First in person meeting of QSA staff! Arman Eshaghi Frederik Barkhof Ravì Daniele

📣 The New #SpecialIssue "Immersive #Teleoperation and #AI", is open for submission now. 👉Please visit the link for details mdpi.com/journal/roboti… #VR #AR #3Dvision #roboticteleoperation University of Hertfordshire UniSalento Robotics MDPI MDPI Engineering MDPI

Are you curious to know how AI can identify scans with artefacts from a large dataset? Have a look at our pre-print work for automatic quality control of brain MRI using adversarial training arxiv.org/abs/2206.03359

"DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification" has been accepted at the "Medical Imaging with Deep Learning" conf. pre-print here arxiv.org/abs/2302.13057 #MIDL2023 #medicalimaging Frederik Barkhof Parker Ravì Daniele Arman Eshaghi Lemuel Puglisi

🎉 Our paper "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge" has been early accepted at #MICCAI2024! Preprint: arxiv.org/abs/2405.03328 Case studies: youtu.be/6YKz2MNM4jg?si… Ravì Daniele

I'm pleased to announce that our paper "TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI" has been accepted at MICCAI 2024, a top medical imaging conference. Sebastiano Battiato Mattia Litrico Ravì Daniele #MICCAI #MICCAI2024

Having given talks on LDMs all last week in Korea, I'm totally blown away by this new Generative AI paper [1] (sent to me by Tamoghna Chattopadhyay - thank you!). Puglisi et al. train an LDM* [2] to age-progress brain MRI scans, learning a controllable generative distribution

Dr Daniele Raví Ravì Daniele delivered a talk on "Revolutionising Medical Imaging using Generative Models" in the 27th BMVA Computer Vision Summer School at Durham University Comp Sci @ Durham