Archana Venkataraman
Orcid: 0000-0003-2653-5591
According to our database1,
Archana Venkataraman
authored at least 68 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference.
Medical Image Anal., 2024
BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG.
CoRR, 2024
QID<sup>2</sup>: An Image-Conditioned Diffusion Model for Q-space Up-sampling of DWI Data.
CoRR, 2024
A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia.
CoRR, 2024
Re-ENACT: Reinforcement Learning for Emotional Speech Generation using Actor-Critic Strategy.
CoRR, 2024
Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024
A Deep Learning Framework To Characterize Noisy Labels In Epileptogenic Zone Localization Using Functional Connectivity.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity.
IEEE Trans. Biomed. Eng., 2023
A Diffeomorphic Flow-Based Variational Framework for Multi-Speaker Emotion Conversion.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Adaptive Duration Modification of Speech using Masked Convolutional Networks and Open-Loop Time Warping.
Proceedings of the 12th ISCA Speech Synthesis Workshop, 2023
DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds.
Proceedings of the Information Processing in Medical Imaging, 2023
Fusion Approaches to Predict Post-stroke Aphasia Severity from Multimodal Neuroimaging Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
A Comparative Study of Data Augmentation Techniques for Deep Learning Based Emotion Recognition.
CoRR, 2022
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space.
NeuroImage, 2021
Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations.
NeuroImage, 2021
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.
Medical Image Anal., 2021
Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks.
Medical Image Anal., 2021
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes.
CoRR, 2021
Automated inter-patient seizure detection using multichannel Convolutional and Recurrent Neural Networks.
Biomed. Signal Process. Control., 2021
G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients.
Proceedings of the Information Processing in Medical Imaging, 2021
Predicting Acute Kidney Injury via Interpretable Ensemble Learning and Attention Weighted Convoutional-Recurrent Neural Networks.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
2020
IEEE Trans. Medical Imaging, 2020
A joint network optimization framework to predict clinical severity from resting state functional MRI data.
NeuroImage, 2020
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
CoRR, 2020
A Multi-task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Non-Parallel Emotion Conversion Using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces.
Proceedings of the Information Processing in Medical Imaging, 2019
Integrating Convolutional Neural Networks and Probabilistic Graphical Modeling for Epileptic Seizure Detection in Multichannel EEG.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
VESUS: A Crowd-Annotated Database to Study Emotion Production and Perception in Spoken English.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
2018
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging.
CoRR, 2018
Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
2016
IEEE Trans. Medical Imaging, 2016
2013
From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder.
IEEE Trans. Medical Imaging, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
IEEE Trans. Medical Imaging, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Robust feature selection in resting-state fMRI connectivity based on population studies.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008