Zobrazeno 1 - 10
of 178
pro vyhledávání: '"FAHIM, MOHAMMAD"'
Autor:
Ramanarayanan, Sriprabha, Fahim, Mohammad Al, S., Rahul G., Jethi, Amrit Kumar, Ram, Keerthi, Sivaprakasam, Mohanasankar
Parallel imaging, a fast MRI technique, involves dynamic adjustments based on the configuration i.e. number, positioning, and sensitivity of the coils with respect to the anatomy under study. Conventional deep learning-based image reconstruction mode
Externí odkaz:
http://arxiv.org/abs/2308.04821
Many segmentation networks have been proposed for 3D volumetric segmentation of tumors and organs at risk. Hospitals and clinical institutions seek to accelerate and minimize the efforts of specialists in image segmentation. Still, in case of errors
Externí odkaz:
http://arxiv.org/abs/2308.05068
Autor:
S., Rahul G., Ramnarayanan, Sriprabha, Fahim, Mohammad Al, Ram, Keerthi, P, Preejith S., Sivaprakasam, Mohanasankar
Transformers have emerged as viable alternatives to convolutional neural networks owing to their ability to learn non-local region relationships in the spatial domain. The self-attention mechanism of the transformer enables transformers to capture lo
Externí odkaz:
http://arxiv.org/abs/2308.04262
Autor:
Gayathri, Matcha Naga, Ramanarayanan, Sriprabha, Fahim, Mohammad Al, S, Rahul G, Ram, Keerthi, Sivaprakasam, Mohanasankar
Deep cascaded architectures for magnetic resonance imaging (MRI) acceleration have shown remarkable success in providing high-quality reconstruction. However, as the number of cascades increases, the improvements in reconstruction tend to become marg
Externí odkaz:
http://arxiv.org/abs/2304.05057
Autor:
Fahim, Mohammad Al, Ramanarayanan, Sriprabha, Rahul, G.S., Gayathri, Matcha Naga, Sarkar, Arunima, Ram, Keerthi, Sivaprakasam, Mohanasankar
Publikováno v:
In Image and Vision Computing October 2024 150
Autor:
Roy, Priyanka1,2 (AUTHOR) priyanka03.1802008@std.hstu.ac.bd, Srijon, Fahim Mohammad Sadique1 (AUTHOR), Bhowmik, Pankaj1 (AUTHOR)
Publikováno v:
PLoS ONE. 9/27/2024, Vol. 19 Issue 9, p1-21. 21p.
Akademický článek
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Autor:
Fahim, Mohammad, Cadambe, Viveck R.
We study the numerical stability of polynomial based encoding methods, which has emerged to be a powerful class of techniques for providing straggler and fault tolerance in the area of coded computing. Our contributions are as follows: 1) We construc
Externí odkaz:
http://arxiv.org/abs/1903.08326
Autor:
Dutta, Sanghamitra, Fahim, Mohammad, Haddadpour, Farzin, Jeong, Haewon, Cadambe, Viveck, Grover, Pulkit
We provide novel coded computation strategies for distributed matrix-matrix products that outperform the recent "Polynomial code" constructions in recovery threshold, i.e., the required number of successful workers. When $m$-th fraction of each matri
Externí odkaz:
http://arxiv.org/abs/1801.10292
Autor:
Fahim, Mohammad, Cadambe, Viveck
We consider a two-unicast-$Z$ network over a directed acyclic graph of unit capacitated edges; the two-unicast-$Z$ network is a special case of two-unicast networks where one of the destinations has apriori side information of the unwanted (interferi
Externí odkaz:
http://arxiv.org/abs/1705.02704