Huang Juncheng (Jason)

[Huang Juncheng (Jason) @J__Huang]

Vibration-free renal MR elastography derived from diffusion weighted imaging-derived virtual shear modulus correlates strongly with kidney dysfunction and fibrosis with diagnostic performance comparable to conventional MR elastography.

@RSNA @OxfordJournals @SusannaLeeRad

https://t.co/iBTUJ9J76d

[Huang Juncheng (Jason) @J__Huang]

A physics-informed deep learning model enabled acquisition-free correction of severe prostate DWI distortions, improving diagnostic confidence while identifying all histologically confirmed lesions.

@RSNA @OxfordJournals @SusannaLeeRad

https://t.co/cIXdsptDbQ

[Huang Juncheng (Jason) @J__Huang]

3.0-T MR single frequency elastography of the heart demonstrated excellent long-interval reproducibility for quantifying myocardial stiffness, distinguishing true longitudinal changes from measurement variability.

@RSNA @OxfordJournals @SusannaLeeRad

https://t.co/MnMF7EzDIm

[Huang Juncheng (Jason) @J__Huang]

A deep learning model using abdominal contrast-enhanced CT accurately predicted the severity of acute pancreatitis and outperformed traditional prognostic tools (e.g. BISAP and mCTSI).​​
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@RSNA @OxfordJournals @SusannaLeeRad​​​​

https://t.co/N3RWRzbebr

[Huang Juncheng (Jason) @J__Huang]

A fully automated nnUnet-based model accurately segmented and quantified wrist synovial tissue volume on postcontrast MRI in patients with rheumatoid arthritis.​

@RSNA @OxfordJournals @SusannaLeeRad​

https://t.co/EWG2E56DfG

[Huang Juncheng (Jason) @J__Huang]

"The brain emerges as both battleground and masterpiece—a place where beauty and struggle become inseparable." created by Fatt Yang Chew, MD of Taichung, Taiwan. Discover this “Art of Imaging” article in the latest issue of #RadAdv. ​
​
@RSNA @OxfordJournals @SusannaLeeRad ​
​
https://t.co/exWh7B8AhP

[Huang Juncheng (Jason) @J__Huang]

A novel lung shunt fraction (LSF) metric can reliably identify 90Y-SIRT cases where MAA-based LSF determination may be omitted while preserving treatment planning accuracy.

@RSNA @OxfordJournals @SusannaLeeRad
https://t.co/7etT4OSlSC

[Huang Juncheng (Jason) @J__Huang]

DeepPNP demonstrated superior accuracy for pulmonary nodule malignancy risk prediction compared with established malignancy risk models, with modest performance gains from enriched training data.​

@RSNA @OxfordJournals @SusannaLeeRad​
https://t.co/hyyAxyyT15

[Huang Juncheng (Jason) @J__Huang]

Grateful to be part of the #RadAdv Trainee Editorial Board at @RSNA 2025.

We come from around the world, but we all speak the same language: reviewer comments. @OxfordJournals

Thankful for the friendships and mentorship! @SusannaLeeRad @MonicaCheng_ @Asser_AE @CliveMusonza_MD

[Huang Juncheng (Jason) @J__Huang]

Fetal growth restriction/small for gestational age pregnancies. Machine learning integration of MRI, ultrasound, and clinical data improves outcome prediction over conventional ultrasound only approaches.​

#RadAdv @RSNA @OxfordJournals @SusannaLeeRad

https://t.co/yJsmlD24TN

[Huang Juncheng (Jason) @J__Huang]

Clinical implementation of deep learning on MR neuroimaging cut scan times by over 50% while maintaining image quality​

#RadAdv @RSNA @OxfordJournals @SusannaLeeRad​

https://t.co/ri5EIPS2hN

[Asser Abou Elkassem @Asser_AE]

Deep learning tool for automated segmentation of myocardial infarcts on cardiac MRI outperforms trained readers and requires no pre-processing.​
@RSNA @OxfordJournals #RadAdv ​
https://t.co/HNXEjUjgr1

[Asser Abou Elkassem @Asser_AE]

Deep learning-accelerated T1-MPRAGE cuts brain MRI scan time, improves spatial resolution, and delivers equivalent volumetric estimates with similar delineation of sulci and gyri .
@SusannaLeeRad @OxfordJournals #RadAdv ​
https://t.co/5t4gcI6soq

[Monica Cheng, MD @MonicaCheng_]

In this @RSNA #RadAdv review article, @ShanliVahdati et al. highlight strategies for fine-tuning and prompt engineering to enhance the performance of LLMs for clinical applications within radiology @MayoAILab @MayoRadiology @OxfordJournals @SusannaLeeRad https://t.co/iPX2imcyA1

[Monica Cheng, MD @MonicaCheng_]

Contrast enhanced CT-derived hypervascular-tumor-to-perfused volume ratio may offer a non-invasive alternative to 99mTc-MAA for lung shunt fraction estimation in hepatic transarterial radioembolization @RSNA #RadAdv @OxfordJournals @SusannaLeeRad https://t.co/Gshm4yy97k

[Monica Cheng, MD @MonicaCheng_]

RadGPT, a visual-language AI system enhanced by interactive human-AI refinement, has the potential to aid in the diagnosis and interpretation of knee radiographs @MGHMartinos @MGHImaging @RSNA #RadAdv @OxfordJournals @SusannaLeeRad https://t.co/kXNiljSi8j

[Huang Juncheng (Jason) @J__Huang]

Adhesive capsulitis, commonly known as frozen shoulder. Discover this “Art of Imaging” and its creator in the latest issue of #RadAdv.​

@RSNA @OxfordJournals @woojinrad @SusannaLeeRad​

https://t.co/QkVaobxeu2

[Susanna I Lee @SusannaLeeRad]

A warm welcome to our inaugural trainee editorial board! You can find out more about them and their mentors at
https://t.co/RyjR5LF38e
@RSNA @OxfordJournals #RadAdv @MonicaCheng_ @Asser_AE @CliveMusonza_MD @J__Huang