Patient Position Detection for SAR Optimization in Magnetic Resonance Imaging. - Andreas Keil; Christian Wachinger; Gerhard Brinker; Stefan Thesen; Nassir Navab (MICCAI (2), 2006)

Three-Dimensional Ultrasound Mosaicing. - Christian Wachinger; Wolfgang Wein; Nassir Navab (MICCAI (2), 2007)

Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding. - Christian Wachinger; Ramtin Shams; Nassir Navab (CVPR Workshops, 2008)

Deformable Mosaicing for Whole-Body MRI. - Christian Wachinger; Ben Glocker; Jochen Zeltner; Nikos Paragios; Nikos Komodakis; Michael Sass Hansen; Nassir Navab (MICCAI (2), 2008)

Ultrasound specific similarity measures for three-dimensional mosaicing. - Christian Wachinger; Nassir Navab (Image Processing, 2008)

MRI Composing for Whole Body Imaging. - Ben Glocker; Christian Wachinger; Jochen Zeltner; Nikos Paragios; Nikos Komodakis; Michael Sass Hansen; Nassir Navab (Bildverarbeitung für die Medizin, 2009)

Towards an Estimation of Acoustic Impedance from Multiple Ultrasound Images. - Christian Wachinger; Ramtin Shams; Nassir Navab (Bildverarbeitung für die Medizin, 2009)

Similarity metrics and efficient optimization for simultaneous registration. - Christian Wachinger; Nassir Navab (CVPR, 2009)

Alignment of Viewing-Angle Dependent Ultrasound Images. - Christian Wachinger; Nassir Navab (MICCAI (1), 2009)

Sphere extraction in MR images with application to whole-body MRI. - Christian Wachinger; Simon Baumann; Jochen Zeltner; Ben Glocker; Nassir Navab (Image Processing, 2009)

Manifold Learning for Multi-Modal Image Registration. - Christian Wachinger; Nassir Navab (BMVC, 2010)

Structural image representation for image registration. - Christian Wachinger; Nassir Navab (CVPR Workshops, 2010)

Manifold learning for patient position detection in MRI. - Christian Wachinger; Diana Mateus; Andreas Keil; Nassir Navab (ISBI, 2010)

Manifold Learning for Image-Based Breathing Gating with Application to 4D Ultrasound. - Christian Wachinger; Mehmet Yigitsoy; Nassir Navab (MICCAI (2), 2010)

Ultrasound Mosaicing and Motion Modeling - Applications in Medical Image Registration. - Christian Wachinger (2011)

Ultraschall-Mosaicing und Bewegungsmodellierung: Anwendungen der medizinischen Bildregistrierung. - Christian Wachinger (Ausgezeichnete Informatikdissertationen, 2011)

The 2D Analytic Signal on RF and B-Mode Ultrasound Images. - Christian Wachinger; Tassilo Klein; Nassir Navab (IPMI, 2011)

Temporal Groupwise Registration for Motion Modeling. - Mehmet Yigitsoy; Christian Wachinger; Nassir Navab (IPMI, 2011)

3D Stent Recovery from One X-Ray Projection. - Stefanie Demirci; Ali Bigdelou; Lejing Wang; Christian Wachinger; Maximilian Baust; Radhika Tibrewal; Reza Ghotbi; Hans-Henning Eckstein; Nassir Navab (MICCAI (1), 2011)

Manifold learning for image-based breathing gating in MRI. - Mehmet Yigitsoy; Christian Wachinger; Nassir Navab (Image Processing, 2011)

A contextual maximum likelihood framework for modeling image registration. - Christian Wachinger; Nassir Navab (CVPR, 2012)

MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. - Mehdi Moradi; Christian Wachinger; Andriy Fedorov; William M. Wells III; Tina Kapur; Luciant D. Wolfsberger; Paul Nguyen; Clare M. Tempany (MLMI, 2012)

Spectral Label Fusion. - Christian Wachinger; Polina Golland (MICCAI (3), 2012)

The 2D analytic signal for envelope detection and feature extraction on ultrasound images. - Christian Wachinger; Tassilo Klein; Nassir Navab (Medical Image Anal., 2012)

Entropy and Laplacian images: Structural representations for multi-modal registration. - Christian Wachinger; Nassir Navab (Medical Image Anal., 2012)

Manifold learning for image-based breathing gating in ultrasound and MRI. - Christian Wachinger; Mehmet Yigitsoy; Erik-Jan Rijkhorst; Nassir Navab (Medical Image Anal., 2012)

Sparse Projections of Medical Images onto Manifolds. - George H. Chen; Christian Wachinger; Polina Golland (IPMI, 2013)

Contour-Driven Regression for Label Inference in Atlas-Based Segmentation. - Christian Wachinger; Gregory C. Sharp; Polina Golland (MICCAI (3), 2013)

Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization. - Christian Wachinger; Nassir Navab (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Atlas-Based Under-Segmentation. - Christian Wachinger; Polina Golland (MICCAI (1), 2014)

BrainPrint : Identifying Subjects by Their Brain. - Christian Wachinger; Polina Golland; Martin Reuter 001 (MICCAI (3), 2014)

Gaussian Process Interpolation for Uncertainty Estimation in Image Registration. - Christian Wachinger; Polina Golland; Martin Reuter 001; William M. Wells III (MICCAI (1), 2014)

Blockface histology with optical coherence tomography: A comparison with Nissl staining. - Caroline Magnain; Jean Augustinack; Martin Reuter 001; Christian Wachinger; Matthew P. Frosch; Timothy Ragan; Taner Akkin; Van J. Wedeen; David A. Boas; Bruce Fischl (NeuroImage, 2014)

A Feature-Based Approach to Big Data Analysis of Medical Images. - Matthew Toews; Christian Wachinger; Raúl San José Estépar; William M. Wells III (IPMI, 2015)

Sampling from Determinantal Point Processes for Scalable Manifold Learning. - Christian Wachinger; Polina Golland (IPMI, 2015)

Keypoint Transfer Segmentation. - Christian Wachinger; Matthew Toews; Georg Langs; William M. Wells III; Polina Golland (IPMI, 2015)

Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning. - Christian Wachinger; Polina Golland (CoRR, 2015)

BrainPrint: A discriminative characterization of brain morphology. - Christian Wachinger; Polina Golland; William S. Kremen; Bruce Fischl; Martin Reuter 001 (NeuroImage, 2015)

Domain adaptation for Alzheimer's disease diagnostics. - Christian Wachinger; Martin Reuter 001 (NeuroImage, 2016)

Abtract: Shape Analysis in Human Brain MRI. - Martin Reuter 001; Christian Wachinger (Bildverarbeitung für die Medizin, 2017)

A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. - Benjamín Gutiérrez; Loïc Peter; Tassilo Klein; Christian Wachinger (MICCAI (3), 2017)

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. - Abhijit Guha Roy; Sailesh Conjeti; Debdoot Sheet; Amin Katouzian; Nassir Navab; Christian Wachinger (MICCAI (3), 2017)

Latent Processes Governing Neuroanatomical Change in Aging and Dementia. - Christian Wachinger; Anna Rieckmann; Martin Reuter 001 (MICCAI (3), 2017)

ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. - Abhijit Guha Roy; Sailesh Conjeti; Sri Phani Krishna Karri; Debdoot Sheet; Amin Katouzian; Christian Wachinger; Nassir Navab (CoRR, 2017)

Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. - Christian Wachinger; Matthew S. Brennan; Gregory C. Sharp; Polina Golland (IEEE Trans. Biomed. Eng., 2017)

Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger (Bildverarbeitung für die Medizin, 2018)

InfiNet: Fully convolutional networks for infant brain MRI segmentation. - Shubham Kumar; Sailesh Conjeti; Abhijit Guha Roy; Christian Wachinger; Nassir Navab (ISBI, 2018)

Deep Multi-structural Shape Analysis: Application to Neuroanatomy. - Benjamín Gutiérrez-Becker; Christian Wachinger (MICCAI (3), 2018)

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. - Benjamín Gutiérrez-Becker; Sergios Gatidis; Daniel Gutmann; Annette Peters; Christopher Schlett; Fabian Bamberg; Christian Wachinger (ShapeMI@MICCAI, 2018)

Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger (MICCAI (1), 2018)

Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks. - Abhijit Guha Roy; Nassir Navab; Christian Wachinger (MICCAI (1), 2018)

QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger (CoRR, 2018)

Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals. - Christian Wachinger; Benjamín Gutiérrez-Becker; Anna Rieckmann (CoRR, 2018)

Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks. - Abhijit Guha Roy; Nassir Navab; Christian Wachinger (CoRR, 2018)

Gaussian process uncertainty in age estimation as a measure of brain abnormality. - Benjamín Gutiérrez-Becker; Tassilo Klein; Christian Wachinger (NeuroImage, 2018)

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy. - Christian Wachinger; Martin Reuter 001; Tassilo Klein (NeuroImage, 2018)

Learning a Conditional Generative Model for Anatomical Shape Analysis. - Benjamín Gutiérrez-Becker; Christian Wachinger (IPMI, 2019)

Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. - Magdalini Paschali; Walter Simson; Abhijit Guha Roy; Rüdiger Göbl; Christian Wachinger; Nassir Navab (IPMI, 2019)

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. - Sebastian Pölsterl; Benjamín Gutiérrez-Becker; Ignacio Sarasua; Abhijit Guha Roy; Christian Wachinger (ABCD-NP@MICCAI, 2019)

