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UMRAM Seminer: ”Displacement Spectrum Imaging with MRI”

Hibrit Seminer: Canlı olarak Zoom’da ve aynı zamanda UMRAM Seminer Odasında   Zoom Link:  https://zoom.us/j/3750698016?pwd=Vk14RndrYnRBYkJQT0Y1bW5hWFpXUT09 ID: 375 069 8016 Pass: 086558 Tarih/Zaman: Cuma, 3 Haziran 2022, 13:30-14:30   Konuşmacı: Ekin Karaşan, PhD Candidate, University of California, Berkeley Özet: Displacement Spectrum Imaging (DiSpect) is a new method for probing complex tissue dynamics such as blood flow, diffusion and […]

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UMRAM/ASBAM Bahar 2022 Seminerleri: “Data driven interference in diffusion MRI: Deep learning harmonization of quantitative brain biomarkers”

Professor Bennett A. Landman Vanderbilt University   Tarih/Zaman: Tuesday, April 26th, 4:00 pm Zoom Meeting ID: 914 5092 0667 (Passcode: 896970) https://zoom.us/j/91450920667?pwd=VjlFc1pSRXliaGdmZzJIS2xqNEFyUT09   Özet: Diffusion-weighted magnetic resonance imaging (DW-MRI) has been included in many national-scale studies. Yet, quantitative investigation of DW-MRI data is hindered by a lack of consistency. I will discuss successful applications of deep […]

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UMRAM/ASBAM Bahar 2022 Seminerleri: “Learning Regularizers for Image Reconstruction”

Dr. Saiprasad Ravishankar Michigan State University Tarih/Saat: Friday, March 25th, 4:30 pm Zoom Meeting ID: 945 8994 6946 (Passcode: 896970) https://zoom.us/j/94589946946?pwd=MDJtU0R6RXhUdk1kU2hTUG1CSWNydz09 Özet: In this talk, we present approaches for learning sparsity-based and deep neural network-based regularizers for inverse problems in imaging. Our methods allow learning robust models from very limited training data. We will first […]

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UMRAM/ASBAM Bahar 2022 Seminerleri: ”MR Image Reconstruction: From Compressed Sensing to Deep Learning”

Prof. Florian Knoll Friedrich-Alexander University Erlangen-Nuremberg Tarih/Saat: Cuma, 4 Şubat, 12:30 Zoom Meeting ID: 941 2666 3216 (Passcode: 896970) https://zoom.us/j/94126663216?pwd=ZWI1aER4YnBJN2tmbjFPeXRiYXlIQT09 Özet: Recent developments in deep learning, as well as widespread access to powerful computing resources and large datasets, have the potential to change the way medical imaging is performed. Building on the frameworks of inverse problems, variational […]

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UMRAM/ASBAM Güz 2021 Seminerleri: “Towards Solving the Hard Problem of Consciousness: The Varieties of Brain Resonances and the Conscious Experiences that they Support”

Prof. Stephen Grossberg Boston Üniversitesi   Tarih/Zaman: Salı, 26 Ekim, 17:30 Zoom Meeting ID: 917 6288 9212 (Passcode: 896970) https://zoom.us/j/91762889212?pwd=bDhvaG5sQTQxQVpuZnE5MHhKRDFtQT09   Konuşmacı hakkında: Stephen Grossberg is Wang Professor of Cognitive and Neural Systems; Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering; and Director of the Center for Adaptive Systems at […]

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