activity
20172026
most citedDeep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment

24 citations · 30 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Deep Learning-Based Fixation Type Prediction for Quality Assurance in Digital Pathology

Oskar Thaeter, Tanja Niedermair, Jan E. G. Albin +3

Accurate annotation of fixation type is a critical step in slide preparation for pathology laboratories. However, this manual process is prone to errors, impacting downstream analy…

cs.LG2025

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…

cs.LG2025

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…

cs.CV2025

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…

eess.IV2025★ 6 cited

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…

eess.IV2020★ 24 cited

Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment

David Joon Ho, Narasimhan P. Agaram, Peter J. Schueffler +4

Osteosarcoma is the most common malignant primary bone tumor. Standard treatment includes pre-operative chemotherapy followed by surgical resection. The response to treatment as me…

stat.AP2017

MRI-based Surgical Planning for Lumbar Spinal Stenosis

Gabriele Abbati, Stefan Bauer, Peter J. Schüffler +5

The most common reason for spinal surgery in elderly patients is lumbar spinal stenosis(LSS). For LSS, treatment decisions based on clinical and radiological information as well as…