Archana Venkataraman

106 papers A* 1A 6B 2Misc 4Journal 36Unranked 37
YearRankTypeTitle / Venue / Authors
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part I
MICCAI (1)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part II
MICCAI (2)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III
MICCAI (3)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IV
MICCAI (4)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IX
MICCAI (9)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part V
MICCAI (5)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VI
MICCAI (6)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VII
MICCAI (7)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VIII
MICCAI (8)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part X
MICCAI (10)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XI
MICCAI (11)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XII
MICCAI (12)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XIII
MICCAI (13)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XIV
MICCAI (14)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XV
MICCAI (15)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XVI
MICCAI (16)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2025 — conf
BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis.
MICCAI (12)
Zijian Chen, Stefen Beeler-Duden, Sophie Lawson, Zachary J. Jacokes, John Darrell Van Horn, Kevin A. Pelphrey, Archana Venkataraman
2025 — conf
LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG.
MICCAI (14)
Maryam Riazi, Deeksha M. Shama, Archana Venkataraman
2025 — conf
Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder.
MICCAI (11)
Jueqi Wang, Zachary J. Jacokes, John Darrell Van Horn, Michael C. Schatz, Kevin A. Pelphrey, Archana Venkataraman
2025 J jnl
Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder.
CoRR
Jueqi Wang, Zachary J. Jacokes, John Darrell Van Horn, Michael C. Schatz, Kevin A. Pelphrey, Archana Venkataraman
2024 — conf
A Deep Learning Framework To Characterize Noisy Labels In Epileptogenic Zone Localization Using Functional Connectivity.
ISBI
Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
2024 — conf
A Lesion-Aware Edge-Based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia.
MLCN@MICCAI
Zijian Chen, Maria Varkanitsa, Prakash Ishwar, Janusz Konrad, Margrit Betke, Swathi Kiran, Archana Venkataraman
2024 J jnl
A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia.
CoRR
Zijian Chen, Maria Varkanitsa, Prakash Ishwar, Janusz Konrad, Margrit Betke, Swathi Kiran, Archana Venkataraman
2024 J jnl
BEATRICE: Bayesian fine-mapping from summary data using deep variational inference.
Bioinform.
Sayan Ghosal, Michael C. Schatz, Archana Venkataraman
2024 J jnl
BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG.
CoRR
Deeksha M. Shama, Archana Venkataraman
2024 J jnl
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference.
Medical Image Anal.
Shadi Albarqouni, Christian F. Baumgartner, Qi Dou, Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman
2024 — conf
GAMing the Brain: Investigating the Cross-Modal Relationships Between Functional Connectivity and Structural Features Using Generalized Additive Models.
MLCN@MICCAI
Arunkumar Kannan, Brian Caffo, Archana Venkataraman
2024 — conf
QID
CDMRI@MICCAI
Zijian Chen, Jueqi Wang, Archana Venkataraman
2024 J jnl
QID
CoRR
Zijian Chen, Jueqi Wang, Archana Venkataraman
2024 J jnl
Re-ENACT: Reinforcement Learning for Emotional Speech Generation using Actor-Critic Strategy.
CoRR
Ravi Shankar, Archana Venkataraman
2024 — conf
Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection.
UNSURE@MICCAI
Deeksha M. Shama, Archana Venkataraman
2023 — conf
A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network.
ISBI
Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
2023 J jnl
A Diffeomorphic Flow-Based Variational Framework for Multi-Speaker Emotion Conversion.
IEEE ACM Trans. Audio Speech Lang. Process.
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2023 — conf
Adaptive Duration Modification of Speech using Masked Convolutional Networks and Open-Loop Time Warping.
SSW
Ravi Shankar, Archana Venkataraman
2023 J jnl
DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity.
IEEE Trans. Biomed. Eng.
Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
2023 — conf
DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data.
MICCAI (8)
Deeksha M. Shama, Jiasen Jing, Archana Venkataraman
2023 — conf
Fusion Approaches to Predict Post-stroke Aphasia Severity from Multimodal Neuroimaging Data.
ICCV (Workshops)
Saurav Chennuri, Sha Lai, Anne Billot, Maria Varkanitsa, Emily J. Braun, Swathi Kiran, Archana Venkataraman, Janusz Konrad, Prakash Ishwar, Margrit Betke
2023 — conf
GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity.
