Lecture: Cone-Beam Computed Tomography for the Evaluation of Craniofacial Variation and Dysmorphology by Denise Liberton, Ph.D. on 7/24/18

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Cone-Beam Computed Tomography for the Evaluation of Craniofacial Variation and Dysmorphology Brown Bag Lecture by Denise Liberton, Ph.D. | 7/24/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: Cone-beam computed tomography (CBCT) is an increasingly common three-dimensional imaging modality used in dental clinics to evaluate the skull – due to its low

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Lecture: Face off: Neural networks versus Logistic regression for patient readmission prediction by Ahmed Allam, Ph.D. on 7/17/18

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Neural networks versus Logistic regression for patient readmission prediction Brown Bag Lecture by Ahmed Allam, Ph.D. | 7/17/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: Research question: Can neural network models utilizing patients’ history in large administrative dataset outperform logistic regression for predicting 30 days all-cause readmission after discharge from a

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Lecture: Monitoring Clinical Depressive Symptoms in Social Media by Amir Yazdavar on 7/10/18

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Monitoring Clinical Depressive Symptoms in Social Media Brown Bag Lecture by Amir Yazdavar | 7/10/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: With the rise of social media, millions of people express their moods, feelings and daily struggles with mental health issues routinely on social media platforms like Twitter. Unlike traditional observational

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Lecture: Fundus Image Analysis for Glaucoma Using Deep Learning and Blood Vessel Information by Jongwoo Kim, Ph.D. on 6/12/18

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Fundus Image Analysis for Glaucoma Using Deep Learning and Blood Vessel Information Brown Bag Lecture by Jongwoo Kim, Ph.D. | 6/12/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: Glaucoma is a serious disease caused by damage to the optic nerve, resulting in vision loss. Increased pressure in the eye and/or loss

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Lecture: Multiplex Imaging of the Immune System to Better Understand Tissue Homeostasis, Host Defense, and the Response to Tumors by Ronald Germain Ph.D. on 6/5/18

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Multiplex Imaging of the Immune System to Better Understand Tissue Homeostasis, Host Defense, and the Response to Tumors Brown Bag Lecture by Ronald Germain, Ph.D. | 6/5/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: The immune system is not only crucial for protection against infectious agents, but also plays a key role

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Lecture: Automated parasite detection in thick blood smears, A deep learning approach by Feng Yang, Ph.D. on 5/15/18

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Automated parasite detection in thick blood smears, A deep learning approach Brown Bag Lecture by Feng Yang, Ph.D. | 5/15/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: We investigate the problem of automated parasite detection in thick blood smear images for malaria detection. We propose a framework consisting of two steps: screening

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Lecture: RCDC Text Mining and Indexing for Categorization by Richard Ikeda, Ph.D. and Jake Scholl, M.S. on 5/1/18

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RCDC Text Mining and Indexing for Categorization Brown Bag Lecture by Richard Ikeda, Ph.D. and Jake Scholl, M.S. | 5/1/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: The Research, Condition, and Disease Categorization (RCDC) system was developed as a requirement of the NIH Reform Act of 2006 to uniformly code research activities

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Lecture: Multipanel Figure Segmentation for Better Retrieval, A Deep Learning Approach by Dr. Jie Zou on 4/17/18

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Multipanel Figure Segmentation for Better Retrieval, A Deep Learning Approach Brown Bag Lecture by Dr. Jie Zou | 4/17/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: Visual question answering systems require precise figure image content indexing. For multi-panel figures, it is critical to associate panels to metadata for which figure segmentation,

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Lecture: Deep Learning for Malaria Screening by Dr. Sivarama Krishnan Rajaraman on 3/20/18

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Deep Learning for Malaria Screening Brown Bag Lecture by Dr. Sivarama Krishnan Rajaraman | 3/20/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A Abstract: Conventionally, computer-aided diagnosis methods applied to microscopic images of blood smears have used handcrafted features that demand expertise in processing techniques. These are designed to capture morphological, textural and

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