9 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Magellan: Guided MCTS for Latent Space Exploration and Novelty Generation
Lufan Chang
Large Language Models (LLMs) often struggle with generating truly innovative ideas, typically defaulting to high-probability, familiar concepts within their training data's "gravit…
cs.CV2024★ 2 cited
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result Fusion
Bingzhi Shen, Lufan Chang, Siqi Chen +2
In medical imaging, precise annotation of lesions or organs is often required. However, 3D volumetric images typically consist of hundreds or thousands of slices, making the annota…
eess.IV2020★ 9 cited
DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
Lufan Chang, Wenjing Zhuang, Richeng Wu +6
To conduct a radiomics or deep learning research experiment, the radiologists or physicians need to grasp the needed programming skills, which, however, could be frustrating and co…