Kuangyu Shi

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Articles (29)

Collaborators (6)

YIZHOU CHEN

University of Bern

Claudio Lino Bassetti

Chi Liu

Yale University

UNITED STATES

Song Xue

Medical University of Vienna

Michael Lassmann

Julius-Maximilians-Universität Würzburg Medizinische Fakultät

Bjoern Menze

University of Zurich

Kuangyu Shi

Research Interests

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Articles (29)

3D full-dose brain-PET volume recovery from low-dose data through deep learning: quantitative assessment and clinical evaluation

A deep learning method for the recovery of standard-dose imaging quality from ultra-low-dose PET on wavelet domain

A mathematical model for the investigation of combined treatment of radiopharmaceutical therapy and PARP inhibitors

AI in Breast Cancer Imaging: An Update and Future Trends

Annual percentage change of MR Parkinsonism index in progressive supranuclear palsy: a feasibility study

Anomaly Detection in Medical Images Using Encoder-Attention-2Decoders Reconstruction

Automatic bone marrow segmentation for precise [177Lu]Lu-PSMA-617 dosimetry

Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning

Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Current Tools, Techniques, and Uncharted Territories

Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Ethical, Regulatory, and Socioeconomic Dimensions of Theranostic Digital Twins

PBPK-Adapted Deep Learning for Pre-Therapy Prediction of Voxel-Wise Dosimetry: In-Silico Proof-of-Concept

A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches

Distinct subtypes of spatial brain metabolism patterns in Alzheimer’s disease identified by deep learning-based FDG PET clusters

Integrating TSPO PET imaging and transcriptomics to unveil the role of neuroinflammation and amyloid-β deposition in Alzheimer’s disease

Surgical radioguidance with beta-emitting radionuclides; challenges and possibilities: A position paper by the EANM

<sup>68</sup>Ga-labeled WVP peptide as a novel PET probe for molecular biological diagnosis of unstable thoracic aortic aneurysm and early dissection: an animal study

A metabolism-functional connectome sparse coupling method to reveal imaging markers for Alzheimer's disease based on simultaneous PET/MRI scans

AIGAN: Attention–encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images

Ability of <sup>18</sup>F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma

Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.

Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with <sup>177</sup>Lu-PSMA I&T therapy.

A Left Ventricular Mechanical Dyssynchrony-Based Nomogram for Predicting Major Adverse Cardiac Events Risk in Patients With Ischemia and No Obstructive Coronary Artery Disease

A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET

A deep neural network for parametric image reconstruction on a large axial field-of-view PET

Abbreviated scan protocols to capture <sup>18</sup>F-FDG kinetics for long axial FOV PET scanners

Brain Neuroimaging of Rapid Eye Movement Sleep Behavior Disorder in Parkinson's Disease: A Systematic Review

Concept development of an on-chip PET system

Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning

Differential Diagnosis of Parkinsonism Based on Deep Metabolic Imaging Indices

Collaborators (6)

YIZHOU CHEN

Claudio Lino Bassetti

Chi Liu

Song Xue

Michael Lassmann

Bjoern Menze

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