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DTSTAMP:20261007T150423
DTSTART;TZID=America/Detroit:20261014T160000
DTEND;TZID=America/Detroit:20261014T170000
SUMMARY:Workshop / Seminar:CCMB/DCMB Weekly Bioinformatics Seminar Series featuring Luis Zaman\, PhD (Assistant Professor of Complex Systems and  EEB\, U-M)
DESCRIPTION:Dr. Luis Zaman’s research spans several disciplines to answer fundamental questions about how evolution works. While he often approaches questions from an experimentalist’s perspective\, work in his lab relies on a mixture of computational\, mathematical\, and microbial systems. He is predominantly drawn to understanding host-parasite coevolution because the constant push-and-pull of antagonistic interactions emphasizes the dynamic and interdependent nature of biological evolution. These antagonistic interactions have been implicated in large-scale evolutionary patterns\, such as diversification\, sexual reproduction\, and increasing organismal complexity. How coevolution is further influenced by such large-scale patterns presents problems that orient the lab’s long-term goals.
UID:150652-21909760@events.umich.edu
URL:https://events.umich.edu/event/150652
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Basic Science,Bioinformatics,Biology,Evolutionary Biology
LOCATION:Medical Science Unit I - 4B700
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261001T140744
DTSTART;TZID=America/Detroit:20261105T120000
DTEND;TZID=America/Detroit:20261105T130000
SUMMARY:Workshop / Seminar:DCMB Tools and Technology Seminar by Binh Duong Giap (Ophthalmology & Visual Sciences)
DESCRIPTION:Join us for the DCMB Tools & Technology Seminar Series featuring a presentation by Binh Duong Giap from the Department of Ophthalmology & Visual Sciences. Enjoy a complimentary pizza lunch while learning about innovative research and cutting-edge tools.\n\n“Advancing Cataract Surgery Analytics with AI: Pupil Segmentation and Surgical Skill Metrics”\n\nAbstract:  \nThe growing availability of surgical video data creates opportunities to develop computational tools for automated analysis of surgical procedures. In cataract surgery\, quantitative analysis of intraoperative videos can support research\, surgical training\, and objective assessment of surgical performance. However\, extracting reliable visual features from surgical videos remains challenging due to instrument occlusion\, lighting variations\, and complex surgical motion.\n\nIn this seminar\, I will present a computational framework for automated analysis of cataract surgery videos. First\, I introduce tensor-based feature extraction methods for robust pupil recognition and segmentation during surgery. These methods enable reliable detection of pupil structures under challenging intraoperative conditions. I will also present CatSkill\, an AI-based system that analyzes surgical videos to derive quantitative metrics for assessing surgical skill. Together\, these approaches demonstrate how computer vision and machine learning can enable objective analysis of surgical videos and support the development of data-driven tools for ophthalmic surgery.
UID:153174-21915255@events.umich.edu
URL:https://events.umich.edu/event/153174
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Basic Science,Bioinformatics,Biology,Life Science
LOCATION:Medical Science Unit I - 4B700
CONTACT:
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