3 papers
cs.CV2026
SONIC: Spectral Oriented Neural Invariant Convolutions
Gijs Joppe Moens, Regina Beets-Tan, Eduardo H. P. Pooch
Convolutional Neural Networks (CNNs) rely on fixed-size kernels scanning local patches, which limits their ability to capture global context or long-range dependencies without very…
cs.CV2025
Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation
Alessia Hu, Regina Beets-Tan, Lishan Cai +1
Magnetic Resonance Imaging (MRI) plays an important role in identifying clinically significant prostate cancer (csPCa), yet automated methods face challenges such as data imbalance…
eess.IV2024
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
Xin Wang, Tao Tan, Yuan Gao +9
Precision breast cancer (BC) risk assessment is crucial for developing individualized screening and prevention. Despite the promising potential of recent mammogram (MG) based deep…