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Hi AIDA DGX-2 users!<br>
<br>
Do you have opinions on what Nvidia should be doing to better
support medical imaging workflows? <br>
<br>
Nvidia is reaching out to AIDA for feedback, so let me know if you
want to get involved, and we will see how to best take this forward.
Feel free to reply by email, or post in <a moz-do-not-send="true" href="https://nbisweden.slack.com/archives/C01S39EQ9S9/p1632841938053200">#aida-dgx2</a>
chat, or contact Leif directly if you want (cf below)!<br>
<br>
As a conversation starter, Leif lets us know that they have recently
integrated a few things as OpenSource/MONAI (cf below).<br>
<div class="moz-forward-container"><br>
Cheers!<br>
/Joel Hedlund<br>
AIDA DGX-2 Service owner<br>
Data director AIDA<br>
<br>
-------- Forwarded Message --------
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
</th>
<td>Input till Nvidia DGX för Medical Imaging </td>
</tr>
<tr>
<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Tue, 28 Sep 2021 11:39:22 +0000</td>
</tr>
<tr>
<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Leif Nordlund <a class="moz-txt-link-rfc2396E" href="mailto:lnordlund@nvidia.com"><lnordlund@nvidia.com></a></td>
</tr>
<tr>
<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td>Joel Hedlund <a class="moz-txt-link-rfc2396E" href="mailto:joel.hedlund@liu.se"><joel.hedlund@liu.se></a></td>
</tr>
</tbody>
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<br>
<br>
Hej Joel
<div><br>
</div>
<div>Vi utvecklar nu vår plattform vidare och önskar feedback på
verktyg och annat som kan förbättra för användare av Medical
Imaging workflows. Hur skulle vi kunna få feedback av era
användare , kan du facilitetera eller skall vi kontakta några
användare från Nvidia ? </div>
<div><br>
</div>
<div>Saker vi integrerat nyligen efter input som Open Source /
MONAI är </div>
<div>
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UNETR: Transformers for Medical Image Segmentation</p>
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Enhancements of the base metric interfaces</p>
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C++/CUDA extension modules via PyTorch JIT compilation</p>
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none;">
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none; margin-top: 0px; margin-bottom: 0px; font-size: 1em;
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Backward compatibility and enhanced continuous
integration/continuous delivery</p>
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none;">
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Collaboration with Project-MONAI/MONAILabel for smooth
integration</p>
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MONAI Label 0.1 första release: </p>
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<br>
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<span style="background-color: rgb(255, 255, 255);">MONAI
Label is an intelligent open source image labeling and
learning tool that enables users to create annotated
datasets and build AI annotation models for clinical
evaluation. MONAI Label enables application developers
to build labeling apps in a </span><em style="box-sizing: border-box; font-variant-ligatures:
none;">serverless</em><span style="background-color:
rgb(255, 255, 255);"> way, where custom labeling apps
are exposed as a service through the MONAI Label Server.</span></p>
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<br>
<div dir="ltr">// Leif </div>
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