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

Brain white matter hyperintensity segmentation, with T1 and FLAIR MRI images, using UNet.

Brain Segmentation

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

curriculum development ideas for computational biology internship and teaching assistantship @ AI4ALL

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

using labeled and unlabeled (and doing the labeling manually) data, the data is basically medical files (NIfTI & DICOM images) to ensure a good segmentation of the liver

Code for the paper CTFSH: Full Head CT Anomaly Detection with Unsupervised Learning

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

MRI-based semi-automated detection of ACL(Anterior Cruciate Ligament) injury using PyTorch

Created a semantic segmentation model using PyTorch framework called MONAI. In this project I have applied various data augmentation technique and have build a UNet deep learning model.

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.

Deep learning based cardiac segmentation

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

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

MONAI Label client plugin for napari

An open source library for streaming and preprocessing point-of-care ultrasound video.

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

teeth segmentation using pytorch and monai

An extended version of official MONAI library