EMBC
Sarah Wu, Archana Venkataraman, Sayan Ghosal
2023 — conf
Prospective Learning: Principled Extrapolation to the Future.
CoLLAs
Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam S. Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
2023 — conf
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds.
IPMI
Niharika Shimona D'Souza, Archana Venkataraman
2023 J jnl
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds.
CoRR
Niharika Shimona D'Souza, Archana Venkataraman
2022 A* conf
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease.
ICLR
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Daniel R. Weinberger, Archana Venkataraman
2022 J jnl
A Comparative Study of Data Augmentation Techniques for Deep Learning Based Emotion Recognition.
CoRR
Ravi Shankar, Abdouh Harouna Kenfack, Arjun Somayazulu, Archana Venkataraman
2022 J jnl
A Diffeomorphic Flow-based Variational Framework for Multi-speaker Emotion Conversion.
CoRR
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2022 — ed.
International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland.
MIDL
Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman, Christian F. Baumgartner, Qi Dou, Shadi Albarqouni
2022 J jnl
Prospective Learning: Back to the Future.
CoRR
Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam S. Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
2022 — conf
RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis.
MICCAI (1)
Naresh Nandakumar, Komal Manzoor, Shruti Agarwal, Haris I. Sair, Archana Venkataraman
2022 — conf
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG.
MIDL
Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman
2021 J jnl
A Deep-Bayesian Framework for Adaptive Speech Duration Modification.
CoRR
Ravi Shankar, Archana Venkataraman
2021 — conf
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes.
MICCAI (7)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2021 J jnl
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2021 — conf
A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients.
IPMI
Naresh Nandakumar, Komal Manzoor, Shruti Agarwal, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
2021 J jnl
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space.
NeuroImage
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, Archana Venkataraman
2021 J jnl
Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks.
Medical Image Anal.
Naresh Nandakumar, Komal Manzoor, Shruti Agarwal, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
2021 J jnl
Automated inter-patient seizure detection using multichannel Convolutional and Recurrent Neural Networks.
Biomed. Signal Process. Control.
Jeff Craley, Emily Johnson, Christophe Jouny, Archana Venkataraman
2021 Misc conf
Cross-site Epileptic Seizure Detection Using Convolutional Neural Networks.
CISS
Danielle Currey, David Hsu, Raheel Ahmed, Archana Venkataraman, Jeff Craley
2021 J jnl
Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations.
NeuroImage
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman
2021 J jnl
G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification.
CoRR
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, Archana Venkataraman
2021 B conf
G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification.
Image Processing
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, Archana Venkataraman
2021 — conf
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations.
MIDL
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2021 J jnl
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.
Medical Image Anal.
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
2021 Misc conf
Predicting Acute Kidney Injury via Interpretable Ensemble Learning and Attention Weighted Convoutional-Recurrent Neural Networks.
CISS
Yu-Chung Peng, Niharika Shimona D'Souza, Brian Bush, Charles Brown, Archana Venkataraman
2020 J jnl
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2020 — conf
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism.
MICCAI (7)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2020 J jnl
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2020 J jnl
A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman
2020 J jnl
A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity.
CoRR
Naresh Nandakumar, Niharika Shimona D'Souza, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
2020 — conf
A Multi-task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity.
MLCN/RNO-AI@MICCAI
Naresh Nandakumar, Niharika Shimona D'Souza, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
2020 J jnl
A Spatio-Temporal Model of Seizure Propagation in Focal Epilepsy.
IEEE Trans. Medical Imaging
Jeff Craley, Emily Johnson, Archana Venkataraman
2020 J jnl
A joint network optimization framework to predict clinical severity from resting state functional MRI data.
NeuroImage
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman
2020 J jnl
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart H. Mostofsky, Archana Venkataraman
2020 J jnl
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2020 A conf
Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network.
INTERSPEECH
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2020 J jnl
Multi-speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network.
CoRR
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2020 J jnl
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
CoRR
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
2020 A conf
Non-Parallel Emotion Conversion Using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator.
INTERSPEECH
Ravi Shankar, Jacob Sager, Archana Venkataraman
2020 J jnl
Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator.
