24 citations · 30 across the 7 of their papers we have counts for
4 papers · 1 filter
Rethinking Tokenization for Clinical Time Series: When Less is More
Rafi Al Attrach, Rajna Fani, David Restrepo +2
Tokenization strategies shape how models process electronic health records, yet fair comparisons of their effectiveness remain limited. We present a systematic evaluation of tokeni…
Coefficient of Variation Masking: A Volatility-Aware Strategy for EHR Foundation Models
Rajna Fani, Rafi Al Attrach, David Restrepo +3
Masked autoencoders (MAEs) are increasingly applied to electronic health records (EHR) for learning general-purpose representations that support diverse clinical tasks. However, ex…
Dataset Distillation with Probabilistic Latent Features
Zhe Li, Sarah Cechnicka, Cheng Ouyang +3
As deep learning models grow in complexity and the volume of training data increases, reducing storage and computational costs becomes increasingly important. Dataset distillation…
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Maximilian Fischer, Peter Neher, Peter Schüffler +9
Accurate diagnosis of disease often depends on the exhaustive examination of Whole Slide Images (WSI) at microscopic resolution. Efficient handling of these data-intensive images r…