Yipeng Hu

Artificial Intelligence Transforms Risk Assessment in Urologic Cancers uroai.org/blogs/blogdeta… @n_roessler @DrShariat @miszczyk_marcin @dr_rajwa @mwvetterlein @LiangChengMD @Cacciamani_MD @Markuseckstein3 @CZamboglou @mleapman @veerukasi @yipenghu @fazekasMD @EurUrolFocus

We have a fully funded 3 yr PhD post @ucl, deadline 12th Nov. Research is on optimising prostate cancer diagnosis using imaging (e.g MRI, PET, AI). Join our world-class team with proven track-record 4 changing practice. ucl.ac.uk/work-at-ucl/se… @BURSTurology @BSUroRad @ESRUrology

In a trial of men with suspected prostate cancer, biparametric MRI, which excludes the gadolinium contrast sequence, was noninferior to multiparametric MRI for detecting clinically significant cases. 🧵 ja.ma/4nhCVqy

The TUS-REC challenge will again be held with #ASMUS2025 at #MICCAI2025, with additional tracked ultrasound data and new trackerless recontruction tasks. @SigUltrasound @MiccaiS

FFT - my favorite acronym - not only making large-kernal convolution much faster, but also one of the best tactical RPGs. 🥂🥂

We’re hiring a PhD student, fully-funded (UK&Overseas) at School of Computer Science, University of Sheffield, UK, starting October 2025! findaphd.com/phds/project/a…

The UCL Hawkes Institute at #miccai2024 @WEISS_UCL @CmicUcl @UCLmedphys @uclcs @UCLEngineering

Full room at #ASMUS to kick off for a great #MICCAI 24!

@WEISS_UCL @CmicUcl @MICCAI_Society please RT :)

The #MICCAI2024 TUS-REC Challenge collected 2400 scans (>1 million optical-tracked utrasound frames) from 100 volunteers, with an aim to benckmark and improve 3D reconstruction of trackerless ultrasound. Supported by @SigUltrasound and #ASMUS2024 workshop. github-pages.ucl.ac.uk/tus-rec-challe…

🚨Call for reviewers! Please consider serving as a reviewer for @MICCAI_Society - #ASMUS workshop 🔊🏥 and apply here: forms.gle/taPTjt2qbwANC7… More info: ASMUS ‘24 (miccai-ultrasound.github.io) * Submissions until June 24 * Reviews due July 10

Honoured to be invited! 💟I will present "A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models" melba-journal.org/papers/2023:01… (code at github.com/mathpluscode/I…). Looking forward to discuss more about generative models at the panel discussion!

Are you an early-career scientist interested in learning about the latest advances in medical image computing? The 10th UCL Medical Image Computing Summer School (MedICSS 2024) will take place from 1st – 5th July 2024 in person in Central London. ucl.ac.uk/medical-image-…

Image registration people: want to test your own understanding of "spatial transformation composing"? 😅😵‍💫😎 Yiwen provided some brain exercises 🏃🏃‍♂️🏃‍♀️ for you in Section III.D: arxiv.org/abs/2402.10728

@CmicUcl @WEISS_UCL

My broken 2023 New Year Resolution - contributing to a paper that is nothing to do with deep learning❌🛜... - becomes a 2024 one...😅😳 But this new Janurary MedIA paper is the cloest: (linear) rule-modelling in prostate cancer segmentation networks. doi.org/10.1016/j.medi…

@mathpluscode @Iani_jmb @AlisonNoble_OU @MattClarksonUCL @CmicUcl @WEISS_UCL

Pleased to report a new paper in the last volume of 2023 Medical Image Analysis: 😃😃😃 - One of the largest (589) pelvic MR images with multi-structure (8) voxel-level labels released - One of the first 3D few-shot segmentation open-sourced doi.org/10.1016/j.medi…

Two opportunities to join @SophiaBano 's team in Artificial Intelligence in Endonasal Surgery have opened up. Find out more and apply here- ucl.ac.uk/work-at-ucl/se…

No autonomous surgical robots without synthetic data! Our latest paper introduces SARAMIS, the first large-scale dataset capturing human anatomy as 3D rendering assets for robotic assisted and minimally invasive surgery, to be presented at @NeurIPSConf shorturl.at/qTUY1 🧵