Archana Venkataraman

发表

Joint Generative Model for fMRI/DWI and Its Application to Population Studies

Carl-Fredrik Westin, Polina Golland, Yogesh Rathi, 2010, MICCAI.

A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity

Archana Venkataraman, Haris I. Sair, Naresh Nandakumar, 2019, CNI@MICCAI.

Weakly Supervised Syllable Segmentation by Vowel-Consonant Peak Classification

Ravi Shankar, Archana Venkataraman, A. Venkataraman, 2019, INTERSPEECH.

Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks

Jeff Craley, Emily Johnson, Archana Venkataraman, 2019, MICCAI.

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

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

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.

A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models

Jeff Craley, Archana Venkataraman, Emily Johnson, 2018, MICCAI.

A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data

Mary Beth Nebel, Nicholas F. Wymbs, Archana Venkataraman, 2018, MICCAI.

Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Islem Rekik, A. W. Chung, Minjeong Kim, 2019, CNI@MICCAI.

Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations pdf

Mary Beth Nebel, Archana Venkataraman, M. B. Nebel, 2020, NeuroImage.

A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces pdf

Mary Beth Nebel, Nicholas F. Wymbs, Archana Venkataraman, 2019, IPMI.

Integrating Convolutional Neural Networks and Probabilistic Graphical Modeling for Epileptic Seizure Detection in Multichannel EEG

Jeff Craley, Archana Venkataraman, Emily Johnson, 2019, IPMI.

A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity

Archana Venkataraman, Haris I. Sair, Naresh Nandakumar, 2020, MLCN/RNO-AI@MICCAI.

Joint Modeling of Anatomical and Functional Connectivity for Population Studies

Carl-Fredrik Westin, Polina Golland, Yogesh Rathi, 2012, IEEE Transactions on Medical Imaging.

Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization.

Archana Venkataraman, Randy L Buckner, Trey Hedden, 2010, Journal of neurophysiology.

A Spatio-Temporal Model of Seizure Propagation in Focal Epilepsy

Jeff Craley, Archana Venkataraman, Emily Johnson, 2020, IEEE Transactions on Medical Imaging.

A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective

Ravi Shankar, Archana Venkataraman, Jacob Sager, 2019, INTERSPEECH.

Computational Diffusion MRI and Brain Connectivity, MICCAI Workshops CDMRI/MMBC, Nagoya, Japan, September 22nd, 2013

Eleftheria Panagiotaki, Gemma Nedjati-Gilani, Thomas Schultz, 2014, CDMRI/MMBC@MICCAI.

Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging pdf

Nicha C. Dvornek, Pamela Ventola, James S. Duncan, 2018, ArXiv.

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge pdf

Andrew Melbourne, Neil Marlow, Juntang Zhuang, 2020, Medical Image Anal..

From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder

Polina Golland, Archana Venkataraman, Marek Kubicki, 2013, IEEE Transactions on Medical Imaging.

Signal approximation using the bilinear transform

Alan V. Oppenheim, Archana Venkataraman, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks

Ravi Shankar, Archana Venkataraman, Nicolas Charon, 2019, INTERSPEECH.

Generative models of brain connectivity for population studies

Archana Venkataraman, A. Venkataraman, 2012 .

From Brain Connectivity Models to Identifying Foci of a Neurological Disorder

Polina Golland, Archana Venkataraman, Marek Kubicki, 2012, MICCAI.

Bayesian Community Detection in the Space of Group-Level Functional Differences

James S. Duncan, Kevin A. Pelphrey, Archana Venkataraman, 2016, IEEE Transactions on Medical Imaging.

Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data pdf

Mary Beth Nebel, Nicholas F. Wymbs, Archana Venkataraman, 2019, MICCAI.

A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism pdf

Mary Beth Nebel, Archana Venkataraman, Stewart Mostofsky, 2020, MICCAI.

A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort

Mary Beth Nebel, Archana Venkataraman, Stewart Mostofsky, 2017, CNI@MICCAI.

Multi-speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network pdf

Archana Venkataraman, Ravi Shankar, Nicolas Charon, 2020, INTERSPEECH.

VESUS: A Crowd-Annotated Database to Study Emotion Production and Perception in Spoken English

Ravi Shankar, Archana Venkataraman, Jacob C. Reinhold, 2019, INTERSPEECH.

Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields

Jeff Craley, Archana Venkataraman, Haris I. Sair, 2018, CNI@MICCAI.

Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator

Archana Venkataraman, Ravi Shankar, Jacob Sager, 2020, INTERSPEECH.

Computational Diffusion MRI and Brain Connectivity: MICCAI Workshops, Nagoya, Japan, September 22nd, 2013

Eleftheria Panagiotaki, Gemma Nedjati-Gilani, Thomas Schultz, 2014 .

Robust feature selection in resting-state fMRI connectivity based on population studies

Carl-Fredrik Westin, Polina Golland, Archana Venkataraman, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

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.

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge

Sébastien Ourselin, Andrew Melbourne, Neil Marlow, 2021, Medical Image Anal..

Predicting Acute Kidney Injury via Interpretable Ensemble Learning and Attention Weighted Convoutional-Recurrent Neural Networks

Archana Venkataraman, Niharika Shimona D'Souza, Yu-Chung Peng, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks

Archana Venkataraman, Haris I. Sair, Komal Manzoor, 2021, Medical Image Anal..

Cross-site Epileptic Seizure Detection Using Convolutional Neural Networks

Jeff Craley, Archana Venkataraman, Danielle Currey, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

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.

Prospective Learning: Back to the Future pdf

Eric Eaton, Nitish Thakor, Ralph Etienne-Cummings, 2022, ArXiv.

M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations

Mary Beth Nebel, Archana Venkataraman, M. B. Nebel, 2021, MIDL.

A Deep-Bayesian Framework for Adaptive Speech Duration Modification pdf

Archana Venkataraman, Ravi Shankar, A. Venkataraman, 2021, ArXiv.

A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients

Archana Venkataraman, Haris I. Sair, Komal Manzoor, 2021, IPMI.

A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes pdf

Mary Beth Nebel, Archana Venkataraman, M. B. Nebel, 2021, MICCAI.

Community Detection in the Space of Functional Abnormalities Reveals both Heightened and Reduced Brain Synchrony in Autism

James S. Duncan, Kevin A. Pelphrey, Archana Venkataraman, 2015 .

Exploring functional connectivity in fMRI via clustering

Polina Golland, Koene R. A. Van Dijk, Randy L. Buckner, 2009, ICASSP.