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BISP TC Webinar

10 Dec

SPS BISP TC Webinar: Federated Learning in The Age of Foundation Models

Date: 10 December 2024
Time: 12:00 PM ET (New York Time)
Presenter(s): Dr. Ziyue Xu

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14 Feb

SPS BISP TC Webinar: CSR-PERT: Joint Framework for MRI and HARDI Data Reconstruction Using Perturbed Radial Trajectory Estimated from Compressively Sensed Measurements

Date: 14 February 2023
Time: 3:00 PM (Central European Time (CET))
Full webinar details

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Webinar Video
06 Dec

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SPS BISP TC Webinar

BISP TC Webinar: 6 December 2022, Dr. Borbála Hunyadi

Date: 6 December 2022
Time: 3:00 PM (Central European Time (CET))
Title: Artificial Intelligence for Applications in Neurology
Registration | Full webinar details

21 Dec

SPS ASI Webinar: 21 December 2022, by Karl Friston

Date: 21 December 2022
Time: 8:00 AM (PST) | 5:00 PM (CET)
Title: Active Inference
Full webinar details

30 Nov

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SPS BISP TC Webinar

SPS ASI Webinar: 30 November 2022, Dr. Nikil Dutt

Date: 30 November 2022
Time: 8:00 AM (PST)
Title: Computational Self-awareness and Self-organization: A Paradigm for Building Adaptive, Resilient Computing Platforms
Full webinar details

02 Nov

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SPS BISP TC Webinar

BISP TC Webinar: 2 November 2022, Dr. Justin Dauwels

Date: 2 November 2022
Time: 3:00 PM (Central European Time (CET))
Title: Artificial Intelligence for Applications in Neurology
Registration | Full webinar details

04 Oct

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SPS BISP TC Webinar

BISP TC Webinar: 4 October 2022, Dr. Selin Aviyente

Date: October 4, 2022
Time: 4:00 PM (Central European Time (CET))
Title: Multi-Frequency Functional Connectivity Networks of the Brain
Registration | Full webinar details

05 Jul

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SPS BISP TC Webinar

BISP TC Webinar: Dr. Michael Unser

Date: July 5, 2022
Time: 4:00 PM (Central European Time (CET))
Title: Splines and Imaging: From Compressed Sensing to Neural Nets
Registration | Full webinar details

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Webinar video

Upcoming SPS BISP TC Webinar: 7 June 2022, by Dr. Baiying Lei

June 2022
Technical Committee News

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SPS BISP TC Webinar

Neuro-imaging is safe and non-invasive, which is widely used in the early diagnosis and prediction of Alzheimer's disease, Parkinson's disease, Autism and other brain diseases. With the rapid development of intelligent computing technology, it is possible to use neuro-imaging data for intelligent diagnosis of brain diseases.

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