A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data

von Wilms, Matthias
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 4 (2020)

Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks

von Nielsen, Christopher
Veröffentlicht in OMIA (9. : 2022 : Singapur) Ophthalmic medical image analysis (2022)

Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis

von Stanley, Emma A. M.
Veröffentlicht in EPIMI (1. : 2022 : Singapur) Ethical and philosophical issues in medical imaging, multimodal learning and fusion across scales for clinical decision support, and topological data analysis for biomedical imaging (2022)

Federated Learning Using Variable Local Training for Brain Tumor Segmentation

von Tuladhar, Anup
Veröffentlicht in International Brain Lesion Workshop (7. : 2021 : Online) Brainlesion ; Part 2 (2022)

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

von Amador, Kimberly
Veröffentlicht in International Conference on Medical Image Computing and Computer Assisted Intervention (25. : 2022 : Singapur; Online) Medical image computing and computer assisted intervention - MICCAI 2022 ; Part 3 (2022)

Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model

von Wilms, Matthias
Veröffentlicht in MICCAI MAD Workshop (1. : 2022 : Singapur; Online) Medical applications with disentanglements (2023)

Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets

von Souza, Raissa
Veröffentlicht in International Brain Lesion Workshop (7. : 2021 : Online) Brainlesion ; Part 2 (2022)

Quantitative Comparison of Generative Shape Models for Medical Images

von Uzunova, Hristina
Veröffentlicht in Workshop Bildverarbeitung für die Medizin (2020 : Berlin) Bildverarbeitung für die Medizin 2020 (2020)

Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows

von Wilms, Matthias
Veröffentlicht in MLCN (4. : 2021 : Straßburg) Machine Learning in Clinical Neuroimaging (2021)

Analysis of Generative Shape Modeling Approaches

von Uzunova, Hristina
Veröffentlicht in Bildverarbeitung für die Medizin 2021 (2021)

Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows

von Wilms, Matthias
Veröffentlicht in MLCN (3. : 2020 : Online) Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology (2020)