5). Deep-learning model training and evaluation was performed on 16 deep-learning-specific NVidia Tesla V100s graphical processing unit (GPU) nodes within a HIPAA-compliant environment. Statistics and reproducibility To quantify differences between categorical clinical features across sites, a Chi-...
MRI scanning was performed using a 3 Tesla device, and the Spinal Cord Toolbox (SCT) was employed for morphometric and diffusivity analyses of the cervical spinal cord. Results Our findings revealed significant spinal cord atrophy and altered white matter microstructural metrics in SCA3 and SCA2 ...
MRI scans were performed on a 1.5 Tesla Achieva MRI scanner (Philips Healthcare, Best, Netherlands). The built-in body coil was used as the transmitter and a standard 8-channel SENSE head coil was used as the receiver. A single-shot spin echo EPI sequence with diffusion weighting gradients...
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def get_customer(customer_id) do case get("/customers/#{customer_id}") do {:ok, %Tesla.Env{status: 200, body: body}} -> {:ok, body} {:ok, %Tesla.Env{body: body}} -> {:error, body} {:error, _} = other -> other end end Although get_customer/1 is not really long in...
pVACtools incorporates all of these key factors identified by the TESLA consortium which likely contributed to the success rate of the vaccines in this trial. A potential shortcoming of pVACtools as used in this trial is the emphasis on MHC class I binding given the importance of CD4 cells in ...
3 Tesla MR OliverWieben, ...Scott B.Reeder, inEuropean Journal of Radiology, 2008 2.4Specific absorption rate (SAR) The use of anRFfield, orB1field, to excite the magnetic spins also has the effect that energy is deposited into the imaged object.Patient safetyguidelines by regulatory agencie...
"Fears of inflation today, and through the future, are valid, and that is why some of the world’s most forward-thinking companies, like Tesla and Square, have invested a portion of their total cash reserve in bitcoin," Patel's plan states. "It is clear that cryptocurrencies have a futu...
(i.e., all vertices on the cortical surface and all voxels in the subcortex) by computing the average functional connectivity ofn = 200 young-adult HCP participants scanned at 3 Tesla (3 T, 2 mm isotropic voxel resolution; Fig.1A; see Methods and Supplementary Fig.2Bfor particip...
The model training time was 18 h on a GPU cluster with quad NVIDIA Tesla V100 GPUs, 320 GB of RAM and 10 CPU cores. Model inference with a mobile NVIDIA RTX 2060 GPU can be achieved in under 1 s, and 3 s on a mobile Intel i7-8750H CPU. To run prediction in IMR-90,...