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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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,

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

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