Sayan Ghosal

发表

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

Karen F. Berman, Archana Venkataraman, Daniel R. Weinberger, 2021, Medical Imaging.

A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Neuroimaging Markers of Disease

D. Weinberger, A. Venkataraman, A. Goldman, 2021, bioRxiv.

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

Qiang Chen, Archana Venkataraman, Daniel R. Weinberger, 2019, Medical Imaging: Image Processing.

Toward quantitative estimation of material properties with dynamic mode atomic force microscopy: a comparative study

Sayan Ghosal, M. Salapaka, A. Gannepalli, 2017, Nanotechnology.

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

D. Weinberger, A. Venkataraman, A. Goldman, 2022, ICLR.

A BIOLOGICALLY INTERPRETABLE GRAPH CONVOLU-

A. Venkataraman, A. Goldman, Sayan Ghosal, 2022 .

A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Neuroimaging Markers of Disease

D. Weinberger, A. Venkataraman, A. Goldman, 2021, bioRxiv.

Distinct mechanical properties in homologous spectrin-like repeats of utrophin

J. Ervasti, Sayan Ghosal, M. Salapaka, 2019, Scientific Reports.

Fidelity Measurement on Signal Detection Algorithms With Application to AFM Imaging

Murti Salapaka, Sayan Ghosal, Sayan Ghosal, 2018, IEEE Access.

Deep deformable registration: Enhancing accuracy by fully convolutional neural net

Nilanjan Ray, Sayan Ghosal, Sayan Ghosal, 2016, Pattern Recognit. Lett..

BEATRICE: Bayesian Fine-mapping from Summary Data using Deep Variational Inference

M. Schatz, A. Venkataraman, Sayan Ghosal, 2023, bioRxiv.

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

D. Weinberger, A. Venkataraman, K. Berman, 2021, NeuroImage.

A novel non-rigid registration algorithm for zebrafish larval images

Enrico Grisan, Ananda S. Chowdhury, Natascia Tiso, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Archana Venkataraman, Daniel R. Weinberger, Venkata S. Mattay, 2019, MICCAI.

Model detection with application to probe based data storage

Murti V. Salapaka, Govind Saraswat, Sayan Ghosal, 2016, Autom..

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

Karen F. Berman, Archana Venkataraman, Daniel R. Weinberger, 2021, NeuroImage.