4 papers
A Foundation Model Approach for Fetal Stress Prediction During Labor From cardiotocography (CTG) recordings
Naomi Fridman, Berta Ben Shachar
Intrapartum cardiotocography (CTG) is widely used for fetal monitoring during labor, yet its interpretation suffers from high inter-observer variability and limited predictive accu…
Dual-attention ResNet outperforms transformers in HER2 prediction on DCE-MRI
Naomi Fridman, Anat Goldstein
Breast cancer is the most diagnosed cancer in women, with HER2 status critically guiding treatment decisions. Noninvasive prediction of HER2 status from dynamic contrast-enhanced M…
Transformer Classification of Breast Lesions: The BreastDCEDL_AMBL Benchmark Dataset and 0.92 AUC Baseline
Naomi Fridman, Anat Goldstein
Breast magnetic resonance imaging is a critical tool for cancer detection and treatment planning, but its clinical utility is hindered by poor specificity, leading to high false-po…
BreastDCEDL: A Comprehensive Breast Cancer DCE-MRI Dataset and Transformer Implementation for Treatment Response Prediction
Naomi Fridman, Bubby Solway, Tomer Fridman +2
Breast cancer remains a leading cause of cancer-related mortality worldwide, making early detection and accurate treatment response monitoring critical priorities. We present Breas…