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Bromocriptine for the treatment of peripartum cardiomyopathy: a multicentre randomized study

European heart journal, 2017-09, Vol.38 (35), p.2671-2679

2017

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Risk factors for paravalvular leak after transcatheter aortic valve replacement

The Journal of thoracic and cardiovascular surgery, 2019-04, Vol.157 (4), p.1406-1415.e3

2019

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Complications in the clinical course of tako-tsubo cardiomyopathy

International journal of cardiology, 2014-09, Vol.176 (1), p.199-205

2014

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Gender differences in the manifestation of tako-tsubo cardiomyopathy

International journal of cardiology, 2013-07, Vol.166 (3), p.584-588

2013

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Clinical Outcome and Cost Analysis of Sutureless Versus Transcatheter Aortic Valve Implantation With Propensity Score Matching Analysis

The American journal of cardiology, 2015-12, Vol.116 (11), p.1737-1743

2015

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Aortic valve calcification as a risk factor for major complications and reduced survival after transcatheter replacement

Journal of cardiovascular computed tomography, 2020-07, Vol.14 (4), p.307-313

2020

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Confronting heterogeneity in cryogenic electron microscopy data: Innovative strategies and future perspectives with data-driven methods

Current opinion in structural biology, 2024-06, Vol.86, p.102815-102815, Article 102815

2024

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Does an instructional video as a stand-alone tool promote the acquisition of practical clinical skills? A randomised simulation research trial of skills acquisition and short-term retention

BMC medical education, 2024-07, Vol.24 (1), p.714-12, Article 714

2024

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Deep learning for photoacoustic tomography from sparse data

Applied mathematics in science and engineering, 2019-07, Vol.27 (7), p.987-1005

2019

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NETT: solving inverse problems with deep neural networks

Inverse problems, 2020-06, Vol.36 (6), p.65005

2020

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Deep null space learning for inverse problems: convergence analysis and rates

Inverse problems, 2019-02, Vol.35 (2), p.25008

2019

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Influence of rosuvastatin treatment on cerebral inflammation and nitro-oxidative stress in experimental lung injury in pigs

BMC anesthesiology, 2021-09, Vol.21 (1), p.224-224, Article 224

2021

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Multimodal Imaging for the Assessment of a Cardiac Mass - A Case of Primary Cardiac Sarcoma

Journal of radiology case reports, 2017-11, Vol.11 (11), p.11-19

2017

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Renal resistive index in addition to low-grade albuminuria complements screening for target organ damage in therapy-resistant hypertension

Journal of hypertension, 2010-03, Vol.28 (3), p.608-614

2010

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Impact of Long-Term Statin Pretreatment on Myocardial Damage in ST Elevation Myocardial Infarction (from the AIDA STEMI CMR Substudy)

The American journal of cardiology, 2014-08, Vol.114 (4), p.503-509

2014

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Deep synthesis network for regularizing inverse problems

Inverse problems, 2021-01, Vol.37 (1), p.15005

2021

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A GALERKIN LEAST SQUARES APPROACH FOR PHOTOACOUSTIC TOMOGRAPHY

SIAM journal on numerical analysis, 2018-01, Vol.56 (1), p.160-184

2018

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Pediatric Pharmacotherapy

1st Edition 2020, 2020

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Regularization of inverse problems by filtered diagonal frame decomposition

Applied and computational harmonic analysis, 2023-01, Vol.62, p.66-83

2023

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DynaMight: estimating molecular motions with improved reconstruction from cryo-EM images

Nature methods, 2024-10, Vol.21 (10), p.1855-1862

2024

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Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging

Journal of computational and applied mathematics, 2024-03, Vol.439, p.115583, Article 115583

2024

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Big in Japan: Regularizing Networks for Solving Inverse Problems

Journal of mathematical imaging and vision, 2020, Vol.62 (3), p.445-455

2020

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Data-consistent neural networks for solving nonlinear inverse problems

Inverse problems and imaging (Springfield, Mo.), 2023-02, Vol.17 (1), p.203-229

2023

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Risk factors for atrioventricular block after transcatheter aortic valve implantation: a single-centre analysis including assessment of aortic calcifications and follow-up

Europace (London, England), 2019-05, Vol.21 (5), p.787-795

2019

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Augmented NETT regularization of inverse problems

Journal of physics communications, 2021-10, Vol.5 (10), p.105002

2021

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Bromocriptine for the treatment of peripartum cardiomyopathy: a multicentre randomized study

Risk factors for paravalvular leak after transcatheter aortic valve replacement

Complications in the clinical course of tako-tsubo cardiomyopathy

Gender differences in the manifestation of tako-tsubo cardiomyopathy

Clinical Outcome and Cost Analysis of Sutureless Versus Transcatheter Aortic Valve Implantation With Propensity Score Matching Analysis

Aortic valve calcification as a risk factor for major complications and reduced survival after transcatheter replacement

Confronting heterogeneity in cryogenic electron microscopy data: Innovative strategies and future perspectives with data-driven methods

Does an instructional video as a stand-alone tool promote the acquisition of practical clinical skills? A randomised simulation research trial of skills acquisition and short-term retention

Deep learning for photoacoustic tomography from sparse data

NETT: solving inverse problems with deep neural networks

Deep null space learning for inverse problems: convergence analysis and rates

Influence of rosuvastatin treatment on cerebral inflammation and nitro-oxidative stress in experimental lung injury in pigs

Multimodal Imaging for the Assessment of a Cardiac Mass - A Case of Primary Cardiac Sarcoma

Renal resistive index in addition to low-grade albuminuria complements screening for target organ damage in therapy-resistant hypertension

Impact of Long-Term Statin Pretreatment on Myocardial Damage in ST Elevation Myocardial Infarction (from the AIDA STEMI CMR Substudy)

Deep synthesis network for regularizing inverse problems

A GALERKIN LEAST SQUARES APPROACH FOR PHOTOACOUSTIC TOMOGRAPHY

Pediatric Pharmacotherapy

Regularization of inverse problems by filtered diagonal frame decomposition

DynaMight: estimating molecular motions with improved reconstruction from cryo-EM images

Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging

Big in Japan: Regularizing Networks for Solving Inverse Problems

Data-consistent neural networks for solving nonlinear inverse problems

Risk factors for atrioventricular block after transcatheter aortic valve implantation: a single-centre analysis including assessment of aortic calcifications and follow-up

Augmented NETT regularization of inverse problems

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