This valuable study introduces a new framework for improving the automated sorting of extracellular action potentials. However, the evidence is incomplete; the biophysical model used for simulation is ...
Abstract: Theorem proving demonstrates promising potential for verifying problems beyond the capabilities of SMT-solver-based verification tools. We explore and showcase the capability of Lean, an ...
TL;DR NILUT uses neural representations for controllable photorealistic image enhancement. 🚀 Demo Tutorial and pretrained models available. Try it on colab! 3D lookup tables (3D LUTs) are a key ...
Modern high field and ultra high field magnetic resonance imaging (MRI) experiments routinely collect multi-dimensional data with high spatial resolution, whether multi-parametric structural, ...
The project provides the official PyTorch implementation with pretrained models for the paper "Image-adaptive 3D Lookup Tables for Real-time Image Enhancement with Bilateral Grids" (accepted by ECCV ...
Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an application of MRI that ...
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