Medical-Heart-Segmentation-Application

Model for Identification of Alzheimer's Disease by Brain MRI.

Glioblastoma 3D Segmentation with nnU-Net and Patch Learning.

cardiac segmentation with 3d slicer

Leukocytes (WBCs) subtypes classification from blood smear images using Vision Transformers from Hugging Face and DenseNet artificial neural network from MONAI.

Computer-Aided Diagnosis (CAD) Tool for frontotemporal dementia (FTD) based on Deep Learning and Explainable AI (MD3-Cam). The model uses 3D T1-weighted MRI brain scans. The paper has been published in Life journal.

training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder

Empowering 3D Lung Tumour Segmentation with MONAI

Semantic Segmentation of Spleen using UNET

monai_wholeBody_ct_segmentation

Deep learning based cardiac segmentation

This is Pooya Mohammadi, Open Source Enthusiast, AI Developer & Researcher

MONAI Label client plugin for napari

a robust liver segmentation model built using the UNet architecture and powered by the MONAI library, designed specifically for medical imaging tasks. this repository provides state-of-the-art tools for accurate liver segmentation in medical images.

Applying CNNs, Decoders, and Transfer Learning to distinguish the MRIs of heavy cannabis users vs. controls

Brain Segmentation

Generating attention maps from resnet50 and densenet using ACDC and EMIDEC dataset

AI powered segmentation of human organs from CT images

Reimplementation of MONAI tutorials with W&B to run in Google Colab GPU