Explore approaches to mitigate bias in #AI applications! https://pubs.rsna.org/page/ai/mitigating_bias#AI#DeepLearning #Radiomics #ArtificialIntelligence

Check out today's #FreeFriday @radiology-ai.bsky.social article from #PubMedCentral! Challenges of Implementing Artificial Intelligence–enabled Programs in the Clinical Practice of Radiology https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427920#FreeFriday#PubMedCentral!#8211;enabled#ML #MachineLearning #ArtificialIntelligence

Time to 3D (bio)print with GRACE! @natureportfolio.nature.com Excited to share a new #3dprinting approach, to automatically create designs and prints that conform to living cells, particles or any object embedded within a printable resin for light based printing. www.nature.com/articles/s41...

The Checklist for AI in Medical Imaging addresses #AI applications that include classification, segmentation, and reconstruction of medical images https://pubs.rsna.org/page/ai/claim#AI#ML #DeepLearning #Radiomics

Unlocking Robust Segmentation: Decoding Domain Randomization for Radiologists https://doi.org/10.1148/ryai.250384 #ICML2025 #MachineLearning #AI

Sedation-free Pediatric #MRI is becoming a reality with DL-reconstructed Deep Resolve 3D sequences. Bac Nguyen (Oslo University Hospital, Norway) shares early insights on Deep Resolve 3D MPRAGE + 3D FLAIR. 🔗 marketing.webassets.siemens-healthineers.com/455f53e40101... #NeuroSky #RadSky #PedSky

🚀 Just launched: DLinRT.eu – a community-led platform to explore commercial deep learning tools in radiotherapy! 🛠️ First listings are live, tailored for European #radiotherapy. Launched to reach the #ESTRO2025 community. Clinics, researchers, vendors: join us! #DLinRT #deeplearning #medicalphysics

Honored to speak at #ESTRO25 on "Physics-informed neural networks for sCT and beyond" — a still underexplored area in #radiotherapy. Slides: doi.org/10.5281/zeno... Hoping this sparks more fusion of data- and physics-driven approaches!

🚀 Just launched: DLinRT.eu – a community-led platform to explore commercial deep learning tools in radiotherapy! 🛠️ First listings are live, tailored for European #radiotherapy. Launched to reach the #ESTRO2025 community. Clinics, researchers, vendors: join us! #DLinRT #deeplearning #medicalphysics

SynthRAD2025 has a website, and we invite you to get ready to participate, check synthrad2025.grand-challenge.org for more details

Science is a process of discovering how our minds work.. of figuring out what we're drawn to.. there are things that if I force myself to read, I don't retain very well. And other things, I read the first word and I'm riveted, and I just soak it up. – Martin Schwartz on the Night Science Podcast

MRI models are truly needed, great to see -> MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI, Yan Zhuang et al. 2025-04-23/2 doi.org/10.1148/radi... @radiology-ai.bsky.social

Submissions are OPEN for #SASHIMI2025 at #MICCAI2025! ✨ sashimiworkshop.org/submission/ There is a clean >2 month-gap until the deadline on June 25th, which is ample time to get your simulation and synthesis papers ready for publication! We are looking forward to meeting you in Daejeon! 🌏

European Commission: European Health and Digital Executive Agency, Analysis on workforce availability, education and training needs for the quality and safety of medical applications involving ionising radiation in the EU – Status and recommendations, 2025, data.europa.eu/doi/10.2925/...

As a spin-off of the #SynthRAD grand challenge, it is a pleasure to present #TrackRAD trackrad2025.grand-challenge.org. The first challenge for real time tumor tracking for #MRI guided #radiotherapy. The dataset is open since 15-03. Participate for a cash prize and to present @miccai.bsky.social

What a pleasant two days with old and new friends in Utrecht for #DLinRT dlinrt.org. Monday a full educational day and yesterday for a full blown jump. It is impressive to see the step forward in the field of #AI and how they have been declined in #Radiotherapy and even within a national community

Bye Bye X!

‼️We are so excited to announce #SASHIMI2025 at #MICCAI2025 in Daejeon! 🇰🇷 🌏 This year marks a DECADE of Simulation and Synthesis in Medical Imaging! It's never been more exciting to work in this field than now. Important dates and call for papers here: sashimiworkshop.org/call_for_pap...

Great review! Yinghui, W., Haonan, X., Jing, W. et al. Artificial intelligence in four-dimensional #imaging for #motion management in #radiation therapy. Artif Intell Rev 58, 103 (2025). doi.org/10.1007/s104...

Join us for the 2 days educational and scientific workshop on #deeplearning in #radiotherapy www.linkedin.com/posts/matteo...

Join us for the 2 days educational and scientific workshop on #deeplearning in #radiotherapy www.linkedin.com/posts/matteo...

Great to be at ISMRM Benelux meeting today @ismrm-benelux.bsky.social. Enjoy the day, looking forward

First post, & first New Year's resolution kept! I've just left X (read why there, but I guess, if you're here, you have the same issues☹️) I hope that this space will become, (& remain!) the collegiate space we need to keep up with everyone's work, developments, GOOD news & so on Happy new year all!

