Archive

Neural Interface Technologies for Monitoring and Manipulating Brain Activities

Abstract In this talk, I will review the evolution of Michigan neural probe technologies toward scaling up the number of recording sites, enhancing the recording reliability, and integrating optical stimulation capability for optogenetic studies. We investigated scaling of probe geometry […]

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Development of Ultra-sensible Fibers for Future Textile Electronics

Abstract Electronic textile (E-textile) where various electronic elements are integrated on fabrics have received tremendous attention for advanced wearable and flexible devices which are considered as the next generation technologies. Especially, textile-based applications such as pressure sensors and strain sensors […]

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Bio-integrated Electronics for the Human

Abstract Conventional robotic technologies hold many promises to advance disease diagnosis and therapeutic research by enabling precise sensing and actuation in a small scale, leading to implantable, portable, or even wearable biomedical systems. These modern medical devices interfaced with our […]

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Magnetically Actuated Microrobots for Targeted Therapeutics

Abstract Targeted therapies have emerged as a promising new biomedical treatment since they can be used to transport drugs to specific areas such as tumors and then treat the targeted area for an appropriate length of time [1-5]. These therapies […]

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Introduction to Lab on a Chip for Medical Application

Abstract As the study of a human body or an organism is conducted in the field of proteomics, it is seen that an understanding of proteins is necessary prior to any particular study. However, the task of studying proteins is […]

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Towards High Density Polymer Neural Probe Arrays

Abstract Reliable chronic electrophysiological recordings remain elusive due to persistent biological failure affecting the electrode-tissue interface.  While large scale recordings (>100 channels) have been demonstrated using microwire and silicon-based intracortical electrodes, the rigidity of such construction risks further damage to […]

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Generating Content-aware Perspective Videos for Comfortable 360° Video Watching

Abstract To watch 360˚ videos on normal two-dimensional (2D) displays, we not only need to select the specific region we want to watch (known as the viewpoint selection step) but also need to project the selected part of the 360˚ […]

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360° Panorama Image Processing

Abstract With the recent advent of 360° cameras, spherical panorama images are becoming more popular and widely available. In this talk, I will begin with my recent result on upright adjustment of 360° spherical panoramas. In a spherical panorama, alignment […]

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Recent Results in Image Deblurring

Abstract One goal in computational photography is to overcome limitations of traditional cameras such as blur. Blur, which is one of the most annoying artifacts in photographs, is caused by long exposure time or lens aberration. Deblurring is a problem […]

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Learning with Minimum Supervision for Semantic Segmentation

Abstract Semantic segmentation is a visual recognition task aiming to estimate pixel-level class labels in images. This problem has been recently handled by Deep Convolutional Neural Networks (DCNNs), and the state of the art based on DCNNs achieve impressive records […]

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