Chen (Cherise) Chen
Lecturer in Computer Vision at University of Sheffield | Robust&Trustworthy AI for healthcare
https://cherise215.github.io/
@shefcmi.bsky.social
Creating a better future through AI-driven research, innovation and education at the University of Sheffield. www.sheffield.ac.uk/machine-intelligence
@melanieganzben1.bsky.social
Associate prof at DIKU UCPH; Researcher at NRU Rigshospitalet; interested in neuroimaging, MRI/PET, data sharing/BIDS, motion correction, bias and fairness in ML
@nalinimsingh.bsky.social
Postdoc at UC Berkeley working on machine learning for inverse imaging problems.
@rdoerfel.bsky.social
Interested in aging, neuroimaging, and machine learning. PhD student at Karolinska Institutet, NRU Rigshospitalet, and DIKU UCPH
@fepegar.com
Senior research machine learning engineer at Microsoft Research Health Futures. PhD in Medical Imaging. Open source & open access. Created TorchIO. He/him.
@mristam.bsky.social
Neuroimager @SPMIC-UoN.bsky.social Professor @uniofnottingham.bsky.social Brain MRI methods developer. Father of two. https://conilab.nottingham.ac.uk
@neurofidelity.bsky.social
DPhil in Brain Image Analysis. University of Oxford (@FMRIB & @uk_biobank). Artificially Intelligent. Spaniard. Person. Opinions are my own. https://t.co/qAaMCUuH0q
@aprilkhademi.bsky.social
Canada Research Chair in AI for Medical Imaging. Image Analysis in Medicine Lab @TorontoMet @UofTMedIm @VectorInst @UofT_TCAIREM @UnityHealthTO @iBESTResearch. https://www.torontomu.ca/akhademi/
@cianmscannell.bsky.social
Assistant Professor in Medical Image Analysis at Eindhoven University of Technology. From Cork, Ireland. https://cianmscannell.github.io
@eadeli.bsky.social
Assistant Prof at Stanford, Director of Stanford Translational AI (STAI) Lab Computer Vision, Computational Neuroscience
@ivorsimpson.bsky.social
Associate Professor in AI and academic lead for SussexAI. Bayesian ML for medical imaging, computer vision & environmental monitoring.
@siawooshmr.bsky.social
Physicist | MRI, biophysics, microstructure, in/ex vivo histology | Prof. @uniluebeck.bsky.social, PI @UKEhamburg, affiliated @lipmpib.bsky.social, @mpicbs.bsky.social | Views are my own https://www.micromri.uni-luebeck.de/institut
@bttyeo.bsky.social
Brain imaging, machine learning, neuroscience, mental disorders https://sites.google.com/view/yeolab
@konradwagstyl.bsky.social
Neuroscientist | MELD project | Neuroimaging | Epilepsy | Development
@moritzknolle.bsky.social
Researching trustworthy and privacy-preserving AI for Medicine @TUM
@hongweilibran.bsky.social
working on machine learning and medical imaging @Martinos center, MGH, HMS
@doerrichs.bsky.social
PhD Candidat at xAILab Bamberg 📚 | Exploring Robust Deep Learning for Medical Applications 🏥 | Coffee Addict ☕️ | Always Curious, Forever Learning 🎓 | ⚽️🥾
@schodani.bsky.social
Medical image analysis with generative AI and representation learning, mainly in the brain. PhD candidate @ TUM with Daniel Rueckert and Bene Wiestler.
@vlontzos.bsky.social
Causal ML Research @ Spotify - Causality in ML and Medical Imaging @ Imperial College London Formerly: Leading AI @ Zeit Medical
@xiwang-sch.bsky.social
Researcher in NLP/IR at the University of Sheffield, Research interests include Conversational AI, RAG and other topics among NLP/IR.
@midl-conference.bsky.social
Conference for deep learning methods for medical image analysis, bringing clinicians, researchers and industry together for in depth discussion and exchange of ideas
@variint.bsky.social
Lost in translation | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io
@marazulv.bsky.social
Assistant Professor in ML @EURECOM 🇫🇷 | Visiting Senior Lecturer @King's College London 🇬🇧
@cfbaumgartner.bsky.social
Assistant Professor Uni Lucerne studying AI for medical data analysis (http://mlmia-unitue.de) 🤖👩⚕️
@stefanpsz.bsky.social
Computer Scientist. Researcher on Medical Image Analysis. Dad. He/His. 🇨🇱 in 🇬🇧
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@metricsemma.bsky.social
Cortical surface modelling and interpretable/explainable #AI, geometric deep learning #neuroscience. Open science: HCP, dhcp, UKBiobank
@bernhardkainz.bsky.social
2xDad, DL practitioner, real-time computing fanatic, Prof. at AIBE, FAU Erlangen, Reader at DoC, Imperial College London, advisor at ThinkSono, former chef
@ja-schnabel.bsky.social
Prof HelmholtzMunich TUM King’s XRnostics #MICCAI2024 ML in Biomedical Imaging - posts my own linkedin.com/in/juliaschnabel
@jelmerwolterink.bsky.social
Associate prof @ University of Twente. Machine learning in medical imaging
@lisakoch.bsky.social
Assistant professor at the University of Bern, Switzerland. Head of the Machine learning in Medicine Lab (www.mlm-lab.ch), special focus on trustworthy AI and data science in diabetes care.
@danielrueckert.bsky.social
Prof at TUM and Imperial College London. Doing research on AI in healthcare and medicine
@bsky.app
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