Artificial intelligence (AI) in health care has seen remarkable growth. What is the potential of AI to improve care management, clinical decision-making efficiency, and more? 📑 Read this Review in The Lancet Digital Health: bit.ly/3DwAJtD

Artificial Intelligence-Empowered Multistep Integrated Radiation Therapy Workflow for Nasopharyngeal Carcinoma doi.org/10.1016/j.ij...

Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2024 github.com/RSNA/AI-Deep...

Mind-blowing what it has already been demonstrated with physics-informed #deep learning: UltimateSynth: MRI Physics for Pan-Contrast AI Rhea Adams, er al. 2024 doi.org/10.1101/2024...

Bioart, courtesy of the NIH. All images are in the public domain and available for download as high-quality SVGs. bioart.niaid.nih.gov

NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. 1/3

For those of you who like your figures.

SynthRAD2025 has a website, and we invite you to get ready to participate, check synthrad2025.grand-challenge.org for more details

Here is the first preprint from Mianyong, it will be the baseline of future work on federated learning #DeepLearning-based auto-contouring of organs/structures-at-risk for #pediatric upper abdominal #radiotherapy arxiv.org/abs/2411.00594

"How a stubborn computer scientist accidentally launched the deep learning boom", a well written primer stressing in the #deeplearning narrative the importance of data, ideas and computational tricks arstechnica.com/ai/2024/11/h...

A new tutorial on RL by Kevin Patrick Murphy, a Research Scientist at Google DeepMind who also wrote several comprehensive, well-regarded textbooks on ML/DL. This ought to be a good read 👀 arxiv.org/abs/2412.05265

Radiation Therapy for Rectal Cancer: An ASTRO Clinical Practice Guideline Focused Update - Practical Radiation Oncology www.practicalradonc.org/article/S187...

Transition from X/Twitter to Bsky almost complete. All the old importable post from X have been imported, from now on only nee material. 2025, I know quite late, will be Bsky only

Researchers at the University of Iowa and UMC Utrecht aim to speed up MR-guided radiotherapy by incorporating volumetric-modulated arc therapy delivery capability into the MR-linac. 🧪#physics physicsworld.com/a/speeding-u...

To close good the year: Dosimetric feasibility of direct post-operative MR-Linac-based stereotactic radiosurgery for resection cavities of #brain metastases@Szabolcs_David @joostverhoeff @Cancer_UMCU @UMCU_Intl @U_Hersencentrum thegreenjournal.com/article/S0167-…

Curious to get an overview of #artificialintelligence/#DeepLearning -based #commercial solutions? I am happy to share a presentation on the topic, hoping it may facilitate other #radiotherapy centers/users. Thanks to Mathis Rasmussen, Stine Korreman, an… lnkd.in/gXrMqsi9

"Accelerated respiratory-resolved 4D-#MRI with separable spatio-temporal #NeuralNetworks" by @MaartenTerpstra, et al. Now out in sneak-preview mode oncode atonce published gitlab.com/computational-… doi.org/10.48550/arXiv…

Spot on topical review on automatic and interactive medical image #segmentation #DeepLearning iopscience.iop.org/article/10.108…

"Our work demonstrates that several important limitations of saliency methods must be addressed before we can rely on them for #DeepLearning explainability in #MedicalImaging nature.com/articles/s4225…

Pinned here, need to try it out: Faster, more flexible inference on GPUs using AITemplate ai.facebook.com/blog/gpu-infer…

Dear @bias_sig, any idea when the submission website will be open? We are eager to submit one challenge tofor next @MICCAI_Society meeting...more to follow ;) biomedical-challenges.org

With the release of v1.0 @ProjectMONAI, now all tasks for DLinRT are covered: segmentation, registration, reconstruction, regression, and tracking -> Worth a shot for beginners and experts. Tip: use together with @TorchIOLib, @LightningAI, and @weights_biases, a fantastic mix!

Anatomical and task-structured #Review on the use of #DeepLearning for medical images segmentationAljabri & AlGhamdi; nice table overview with Dice performances sciencedirect.com/science/articl…

So cool: so now you can just walk around while having an ultrasound lasting two days? Bioadhesive ultrasound for long-term continuous imaging of diverse organs science.org/doi/10.1126/sc…

Sometimes papers are just well written. This reads so smooth! "Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability, and data-model dependencyvia @IOPscience doi.org/10.1088/1361-6…

Sometimes, you should doubt the generally accepted tools/conventions. This time, @MaartenTerpstra & co came up with the perp-loss function to overcome motion and image quality underestimation for motion estimation & complex #MRI recon with #deeplearning doi.org/10.1016/j.medi…

Triggered by the latest #ESTRO2022, here you are an updated overview of #deeplearning-based automatic delineation products presented during the->Hoping this may facilitate clinics in finding info to speed up #radiotherapy workflow surfdrive.surf.nl/files/index.ph… DLinRT.org