Author

Anne-Christin Hauschild

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Open access Sep 2026

Evaluating EMOO as a Metric-Balanced Ensemble Framework for Multi-Objective Optimization in Imbalanced Medical Data.

INTRODUCTION Class imbalance can hinder reliable detection of clinically relevant outcomes in binary clinical prediction. In this study, the positive class was predefined as the clinically relevant minority outcome; therefore, accuracy-only hyperparameter selection can favor the majority class and reduce sensitivity fo...

Maryam Moradpour, Zully Ritter, Anne-Christin Hauschild · Studies in Health Technology... · 0 citations

Preprint Sep 2026

A Multimodal Dataset for Survival Prediction in Resected Pancreatic Ductal Adenocarcinoma

Survival research in pancreatic ductal adenocarcinoma (PDAC) is limited by the scarcity of datasets linking whole-slide histology with clinical, molecular, and long-term outcome data. We present a retrospective single-centre cohort of 302 patients who underwent PDAC resection at University Medical Center Gottingen. The...

Anh-Tien Nguyen, Mawuko Tettey, J. M. Metsch et al. · 0 citations

#machine learning Preprint Sep 2026

FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology

It is suggested that combining complementary pretrained representations can improve histopathological classification when annotations are limited, and FFM-CP achieves higher mean macro-F1 than the strongest individually adapted member of each fused set in 50 of 54 comparisons.

Anh-Tien Nguyen, Trung DQ. Dang, N. T. Diep et al. · 0 citations

#machine learning Preprint Sep 2026

A Federated Artificial Intelligence Framework for Optimizing Pancreatic Cancer Treatment - Strategy Update

While a centralized approach involving patient consent to collect and analyze data centrally would theoretically offer the best data quality and predictive performance, it is not always feasible in practice. Federated Learning (FL) architectures have shown to be a very promising approach to use and access distributed d...

Anne-Christin Hauschild, Amirreza Aleyasin, N. Beyer et al. · 0 citations

#machine learning Preprint Sep 2026

FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification

This work proposes Federated Dual Reputation Annealing Weighting (FedDRAW), a server-side aggregation method that combines a data-size prior with the cosine similarity between client and global parameters under two coupled annealing schedules under two coupled annealing schedules.

Maryam Moradpour, Anne-Christin Hauschild · 0 citations

Open access Aug 2026

Evaluating Graph Neural Network Architectures for Multi-Omics Cancer Subtyping using Methylation and Gene Expression Profiles

A benchmarking study on multiple GNNs on a Protein-Protein Interaction (PPI) network for Kidney Renal Clear Cell Carcinoma and Breast cancer subtype prediction, performing an in-depth investigation of architectures, incorporating skip connections and various data modalities.

Julia Schirmacher, M. C. Maurer, J. M. Metsch et al. · bioRxiv · 0 citations