Topography detection using innovations mismatch method for high speed and high density dynamic mode AFM. - Sayan Ghosal; Govind Saraswat; Aditya Ramamoorthy; Murti V. Salapaka (ACC, 2013)

Model detection with application to probe based data storage. - Sayan Ghosal; Govind Saraswat; Murti V. Salapaka (Autom., 2016)

A novel non-rigid registration algorithm for zebrafish larval images. - Sayan Ghosal; Soumava Banerjee; Natascia Tiso; Enrico Grisan; Ananda S. Chowdhury (EMBC, 2017)

Deep deformable registration: Enhancing accuracy by fully convolutional neural net. - Sayan Ghosal; Nilanjan Ray (Pattern Recognit. Lett., 2017)

Fidelity Measurement on Signal Detection Algorithms With Application to AFM Imaging. - Sayan Ghosal; Murti V. Salapaka (IEEE Access, 2018)

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 (MICCAI (4), 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 (Image Processing, 2019)

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; et al. (Image Processing, 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; et al. (NeuroImage, 2021)

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 (ICLR, 2022)

GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity. - Sarah Wu; Archana Venkataraman; Sayan Ghosal (EMBC, 2023)