Our work starts with a simple idea: the way different brain regions communicate can reveal a lot about what [...]

We propose Variable-Length Word Embeddings, a POS-aware and compute-efficient Word2Vec training framework. Traditional embeddings assign the same dimensionality to [...]

AI-driven medical imaging has emerged as a transformative force in modern healthcare, empowering clinicians to deliver more accurate, efficient, [...]

Our paper proposes a multi-stage Green U-shaped Learning (GUSL) framework for efficient and reliable IHC image quantification. As shown [...]