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Research & Development
CardioComposer: Guiding 3D Anatomy Generation with Precision and Flexibility
TLDR: CardioComposer is a new framework that uses interpretable ellipsoidal shapes and geometric loss functions to guide unconditional diffusion models in generating 3D human...
Research & Development
Enhancing Multi-Agent Robot Learning with Symmetry Guidance
TLDR: This research introduces the Symmetry-Guided Framework (SGF) to improve Multi-Agent Inverse Reinforcement Learning (MIRL) by addressing sample inefficiency. It theoretically proves that leveraging...
Research & Development
Guiding Reinforcement Learning: How Large Language Models Act as Tutors
TLDR: A study explores using pre-trained Large Language Models (LLMs) as tutors to accelerate the training of Reinforcement Learning (RL) algorithms. By providing guidance...
Research & Development
AI-Guided Optimization for Seed Implant Brachytherapy Planning
TLDR: This research introduces an iterative framework using large language models (LLMs) and retrieval-augmented generation (RAG) to automate and optimize seed implant brachytherapy (SIBT)...
Research & Development
A Unified Pipeline for Prompt-Driven Image Editing and Analysis
TLDR: A new research paper introduces LSID (Locate–Segment–Inpaint–Describe), a unified pipeline that transforms natural language prompts into a series of visual actions for image...
Research & Development
Synthetic Chest X-Rays Improve AI Accuracy in Medical Diagnosis
TLDR: RoentMod is an open-source tool that creates realistic, synthetic chest X-rays with specific pathologies added, while keeping other features unchanged. It helps identify...