Mohamed Gad
Mohamed Gad
About me
Experience
News
Publications
Projects
✏️ Blog Posts
Talks
Contact
Light
Dark
Automatic
Deep Learning
Tactic2Vec: Deep Metric Learning for Similar Soccer Plays Retrieval
Tactic2Vec is a Deep Metric Learning Framework. It solves the problem of play retrieval by learning a dense vector representation where geometrically and tactically similar scenes are close to each other in the embedding space.
Tech:
Python
Code
Physics-Informed Neural Network (PINN) for Cryosurgery Simulations
PINN to solve the nonlinear PDE governing temperature distribution during cryosurgery simulations.
Tech:
Python
Code
Sliding Window Inference in Large-Scale 3D Imaging Models
In this post, I walk you through the solution to a huge memory bottleneck in 3D Imaging Models: the Sliding Window Inference technique. We will look at how tools like Patchly and MONAI implement this.
Mohamed Gad
Feb 2, 2026
8 min read
Physics-Informed Neural Networks for Anisotropic Cardiac Activation Mapping
Cardiac activation mapping is critical for guiding catheter ablation of arrhythmias but remains challenging due to the difficulty of …
Mohamed Gad
,
Sherif El-Gendy
,
Mazen Atlam
,
Ahmed Mohamed
Introduction to Physics-informed Neural Networks
Neural networks are well-known for their ability to learn patterns from data, helping us make predictions and decisions in a variety of fields. But what if we could make these networks even smarter by teaching them to follow the rules that govern the world around us?
Mohamed Gad
Oct 19, 2024
6 min read
Cite
×