Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Towards prediction of morphological heart age from computed tomography angiography

Age prediction from medical images or other health-related non-imaging data is an important approa...

Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain 2 MRI Analysis

In medical imaging, anomaly detection is a vital element of healthcare diagnostics, especially for...

Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study.

We created and validated an open-access AI algorithm (AIc) for assessing image segmentation and pati...

Apr 2025 40197806
Diffusion Bridge Models for 3D Medical Image Translation

Diffusion tensor imaging (DTI) provides crucial insights into the microstructure of the human brai...

IXGS-Intraoperative 3D Reconstruction from Sparse, Arbitrarily Posed Real X-rays

Spine surgery is a high-risk intervention demanding precise execution, often supported by image-ba...

Decoding Vision Transformers: the Diffusion Steering Lens

Logit Lens is a widely adopted method for mechanistic interpretability of transformer-based langua...

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis

Cancer detection and prognosis relies heavily on medical imaging, particularly CT and PET scans. D...

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance

Menisci are cartilaginous tissue found within the knee that contribute to joint lubrication and we...

Multiharmonic algorithms for contrast-enhanced ultrasound

Harmonic generation plays a crucial role in contrast-enhanced ultrasound, both for imaging and the...

Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope

This review is focused on the data-driven approaches applied in different applications of Acoustic...

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance

Echocardiography is crucial for cardiovascular disease detection but relies heavily on experienced...

Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond

Cardiac magnetic resonance imaging is the gold standard for non-invasive cardiac assessment, offer...

Efficient Chebyshev Reconstruction for the Anisotropic Equilibrium Model in Magnetic Particle Imaging

Magnetic Particle Imaging (MPI) is a tomographic imaging modality capable of real-time, high-sensi...

Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm

Arabidopsis is a widely used model plant to gain basic knowledge on plant physiology and developme...

Decision-based AI Visual Navigation for Cardiac Ultrasounds

Ultrasound imaging of the heart (echocardiography) is widely used to diagnose cardiac diseases. Ho...

Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations

To the best of our knowledge, all existing methods that can generate synthetic brain magnetic reso...

Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks

Speed-of-sound (SoS) is a biomechanical characteristic of tissue, and its imaging can provide a pr...

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg

Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. S...

Investigating the Role of Bilateral Symmetry for Inpainting Brain MRI

Inpainting has recently emerged as a valuable and interesting technology to employ in the analysis...

VR MRI Training for Adolescents: A Comparative Study of Gamified VR, Passive VR, 360 Video, and Traditional Educational Video

Magnetic Resonance Imaging (MRI) can be a stressful experience for pediatric patients due to the l...

HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation

Transvaginal ultrasound is a critical imaging modality for evaluating cervical anatomy and detecti...

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