CoRR
Ravi Shankar, Jacob Sager, Archana Venkataraman
2019 — conf
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces.
IPMI
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2019 A conf
A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective.
INTERSPEECH
Ravi Shankar, Jacob Sager, Archana Venkataraman
2019 — conf
A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity.
CNI@MICCAI
Naresh Nandakumar, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
2019 B conf
A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia.
Image Processing
Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
2019 A conf
Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks.
INTERSPEECH
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2019 — conf
Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks.
MICCAI (4)
Jeff Craley, Emily Johnson, Christophe Jouny, Archana Venkataraman
2019 — conf
Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework.
MICCAI (4)
Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
2019 — ed.
Connectomics in NeuroImaging - Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
CNI@MICCAI
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai Wern Chung
2019 — conf
Integrating Convolutional Neural Networks and Probabilistic Graphical Modeling for Epileptic Seizure Detection in Multichannel EEG.
IPMI
Jeff Craley, Emily Johnson, Archana Venkataraman
2019 — conf
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data.
MICCAI (3)
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2019 A conf
VESUS: A Crowd-Annotated Database to Study Emotion Production and Perception in Spoken English.
INTERSPEECH
Jacob Sager, Ravi Shankar, Jacob Reinhold, Archana Venkataraman
2019 A conf
Weakly Supervised Syllable Segmentation by Vowel-Consonant Peak Classification.
INTERSPEECH
Ravi Shankar, Archana Venkataraman
2018 — conf
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data.
MICCAI (3)
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2018 — conf
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models.
MICCAI (3)
Jeff Craley, Emily Johnson, Archana Venkataraman
2018 — conf
Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields.
CNI@MICCAI
Naresh Nandakumar, Niharika Shimona D'Souza, Jeff Craley, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
2018 J jnl
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging.
CoRR
Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan
2017 — conf
A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort.
CNI@MICCAI
Archana Venkataraman, Nicholas F. Wymbs, Mary Beth Nebel, Stewart Mostofsky
2016 J jnl
Bayesian Community Detection in the Space of Group-Level Functional Differences.
IEEE Trans. Medical Imaging
Archana Venkataraman, Daniel Y.-J. Yang, Kevin A. Pelphrey, James S. Duncan
2014 — ed.
Computational Diffusion MRI and Brain Connectivity, MICCAI Workshops CDMRI/MMBC, Nagoya, Japan, September 22nd, 2013
CDMRI/MMBC@MICCAI
Thomas Schultz, Gemma L. Nedjati-Gilani, Archana Venkataraman, Lauren O'Donnell, Eleftheria Panagiotaki
2013 — conf
Detecting Epileptic Regions Based on Global Brain Connectivity Patterns.
MICCAI (1)
Andrew Sweet, Archana Venkataraman, Steven M. Stufflebeam, Hesheng Liu, Naoro Tanaka, Joseph R. Madsen, Polina Golland
2013 J jnl
From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder.
IEEE Trans. Medical Imaging
Archana Venkataraman, Marek Kubicki, Polina Golland
2012 — conf
From Brain Connectivity Models to Identifying Foci of a Neurological Disorder.
MICCAI (1)
Archana Venkataraman, Marek Kubicki, Polina Golland
2012 — —
Generative models of brain connectivity for population studies.
Archana Venkataraman
2012 J jnl
Joint Modeling of Anatomical and Functional Connectivity for Population Studies.
IEEE Trans. Medical Imaging
Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
2010 — conf
Joint Generative Model for fMRI/DWI and Its Application to Population Studies.
MICCAI (1)
Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
2010 — conf
Robust feature selection in resting-state fMRI connectivity based on population studies.
CVPR Workshops
Archana Venkataraman, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
2009 Misc conf
Exploring functional connectivity in fMRI via clustering.
ICASSP
Archana Venkataraman, Koene R. A. Van Dijk, Randy L. Buckner, Polina Golland
2008 Misc conf
Signal approximation using the bilinear transform.
ICASSP
Archana Venkataraman, Alan V. Oppenheim
2008 — conf
Spatial patterns and functional profiles for discovering structure in fMRI data.
ACSCC
Polina Golland, Danial Lashkari, Archana Venkataraman