Vision-BioLLM: Large vision language model for visual dialogue in biomedical imagery
In this paper, we present a vision-language model tailored for visual dialogue in the
biomedical domain, utilizing a LanguageBind transformer as the vision encoder and Llama3 …
biomedical domain, utilizing a LanguageBind transformer as the vision encoder and Llama3 …
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Self-supervised deep learning has accelerated 2D natural image analysis but remains
difficult to translate into 3D MRI, where data are scarce and pre-trained 2D backbones …
difficult to translate into 3D MRI, where data are scarce and pre-trained 2D backbones …
Comment on: ChatGPT: Chasing the Storm in Radiology Training and Education
PK Sarangi, S Datta, H Mondal - Indian Journal of Radiology …, 2024 - thieme-connect.com
We carefully reviewed the editorial penned by Sodhi et al, addressing the potential
application of Chat Generative Pre-Trained Transformer (ChatGPT) in training and …
application of Chat Generative Pre-Trained Transformer (ChatGPT) in training and …