A review of PET attenuation correction methods for PET-MR
Despite being thirteen years since the installation of the first PET-MR system, the scanners
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …
Improving Pancreatic Cyst Management: Artificial Intelligence-Powered Prediction of Advanced Neoplasms through Endoscopic Ultrasound-Guided Confocal …
Despite the increasing rate of detection of incidental pancreatic cystic lesions (PCLs),
current standard-of-care methods for their diagnosis and risk stratification remain …
current standard-of-care methods for their diagnosis and risk stratification remain …
Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study
This study aimed to investigate the diagnostic performance of machine learning-based
radiomics analysis to diagnose coronary artery disease status and risk from rest/stress …
radiomics analysis to diagnose coronary artery disease status and risk from rest/stress …
[HTML][HTML] Multi-institutional PET/CT image segmentation using federated deep transformer learning
Abstract Background and Objective Generalizable and trustworthy deep learning models for
PET/CT image segmentation necessitates large diverse multi-institutional datasets …
PET/CT image segmentation necessitates large diverse multi-institutional datasets …
Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement
Purpose Image artefacts continue to pose challenges in clinical molecular imaging, resulting
in misdiagnoses, additional radiation doses to patients and financial costs. Mismatch and …
in misdiagnoses, additional radiation doses to patients and financial costs. Mismatch and …
PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation
Objective: The primary objective of our study is to address the challenge of confidentially
sharing medical images across different centers. This is often a critical necessity in both …
sharing medical images across different centers. This is often a critical necessity in both …
Information fusion for fully automated segmentation of head and neck tumors from PET and CT images
Background PET/CT images combining anatomic and metabolic data provide
complementary information that can improve clinical task performance. PET image …
complementary information that can improve clinical task performance. PET image …
Federated machine learning for predicting acute kidney injury in critically ill patients: a multicenter study in Taiwan
CT Huang, TJ Wang, LK Kuo, MJ Tsai, CT Cia… - … Information Science and …, 2023 - Springer
Purpose To address the contentious data sharing across hospitals, this study adopted a
novel approach, federated learning (FL), to establish an aggregate model for acute kidney …
novel approach, federated learning (FL), to establish an aggregate model for acute kidney …
The quest for multifunctional and dedicated PET instrumentation with irregular geometries
We focus on reviewing state-of-the-art developments of dedicated PET scanners with
irregular geometries and the potential of different aspects of multifunctional PET imaging …
irregular geometries and the potential of different aspects of multifunctional PET imaging …
[HTML][HTML] Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human …
Purpose Whole-body bone scintigraphy (WBS) is one of the most widely used modalities in
diagnosing malignant bone diseases during the early stages. However, the procedure is …
diagnosing malignant bone diseases during the early stages. However, the procedure is …