🚀Happy to introduce `nb2py`, my side project from this past week that I've wanted to tackle for a looong time! 🛠️ It's here to bridge the gap between Jupyter Notebooks and training-ready Python scripts. #DeepLearning #DataScience

We're launching with our first issue this month! Please keep those excellent research manuscripts coming 🙏 academic.oup.com/radadv RSNA Radiology AileenOShea Niraj Nirmal Pandey, MD, DM Jae Song Priyanka Jha

And we're off! #RadAdv has posted its first articles. Continuous publication minimizes delays. RSNA Oxford Academic MGH Radiology Chiefs academic.oup.com/radadv

Apply to become one of our stellar #RadInTraining editorial board members - learn how to become an amazing scientific reviewer, how editorial decision for Radiology are made & how to amplify great research on social media. Take advantage of this unique opportunity!

A farewell lab meeting with pizza and conversations about the bright future of our fellows!🍕✨ Good luck in all your future endeavors, @KZhangMayo, Pouria Rouzrokh, MD , Shahriar Faghani MD and Bardia Khosravi, MD!🦾

The Radiology suite of journals is looking for peer reviewers for AI & cardiac imaging (including generative AI & cardiac MR). Send an email to [email protected] with your CV, present position w/ academic title/institution, & total number of manuscripts you've published.

We are a fully open access journal looking for imaging scientists to help shape its future! Diagnostic and interventional radiologists, engineers, physicists, and biochemists are all welcome to apply. @oupmed RSNA forms.gle/RLqtFuzJqV2CXs… academic.oup.com/radadv

Will deep-learning image reconstruction revolutionize CT imaging by improving image quality while reducing radiation dose? Discover its potential in detecting hypodense liver lesions: pubs.rsna.org/doi/10.1148/ra… Radiology Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor Harvard Medical School #RadInTraining

A more objective method to diagnose normal pressure hydrocephalus on MRI. A deep learning tool for segmenting cerebrospinal fluid spaces enables it! #RadAdv RSNA OUP Medicine doi.org/10.1093/radadv…

Top Images in Radiology 2024: Congratulations to the winners and looking forward to mots incredible submissions in 2025: pubs.rsna.org/doi/10.1148/ra…

This week’s Images in Radiology feature: Synthetic CT revealing multiple enchondromas in Ollier’s syndrome, offering unique insights into this rare skeletal disorder. #Radiology #MedicalImaging pubs.rsna.org/doi/10.1148/ra…

Low dose CT can be used to quantify lower extremity perfusion. Validation in a swine model! #RadAdv RSNA OUP Medicine doi.org/10.1093/radadv…

New study shows photon-counting CT outperforms conventional energy-integrating detector CT in detecting small liver lesions (<1.5 cm), especially at lower doses. Exciting advancements in imaging technology! 🩻 #Radiology #CTScan @dukeradiology pubs.rsna.org/doi/10.1148/ra…

I look forward to seeing its applications in MR segmentation and transfer learning unfold.

A look back at #RadAdv journal’s inaugural year. We are assembling a truly global community! Editors want to extend their heartfelt thanks to the peer reviewers and contributors who made it possible. #RadAdv RSNA OUP Medicine doi.org/10.1093/radadv…

Shahriar Faghani MD Brad Erickson propose a method to increase trust in medical #DeepLearning tools doi.org/10.1148/ryai.2… Mayo Clinic Radiology #brain #XAI #MachineLearning

What if brain MRI could go wherever it’s needed most? 🧠In this new article, Kevin Zhang, Ali Ganjizadeh, M.D., pM.B.A, Sanaz(Shanli)Vahdati, MD, @Slowvakin and colleagues explore how compact MRI systems and advanced gradient tech are expanding access to brain imaging. Take a look: pubs.rsna.org/doi/10.1148/ra…

Thank you, Dr. Moy, for the opportunity to review this cutting-edge MRI technology! I’m excited to see it gaining attention now that it’s published online in Radiology!