Fwd: FW: MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - JUNE 9, 2021 - 3PM (EST) ---ZOOM

Fri Jun 4 16:49:24 EDT 2021

Can be relevant to those of us who work on medical imaging AI.

Cheers
Artur

---------- Forwarded message ---------
From: Christy Melucci <cmelucci at cs.cmu.edu>
Date: Fri, Jun 4, 2021 at 4:05 PM
Subject: FW: MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - JUNE 9, 2021
- 3PM (EST) ---ZOOM
To: ml-core-faculty at cs.cmu.edu <ml-core-faculty at cs.cmu.edu>,
ml-seminar at cs.cmu.edu <ml-seminar at cs.cmu.edu>
Cc: Visweswaran, Shyam <shv3 at pitt.edu>, bartgm at pitt.edu <bartgm at pitt.edu>,
kayhan at pitt.edu <kayhan at pitt.edu>, Roni Rosenfeld <roni at cs.cmu.edu>

*From:* Bartolotta, Genine M <bartgm at pitt.edu>
*Sent:* Friday, June 4, 2021 3:08 PM
*Cc:* Batmanghelich, Kayhan <kayhan at pitt.edu>; Visweswaran, Shyam <
shv3 at pitt.edu>
*Subject:* MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - JUNE 9, 2021 -
3PM (EST) ---ZOOM

*Machine Learning in Medicine (MLxMed)*

*A Virtual Seminar Series in Pittsburgh*

*Hosted by the Department of Biomedical Informatics*

*Wednesday, June 9, 2021*

*3:00 PM – 4:00 PM Eastern Time University of Pittsburgh, UPMC, and CMU*

*MONAI: Open Science for the Challenges of Medical Imaging AI*

*Zoom **https://pitt.zoom.us/j/92718271398*
<https://pitt.zoom.us/j/92718271398>

*(**details are listed at the end**)*

*Stephen R. Aylward, PhD*

Senior Director of Strategic Initiatives, Kitware

*Abstract: *Open science is an often overlooked yet major contributor to
the recent successes of AI in academia and industry.  Open science
prioritizes reproducible experiments via the sharing of data and algorithms
(software). The Medical Open Network for AI (MONAI, *https://monai.io*
<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmonai.io%2F&data=04%7C01%7Cbond%40pitt.edu%7C13a73894059741a2762108d92526b1fa%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C637581670549869997%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=cnLgKMUTaY2bYI0Lm%2FqxmeQOQDMu23oQiI7jpiVQiN8%3D&reserved=0>)
is an open source platform that prioritizes ease-of-use and reproducibility
in the research, development, and deployment of deep learning applications
for medical imaging.   This talk will describe how the practices of open
science and the capabilities of MONAI can benefit your medical imaging AI
explorations.

*About MLxMed Seminar Series*

*(**http://ml-in-medicine.org/*
<https://nam05.safelinks.protection.outlook.com/?url=http%3A%2F%2Fml-in-medicine.org%2F&data=02%7C01%7Ccafeo%40pitt.edu%7Cfd9284768d884c01352b08d816ea4fa8%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C637284542905912546&sdata=6NKlakpjZ8taWQlU7RklCdS%2F7tDHw6SIhKAfiZYtr8M%3D&reserved=0>
*)*

Medicine is complex and data-driven while discovery and decision making are
increasingly enabled by machine learning. Machine learning has the
potential to support, enable and improve medical discovery and clinical
decision making in areas such as medical imaging, cancer diagnostics,
precision medicine, clinical trials, and electronic health records. This
seminar series focuses on new algorithms, real-world deployment, and future
trends in machine learning in medicine. It will feature prominent
investigators who are developing and applying machine learning to
biomedical discovery and in clinical decision support. For more information
see MLxMed website.

*Zoom Information*

*When: June 9, 2021 - 3:00 PM Eastern Time (US and Canada)*

*Please click the link below to join the webinar:*

*https://pitt.zoom.us/j/92718271398* <https://pitt.zoom.us/j/92718271398>

Or One tap mobile :
    US: *+12678310333,,92718271398#  or 8778535247,,92718271398#* (Toll
Free)

Or Telephone:
    Dial(for higher quality, dial a number based on your current location):

*        US: +1 267 831 0333  or 877 853 5247 (Toll Free) Webinar ID: 927
1827 1398*

    International numbers available: *https://pitt.zoom.us/u/acWWgqZ40P*
<https://pitt.zoom.us/u/acWWgqZ40P>

Or an H.323/SIP room system:
    H.323:
    162.255.37.11 (US West)
    162.255.36.11 (US East)
    115.114.131.7 (India Mumbai)
    115.114.115.7 (India Hyderabad)
    213.19.144.110 (Amsterdam Netherlands)
    213.244.140.110 (Germany)
    103.122.166.55 (Australia Sydney)
    103.122.167.55 (Australia Melbourne)
    149.137.40.110 (Singapore)
    64.211.144.160 (Brazil)
    69.174.57.160 (Canada Toronto)
    65.39.152.160 (Canada Vancouver)
    207.226.132.110 (Japan Tokyo)
    149.137.24.110 (Japan Osaka)

*    Meeting ID: 927 1827 1398     SIP:* *92718271398 at zoomcrc.com*
<92718271398 at zoomcrc.com>

*Genine M. Bartolotta*

*Department Purchasing,*

*Service & Supplier Agreements,*

*License & License Renewals*

*NMVB Administrative & Event Coordinator*

*Manager, Dept. Mailman List Serves*

*Administator for:*

*IT Support & Ticketing System*

*Uma Chandran, PhD, MSIS*

*John R. Gilbertson, MD*

*Songjian Lu, PhD*

*Department of Biomedical Informatics*

*University of Pittsburgh, School of Medicine *

The Offices at Baum, Fourth Floor

5607 Baum Boulevard

Pittsburgh, PA  15206-3701

Phone: (412) 624-5100

Cell Phone: (412) 877-4872

FAX: (412) 648-9118

E-mail: *bartgm at pitt.edu <bartgm at pitt.edu> (preferred)*

             bartolottagm at upmc.edu

*This e-mail may contain confidential information of the sending *

*organization. Any unauthorized or improper disclosure, copying, *

*distribution, or use of the contents of this e-mail and attached *

*document(s) is prohibited.  The information contained in this *

*e-mail and attached document(s)is intended only for the *

*personal and confidential use of the recipient(s) named *

*in original e-mail and attached document(s).*
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