#SPIE_JMI
AI is helping predict prostate cancer outcomes for patients on active surveillance. 🥼

By analyzing changes over time, researchers can predict whether cancer remains stable or becomes aggressive, enabling smarter, personalized care.

Review the study in #SPIE_JMI: https://bit.ly/4oxl3bA
December 8, 2025 at 8:24 PM
Combining brain scans from thousands of sites is tough, so researchers are using AI to “harmonize” 10,000 brain connectomes so they speak the same language. 🧠🎶

Harmonizing the data may enable better insights into mental health. Read the full #SPIE_JMI article here: https://bit.ly/4iz252V
December 7, 2025 at 4:53 PM
🌟 A new @fda.gov study proposes a paired statistical test comparing AI-to-expert vs. expert-to-expert segmentation overlap, validating AI without a reference standard.

Review the research in #SPIE_JMI: https://bit.ly/47Zs8wl
December 4, 2025 at 6:53 PM
Cutting down false positives & boosting diagnostic precision!

Researchers @upenn.edu @ucsantabarbara.bsky.social found that convolutional #NeuralNetworks can interpret breast scans with fewer false positives, thereby enhancing diagnostic accuracy. 🥼

Read the #SPIE_JMI paper: https://bit.ly/3JHx9jM
November 9, 2025 at 3:49 PM
Smarter CT imaging! 🩻

Researchers from @upenn.edu & @jhu.edu found a way to separate body parts and metal implants into two layers. Using AI for anatomy and math for metal, they clean up blurry images, making scans clearer.

Read the full #SPIE_JMI article: https://bit.ly/3XcpQns
November 7, 2025 at 7:14 PM
The Journal of Medical Imaging invites submissions for the special section, "Going Beyond Observer Performance: Human-AI Interface." This section explores approaches to human-AI collaboration in medical imaging.

📅 Deadline: 31 March 2026
🔗 Submit your work to #SPIE_JMI here: https://bit.ly/4hAcsTG
October 29, 2025 at 7:06 PM
Triple-negative breast cancer is tough to predict due to its complexity. New research published in #SPIE_JMI shows that even unstable radiomic features from MRI scans can still be highly predictive.

Read more in the #OpenAccess article: https://bit.ly/47aiW6U

#MedicalImaging #Radiomics
October 17, 2025 at 6:52 PM
MultiAxial, a new state-of-the-art tool for whole-head MRI segmentation, outperforms standard tools & improves modeling in transcranial electric stimulation. The model and dataset are now publicly available as a benchmark for future research! 📏

Read more in #SPIE_JMI: https://bit.ly/3J8dXeU
October 16, 2025 at 4:53 PM
Medical imaging researchers from Vanderbilt & @mdanderson.bsky.social have developed Glo-In-One-v2, a powerful AI model that enables multiclass segmentation of kidney pathology images.

The article published in #SPIE_JMI includes the #OpenSource model!

https://bit.ly/4guTL35
September 12, 2025 at 10:58 PM
AI-generated contrast in breast MRI, no injection needed. This tech could transform #CancerDetection for patients where contrast agents are risky.

#OpenAccess in #SPIE_JMI:
www.spiedigitallibra...

Thanks @ub.edu @www.helmholtz-munich.de‬ ‪@ja-schnabel.bsky.social‬!
#MedicalImaging
July 9, 2025 at 2:37 PM
Celebrating Digital Tomosynthesis: Past, Present, & Future! ✨

From #SPIE_JMI editors Stephen Glick @usfda.bsky.social, Ingrid Reiser @uchicago.bsky.social, Mitchell Goodsitt @umich.edu, Andrew Maidment @upenn.bsky.social, & John Sabol @konica.bsky.social.

www.spiedigitallibra...

#MedicalImaging
June 13, 2025 at 4:00 PM
AI + synthetic mammography reduces workload & increases accuracy for digital breast tomosynthesis screening.

Report from @lunduniversity.bsky.social @lunduniversity-med.bsky.social in #SPIE_JMI: www.spiedigitallibra...

#MedicalImaging
June 4, 2025 at 12:47 PM
A hybrid deep-learning approach for enhanced Alzheimer's detection distinguishes stages of cognitive impairment. 💡

Explore the research in #SPIE_JMI - www.spiedigitallibra...

#MedicalImaging
June 3, 2025 at 3:34 PM
Fine-tuned MRI machine-learning models for hysterectomy prediction in pregnant women - #OpenAccess report from Baowei Fei's group @utdallas.bsky.social @utswtxid.bsky.social
in #SPIE_JMI: www.spiedigitallibra...

#MedicalImaging
June 2, 2025 at 6:54 PM
Yijie Yuan is recovering lung radiomics features using deep learning @spie.org with #SPIE_JMI 3-minute poster competition
February 20, 2025 at 2:19 AM
Learning about imaging with tiny (600 microns) endoscopes with Marco Wende @spie.org with #SPIE_JMI 3-minute poster competition
February 20, 2025 at 2:16 AM
Kengo Takahashi is predicting vascular invasion in liver cancer at @spie.org with #SPIE_JMI 3-minute poster competition
February 20, 2025 at 2:11 AM
Finding shoulder tears on MRI without invasive injections using AI - Sahil Sethi @spie.org with #SPIE_JMI 3-minute poster competition
February 20, 2025 at 2:09 AM
Finding functional brain patterns in the white matter with vascular smoothing with Adam Saunders @spie.org with #SPIE_JMI 3-minute poster competition
February 20, 2025 at 2:05 AM
How does AI learn when experts disagree? - Soorena Salari @spie.org with #SPIE_JMI 3-minute poster competition
February 20, 2025 at 2:01 AM
Emmanouil Nikolakakis is using differential rendering to reduce radiation dose in CT. @spie.org with #SPIE_JMI 3-minute poster competition
February 20, 2025 at 1:58 AM
How could a single beam forming sensor improve your ultrasound system? - Nathan Meulenbroek @spie.org with #SPIE_JMI 3-minute poster competition.
February 20, 2025 at 1:54 AM
Aravind Krishnan is mapping lung dynamics with AI and CT at @spie.org with #SPIE_JMI.
February 20, 2025 at 1:51 AM
Walia Farzana is quantifying uncertainty in AI neuro predictions at @spie.org with #SPIE_JMI.
February 20, 2025 at 1:49 AM
Learning about MSK imaging with 3D ultrasound from Clara Duquette-Evans at @spie.org with #SPIE_JMI.
February 20, 2025 at 1:45 AM