Machine Learning for Biomedical Imaging @MELBAJournal
Open-access, independent, minimum fee journal. Co-founded by @arbtal,@ja_schnabel,@mertrory,@wmwells3,@MarcNiethammer,@adriandalca melba-journal.org/contact.html Joined January 2020-
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🚨 New publication alert: 📢 “Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET.” 🖊️ @HassanalyRavi, C. Brianceau, @maelysolal, @oliviercolliot, @NinonBurgos. 🎯 Authors propose an evaluation…
🚨New publication alert: 📢 “A voxel-level approach to brain age prediction: A method to assess regional brain aging.” 🖊️ @g_nehaa, @MahsaDibaji, @johanna_ospel, F. Vega, @marianapbento, @MEthanMacDonald, @Roberto54034061. 🎯 Authors propose a deep learning-based multitask model…
If you missed the opportunity to present at @midl_conference, you have a second chance! Submit your work to @MELBAJournal and accepted papers will be invited to be presented at MIDL. #Journal2Conferene
Proud to announce that Aisha Lawal Shuaibu (one of my PhD supervisees) has had her first paper published in @MELBAJournal! The title is HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration melba-journal.org/papers/2024:00…
Have you just missed the @midl_conference 2024 paper registration deadline and you still want to go to the conference in Paris? Do you have an amazing manuscript in the pipeline? Consider submitting to MELBA. Accepted papers can be presented at MIDL. Journal -> Conference
New publication alert: "Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation." By @seancepstein, @tjp_bray , @HallCraggs, @garyhuizhang @CmicUcl @CMI_UCL. Free to read: doi.org/10.59275/j.mel…
New publication alert: "Score-Based Generative Models for PET Image Reconstruction." By @Singh_Imraj, @DenkerAlexander, @BarbanoRiccardo, Ž Kereta, B Jin, K Thielemans, P Maass, S Arridge. Free to read: doi.org/10.59275/j.mel…
I am thrilled to join the @MELBAJournal editorial board, and further promote its mission of #OpenScience on #MachineLearning #Innovation for #Biomedical #Imaging, without paywalls. (an advocate for MELBA ever since it was first founded) Thank you for the opportunity!
I am thrilled to join the @MELBAJournal editorial board, and further promote its mission of #OpenScience on #MachineLearning #Innovation for #Biomedical #Imaging, without paywalls. (an advocate for MELBA ever since it was first founded) Thank you for the opportunity!
We are excited to announce that @SpyridonBakas is joining our Executive Board as an Executive Editor. Prof Bakas will be bringing a deep expertise and background in challenges, datasets, and tools that are instrumental for our research community
Placentas are thin, soft, & prone to motion, making them hard to scan when assessing their health & function. A team of researchers incl. #JClinic PI @GollandPolina built a model that improves placenta MRI scans across various stages of pregnancy: melba-journal.org/pdf/2023:017.p…
Happy to share our latest work on shape-aware segmentation has been accepted to @MELBAJournal! In this work, we tackle the challenging problem of segmenting placental volumes in whole-uterus BOLD MRI Time Series.
Happy to share our latest work on shape-aware segmentation has been accepted to @MELBAJournal! In this work, we tackle the challenging problem of segmenting placental volumes in whole-uterus BOLD MRI Time Series.
Honored to join the team! Thanks for having me.
Honored to join the team! Thanks for having me.
Introducing our latest research on denoising diffusion probabilistic models (DDPM) training and the potential risks of using noised ground truth. We focused on avoiding data leaks during training and reducing inconsistencies between training and inference. 🔍(1/5)
Introducing our latest research on denoising diffusion probabilistic models (DDPM) training and the potential risks of using noised ground truth. We focused on avoiding data leaks during training and reducing inconsistencies between training and inference. 🔍(1/5)
New publication alert: "A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models." By Y Fu @mathpluscode, Y Li, S U Saeed, M J Clarkson, Y Hu. Free to read: doi.org/10.59275/j.mel…
I'm very honoured to have been selected as an associate editor for MELBA!
I'm very honoured to have been selected as an associate editor for MELBA!
We would like to welcome Xiaoxiao Li (UBC, @XiaoxiaoLi8), Wei Shen (Shanghai Jiao Tong), Yueming Jin (NUS, @JinYueming), and Christian Baumgartner (Tuebingen, @c_f_baumgartner) to our editorial team as associate editors.
It is our pleasure to announce that @AdrianDalca is now an Executive Editor. Prof. Dalca has been an integral member of the MELBA team since our inception and has served as an associate editor and launching editor. We are grateful for the experience, expertise, and knowledge he…
Mert R. Sabuncu 🤖�.. @mertrory
5K Followers 832 Following AI for Medical Imaging|Prof @Cornell_tech @CornellECE|Vice Chair of AI&Eng Research @WCMRadiology|Cofounder @MLIMWebinar @MELBAJournal|Ex @EPrinceton @MIT_CSAILLena Maier-Hein @lena_maierhein
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2K Followers 1K Following KCL Senior lecturer. Geometric and Explainable Deep Learning, cortical modelling, open science https://t.co/lp7yu4W5oUAndreas K. Maier @maier_ak
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2 Followers 50 FollowingMert R. Sabuncu 🤖�.. @mertrory
5K Followers 832 Following AI for Medical Imaging|Prof @Cornell_tech @CornellECE|Vice Chair of AI&Eng Research @WCMRadiology|Cofounder @MLIMWebinar @MELBAJournal|Ex @EPrinceton @MIT_CSAILYann LeCun @ylecun
712K Followers 719 Following Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.Lena Maier-Hein @lena_maierhein
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2K Followers 1K Following KCL Senior lecturer. Geometric and Explainable Deep Learning, cortical modelling, open science https://t.co/lp7yu4W5oUAndreas K. Maier @maier_ak
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1K Followers 608 Following Faculty @IUMedSchool @IUCompPath @MeRAQI_lab @MLCommons @MELBAjournal Clinically focused #AI #research DadX2 Husband Views my own Alumni:@Penn @KingstonUni @UCLJuan Eugenio Iglesias @JuanEugenioIgl1
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482 Followers 2K Following Biomed Engineering&Imaging Science student Kings College London 🤓 'All stars are born in the dark and all darkness dies in the light' ✨🌌✨Moritz Fuchs @mofuchs1
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4K Followers 2K Following Psychiatry, Genetics, Epidemiology, Precision Medicine. Author of The Other Side of Normal. 3% Neanderthal.Our paper is out at @MELBAJournal! You should check out this amazing journal, which is devoted to publishing free, open-access, high-quality publications!
