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Towards a Mathematical Theory of Super-resolution

Communications on pure and applied mathematics, 2014-06, Vol.67 (6), p.906-956

2014

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Cramér–Rao bound‐informed training of neural networks for quantitative MRI

Magnetic resonance in medicine, 2022-07, Vol.88 (1), p.436-448

2022

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Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model

Magnetic resonance in medicine, 2024-04, Vol.91 (4), p.1478-1497

2024

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Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees

Communications on pure and applied mathematics, 2019-06, Vol.72 (6), p.1152-1230

2019

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Generative Data‐Driven Approaches for Stochastic Subgrid Parameterizations in an Idealized Ocean Model

Journal of advances in modeling earth systems, 2023-10, Vol.15 (10), p.n/a

2023

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Benchmarking of Machine Learning Ocean Subgrid Parameterizations in an Idealized Model

Journal of advances in modeling earth systems, 2023-01, Vol.15 (1), p.n/a

2023

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Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization Into a Numerical Ocean Circulation Model

Journal of advances in modeling earth systems, 2023-10, Vol.15 (10), p.n/a

2023

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Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs

Scientific reports, 2022-10, Vol.12 (1), p.17106-17106, Article 17106

2022

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Author Correction: Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs

Scientific reports, 2023-10, Vol.13 (1), p.16528-16528, Article 16528

2023

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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

NPJ digital medicine, 2021-05, Vol.4 (1), p.80-80, Article 80

2021

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Quantifying impairment and disease severity using AI models trained on healthy subjects

NPJ digital medicine, 2024-07, Vol.7 (1), p.180-11, Article 180

2024

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Data-Driven Quantitation of Movement Abnormality after Stroke

Bioengineering (Basel), 2023-05, Vol.10 (6), p.648

2023

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PrimSeq: A deep learning-based pipeline to quantitate rehabilitation training

PLOS digital health, 2022-01, Vol.1 (6), p.e0000044

2022

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ANALYSIS OF TRANSFER LEARNING FOR SELECT RETINAL DISEASE CLASSIFICATION

Retina (Philadelphia, Pa.), 2022-01, Vol.42 (1), p.174

2022

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Dictionary learning for integrative, multimodal and scalable single-cell analysis

Nature biotechnology, 2024-02, Vol.42 (2), p.293-304

2024

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Super-Resolution from Noisy Data

The Journal of fourier analysis and applications, 2013-12, Vol.19 (6), p.1229-1254

2013

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Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.2596-2606

2022

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Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems

IEEE transactions on information theory, 2020-09, Vol.66 (9), p.5904-5926

2020

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IEEE_Xplore

Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks

SIAM journal on control and optimization, 2022-04, Vol.60 (2), p.S274-S293

2022

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Super-resolution via Transform-Invariant Group-Sparse Regularization

2013 IEEE International Conference on Computer Vision, 2013, p.3336-3343

2013

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IEEE_Xplore

A Learning-based Framework for Line-spectra Super-resolution

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.3632-3636

2019

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IEEE_Xplore

A Sampling Theorem for Deconvolution in Two Dimensions

SIAM journal on imaging sciences, 2020-01, Vol.13 (4), p.1754-1780

2020

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In situ Study of Surface Oxygen Exchange and Transport on Ceria at Different Temperatures

Microscopy and microanalysis, 2023-07, Vol.29 (Supplement_1), p.1294-1295

2023

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Multicompartment magnetic resonance fingerprinting

Inverse problems, 2018-09, Vol.34 (9), p.94005

2018

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Dictionary learning for integrative, multimodal, and massively scalable single-cell analysis

Nature biotechnology, 2023-05, Vol.42 (2), p.293-304

2023

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Towards a Mathematical Theory of Super-resolution

Cramér–Rao bound‐informed training of neural networks for quantitative MRI

Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model

Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees

Generative Data‐Driven Approaches for Stochastic Subgrid Parameterizations in an Idealized Ocean Model

Benchmarking of Machine Learning Ocean Subgrid Parameterizations in an Idealized Model

Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization Into a Numerical Ocean Circulation Model

Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs

Author Correction: Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Quantifying impairment and disease severity using AI models trained on healthy subjects

Data-Driven Quantitation of Movement Abnormality after Stroke

PrimSeq: A deep learning-based pipeline to quantitate rehabilitation training

ANALYSIS OF TRANSFER LEARNING FOR SELECT RETINAL DISEASE CLASSIFICATION

Dictionary learning for integrative, multimodal and scalable single-cell analysis

Super-Resolution from Noisy Data

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems

Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks

Super-resolution via Transform-Invariant Group-Sparse Regularization

A Learning-based Framework for Line-spectra Super-resolution

A Sampling Theorem for Deconvolution in Two Dimensions

In situ Study of Surface Oxygen Exchange and Transport on Ceria at Different Temperatures

Multicompartment magnetic resonance fingerprinting

Dictionary learning for integrative, multimodal, and massively scalable single-cell analysis

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