019 — conf
Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework.
MICCAI (4)
Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
2018 J jnl
Fidelity Measurement on Signal Detection Algorithms With Application to AFM Imaging.
IEEE Access
Sayan Ghosal, Murti V. Salapaka
2017 — conf
A novel non-rigid registration algorithm for zebrafish larval images.
EMBC
Sayan Ghosal, Soumava Banerjee, Natascia Tiso, Enrico Grisan, Ananda S. Chowdhury
2017 J jnl
Deep deformable registration: Enhancing accuracy by fully convolutional neural net.
Pattern Recognit. Lett.
Sayan Ghosal, Nilanjan Ray
2016 J jnl
Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net.
CoRR
Sayan Ghosal, Nilanjan Ray
2016 J jnl
Model detection with application to probe based data storage.
Autom.
Sayan Ghosal, Govind Saraswat, Murti V. Salapaka
2013 C conf
Topography detection using innovations mismatch method for high speed and high density dynamic mode AFM.
ACC
Sayan Ghosal, Govind Saraswat, Aditya Ramamoorthy, Murti V. Salapaka