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Correlation functions on the Half-BPS Wilson loop: perturbation and hexagonalization

The journal of high energy physics, 2019-02, Vol.2019 (2), p.1-38, Article 90

2019

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Structure constants of defect changing operators on the 1/2 BPS Wilson loop

The journal of high energy physics, 2017-12, Vol.2017 (12), p.1-39, Article 55

2017

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Structure constants of operators on the Wilson loop from integrability

The journal of high energy physics, 2017-11, Vol.2017 (11), p.1-37, Article 116

2017

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Clinical Impact of Deep Learning Reconstruction in MRI

Radiographics, 2023-06, Vol.43 (6), p.e220133-e220133

2023

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Effect of vitamin D receptor activators on cardiovascular events in patients on hemodialysis—A post hoc analysis of the LANDMARK study

Therapeutic apheresis and dialysis, 2023-06, Vol.27 (3), p.523-529

2023

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Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach

Magnetic resonance imaging, 2022-07, Vol.90, p.76-83

2022

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Target Serum Phosphate and Calcium Levels in Patients With CKD Undergoing Hemodialysis Receiving Prescriptions for Phosphate Binders: A Post Hoc Analysis of the LANDMARK Study: TH-PO155

Journal of the American Society of Nephrology, 2022-11, Vol.33 (11S), p.92-93

2022

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Value of apparent diffusion coefficient on MRI for prediction of histopathological type in anal fistula cancer

Medicine (Baltimore), 2023-04, Vol.102 (14), p.e33281-e33281

2023

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Zonisamide ameliorates neuropathic pain partly by suppressing microglial activation in the spinal cord in a mouse model

Life sciences (1973), 2020-12, Vol.263, p.118577-118577, Article 118577

2020

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Commercially Available Deep-learning-reconstruction of MR Imaging of the Knee at 1.5T Has Higher Image Quality Than Conventionally-reconstructed Imaging at 3T: A Normal Volunteer Study

Magnetic Resonance in Medical Sciences, 2023, Vol.22(3), pp.353-360

2023

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Target phosphate and calcium levels in patients undergoing hemodialysis: a post-hoc analysis of the LANDMARK study

Clinical and experimental nephrology, 2023-02, Vol.27 (2), p.179-187

2023

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Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique

European journal of radiology, 2021-11, Vol.144, p.109994-109994, Article 109994

2021

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Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study

BMC medical imaging, 2023-01, Vol.23 (1), p.5-5, Article 5

2023

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Comparison of 1.5 T and 3 T magnetic resonance angiography for detecting cerebral aneurysms using deep learning-based computer-assisted detection software

Neuroradiology, 2023-10, Vol.65 (10), p.1473-1482

2023

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Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer

Magnetic resonance imaging, 2022-10, Vol.92, p.169-179

2022

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Super-resolution Deep Learning Reconstruction for 3D Brain MR Imaging: Improvement of Cranial Nerve Depiction and Interobserver Agreement in Evaluations of Neurovascular Conflict

Academic radiology, 2024-06

2024

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Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography

Japanese journal of radiology, 2022-05, Vol.40 (5), p.476-483

2022

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Target Blood Pressure for Treatment of Isolated Systolic Hypertension in the Elderly: Valsartan in Elderly Isolated Systolic Hypertension Study

Hypertension (Dallas, Tex. 1979), 2010-08, Vol.56 (2), p.196-202

2010

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MR imaging of the biliary tract with Gd-EOB-DTPA: Effect of liver function on signal intensity

European journal of radiology, 2011-02, Vol.77 (2), p.325-329

2011

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Synthesis of 1-(4-Aminobutyl)-2-iminoimidazolidin-4-one Aimed at Preparation of a Creatinine-Specific Antibody

Chemical and Pharmaceutical Bulletin, 2014/04/01, Vol.62(4), pp.350-353

2014

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Commercially Available Deep-learning-reconstruction of MR Imaging of the Knee at 1.5T Has Higher Image Quality Than Conventionally-reconstructed Imaging at 3T: A Normal Volunteer Study

Magnetic Resonance in Medical Sciences, 2022, pp.mp.2022-0020

2022

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Meandering main pancreatic duct as a relevant factor to the onset of idiopathic recurrent acute pancreatitis

PloS one, 2012-05, Vol.7 (5), p.e37652-e37652

2012

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Iterative Motion Correction Technique with Deep Learning Reconstruction for Brain MRI: A Volunteer and Patient Study

Journal of Imaging Informatics in Medicine, 2024-06

2024

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Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction

Journal of Imaging Informatics in Medicine, 2024-04

2024

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In-Situ X-Ray Analyses of Structural Change During Drawing and Shrinking of Linear Low-Density Polyethylene Film

Journal of robotics and mechatronics, 2022-04, Vol.34 (2), p.310-315

2022

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Correlation functions on the Half-BPS Wilson loop: perturbation and hexagonalization

Structure constants of defect changing operators on the 1/2 BPS Wilson loop

Structure constants of operators on the Wilson loop from integrability

Clinical Impact of Deep Learning Reconstruction in MRI

Effect of vitamin D receptor activators on cardiovascular events in patients on hemodialysis—A post hoc analysis of the LANDMARK study

Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach

Target Serum Phosphate and Calcium Levels in Patients With CKD Undergoing Hemodialysis Receiving Prescriptions for Phosphate Binders: A Post Hoc Analysis of the LANDMARK Study: TH-PO155

Value of apparent diffusion coefficient on MRI for prediction of histopathological type in anal fistula cancer

Zonisamide ameliorates neuropathic pain partly by suppressing microglial activation in the spinal cord in a mouse model

Commercially Available Deep-learning-reconstruction of MR Imaging of the Knee at 1.5T Has Higher Image Quality Than Conventionally-reconstructed Imaging at 3T: A Normal Volunteer Study

Target phosphate and calcium levels in patients undergoing hemodialysis: a post-hoc analysis of the LANDMARK study

Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique

Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study

Comparison of 1.5 T and 3 T magnetic resonance angiography for detecting cerebral aneurysms using deep learning-based computer-assisted detection software

Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer

Super-resolution Deep Learning Reconstruction for 3D Brain MR Imaging: Improvement of Cranial Nerve Depiction and Interobserver Agreement in Evaluations of Neurovascular Conflict

Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography

Target Blood Pressure for Treatment of Isolated Systolic Hypertension in the Elderly: Valsartan in Elderly Isolated Systolic Hypertension Study

MR imaging of the biliary tract with Gd-EOB-DTPA: Effect of liver function on signal intensity

Synthesis of 1-(4-Aminobutyl)-2-iminoimidazolidin-4-one Aimed at Preparation of a Creatinine-Specific Antibody

Commercially Available Deep-learning-reconstruction of MR Imaging of the Knee at 1.5T Has Higher Image Quality Than Conventionally-reconstructed Imaging at 3T: A Normal Volunteer Study

Meandering main pancreatic duct as a relevant factor to the onset of idiopathic recurrent acute pancreatitis

Iterative Motion Correction Technique with Deep Learning Reconstruction for Brain MRI: A Volunteer and Patient Study

Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction

In-Situ X-Ray Analyses of Structural Change During Drawing and Shrinking of Linear Low-Density Polyethylene Film

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