Daniel Scholz

15 papers Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions.
Pattern Recognit. Lett.
Aswathi Varma, Daniel Scholz, Ayhan Can Erdur, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2026 J jnl
VariViT: A Vision Transformer for Variable Image Sizes.
CoRR
Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern Menze, Daniel Rueckert, Benedikt Wiestler
2025 — conf
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.
MICCAI (6)
Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert
2025 J jnl
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.
CoRR
Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert
2025 J jnl
From histology to diagnosis: Leveraging pathology foundation models for glioma classification.
Comput. Biol. Medicine
Camillo Saueressig, Claire Delbridge, Daniel Scholz, Azar Kazemi, Mohammad Zaid Khan, Marie Metz, Bernhard Meyer, Meike Mitsdoerffer, Peter J. Schüffler, Benedikt Wiestler
2025 J jnl
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis.
CoRR
Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2025 — conf
MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis.
MICCAI (8)
Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2025 J jnl
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder.
CoRR
Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken
2025 — conf
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder.
MLMI@MICCAI
Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken
2024 — conf
Imbalance-aware loss functions improve medical image classification.
MIDL
Daniel Scholz, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2024 — conf
VariViT: A Vision Transformer for Variable Image Sizes.
MIDL
Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler
2023 — conf
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
BraTS/CrossMoDA@MICCAI
Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken
2023 J jnl
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
CoRR
Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken
2023 — conf
Metrics to Quantify Global Consistency in Synthetic Medical Images.
DGM4MICCAI
Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten
2023 J jnl
Metrics to Quantify Global Consistency in Synthetic Medical Images.
CoRR
Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten