Abstract: Objective: Accurate visualization of interventional devices, such as medical needles, in relation to the procedural target is critical for the safe and effective guidance of interventional ...
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...
Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
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