12 citations · 35 across the 7 of their papers we have counts for
8 papers
SIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization
Peiyu Zhuang, Jianquan Yang, Haodong Li +6
Text-driven image editing has advanced rapidly, but reliably localizing these manipulations requires image manipulation localization (IML) models trained on large pixel-annotated d…
Leveraging Causal Reasoning Method for Explaining Medical Image Segmentation Models
Limai Jiang, Ruitao Xie, Bokai Yang +6
Medical image segmentation plays a vital role in clinical decision-making, enabling precise localization of lesions and guiding interventions. Despite significant advances in segme…
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation
Ruitao Xie, Limai Jiang, Xiaoxi He +2
Machine-based brain tumor segmentation can help doctors make better diagnoses. However, the complex structure of brain tumors and expensive pixel-level annotations present challeng…
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Ruitao Xie, Jingbang Chen, Limai Jiang +3
Image classification is a primary task in data analysis where explainable models are crucially demanded in various applications. Although amounts of methods have been proposed to o…
Autism Spectrum Disorder Classification with Interpretability in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder
Ruimin Ma, Ruitao Xie, Yanlin Wang +4
Autism spectrum disorder (ASD) is a highly disabling mental disease that brings significant impairments of social interaction ability to the patients, making early screening and in…
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation
Ruitao Xie, Jingbang Chen, Limai Jiang +3
Explainability poses a major challenge to artificial intelligence (AI) techniques. Current studies on explainable AI (XAI) lack the efficiency of extracting global knowledge about…
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Huazhu Fu, Fei Li, Xu Sun +22
Angle closure glaucoma (ACG) is a more aggressive disease than open-angle glaucoma, where the abnormal anatomical structures of the anterior chamber angle (ACA) may cause an elevat…
Pathological Myopic Image Analysis with Transfer Learning
Ruitao Xie, Libo Liu, Jingxin Liu +1
We present a summary of transfer learning based methods for several challenging myopic fundus image analysis tasks including classification of pathological and non-pathological myo…