12 stories tagged with #medical-imaging, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Perimeter Medical Imaging AI, Inc. (PINK:CA) Q1 2026 Earnings Call Transcript
Perimeter Medical Imaging AI, Inc. (PINK:CA) Q1 2026 Earnings Call May 28, 2026 5:00 PM EDTCompany ParticipantsStephen Kilmer - Investor Relations...…
Rongtao Medical Serves Distributors in 140+ Countries as Independent Medical Imaging Equipment Service Partner - Morningstar
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Do Synthetic Brain MRIs Reliably Improve Tumour Classification? A StyleGAN2-ADA Class-Plane Augmentation Study on BRISC 2025
Generative augmentation is often proposed as a remedy for small medical-image datasets, but synthetic images are only useful when they improve downstream task performance. "Augment…
KMRI – experimental chunked MRI compression using ZSTD and ROI-aware encoding
KMRI: fast MRI compression + decoding toolkit in C++/Python - Kiamehr5/KMRI…
Generation of Heterogeneous PET Images from Uniform Organ Activity Maps Using a Pretrained Domain-Adapted Diffusion Model
Synthetic PET images are valuable for quantitative imaging workflow development, scalable virtual imaging trials, and deep learning model training, but conventional physics-based s…
Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis
Medical vision-language models (VLMs) have rapidly advanced as general-purpose multimodal assistants, yet their deployment in 3D Computed Tomography (CT) analysis remains constrain…
Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation
Class imbalance is a fundamental challenge in medical image segmentation, where frequent classes typically dominate training at the expense of rare classes. Loss-based approaches m…
Pixel Wised Lesion Prediction on COVID-19 CT Imagery: A Comparative Analysis of Automated Image Segmentation Architectures
In recent years, there has been a notable increase in the level of attention that is given to algorithms based on deep learning in the context of medical image segmentation. Nevert…
EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis
Cone-beam CT (CBCT) is routinely acquired during radiotherapy for patient setup, but its quantitative reliability is degraded by scatter, noise, and reconstruction artifacts, limit…
Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities
Multimodal magnetic resonance imaging (MRI) is crucial for brain tumor segmentation, with many methods leveraging its four key modalities to capture complementary information for e…
MIT scientists turn chaotic laser light into powerful brain imaging tool
Scientists at MIT discovered that chaotic laser light can spontaneously form a highly focused beam instead of scattering—if the conditions are just right. This “pencil beam” enable…
Adaptive Ultrasound Imaging with Physics-Informed NV-Raw2Insights-US AI
A Blog post by NVIDIA on Hugging Face…