Showing 1–13 of 13 results
/ Date/ Name
Feb 13, 2024Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationJul 21, 2024Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and SufficiencyMar 8, 2025Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human CancersMay 27, 2021Recent advances and clinical applications of deep learning in medical image analysisFeb 14, 2024Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and SufficiencyJan 25, 2022Virtual Adversarial Training for Semi-supervised Breast Mass ClassificationApr 24, 2024Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view MammographyJun 21, 2022Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View MammogramsMar 28, 2023Evaluating the Effectiveness of 2D and 3D Features for Predicting Tumor Response to ChemotherapyMay 25, 2024From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing SignalsSep 13, 2023Developing a Novel Image Marker to Predict the Clinical Outcome of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer PatientsDec 30, 2021Motif Graph Neural NetworkDec 14, 2022On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach