Daniel Scholz

According to our database, Daniel Scholz authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis.

Ayhan Can Erdur, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken

CoRR, April, 2026

Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions.

Aswathi Varma, Daniel Scholz, Ayhan Can Erdur, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler

Pattern Recognit. Lett., 2026

2025

From histology to diagnosis: Leveraging pathology foundation models for glioma classification.

Camillo Saueressig, Claire Delbridge, Daniel Scholz, Azar Kazemi, Mohammad Zaid Khan, Marie Metz, Bernhard Meyer, Meike Mitsdoerffer, Peter J. Schüffler, Benedikt Wiestler

Comput. Biol. Medicine, 2025

MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder.

Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken

Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.

Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis.

Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

VariViT: A Vision Transformer for Variable Image Sizes.

Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Imbalance-aware loss functions improve medical image classification.

Daniel Scholz, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.

Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Metrics to Quantify Global Consistency in Synthetic Medical Images.

Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023