SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
NVIDIA Enterprise
NVIDIA Enterprise
3
2
2
NVIDIA NIM
NVIDIA NIM
2
NIM Container GPUs
NIM Container GPUs
Use Case
Use Case
1
1
1
NVIDIA Platform
NVIDIA Platform
3
1
Industry
Industry
3
Solution
Solution
1
1
1
1
1
Publisher
Publisher
21
Policy
Policy
Displaying 21 results
A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
Model
NVIDIA Developer Program
The VISTA-3D NIM accelerates ground truth data creation by streamlining segmentation and annotations with an interactive foundation model.
Container
NVIDIA Developer Program
NVIDIA
NVIDIA
MAISI NIM
MAISI NIM generated high-quality synthetic CT images with or without anatomical annotations.
Container
MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
Container
A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data.
Model
A pre-trained SegResNet model for volumetric (3D) segmentation of the 104 whole body segments.
Model
A pre-trained model for volumetric (3D) multi-organ segmentation from CT image.
Model
A pre-trained model for the endoscopic inbody classification task.
Model
A pre-trained model for volumetric (3D) detection of the lung lesion from CT image.
Model
A pre-trained model for 3D segmentation of the spleen organ from CT images using DeepEdit.
Model
A pre-trained model for Nuclei Classification within Haematoxylin & Eosin stained histology images.
Model
A pre-trained model for segmenting nuclei cells with user clicks/interactions.
Model
A pre-trained model for the endoscopic tool segmentation task.
Model
A simultaneous segmentation and classification of nuclei within multitissue histology images based on CoNSeP data.
Model
A neural architecture search algorithm for volumetric (3D) segmentation of the pancreas and pancreatic tumor from CT image.
Model
A pre-trained model for automated detection of metastases in whole-slide histopathology images.
Model
A generative model for creating 3D brain MRI from Gaussian noise based on BraTS dataset.
Model
A generative model for creating 2D brain MRI axial slices from Gaussian noise based on BraTS dataset.
Model
VISTA-2D is a comprehensive training and inference pipeline for cell segmentation in imaging applications.
Model
VISTA-3D is a specialized interactive foundation model for 3D medical imaging.
Model
A generative model for creating 3D CT from Gaussian noise.
Model

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.