Assistant Prof at @NUSingapore. Researching ML in medical imaging at @MGHMartinos; Did my Ph.D. in Zurich and Munich @DQBM_uzh @TU_Muenchen.
Singapore
Joined November 2019
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#MICCAIChallenge Synthetic 3D MRI images have enormous potential in medical imaging. Here's an example showing how synthetic MRI can effectively reduce motion artifacts in brain tumor imaging: the algorithm, trained on glioma patients, generalizes robustly to meningioma cases.
A step-by-step tutorial to get you started is available here:
📖: shorturl.at/kT3mV.
Our evaluation criteria prioritize not only overall image quality (e.g., SSIM), but also importantly assess the clinical utility of synthesized tumor structures in segmentation tasks.
We look forward to your innovative contributions to this exciting area of research! This challenge is jointly organized by @JuanEugenioIgl1, @RosenLab, Bene Wiestler, @neuronflow, myself, and the @BraTS_challenge organizing team.
Hongwei Bran Li retweeted
More great news: Our collaborative work with @RolfsMicrobes, Tobi, @HongweiBran, @menze_group, @DQBM_uzh is now in @PLOSONE Lab Protocols! Discover our new automated pipeline for imaging bacterial infections in zebrafish 🐟 Grateful for this collaboration!
journals.plos.org/plosone/ar…
Amazing talks by Professors @DanielRueckert and @ja_schnabel at the Martinos Center @MGHMartinos , followed by engaging discussions with research fellows! Huge thanks to Matt @RosenLab and Eugenio @JuanEugenioIgl1 for their incredible support. #AI #MedicalImaging #MotionModeling
@ja_schnabel gave a talk on “Resolving MR motion artefacts using deep learning” showcasing their works by @oksuzilkay @KingsImaging @SmartHeartUK and @hannah_eichhorn and @spieker_vj @HelmholtzMunich 👏. Check out their recent review on motion correction in MRI: ieeexplore.ieee.org/document…
Hongwei Bran Li retweeted
Excited to announce that the @BraTS_Challenge willl take place again at the annual meeting of the @MICCAI_Society #MICCAI24 in #Marrakesh. Even more exciting are the newly introduced #openscience #benchmarks/#challenges releasing new #data.
@MiccaiStudents @bias_sig
Stay tuned!!!
Hongwei Bran Li retweeted
Are curious about the Multi-Center #FeTA2022 #MICCAI challenge results? Have a look at the @arxiv paper here ➡️ arxiv.org/abs/2402.09463
@PayetteKelly @_Roxane_L @AndrasJakabMD @menze_group @HongweiBran @MeriBach @lanavasung @FIT_NGIn @PIPPIworkshop
Also… neural implicit representation could be used for k-space interpolation (IPMI2023): arxiv.org/pdf/2212.08479.pdf , and multi-view reconstruction (MICCAI 2023) link.springer.com/chapter/10…
Hongwei Bran Li retweeted
We are hiring: Postdoc in Machine Learning in Neuroimaging. Please RT and spread the word. #jobsearch #Careers #MachineLearning @MICCAI_Society @ISMRM #GenerativeAI stellen.kispi-jobs.ch/offene…
Yes, it seems that we gain more robustness in k-space interpolation when using masked auto-encoding by a vision transformer. @PeterPanJZ will tell you more!
🥃 After GRAPPA, RAKI, Caipirinha, SAKE etc., We have one more alcoholic beverage in MR Reconstruction😉
I will present our new work, k-GIN at #MICCAI2023 poster W-06-042. 🤗 You can also check our project page: jzpeterpan.github.io/k-gin.g…
Alina will present her great work on 3D vessel segmentation with single 2D projections and extra supervision from depth maps!
welcome to the sister challenge - local inpainting challenge at BraTS!
Ever wondered what the brain of a tumor patient looked like before they developed the disease? This question keeps doctors awake at night. Help them by joining the BraTS Inpainting Challenge!
synapse.org/#!Synapse:syn511…
#AI #MachineLearning #DeepLearning #computervision #glioma #ml
🧠 Missing modality in multi-parametric neuroimaging restricts us from conducting comprehensive analyses without complete image sets.
🌟 We are introducing BraSyn, an initiative to synthesize missing 3D MR images for brain tumor patients at MICCAI'23.
#synthesis #neuroimaging
We'll host this event within the great @BraTS_challenge framework. 🎉
If you're passionate about bridging this gap in neuroimaging and want to contribute, we invite you to participate! Click here for more info: 👉 synapse.org/#!Synapse:syn511…
💙
Arxiv: arxiv.org/abs/2305.09011
@compImgTUM @JuanEugenioIgl1 @giemmecci @SpyridonBakas @ujjwalbaid0408
@BraTS_challenge @menze_group @BraTS_inpaint