Dr. Mehmet Akcakaya University of Minnesota, USA Date/Time: Tuesday, 26 March 2024, 17:30-18:30 (Time in Türkiye) Zoom Link: https://zoom.us/j/94655579979 Abstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-noise ratio. Thus, reconstruction and acquisition techniques for rapid imaging, noise reduction and improved data acquisition have received great interest. Each of […]
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Happy to share our latest paper titled “Graph Receptive Transformer Encoder (GRTE) for Text Classification” published in IEEE Transactions on Signal and Information Processing over Networks! Our novel approach combines graph neural networks (GNNs) with large-scale pre-trained models to address limitations in attention mechanisms of transformers for text classification. GRTE retrieves global and contextual information […]
Read More Dr. Siyuan Zhao Date: February 8, 2024 Time: 16.30 Place: Zoom https://zoom.us/j/3750698016?pwd=YXhhNWNsUHBCdXJvMWI0R201ZGo0QT09&omn=92639551011 Zoom ID: 375 069 8016 Pass: 505709 Abstract: Stably recording the electrical activity of the same neurons across all relevant timescales is important for understanding the neural activity associated with memory and aging, enhancing brain-computer interface performance, and investigating neurological disorders. However, current implantable devices cannot provide stable recordings over long […]
Read More Dr. Meltem Karataş Date: December 12, 2023 Time: 16.30 Place: UMRAM, SC106 Abstract: Translational studies, primarily involving rodent models, have been the mainstay of biomedical sciences. Rodent experiments allow understanding of physiological processes, deciphering pathological mechanisms, and aiding the development of novel therapeutic strategies. Among others, magnetic resonance imaging constitutes an invaluable tool for translation, as it is […]
Read More Mariya Doneva, Ph.D. Philips Research, Germany Date/Time: Thursday, Nov 23rd, 2023, at 17:30PM Zoom Link: https://zoom.us/j/98924400569 Abstract: Over the past two decades, the significance of MR image reconstruction has tremendously increased, enabling reduced scan time, improved image quality, and extraction of additional information from the measured data. During this period, MRI has witnessed extensive developments in advanced computational […]
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