🚨New publication alert: 📢 “A voxel-level approach to brain age prediction: A method to assess regional brain aging.” 🖊️ @g_nehaa, @MahsaDibaji, @johanna_ospel, F. Vega, @marianapbento, @MEthanMacDonald, @Roberto54034061. 🎯 Authors propose a deep learning-based multitask model…
Proud to announce that Aisha Lawal Shuaibu (one of my PhD supervisees) has had her first paper published in @MELBAJournal! The title is HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration melba-journal.org/papers/2024:00…
Second change to join us in Paris!! ;)
Have you just missed the @midl_conference 2024 paper registration deadline and you still want to go to the conference in Paris? Do you have an amazing manuscript in the pipeline? Consider submitting to MELBA. Accepted papers can be presented at MIDL. Journal -> Conference
@ESYudkowsky You are claiming something exists. As with Bertrand Russell's teapot, the burden of proof is on you. So far, it's just been sci-fi, scary sci-fi, but sci-fi nonetheless. A technology is not unsafe merely because of the possibility of doing it wrong. A technology is safe because…
I am thrilled to join the @MELBAJournal editorial board, and further promote its mission of #OpenScience on #MachineLearning #Innovation for #Biomedical #Imaging, without paywalls. (an advocate for MELBA ever since it was first founded) Thank you for the opportunity!
We are excited to announce that @SpyridonBakas is joining our Executive Board as an Executive Editor. Prof Bakas will be bringing a deep expertise and background in challenges, datasets, and tools that are instrumental for our research community
Placentas are thin, soft, & prone to motion, making them hard to scan when assessing their health & function. A team of researchers incl. #JClinic PI @GollandPolina built a model that improves placenta MRI scans across various stages of pregnancy: melba-journal.org/pdf/2023:017.p…
Happy to share our latest work on shape-aware segmentation has been accepted to @MELBAJournal! In this work, we tackle the challenging problem of segmenting placental volumes in whole-uterus BOLD MRI Time Series.
New publication alert: "Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series." By @MazAbulnaga, N Dey, SI Young, E Pan, KI Hobgood, CJ Wang, PE Grant, E Abaci Turk, P Golland. Free to read: doi.org/10.59275/j.mel…
Honored to join the team! Thanks for having me.
We would like to welcome Xiaoxiao Li (UBC, @XiaoxiaoLi8), Wei Shen (Shanghai Jiao Tong), Yueming Jin (NUS, @JinYueming), and Christian Baumgartner (Tuebingen, @c_f_baumgartner) to our editorial team as associate editors.
This work @MELBAJournal builds upon our previous recycling strategy presented @dgm4miccai. A big shoutout to all reviewers who dedicated their time and shared valuable suggestions to refine the quality and clarity of the paper. ❤️(5/5)
Introducing our latest research on denoising diffusion probabilistic models (DDPM) training and the potential risks of using noised ground truth. We focused on avoiding data leaks during training and reducing inconsistencies between training and inference. 🔍(1/5)
New publication alert: "A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models." By Y Fu @mathpluscode, Y Li, S U Saeed, M J Clarkson, Y Hu. Free to read: doi.org/10.59275/j.mel…
@c_f_baumgartner @MELBAJournal Welcome aboard @c_f_baumgartner! Looking forward to you joining the team.
I'm very honoured to have been selected as an associate editor for MELBA!
We would like to welcome Xiaoxiao Li (UBC, @XiaoxiaoLi8), Wei Shen (Shanghai Jiao Tong), Yueming Jin (NUS, @JinYueming), and Christian Baumgartner (Tuebingen, @c_f_baumgartner) to our editorial team as associate editors.
Welcome Adrian!
It is our pleasure to announce that @AdrianDalca is now an Executive Editor. Prof. Dalca has been an integral member of the MELBA team since our inception and has served as an associate editor and launching editor. We are grateful for the experience, expertise, and knowledge he…
@MELBAJournal @elvisha9 😳😳 exorbitant. This is equivalent to 2 months salary of an Assistant Professor in India. Or you can travel to and fro from India to US!!
$10 is the only reasonable amount to publish PDFs. Charging 300x (or even 1100x) must require added value in the same proportion. Still, can’t imagine what kind of service would cost 11k 🤦♂️
$3,200 as the publication fee is still a lot! Many folks can't really afford this and we believe such high fees are unjustified. At MELBA, our goal is to bring this down to ZERO. Currently, we charge $10 as a submission fee and that's it. And we are fully open access. Consider…
It's a U-Net!
Christopher Nolan's hand drawn map for the plot of the 2010 film ‘Inception’
We are very excited to announce that both #MIDL2023 and #MIDL2024 will feature a journal-to-conference track, in partnership with @MELBAJournal !
Very grateful for the opportunity to present our work at @MICCAI_Society iMIMIC Workshop @mreyesag this year with an oral presentation. Paper will be online soon in @MELBAJournal.