Bruce Hashemian

AI Toolkit for Healthcare Imaging

MONAI Tutorials

MONAI Cloud API developments for intelligent imaging and learning tools, fostering innovation in medical imaging and AI-driven services.

Interpretability matters!

Smooth and Nonlinear Data-driven Collective variables

NumPy & SciPy for GPU

Datasets, Transforms and Models specific to Computer Vision

Auxiliary functions to generate necessary artifacts and configs for TensorFlow Projector in Tensorboard.

Central repository for Holoscan Reference Applications

HI-ML toolbox for deep learning for medical imaging and Azure integration

MONAI Model Zoo that hosts models in the MONAI Bundle format.

NVIDIA Federated Learning Application Runtime Environment

Tensors and Dynamic neural networks in Python with strong GPU acceleration

No description.

A github action for automatically formatting source code files for MONAI

Calculate the length of manuscripts for APS Journals