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The ETAI abstract submission system will remain open for a few days past the deadline. We encourage potential participants to submit at their earliest convenience so we can work out the meeting logistics. spie.org/OP110

Mercè IzquierdoSerra Mercè IzquierdoSerra will give an invited presentation to explore the latest advances in #neuroscience and #computationalalgorithms for understanding the complex mechanisms of the human brain. #ETAI2023 #SPIEOpticsPhotoncis

Exciting invited talk by Nuno Araujo on the design of self-folding 3D shells from interconnected panels! Learn about the relation between the structural features of the nets and their folding time and probability of misfolding. Don't miss it at #ETAI2023 #SPIEOpticsPhotonics!

Excited to hear at #ETAI2023 #SPIEOpticsPhotonics from Mark Steyvers (UCI Cognitive Sciences, UCI Social Sciences) about the potential of hybrid human-AI decision-making systems in biomedical applications. Don't miss his invited talk on the promises and pitfalls of AI-assisted decision-making!

Don't miss the invited talk at #ETAI2023 by Julian Moosmann on the innovative use of machinelearning in synchrotron radiation-based X-ray tomography. #SPIEOpticsPhotonics

Exciting invited talk at #ETAI2023 #SPIEOpticsPhotonics by Carlo on data-driven methods for object tracking and analysis in time-lapse microscopy. Machine learning offers remarkable improvements over classical methods, uncovering new insights into cellular interactions.

Looking forward to the invited talk by Yair Rivenson, CEO of Pictor Labs, about their cutting-edge virtual staining technology for pathology and on the future of non-destructive, virtual multiplex tissue platforms for improved healthcare! #ETAI2023 #SPIEOpticsPhotonics

Join us at #ETAI2023 #SPIEOpticsPhotonics for Tijue Wang's invited presentation on their novel end-to-end tumor diagnosis framework using U-Net + EDSR network for resolution enhancement and tumor classification. Don't miss out on this groundbreaking research!

Exciting talk by Francesco Da Ros on the intersection of machine learning and optics! Learn how ML tools can improve data analysis, provide insights on photonics components and subsystems, and optimize optical systems. #SPIEOpticsPhotonics #ETAI2023

Aaron Carass will be joining us at #ETAI2023 to give an invited talk discussing the potential of artificial intelligence in medical imaging.

Rogers F Silva Rogers F Silva will present his research on AI/ML methods for brain data analysis to advance early detection of mental illnesses and personalized treatment prescription at #ETAI2023 #SPIEOpticsPhotonics

Maryellen L. Giger will presented and invited talk on AI research in medical imaging of cancer, brain injuries and COVID-19 at #ETAI2023 #SPIEOpticsPhotonics

Invited talk by Goëry Genty at #ETAI2023 #SPIEOpticsPhotonics Goëry Genty will speak about machine learning applications to ultrafast nonlinear dynamics in optical fibers

Nektarios Koukourakis will present an invited talk on optical diffraction tomography based on AI-driven adaptive optical cell-rotation at #ETAI2023 #SPIEOpticsPhotonics

Natalia Litchinitser (Duke University) will present an exciting invited talk on using machine learning in subwavelength photonic structure design at #ETAI2023 #SPIEOpticsPhotonics

Learn how the image science framework is used by the FDA to evaluate medical imaging devices and their potential to reduce radiation dose to patients. Invited talk by Kyle J Myers at #ETAI2023 #SPIEOpticsPhotonics

Explore the origins of neural networks and neuromorphic hardware with @dbrunner_lab at #ETAI2023 #SPIEOpticsPhotonics. Learn how the computational and economic success of NNs has led to a shift towards physical computing and new challenges.

Discover the future of implantable neural interfaces, transparent interfaces and brain-machine interfaces at the invited talk by Duygu Kuzum at #ETAI2023 #SPIEOpticsPhotonics, including multimodal sensing, on-chip processing, and computational co-design.

Kristina Monakhova @4ierplane will present an invited talk on physics-informed machine learning for computational imaging, from lensless cameras to low light videography at #ETAI2023 #SPIEOpticsPhotonics

#SPIEOpticsPhotonics invites you to submit abstracts for the Emerging Topics in Artificial Intelligence (ETAI) 2024 conference on AI applications in photonics, microscopy, active matter, biomedicine, and brain connectivity! Abstract due: February 7 Link: tinyurl.com/3n9y76dh