TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion …
Inter-frame motion in dynamic cardiac positron emission tomography (PET) using rubidium-
82 (82 Rb) myocardial perfusion imaging impacts myocardial blood flow (MBF) …
82 (82 Rb) myocardial perfusion imaging impacts myocardial blood flow (MBF) …
Vision transformer promotes cancer diagnosis: A comprehensive review
X Jiang, S Wang, Y Zhang - Expert Systems with Applications, 2024 - Elsevier
Background The approaches based on vision transformers (ViTs) are advancing the field of
medical artificial intelligence (AI) and cancer diagnosis. Recently, many researchers have …
medical artificial intelligence (AI) and cancer diagnosis. Recently, many researchers have …
Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare
Abstract Magnetic Resonance Imaging (MRI) is a pivotal neuroimaging technique capable of
generating images with various contrasts, known as multi-modal images. The integration of …
generating images with various contrasts, known as multi-modal images. The integration of …
Synthetic post-contrast imaging through artificial intelligence: clinical applications of virtual and augmented contrast media
L Pasquini, A Napolitano, M Pignatelli, E Tagliente… - Pharmaceutics, 2022 - mdpi.com
Contrast media are widely diffused in biomedical imaging, due to their relevance in the
diagnosis of numerous disorders. However, the risk of adverse reactions, the concern of …
diagnosis of numerous disorders. However, the risk of adverse reactions, the concern of …
Cross-modality neuroimage synthesis: A survey
Multi-modality imaging improves disease diagnosis and reveals distinct deviations in tissues
with anatomical properties. The existence of completely aligned and paired multi-modality …
with anatomical properties. The existence of completely aligned and paired multi-modality …
FedMed-ATL: Misaligned unpaired cross-modality neuroimage synthesis via affine transform loss
The existence of completely aligned and paired multi-modal neuroimaging data has proved
its effectiveness in the diagnosis of brain diseases. However, collecting the full set of well …
its effectiveness in the diagnosis of brain diseases. However, collecting the full set of well …
Hierarchical amortized training for memory-efficient high resolution 3D GAN
Generative Adversarial Networks (GAN) have many potential medical imaging applications,
including data augmentation, domain adaptation, and model explanation. Due to the limited …
including data augmentation, domain adaptation, and model explanation. Due to the limited …
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images
Cross-modality synthesis (CMS), super-resolution (SR), and their combination (CMSR) have
been extensively studied for magnetic resonance imaging (MRI). Their primary goals are to …
been extensively studied for magnetic resonance imaging (MRI). Their primary goals are to …
Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network
Background Chest computed tomography (CT) enables characterization of pulmonary
diseases by producing high‐resolution and high‐contrast images of the intricate lung …
diseases by producing high‐resolution and high‐contrast images of the intricate lung …
Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN
D Abramian, A Eklund - arXiv preprint arXiv:1907.08533, 2019 - arxiv.org
Registration between an fMRI volume and a T1-weighted volume is challenging, since fMRI
volumes contain geometric distortions. Here we present preliminary results showing that 3D …
volumes contain geometric distortions. Here we present preliminary results showing that 3D …