Pass The Torch

Deep Dive into Echo Severe AS

Medical AI

Deep Dive into EchoNext-Mini

Medical AI

This post is a code-focused deep dive into an electrocardiographic deep learning model called EchoNext-Mini. EchoNext-Mini detects structural heart disease (SHD) from a…

Deep Dive into PanEcho

Medical AI

This post is a code-focused deep dive into an echocardiographic deep learning model called PanEcho. PanEcho is a multivew, multitask, and video-based deep learning model…

Deep Dive into Merlin

Medical AI

This post is a code-first deep dive into a foundation model called Merlin that leverages the structured and unstructured EHR within hospitals to train an abdominal CT visual…

Finetuning with TRL - Transformers Reinforcement Learning

Hugging Face

In this post, I will walk through code for finetuning a language model using the TRL (Transformer Reinforcement Learning) library from Hugging Face. TRL is a general-purpose…

Deep Dive into EchoCLIP

Medical AI

This post is a code-forward deep dive into EchoCLIP, a vision-language model for echocardiogram interpretation. The code repository for EchoCLIP is available on GitHub and…

Deep Dive into EchoPrime

Medical AI

This post is a code-forward deep dive into EchoPrime, a multi-video, view-informed Vision-Language Model designed for comprehensive echocardiography interpretation. The code…

Multiscale Vision Transformers (MViTv2)

Computer Vision

This post provides an overview of the paper MViTv2: Improved Multiscale Vision Transformers for Classification and Detection with a focus on the upgrades to the pooling…

Multiscale Vision Transformers (MViT)

Computer Vision

This post summarizes the Multiscale Vision Transformers (MViT) paper with a focus on the model architecture and does not cover experimental model performance.

Learning Journey

Learn

This post will contain resources I have used and found helpful in my learning journey of PyTorch and Deep Learning. I will update this post as I discover more resources.