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Computer Aided Diagnosis Systems For Infectious Diseases Essay

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Dr. Bagci has published numerous studies in informatics of radiology spanning from development of computer aided diagnosis systems for infectious diseases to general image analysis techniques in MRI, CT, PET, and histology images, and development of image enhancement and reconstruction methods both in clinical, pre-clinical, and technical fields [11-65]. His works appeared in top-tier journals such as Nature Communications, IEEE Transactions on Medical Imaging, Journal of Virology, Journal of Pathology, and MICCAI. Related to tasks of specific aim 2 and 3, Dr. Bagci published two important contributions in the field where he has shown the importance of inhomogeneity correction, denoising, and intensity standardization of MR images and its effects in image segmentation and registration tasks [61, 63]. Similar post-processing framework that were presented in [61, 63] for MR images will be implemented in Task 2-1. A representative MR images with the correction steps are illustrated in Figure 2 below.

Figure 2. This figure explains post-processing filtering (ordered) for cleaning MR images prior to any quantification task. First row indicates unprocessed MR images. Second row shows intensity inhomogeneity corrected images corresponding to first row images. Third row denotes intensity standardization as applied to second row (inhomogeneity corrected images).

Diffusion MRI and Fetal Brain Connectome (PI: Dr. Yap)
Dr. Yap has made significant contributions to advancing

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