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Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment

Alzheimer's & dementia, 2015-12, Vol.11 (12), p.1489-1499

2015

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RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing

IEEE journal of selected topics in signal processing, 2022-10, Vol.16 (6), p.1329-1341

2022

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GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity

2013 IEEE International Conference on Computer Vision, 2013, p.3376-3383

2013

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The Incremental Multiresolution Matrix Factorization Algorithm

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Vol.2017, p.692-701

2017

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Continual Self-Training With Bootstrapped Remixing For Speech Enhancement

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.6947-6951

2022

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Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM

NeuroImage (Orlando, Fla.), 2017-10, Vol.159 (C), p.79-98

2017

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DPLM: A Deep Perceptual Spatial-Audio Localization Metric

2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021, p.6-10

2021

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Learning to Personalize Equalization for High-Fidelity Spatial Audio Reproduction

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer

2015 IEEE International Conference on Computer Vision (ICCV), 2015-12, Vol.2015, p.1841-1849

2015

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A PREDICTIVE MULTIMODAL IMAGING MARKER FOR EFFICIENT SAMPLE ENRICHMENT IN AD CLINICAL TRIALS

Alzheimer's & dementia, 2014-07, Vol.10 (4), p.P889-P890

2014

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An NMF Perspective on Binary Hashing

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.4184-4192

2015

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STATISTICAL ALGORITHMS FOR HARMONIZING BIOMARKER DISTRIBUTIONS ACROSS DIFFERENT COHORTS, SITES AND ASSAYS: APPLICATIONS TO CSF MEASUREMENTS

Alzheimer's & dementia, 2017-07, Vol.13 (7), p.P1322-P1323

2017

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DEDUCTIVE MODE FINDING: TRACING BACK COGNITIVE DECLINE IN BIOMARKER POSITIVE MIDDLE-AGED ADULTS

Alzheimer's & dementia, 2017-07, Vol.13 (7), p.P685-P686

2017

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MACHINE LEARNING ALGORITHMS FOR EXPERIMENT DESIGN IN HIGH DIMENSIONAL LONGITUDINAL COHORT STUDIES: IMPLICATIONS FOR CLINICAL TRIALS

Alzheimer's & dementia, 2017-07, Vol.13 (7), p.P1320-P1321

2017

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[P4–163]: STATISTICAL ALGORITHMS FOR HARMONIZING BIOMARKER DISTRIBUTIONS ACROSS DIFFERENT COHORTS, SITES AND ASSAYS: APPLICATIONS TO CSF MEASUREMENTS

Alzheimer's & dementia, 2017-07, Vol.13 (7S_Part_27)

2017

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AN MRI-DERIVED DISEASE MARKER IS ASSOCIATED WITH CONVERSION TO MCI IN MIDDLE-AGED ADULTS AT RISK FOR AD

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P155-P156

2018

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IC‐P‐186: AN MRI‐DERIVED DISEASE MARKER IS ASSOCIATED WITH CONVERSION TO MCI IN MIDDLE‐AGED ADULTS AT RISK FOR AD

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_2), p.P155-P156

2018

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P1‐462: AN MRI‐DERIVED DISEASE MARKER ASSOCIATES WITH CONVERSION TO MCI IN MIDDLE‐AGED ADULTS AT RISK FOR AD

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_9), p.P497-P498

2018

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AN MRI-DERIVED DISEASE MARKER ASSOCIATES WITH CONVERSION TO MCI IN MIDDLE-AGED ADULTS AT RISK FOR AD

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P497-P498

2018

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Exploiting Structure for Designing Clinical Trials: Testing, Learning and Inference Algorithms

Ithapu, Vamsi K

2018

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P4‐287: A PREDICTIVE MULTIMODAL IMAGING MARKER FOR EFFICIENT SAMPLE ENRICHMENT IN AD CLINICAL TRIALS

Alzheimer's & dementia, 2014-07, Vol.10 (4S_Part_15), p.P889-P890

2014

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Imaging based enrichment criteria using deep learning algorithms for efficient clinical trials in MCI

Alzheimer's & dementia, 2015-06, Vol.11 (12), p.1489-1499

2015

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Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, p.1695-1704

Ithapu, Vamsi K.

2017

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Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 2), p.470-478

2014

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On the interplay of network structure and gradient convergence in deep learning

2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016, p.488-495

2016

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Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment

RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing

GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity

The Incremental Multiresolution Matrix Factorization Algorithm

Continual Self-Training With Bootstrapped Remixing For Speech Enhancement

Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM

DPLM: A Deep Perceptual Spatial-Audio Localization Metric

Learning to Personalize Equalization for High-Fidelity Spatial Audio Reproduction

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer

A PREDICTIVE MULTIMODAL IMAGING MARKER FOR EFFICIENT SAMPLE ENRICHMENT IN AD CLINICAL TRIALS

An NMF Perspective on Binary Hashing

STATISTICAL ALGORITHMS FOR HARMONIZING BIOMARKER DISTRIBUTIONS ACROSS DIFFERENT COHORTS, SITES AND ASSAYS: APPLICATIONS TO CSF MEASUREMENTS

DEDUCTIVE MODE FINDING: TRACING BACK COGNITIVE DECLINE IN BIOMARKER POSITIVE MIDDLE-AGED ADULTS

MACHINE LEARNING ALGORITHMS FOR EXPERIMENT DESIGN IN HIGH DIMENSIONAL LONGITUDINAL COHORT STUDIES: IMPLICATIONS FOR CLINICAL TRIALS

[P4–163]: STATISTICAL ALGORITHMS FOR HARMONIZING BIOMARKER DISTRIBUTIONS ACROSS DIFFERENT COHORTS, SITES AND ASSAYS: APPLICATIONS TO CSF MEASUREMENTS

AN MRI-DERIVED DISEASE MARKER IS ASSOCIATED WITH CONVERSION TO MCI IN MIDDLE-AGED ADULTS AT RISK FOR AD

IC‐P‐186: AN MRI‐DERIVED DISEASE MARKER IS ASSOCIATED WITH CONVERSION TO MCI IN MIDDLE‐AGED ADULTS AT RISK FOR AD

P1‐462: AN MRI‐DERIVED DISEASE MARKER ASSOCIATES WITH CONVERSION TO MCI IN MIDDLE‐AGED ADULTS AT RISK FOR AD

AN MRI-DERIVED DISEASE MARKER ASSOCIATES WITH CONVERSION TO MCI IN MIDDLE-AGED ADULTS AT RISK FOR AD

Exploiting Structure for Designing Clinical Trials: Testing, Learning and Inference Algorithms

P4‐287: A PREDICTIVE MULTIMODAL IMAGING MARKER FOR EFFICIENT SAMPLE ENRICHMENT IN AD CLINICAL TRIALS

Imaging based enrichment criteria using deep learning algorithms for efficient clinical trials in MCI

Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization

Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials

On the interplay of network structure and gradient convergence in deep learning

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