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Radiology Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 358-378 of 5,208 articles

Prediction of adverse pathology in prostate cancer using a multimodal deep learning approach based on [F]PSMA-1007 PET/CT and multiparametric MRI.

PURPOSE: Accurate prediction of adverse pathology (AP) in prostate cancer (PCa) patients is crucial ...

Feb 2025 39969539

Robust and generalizable artificial intelligence for multi-organ segmentation in ultra-low-dose total-body PET imaging: a multi-center and cross-tracer study.

PURPOSE: Positron Emission Tomography (PET) is a powerful molecular imaging tool that visualizes rad...

Feb 2025 39969540

Soft-tissue metastasis in esophageal cancer managed by dose escalation radiation therapy: a clinical case and review of literature.

Soft tissue metastasis in esophageal cancer is a very rare entity. A 76-year-old man was referred fo...

Feb 2025 40104667

Automated quantification of brain PET in PET/CT using deep learning-based CT-to-MR translation: a feasibility study.

PURPOSE: Quantitative analysis of PET images in brain PET/CT relies on MRI-derived regions of intere...

Feb 2025 39964542

Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.

AIM: To evaluate a deep learning-based time-of-flight (DLToF) model trained to enhance the image qua...

Feb 2025 39964543

IRMA: Machine learning-based harmonization of F-FDG PET brain scans in multi-center studies.

PURPOSE: Center-specific effects in PET brain scans arise due to differences in technical and proced...

Feb 2025 39964544

Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.

OBJECTIVE: Functional imaging using the dopamine transporter (DAT) as a biomarker has proven effecti...

Feb 2025 39962871

Identifying plastic materials in post-consumer food containers and packaging waste using terahertz spectroscopy and machine learning.

Accurate identification of plastic materials from post-consumer food container and packaging waste i...

Feb 2025 39970574

Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point F-FDG PET/CT.

BACKGROUND: Accurately predicting the malignant risk of ground-glass nodules (GGOs) is crucial for p...

Feb 2025 39966960

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning.

BACKGROUND: 18-Fluoro-deoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) is ...

Feb 2025 39962481

Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline.

While numerous studies strive to exploit the complementary potential of MRI and PET using learning-b...

Feb 2025 39985974

Deep learning-based organ-wise dosimetry of Cu-DOTA-rituximab through only one scanning.

This study aimed to generate a delayed Cu-dotatate (DOTA)-rituximab positron emission tomography (PE...

Feb 2025 39955298

Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain.

Arthritis is an inflammatory condition associated with joint damage, the incidence of which is incre...

Feb 2025 39970842

Reducing inference cost of Alzheimer's disease identification using an uncertainty-aware ensemble of uni-modal and multi-modal learners.

While multi-modal deep learning approaches trained using magnetic resonance imaging (MRI) and fluoro...

Feb 2025 39952976

Diffusion-driven multi-modality medical image fusion.

Multi-modality medical image fusion (MMIF) technology utilizes the complementarity of different moda...

Feb 2025 39932643

Eliminating the second CT scan of dual-tracer total-body PET/CT via deep learning-based image synthesis and registration.

PURPOSE: This study aims to develop and validate a deep learning framework designed to eliminate the...

Feb 2025 39932542

Exploring the response of bacterial community functions to microplastic features in lake ecosystems through interpretable machine learning.

Microplastics (MPs) are ubiquitous and have various characteristics. However, their impacts on bacte...

Feb 2025 39938630

Optimizing MR-based attenuation correction in hybrid PET/MR using deep learning: validation with a flatbed insert and consistent patient positioning.

PURPOSE: To address the challenges of verifying MR-based attenuation correction (MRAC) in PET/MR due...

Feb 2025 39912939

Radiology

Browse Categories

Prediction of adverse pathology in prostate cancer using a multimodal deep learning approach based on [F]PSMA-1007 PET/CT and multiparametric MRI.

Robust and generalizable artificial intelligence for multi-organ segmentation in ultra-low-dose total-body PET imaging: a multi-center and cross-tracer study.

Soft-tissue metastasis in esophageal cancer managed by dose escalation radiation therapy: a clinical case and review of literature.

Automated quantification of brain PET in PET/CT using deep learning-based CT-to-MR translation: a feasibility study.

Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.

IRMA: Machine learning-based harmonization of F-FDG PET brain scans in multi-center studies.

Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.

Identifying plastic materials in post-consumer food containers and packaging waste using terahertz spectroscopy and machine learning.

Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point F-FDG PET/CT.

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning.

Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline.

Deep learning-based organ-wise dosimetry of Cu-DOTA-rituximab through only one scanning.

Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain.

Reducing inference cost of Alzheimer's disease identification using an uncertainty-aware ensemble of uni-modal and multi-modal learners.

Diffusion-driven multi-modality medical image fusion.

Eliminating the second CT scan of dual-tracer total-body PET/CT via deep learning-based image synthesis and registration.

Exploring the response of bacterial community functions to microplastic features in lake ecosystems through interpretable machine learning.

CT-Less Whole-Body Bone Segmentation of PET Images Using a Multimodal Deep Learning Network.

Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction.

Evaluation of deep learning-based scatter correction on a long-axial field-of-view PET scanner.

Optimizing MR-based attenuation correction in hybrid PET/MR using deep learning: validation with a flatbed insert and consistent patient positioning.

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