🛠️ When you register for the PACS System Analyst Intensive, you get world-class training from Yuri Nikolski AND:

📚 3 eBooks (PACS, DICOM, HL7)
📝 A comprehensive Certification Study Guide
🔗 REGISTER HERE: vist.ly/4s6e7

#MedImaging #RadiologyIT #DICOM #PACSAdmin

IT IS TODAY!!!!

Not registered? You can still do so here : tinyurl.com/4wr7h9wd

To stay updated on our webinars, events, and more, subscribe to our mailing list: t.co/Oa9dLowy1h

#Neuro #AI #ML #BrainTumor #MentalHealth #MedImaging #Resilience #NeuroOnc

Meet Dr. Mumu Aktar, our first speaker this Thursday.

Remember to register at tinyurl.com/4wr7h9wd

To stay updated on our webinars, events, and more, subscribe to our mailing list: forms.gle/CJEGWiQ8SvkZ...

#Neuro #BrainTumor #MedImaging #AI #ML #NeuroOnc

Training-Free Explainable Vision-Language Model for Medical Imaging

A training-free, explainable vision-language model for medical imaging has been announced. Read more: getnews.me/training-free-explainabl... #medimaging #visionlanguage #explainable

Explainable Concept‑Based Vision‑Language Model for Medical Imaging

CBVLM lets vision‑language models answer concept queries and give diagnoses without training, beating traditional CBMs on four medical‑imaging datasets and twelve LVLMs. Read more: getnews.me/explainable-concept-base... #medimaging #concept

VeloxSeg Boosts 3D Medical Image Segmentation with AI Efficiency

VeloxSeg boosts 3D medical image segmentation Dice scores by 26% and speeds GPU throughput ~11× and CPU throughput ~48×, while staying lightweight model. Read more: getnews.me/veloxseg-boosts-3d-medic... #veloxseg #medimaging

Synergistic Pre‑training Boosts Multimodal Medical Image Classification

Researchers introduce a two‑stage framework that improves multimodal medical image classification, outperforming on Kvasir and Kvasir‑v2 gastroscopy datasets. Read more: getnews.me/synergistic-pre-training... #multimodal #medimaging

SAM-DCE Reduces Token Uniformity and Over‑Smoothing in Segmentation

SAM‑DCE adds contrastive token regularization and a mask decoder to reduce token uniformity and sharpen edges, improving class separability on MRI, CT and ultrasound tests. Read more: getnews.me/sam-dce-reduces-token-un... #samdce #medimaging

Comparison of Dose-Response Maps of the Bladder and Rectum in Prostate Cancer Patients Undergoing Radiotherapy With and Without Baseline Toxicity Normalization Introduction: Voxel-based dose-response mapping analysis (VBA), such as radiotherapy dose-response maps (DRM), derived by combining dose-surface maps (DSM) and

Dose-Response Maps of the Bladder/Rectum in Prostate Cancer Patients Receiving Radiotherapy With/Without Baseline Normalization #RadOnc #OncoRad #RadTherapy #MedImaging #Radiology #Oncology #CancerResearch #MedPhys #PhysicsInMedicine #ProstateCancer #PCa t.ly/u8Dh7