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IEEE EMB and ACM Baltimore Meeting: a Seminar on Deep Learning Algorithms for Chest Radiography Analysis
April 17 @ 5:15 PM - 7:30 PM EDT
The (https://www.embs.org) (https://site.ieee.org/baltimore/) and (https://baltimore.acm.org) cordially invite you to attend our upcoming seminar!
Chest radiography image analysis for thoracic (chest region) disease detection has been an active area of research in the last decade. Our distinguished guest speaker, Dr. Taufiq Hasan, Bangladesh University of Engineering and Technology (BUET), will delve into the challenges of domain generalization, anatomy awareness, and image superposition in chest X-ray imaging. He will discuss the recent advances in deep learning models in this domain and share his team's recent research findings that address these specific challenges.
Furthermore, the seminar will provide you with an opportunity to network, meet, and interact with the speaker and other attendees to expand your knowledge and network. The meeting will be held at Johns Hopkins University Applied Physics Laboratory (JHU/APL) Building 201 (201-117), located at 11091 Johns Hopkins Road, Laurel, MD 20723. What you need to know before coming to APL, (https://www.jhuapl.edu/about/visiting-apl)
Co-sponsored by: IEEE Engineering in Medicine and Biology (EMB) Society & Association for Computing Machinery (ACM) Baltimore Chapter
Speaker(s): Dr. Taufiq Hasan,
Agenda:
In-Person Attendance Only!
5:15 pm – Registration, Refreshments, Networking
5:45 pm – Welcome and Introduction
6:00 pm – Presentation, Dr. Taufiq Hasan "Advancements in Chest Radiograph Image Analysis: Deep Learning Models Addressing Domain Generalization, Anatomy-awareness, and Image Superimposition"
7:00 pm – Group Picture, Networking
7:30 pm – Adjourn
Bldg: JHU/APL, 201-117, Johns Hopkins University Applied Physics Laboratory (JHU/APL), 11091 Johns Hopkins Road, Laurel, Maryland, United States, 20723