Search results
Enter terms
553 results found.
Section: Events
Date: 13 February 2025
Time: 7:30 AM ET (New York Time)
Presenter(s): Dr. Ran He
Section: Events
Submission Deadline: 14 March 2025
Section: Events
Date: 27-28 March 2025 & 2 April 2025
Chapter: Kerala
Chapter Chair: Reshna S.
Title: Neuroimaging data analysis and fusion Matrix and Tensor Factorizations for Neuroimaging Data Analysis
Fusion Data-driven Research in Computational Neuroscience: Challenges and Opportunities
Section: Events
Date: 20 January 2025
Chapter: Italy Chapter
Chapter Chair: Enrico Magli
Title: Diffusion Models: Signal Processing Perspective
Section: Events
Date: 27 June 2024
Chapter: Tokyo Chapter
Chapter Chair: Nobutaka Ono
Title: Interpretable Convolutional NNs and Graph CNNs: Role of Domain Knowledge
Section: Events
Date: 16 July 2024
Chapter: Sendai Chapter
Chapter Chair: Yukio Iwaya
Title: Machine Intelligence for eHealth: Hearables for 24/7 Doctorless Hospitals?
Section: Events
Date: 17 July 2024
Chapter: Kansai Chapter
Chapter Chair: Satoshi Nakamura
Title: Interpretable Convolutional NNs and Graph CNNs: Role of Domain Knowledge
Section: Publications & Resources
Midia Yousefi is a distinguished Senior Research Scientist within the Cloud and AI division at Microsoft, where she is actively engaged in a spectrum of research initiatives pertaining to audio and speech technologies.
The Signal Processing Research Centre of Tampere University is looking for a tenure track-professor (assistant/associate/full) to join its team of world-class experts. Please see the full description and apply here.
Section: Publications & Resources
Publication: IEEE Transactions on Computational Imaging
Accurately imaging bones using ultrasound has been a long-standing challenge, primarily due to the high attenuation, significant acoustic impedance contrast at cortical boundaries, and the unknown distribution of sound velocity. Furthermore, two-dimensional (2-D) ultrasound bone imaging has limitations in diagnosing osteoporosis from a morphological perspective, as it lacks stereoscopic spatial information.
