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One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis
MRI can provide non-invasive anatomical assessment with rich diagnostic information accumulated over multiple tissue contr...
Learning continuous shape priors from sparse data with neural implicit functions
Learning continuous shape priors from sparse data with neural implicit functions
KeywordsShape modelingShape reconstructionOsteoarthritis classificationContinuous shape representationsRepresentation lear...
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation
Automatic segmentation of medical images is a fundamental and critical component in the development of effective computer-...
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization
Deep neural networks (DNN) are among the cutting-edge learning models for medical image analysis (Cai et al., 2020). While...
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation
Domain continual medical image segmentation holds significant importance in clinical scenarios, despite the challenge of c...
DOVE: Doodled vessel enhancement for photoacoustic angiography super resolution
DOVE: Doodled vessel enhancement for photoacoustic angiography super resolution
Photoacoustic angiography (PAA) is an unlabeled vascular imaging method that reveals the organ tissue structure with high ...
LESS: Label-efficient multi-scale learning for cytological whole slide image screening
LESS: Label-efficient multi-scale learning for cytological whole slide image screening
Cytology testing is effective, non-invasive, convenient, and inexpensive for clinical cancer screening. It falls under the...
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI
The structure of the human brain plays a fundamental role in determining various cognitive phenotypes as well as neurodege...
Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data
Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data
Nasopharyngeal carcinoma (NPC) is a head and neck cancer with geographical predominance in Asia and Africa (Sung et al., 2...
OCTA-500: A retinal dataset for optical coherence tomography angiography study
OCTA-500: A retinal dataset for optical coherence tomography angiography study
Optical coherence tomography (OCT) is one of the most significant advances in retinal imaging, as it noninvasively capture...
Blurred streamlines: A novel representation to reduce redundancy in tractography
Blurred streamlines: A novel representation to reduce redundancy in tractography
Tractography is a powerful tool to study brain connectivity in vivo, but it is well known to suffer from an intrinsic trad...
Immune subtyping of melanoma whole slide images using multiple instance learning
Immune subtyping of melanoma whole slide images using multiple instance learning
Immunotherapy has revolutionised the treatment of melanoma patients (Robert et al., 2015, Ugurel et al., 2016, Wolchok et ...
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data
Prostate disorder, e.g., cancer, benign hyperplasia and prostatitis, becomes a common problem in male. Especially, prostat...
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement
The significance of retinal vasculature for assessing ophthalmic disease has been well studied, such as venous beading as ...
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy
In this systematic review, we survey works that generate realistic synthetic 3D volumetric data with Generative Adversaria...
A universal biventricular coordinate system incorporating valve annuli: Validation in congenital heart disease
A universal biventricular coordinate system incorporating valve annuli: Validation in congenital heart disease
Three-dimensional cardiac imaging datasets and models are increasingly being used for precision medicine, patient-specific...
Correspondence attention for facial appearance simulation
Correspondence attention for facial appearance simulation
Orthognathic surgery is performed to correct skeletal jaw deformities to enhance facial appearance and jaw functionality. ...
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI
The cerebral cortex is a thin and tightly folded sheet of neural tissue that is closely related to brain functionality (Fj...
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
Many clinical and research studies of the human brain require accurate structural MRI segmentation. While traditional atla...
A transferable in-silico augmented ischemic model for virtual myocardial perfusion imaging and myocardial infarction detection
A transferable in-silico augmented ischemic model for virtual myocardial perfusion imaging and myocardial infarction detection
Background. Of the 56.9 million deaths reported worldwide in 2016, 10 million were caused by ischemic heart disease, which...
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative
Volume 93, April 2024, 103089Author links open overlay panel, , , , , Highlights•An anomaly-aware approach was used to imp...
Diffusion models for out-of-distribution detection in digital pathology
Diffusion models for out-of-distribution detection in digital pathology
The ability to detect anomalies, i.e. anything not seen during training or out-of-distribution (OOD), in medical imaging a...
What matters in reinforcement learning for tractography
What matters in reinforcement learning for tractography
Tractography allows the user to reconstruct virtual connections from diffusion magnetic resonance (dMR) images in the form...
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning
The incidence of basal cell carcinoma (BCC) is putting pathology diagnostics under pressure. It has the highest incidence ...
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data
Recently, hospitals have created clinical data warehouses (CDWs) that gather medical images from thousands to millions of ...