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An interview: Taghi Khaniyev

Dr. Taghi Khaniyev is working on one of the few projects in the world applying modern operations research techniques to the neuroscience domain. With his clinical collaborators from Hacettepe University, Departments of Neurosurgery and Radiology, his goal is to identify optimal resection boundaries in patients with brain tumor which would lead to removing as much […]

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TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging

TranSMS is a model-based transformer architecture that super-resolves system matrix rows for accelerated MPI calibration, while maintaining fidelity to the physical signal model for reliable generalization. Paper: https://lnkd.in/dXUzw6Vw Code: https://lnkd.in/dJvEETVy Abstract: Magnetic particle imaging (MPI) offers exceptional contrast for magnetic nanoparticles (MNP) at high spatio-temporal resolution. A common procedure in MPI starts with a calibration scan to […]

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Task-Dependent Warping of Semantic Representations During Search for Visual Action Categories

  Mo Shahdloo, Emin Çelik, Burcu A. Ürgen, Jack L. Gallant and Tolga Çukur have published a new article titled ”Task-Dependent Warping of Semantic Representations During Search for Visual Action Categories”. From Dr. Tolga Çukur: ”In this collaborative effort with Burcu Ayşen Ürgen, PhD, we report the first evidence for a dynamic attentional mechanism during visual search for action categories, […]

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Named-entity recognition in Turkish legal texts

KocLab’s work on legal named-entity recognition (legal-NER) for Turkish texts is now out at Natural Language Engineering! Computational law, mostly based on natural language processing (NLP) and machine learning, has recently gained significant interest due to the technological improvements, abundance of legal texts, and increasing demand from legal professionals for technology. Computational law is an […]

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The Effects of Respiratory Muscle Training on Resting-State Brain Activity and Thoracic Mobility in Healthy Subjects: A Randomized Controlled Trial

Inspiratory muscle training (IMT) is an effective intervention for improving breath perception. The results of this study showed that IMT enhanced respiratory muscle strength and caused significant brain changes in the DMN and insula networks assessed by RS-fMRI in healthy subjects.   figure1:(Above) DMN activation maps are shown (in neurologic convention) in groups separately before […]

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