@UCL_Hawkes (former CMIC, WEISS)

Joined October 2009
18 Photos and videos
Yipeng Hu retweeted
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/search… @BURSTurology @BSUroRad @ESRUrology
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Yipeng Hu retweeted
10 Sep 2025
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
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18 Jun 2025
The TUS-REC challenge will again be held with #ASMUS2025 at #MICCAI2025, with additional tracked ultrasound data and new trackerless recontruction tasks. @SigUltrasound @MiccaiS
28 Apr 2025
We are excited to announce the launch of the TUS-REC2025 Challenge at #MICCAI2025, aiming to benchmark and improve 3D trackerless ultrasound reconstruction, supported by @SigUltrasound and #ASMUS2025 workshop. Website: github-pages.ucl.ac.uk/tus-r… @UCL_Hawkes @MICCAI_Society
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5 Jun 2025
FFT - my favorite acronym - not only making large-kernal convolution much faster, but also one of the best tactical RPGs. 🥂🥂
A sweeping epic returns, told as never before. Final Fantasy Tactics - The Ivalice Chronicles launches September 30th on Nintendo Switch 2, Nintendo Switch, PlayStation 5, PS4, Xbox Series X|S, and Steam: sqex.link/FFTICa
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Yipeng Hu retweeted
Full room at #ASMUS to kick off for a great #MICCAI 24!
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2 Jul 2024
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-r…
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Yipeng Hu retweeted
🚨Call for reviewers! Please consider serving as a reviewer for @MICCAI_Society - #ASMUS workshop 🔊🏥 and apply here: forms.gle/taPTjt2qbwANC7Pk8 More info: ASMUS ‘24 (miccai-ultrasound.github.io) * Submissions until June 24 * Reviews due July 10
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Yipeng Hu retweeted
Honoured to be invited! 💟I will present "A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models" melba-journal.org/papers/202… (code at github.com/mathpluscode/ImgX…). Looking forward to discuss more about generative models at the panel discussion!

🚨 New MELBA Symposium 🎯 Topic - Generative Models 🗓️ When - Tuesday, June 11 at 9-11:30 AM EDT, 3-5:30 PM CEST 📍 Where - Online Join us for an exciting lineup of talks from spotlight papers at MELBA surrounding generative models, machine learning, and biomedical imaging. 🔎 More info - melba-journal.org/blog/014-s…
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Yipeng Hu retweeted
23 Feb 2024
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-comp…
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21 Feb 2024
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
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3 Jan 2024
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.media.2023…

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12 Dec 2023
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.media.2023…

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Yipeng Hu retweeted
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 🧵
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