Archana Venkataraman

Associate Professor, Boston University, Boston University

Joined

November 2018

Names

Archana Venkataraman (Preferred)

Emails

****@jhu.edu (Confirmed)

****@bu.edu (Confirmed)

Personal Links

Career & Education History

Associate Professor

Boston University, Boston University (bu.edu)

2023 – Present

John C. Malone Assistant Professor

Johns Hopkins University (jhu.edu)

2016 – 2022

Postdoc

Yale University (yale.edu)

2014 – 2016

Advisors, Relations & Conflicts

Postdoc Advisor

James S. Duncan

2014 – 2016

PhD Advisor

Polina Golland

2007 – 2012

Expertise

medical imaging; brain connectivity; fMRI; EEG; neuroscience; graph neural networks; imaging-genetics

2007 – Present

Publications

BEATRICE: Bayesian fine-mapping from summary data using deep variational inference
Sayan Ghosal, Archana Venkataraman, Michael Schatz
- OpenReview Archive Direct Upload
- Readers: Everyone
QID^2: An Image-Conditioned Diffusion Model for Q-space Up-sampling of DWI Data
Jueqi Wang, Zijian Chen, Archana Venkataraman
- Springer
- Readers: Everyone
Network comparisons and their applications in connectomics
Niharika Shimona D'Souza, Archana Venkataraman
- 14 Aug 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
Niharika Shimona D'Souza, Archana Venkataraman
- 14 Aug 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Adaptive Duration Modification of Speech using Masked Convolutional Networks and Open-Loop Time Warping
Ravi Shankar, Archana Venkataraman
- Published: 14 Jun 2023, Last Modified: 26 Jun 2023
- SSW12
- Readers: Everyone
Geo-NN: An End-to-End Framework for Geodesic Mean Estimation on the Manifold of Symmetric Positive Definite Matrices
Niharika Shimona D'Souza, Archana Venkataraman
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG
Jeff Craley, Emily Johnson, Christophe C Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Adaptive Speech Duration Modification using a Deep-Generative Framework
Ravi Shankar, Archana Venkataraman
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
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
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
Niharika Shimona Dsouza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
- Published: 31 Mar 2021, Last Modified: 16 May 2023
- MIDL 2021
- Readers: Everyone

View all 30 publications

Co-Authors

View all 46 co-authors