MONAX
Monax is a contract lifecycle management platform which allows consumers to easily procure lawyer-tested agreements and stay in full control of their business contracts. Harnessing a unique combination of active agreements, blockchain technology, and a business process modeling engine, the platform is designed to move business legal obligations into the networked world. Monax was founded in 2014 and is based in Edinburgh, UK.
MONAX
Industry:
Blockchain Computer Enterprise Software Legal Open Source Software
Founded:
2014-06-25
Address:
Edinburgh, Edinburgh, City Of, United Kingdom
Country:
United Kingdom
Website Url:
http://www.monax.io
Total Employee:
11+
Status:
Active
Email Addresses:
[email protected]
Total Funding:
0
Technology used in webpage:
Domain Not Resolving IPv6 ReCAPTCHA Cloudflare Hosting Apple Mobile Web App Capable Ruby On Rails Token OpenResty Apple Mobile Web App Status Bar Style Express Zendesk Dropbox
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More informations about "Monax"
MONAI - Home
MONAI Label is an intelligent image labeling and learning tool that uses AI assistance to reduce the time and effort of annotating new datasets. By utilizing user interactions, MONAI Label โฆSee details»
Project-MONAI/MONAI: AI Toolkit for Healthcare Imaging - GitHub
Project MONAI - GitHub
Project MONAI is an initiative started initially by NVIDIA and King's College London to establish an inclusive community of AI researchers to develop and exchange best practices for AI in healthcare imaging across academia and โฆSee details»
GitHub - Project-MONAI/MONAILabel: MONAI Label is โฆ
MONAI Label supports many state-of-the-art(SOTA) models in Model-Zoo, and their integration with viewers and monaibundle app. Please refer to monaibundle app page for supported models, including whole body segmentation, whole โฆSee details»
MONAI Label โ MONAI Label 0.8.5 Documentation
MONAI Label allows researchers and developers to make continuous improvements to their apps by allowing them to interact with their apps at the user would. End-users (clinicians, โฆSee details»
Workshops โ ISBI 2025
Tuesday | April 15, 2025 | 15:00 โ 17:30. Abstract: The Medical Open Network for AI (MONAI https://monai.io) Project is an open-source platform with over 3.5 million downloads that is well โฆSee details»
${title} | MONAI - Medical Open Network for AI
This working group aims to accelerate the adoption of AI in medical imaging through comprehensive educational resources and training materials. The focus includes developing โฆSee details»
Project MONAI - MICCAI 2022 - Tutorial
The MONAI Tutorial is happening at MICCAI 2022 on Septemer 22nd, from 8am to 3pm SGT. Learn more about Developing for the Medical AI Project Lifecycle with MONAI ... GitHub โฆSee details»
monai.io - topai.tools
Monai.io - MONAI is an open-source framework designed for medical imaging AI research, offering tools for model development, training, and deployment. It features intelligent image โฆSee details»
Network architectures โ MONAI 1.4.0 Documentation
Parameters:. spatial_dims โ number of spatial dimensions.. in_channels โ number of input channels.. out_channels โ number of output channels.. strides โ convolution stride. Defaults to โฆSee details»
Project MONAI โ MONAI 1.3.1 Documentation
{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Creating a Multi-AI Deploy App with Multiple Models\n", "\n", "This tutorial ...See details»
Monai - Anaconda.org
MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem. By data scientists, for data scientists ANACONDASee details»
MONAI: An open-source framework for deep learning in โฆ
Mar 14, 2024 Project MONAI (https://monai.io) is a joint initiative aiming at defining, standardizing, developing, and exchanging best practices for AI in healthcare; it is unifying the โฆSee details»
MONAI: An open-source framework for deep learning in healthcare
Nov 4, 2022 Project MONAI (https://monai.io) is a joint initiative aiming at de๏ฌning, standardizing, developing, and exchanging best practices for AI in health-care; it is unifying the โฆSee details»
Getting Started with MONAI
There is a rich set of transforms in six categories: Crop & Pad, Intensity, IO, Post-processing, Spatial, and Utilities. For more details, please visit all the transforms in MONAI. Medical โฆSee details»
Installation Guide โ MONAI 1.4.0 Documentation
0.1.0 indicates that your installation is based on the 0.1.0 milestone release. +144 indicates that your installation is 144 git commits ahead of the milestone release.. g52c763d indicates that โฆSee details»
[REPO]@Telematika | Project-MONAI/tutorials
Oct 29, 2020 Cache IO and transforms to accelerate training and validation. 3D UNet, Dice loss function, Mean Dice metric for 3D segmentation task. Sliding window inference. Deterministic โฆSee details»
Hyperfine and NVIDIA Collaborate to Revolutionize Neuroimaging โฆ
Mar 17, 2025 For more information about the Swoop® Portable MR Imaging® system, please visit hyperfine.io. 1) World Health Organization. Over 1 in 3 people affected by neurological โฆSee details»
Whatโs new in 0.6 โ MONAI 1.4.0 Documentation
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 โฆSee details»
monailabel.datastore.local module โ MONAI Label 0.8.5 โฆ
Monailabel.datastore.local module¶ class monailabel.datastore.local. DataModel (** data) [source] ¶. Bases: pydantic.main.BaseModel Create a new model by parsing and validating input data โฆSee details»