Recent advancements in medical imaging are increasingly focused on enhancing interpretability and efficiency, addressing long-standing barriers to clinical adoption. Work on brain tumor analysis has introduced frameworks that combine explainable AI with high classification accuracy, allowing clinicians to understand model reasoning while diagnosing complex cases. In cervical spine imaging, a novel projection-based approach has streamlined fracture detection, achieving high accuracy with reduced computational demands. Unsupervised denoising methods for cardiac PET imaging have emerged, enabling clearer visualization of dynamic data without the need for paired training sets, thus preserving quantitative integrity. Additionally, techniques for reconstructing colonoscopic data are evolving to account for peristaltic motion, improving surgical navigation. Innovations in dental imaging have also tackled artefact reduction in cone-beam computed tomography, enhancing diagnostic quality. Collectively, these developments signify a shift towards more interpretable, efficient, and clinically applicable imaging solutions, with potential to significantly improve patient outcomes across various medical fields.
Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption remains limited by interpretability and computational constraints. Conventional models often act as opaq...
A long-term goal in CT imaging is to achieve fast and accurate 3D reconstruction from sparse-view projections, thereby reducing radiation exposure, lowering system cost, and enabling timely imaging in...
Intraoperative Cone Beam Computed Tomography (CBCT) provides a reliable 3D anatomical context essential for interventional planning. However, its static nature fails to provide continuous monitoring o...
Cone-beam computed tomography (CBCT) is a widely used 3D imaging technique in dentistry, offering high-resolution images while minimising radiation exposure for patients. However, CBCT is highly susce...
Accurate 3D reconstruction of colonoscopy data, accounting for complex peristaltic movements, is crucial for advanced surgical navigation and retrospective diagnostics. While recent novel view synthes...
Rb-82 dynamic cardiac PET imaging is widely used for the clinical diagnosis of coronary artery disease (CAD), but its short half-life results in high noise levels that degrade dynamic frame quality an...
Cervical spine fractures are critical medical conditions requiring precise and efficient detection for effective clinical management. This study explores the viability of 2D projection-based vertebra ...
Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA), which quantifies areal bone mineral density but overlooks bone microarchitecture and surrounding so...
Current methods for multimodal medical imaging based disease recognition face two major challenges. First, the prevailing "fusion after unimodal image embedding" paradigm cannot fully leverage the com...
Intracoronary Optical Coherence Tomography (OCT) enables high-resolution visualization of coronary vessel anatomy but presents challenges due to noise, imaging artifacts, and complex tissue structures...