Hongwei Bran Li

Assistant Prof at @NUSingapore. Researching ML in medical imaging at @MGHMartinos; Did my Ph.D. in Zurich and Munich @DQBM_uzh @TU_Muenchen.

[Hongwei Bran Li @HongweiBran]

@HirokatuKataoka Very interesting.

[Hongwei Bran Li @HongweiBran]

@YueSong48287250 @YueLabCaltech Congratulations Yue.

[Hongwei Bran Li @HongweiBran]

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 @HongweiBran]

#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.

[Hongwei Bran Li @HongweiBran]

A step-by-step tutorial to get you started is available here:
📖: https://t.co/Xi2tzmdauM.

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.

[Desiree Schmitz @MicrobeDesi]

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!
https://t.co/fPDi710MsR

[Hongwei Bran Li @HongweiBran]

@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: https://t.co/ECCc0ojpXa

[Hongwei Bran Li @HongweiBran]

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

[Hongwei Bran Li @HongweiBran]

Thank you! @midl_conference

[Hongwei Bran Li @HongweiBran]

@SideriLampretsa Congrats!!

[Hongwei Bran Li @HongweiBran]

thanks!

[#CVPR2026 @CVPR]

HUGE shoutout to our #CVPR2024 Outstanding Reviewers 🫡

[BraTS @BraTS_challenge]

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!!!

[FeTAChallenge @FetaChallenge]

Are curious about the Multi-Center #FeTA2022 #MICCAI challenge results? Have a look at the @arxiv paper here ➡️ https://t.co/x34EehCdBj
@PayetteKelly @_Roxane_L @AndrasJakabMD @menze_group @HongweiBran @MeriBach @lanavasung @FIT_NGIn @PIPPIworkshop

[Hongwei Bran Li @HongweiBran]

Also… neural implicit representation could be used for k-space interpolation (IPMI2023): https://t.co/v0Tl4KWXoj , and multi-view reconstruction (MICCAI 2023) https://t.co/QpjBDx2JHj

[Tiny Human Brains @AndrasJakabMD]

We are hiring: Postdoc in Machine Learning in Neuroimaging. Please RT and spread the word. #jobsearch #Careers #MachineLearning @MICCAI_Society @ISMRM #GenerativeAI https://t.co/IidtVRpIph

[Hongwei Bran Li @HongweiBran]

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!

[Jiazhen Pan @PeterPanJZ]

🥃 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: https://t.co/NErZUvtB6b

[Hongwei Bran Li @HongweiBran]

Alina will present her great work on 3D vessel segmentation with single 2D projections and extra supervision from depth maps!

[Alina Dima @ad32403]

Excited about my poster later today at @MICCAI_Society
https://t.co/NKWYU8hO4G

[IPMI2023 @ipmi2023]

Day 2 begins with an oral talk focusing on reconstruction!