Computer vision as a subfield of AI has been around for several years dealing with how computers can understand from digital images and video sequences. Advanced computer vision algorithms have already demonstrated successful applications in a variety of domains, including medical image interpretation, remote surgery, surveillance systems, security and biometrics, autonomous vehicles, and scene reconstruction, purposing to name a few. There is a list of fascinating problems in applied computer vision in medical imaging, with object detection and localization being one of the most interesting ones. Object detection and localization is now also widely associated with self-driving cars where automatic systems combine computer vision, LIDAR, and GPUs to generate a multidimensional representation of the road with all its participants. It is also commonly used in medical image analysis, video surveillance and monitoring, counting people for general statistics, and computationally analyze customer experience with walking patterns within shopping centers. In this summer school, you will learn -from scratch- how to use advanced computer vision algorithms to tackle the problem of object detection and localization in medical images. We will discuss object detection mechanism(s) in practice with several hands-on-practices starting from manual image annotation to programming and implementation in Python. We, together, will explore what object detection computational vision algorithm is, what is does, and how. The current mini summer camp at the University of Pittsburgh is structured such that in addition to attending lectures, the students will be also working in teams on a project assignment. Topics included but not limited to: - Introduction to Computer Vision - Introduction to Deep Learning Computer Vision - Deep Convolutional Neural Networks (CNNs) - Introduction to Object Detection and Localization in Computer Vision - Introduction to PyTorch - Manual Annotation of Medical Images using the LabelImg Toolset - Sliding Windows and Bounding Boxes in Object Detection - Non-max Suppression - YOLO (You Only Look Once) and SSD (Single Shot Detector) 25 seats in-person and 25 seats virtual (Zoom) are available on a first-come-first-serve basis. Co-sponsored by: Dr Ahmad Tafti, Pitt HexAI Research Laboratory at the University of Pittsburgh School of Health and Rehabilitation Sciences Speaker(s): Ahmad ***CANCELED*** Agenda: Schedule: Day Time Agendas Monday, July 10th 9:30 – 10:30 Introduction to Computer Vision 10:30 – 10:45 Break 10:45 – 11:45 Introduction to Deep Learning 11:45 – 12:00 Break 12:00 – 13:00 Hands-on-Practice: Google Colab; What and Why? Tuesday, July 11th 9:30 – 10:30 Deep Convolutional Neural Networks (CNNs) 10:30 – 10:45 Break 10:45 – 11:45 Introduction to PyTorch 11:45 – 12:00 Break 12:00 – 13:00 Hands-on-Practice: Medical image annotation (manual annotation) using LabelImg Wednesday, July 12th 9:30 – 10:30 Sliding Windows and Convolutional Implementation of Sliding Windows 10:30 – 10:45 Break 10:45 – 11:45 Bounding Box Prediction and Intersection Over Union (IoU) 11:45 – 12:00 Break 12:00 – 13:00 Hands-on-Practice: OAI Imaging Dataset (https://nda.nih.gov/oai) plus Pizza and soft drinks!!! Thursday, July 13th 9:30 – 10:30 Non-Max Suppression, YOLO (You Only Look Once) and SSD (Single Shot Detector) 10:30 – 10:45 Break 10:45 – 11:45 Hands-on-Practice: Detection and localization of Total Knee Arthroplasty (TKA) implants in plain X-ray images 11:45 – 12:00 Break 12:00 – 12:30 Hands-on-Practice: Model analysis; IoU Friday, July 14th 9:30 – 10:30 · Project Definition and Team Building · Teams will start working on their projects 10:30 – 10:45 Break 10:45 – 11:45 Teams will be working and finalizing their projects 11:45 – 12:00 Break 12:00 – 13:00 Project Presentation and Pizza!!! Bldg: UPMC Shadyside - Floor 1, 5200 Center Avenue, Pittsburgh, Pennsylvania, United States, 15232, Virtual: https://events.vtools.ieee.org/m/413071

You may use the following link to write a summary of any monthly updates from your committee, chapter or affinity group. Information received by 8 AM on WEDNESDAY the week of the event will be incorporated into the meeting agenda. IEEE members can access prior meeting minutes hosted on the Pittsburgh Section's (https://drive.google.com/drive/folders/1_UTt5t_dxNP1M5dO87OOeR25t8P7qQHp?usp=sharing). Access to the shared drive is restricted to the (https://www.ieee.org/membership/products/google-apps.html). Location for this event is DLC Woods Run Building 3 - 2841 Beaver Ave., Pittsburgh, PA 15233. MEETING IS HYBRID. Meeting link and call-in information will be emailed one hour before the event. --------------------------------------------------------------- New to IEEE Pittsburgh? For those new to the Pittsburgh Section Executive and Administrative Meeting, we welcome all IEEE members in the area to attend! This is a standing meeting held on the 3rd Thursday of every month. We review our upcoming activities relevant to engineers in our section. Feel free to use the report link above to ask any questions you may have, join us on Slack, or read through our welcome guide for more information about how you can get involved with IEEE Pittsburgh. (https://ieeepittsburgh.slack.com/) (https://docs.google.com/document/d/1lyWneXlANAQAiJN2p6Bi9kAatooxIQ-YzlGpWRmRGBw/edit?usp=sharing) (https://webinabox.vtools.ieee.org/wibp_calendar/index/R20037) Agenda: First 30 minutes of the event are reserved for socializing. The meeting portion starts at 7 pm (eastern time zone). The meeting agenda will be emailed on Monday the week of the event for early registrants. ** Please register at least ONE WEEK in advance if planning to attend in-person so a guest list can be provided to security. *** Bldg: School of Health and Rehabilitation Sciences, 6030 Forbes Tower, Atwood St. , Pittsburgh, Pennsylvania, United States, 15260, Virtual: https://events.vtools.ieee.org/m/422786

Executive Committee planning meeting for upcoming events. All ExCom's are Virtual. These are open to all members including students. At this time the meeting will be remote. Connection information will be sent out at 3:00pm on the day of the meeting to those who have registered. Please register for the meeting by noon of the day of, even if you are an Officer. We meet on the 3rd Thursday of each month We do not meet July, August, and December. With that in mind the 2024 dates are: Jan 18, Feb 15, Mar 21, Apr 18, May 16, Jun 20, Sep 19, Oct 17, Nov 21 Virtual: https://events.vtools.ieee.org/m/420784