no code implementations • 25 Jul 2023 • Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunović
In the field of medical imaging, 3D deep learning models play a crucial role in building powerful predictive models of disease progression.
1 code implementation • 13 Jul 2023 • Marzieh Oghbaie, Teresa Araujo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Consequently, the accumulated positional information in each positional embedding can be generalized to the neighbouring slices, even for high-resolution volumes at the test time.
no code implementations • 29 Dec 2021 • Arian Sabaghi, Marzieh Oghbaie, Kooshan Hashemifard, Mohammad Akbari
Hence, a new research area dealing with the development of more generalized as well as accurate models is increasingly attracting the attention of the research community and industry.
no code implementations • 15 Oct 2021 • Marzieh Oghbaie, Arian Sabaghi, Kooshan Hashemifard, Mohammad Akbari
Driven by deep learning techniques and large-scale datasets, recent years have witnessed a paradigm shift in automatic lip reading.