Daniel Rueckert

Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT MIDL 2026 SuD-CoTAN: Sulcal Depth-guided Anatomically Consistent Fetal Cortical Surface Reconstruction MIDL 2026 Semi-Synthetic Localization Datasets for Radiological Findings on Chest X-Rays MIDL 2026 SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation MIDL 2026 Unintended Memorization of Sensitive Information in Fine-Tuned Language Models EACL 2026 Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling MIDL 2026 NISF$++$: Geometrically-grounded implicit representations of 3D$+$time cardiac function from 2D short- and long-axis MR views MIDL 2026 Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance MIDL 2026 From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis MIDL 2026 MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields MIDL 2026 Predicting Longitudinal Brain Development via Implicit Neural Representations MICCAI 2025 Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers WACV 2025 A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets CVPR 2025 SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments ICLR 2025 Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation ICLR 2025 Laplace Sample Information: Data Informativeness Through a Bayesian Lens ICLR 2025 A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data MICCAI 2025 Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method MICCAI 2025 Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG MICCAI 2025 MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI MICCAI 2025 MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning MICCAI 2025 MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis MICCAI 2025 Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging MICCAI 2025 Topologically faithful multi-class segmentation in medical images MICCAI 2024 ChEX: Interactive Localization and Region Description in Chest X-rays ECCV 2024 Beyond the Calibration Point: Mechanism Comparison in Differential Privacy ICML 2024 CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains MICCAI 2024 Diffusion Models with Implicit Guidance for Medical Anomaly Detection MICCAI 2024 Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images MICCAI 2024 Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans MICCAI 2024 Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT MICCAI 2024 Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction MICCAI 2024 Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations MICCAI 2024 Spatiotemporal Representation Learning for Short and Long Medical Image Time Series MICCAI 2024 Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis MICCAI 2024 Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations MICCAI 2024 Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images MICCAI 2024 The Multiscale Surface Vision Transformer MIDL 2024 Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders MIDL 2024 Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation MIDL 2024 Imbalance-aware loss functions improve medical image classification MIDL 2024 SINR: Spline-enhanced implicit neural representation for multi-modal registration MIDL 2024 VariViT: A Vision Transformer for Variable Image Sizes MIDL 2024 Link Prediction for Flow-Driven Spatial Networks WACV 2024 Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning NIPS 2023 Interactive and Explainable Region-Guided Radiology Report Generation CVPR 2023 Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data CVPR 2023 A Skeletonization Algorithm for Gradient-Based Optimization ICCV 2023 Robust Detection Outcome: A Metric for Pathology Detection in Medical Images MIDL 2023 Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening MIDL 2023 Joint Learning of Localized Representations from Medical Images and Reports ECCV 2022 Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis MIDL 2022 On the Pitfalls of Using the Residual Error as Anomaly Score MIDL 2022 Learning Diffeomorphic and Modality-invariant Registration using B-splines MIDL 2021 A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling MIDL 2020 Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation ECCV 2020 Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain MIDL 2020 Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes MLHC 2019 Semi-Supervised Learning via Compact Latent Space Clustering ICML 2018 Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network CVPR 2016 Patch-based Evaluation of Image Segmentation CVPR 2014