Open-Source Large Language Models in Radiology| vitalab.github.io
MemSAM| vitalab.github.io
tl;dr The authors propose PQN, a simplified deep online Q-Learning that uses very small replay buffers. Normalization and parallelized sampling from vectorized environments stabilizes training without the need for huge replay buffers. PQN is competitive with more complex methods such as Rainbow, PPO-RNN, QMix while being 50x faster than traditional DQN.| VITALab
Objective EchoPrime is a foundation model designed for comprehensive echocardiographic interpretation. Unlike previous models that use single views or static...| vitalab.github.io
DeepSeek-V3| vitalab.github.io
Highlights| VITALab
Implicit neural networks| vitalab.github.io
Diffusion networks As there’s a lot of recent developments around image generation and diffusion models in general, I took a deep dive in the fundamentals of...| vitalab.github.io
Introduction| VITALab
Quick Summary GraphRAG is RAG where the retrieval path utilizes a knowledge graph. It improves the comprehensiveness and diversity of answers compared to RAG...| vitalab.github.io