An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. - Sebastian Pölsterl; Benjamín Gutiérrez-Becker; Ignacio Sarasua; Abhijit Guha Roy; Christian Wachinger (ABCD-NP@MICCAI, 2019)

'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. - Anne-Marie Rickmann; Abhijit Guha Roy; Ignacio Sarasua; Nassir Navab; Christian Wachinger (MICCAI (2), 2019)

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. - Christian Wachinger; Benjamín Gutiérrez-Becker; Anna Rieckmann; Sebastian Pölsterl (MICCAI (4), 2019)

A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. - Sebastian Pölsterl; Ignacio Sarasua; Benjamín Gutiérrez-Becker; Christian Wachinger (PKDD/ECML Workshops (1), 2019)

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. - Magdalini Paschali; Walter Simson; Abhijit Guha Roy; Muhammad Ferjad Naeem; Rüdiger Göbl; Christian Wachinger; Nassir Navab (CoRR, 2019)

BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. - Abhijit Guha Roy; Shayan Siddiqui; Sebastian Pölsterl; Nassir Navab; Christian Wachinger (CoRR, 2019)

Likelihood-Free Inference and Generation of Molecular Graphs. - Sebastian Pölsterl; Christian Wachinger (CoRR, 2019)

Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger (NeuroImage, 2019)

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2019)

Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks. - Abhijit Guha Roy; Nassir Navab; Christian Wachinger (IEEE Trans. Medical Imaging, 2019)

Recalibration of Neural Networks for Point Cloud Analysis. - Ignacio Sarasua; Sebastian Pölsterl; Christian Wachinger (3DV, 2020)

Importance Driven Continual Learning for Segmentation Across Domains. - Sinan Özgür Özgün; Anne-Marie Rickmann; Abhijit Guha Roy; Christian Wachinger (MLMI@MICCAI, 2020)

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. - Jyotirmay Senapati; Abhijit Guha Roy; Sebastian Pölsterl; Daniel Gutmann; Sergios Gatidis; Christopher Schlett; Annette Peters; Fabian Bamberg; Christian Wachinger (MLMI@MICCAI, 2020)

Adversarial Learned Molecular Graph Inference and Generation. - Sebastian Pölsterl; Christian Wachinger (ECML/PKDD (2), 2020)

Controlling for Unknown Confounders in Neuroimaging. - Sebastian Pölsterl; Christian Wachinger (CoRR, 2020)

Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. - Benjamín Gutiérrez-Becker; Ignacio Sarasua; Christian Wachinger (CoRR, 2020)

'Squeeze & excite' guided few-shot segmentation of volumetric images. - Abhijit Guha Roy; Shayan Siddiqui; Sebastian Pölsterl; Nassir Navab; Christian Wachinger (Medical Image Anal., 2020)

Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. - Laurent Chauvin; Kuldeep Kumar; Christian Wachinger; Mark G. Vangel; Jacques A. de Guise; Christian Desrosiers; William M. Wells III; Matthew Toews (NeuroImage, 2020)

Recalibrating 3D ConvNets With Project & Excite. - Anne-Marie Rickmann; Abhijit Guha Roy; Ignacio Sarasua; Christian Wachinger (IEEE Trans. Medical Imaging, 2020)

Keypoint Transfer for Fast Whole-Body Segmentation. - Christian Wachinger; Matthew Toews; Georg Langs; William M. Wells III; Polina Golland (IEEE Trans. Medical Imaging, 2020)

Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum. - Sebastian Pölsterl; Christian Wachinger (IPMI, 2021)

Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. - Ignacio Sarasua; Jonwong Lee; Christian Wachinger (ISBI, 2021)

STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains. - Fabian Gröger; Anne-Marie Rickmann; Christian Wachinger (MLMI@MICCAI, 2021)

Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. - Sebastian Pölsterl; Christina Aigner; Christian Wachinger (MICCAI (3), 2021)

Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. - Sebastian Pölsterl; Tom Nuno Wolf; Christian Wachinger (MICCAI (5), 2021)

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. - Raphael Ronge; Kwangsik Nho; Christian Wachinger; Sebastian Pölsterl (MLMI@MICCAI, 2021)

TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. - Ignacio Sarasua; Sebastian Pölsterl; Christian Wachinger (MLMI@MICCAI, 2021)

Semi-Structured Deep Piecewise Exponential Models. - Philipp Kopper; Sebastian Pölsterl; Christian Wachinger; Bernd Bischl; Andreas Bender 001; David Rügamer (SPACA, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. - Benjamín Gutiérrez-Becker; Ignacio Sarasua; Christian Wachinger (Medical Image Anal., 2021)

Detect and correct bias in multi-site neuroimaging datasets. - Christian Wachinger; Anna Rieckmann; Sebastian Pölsterl (Medical Image Anal., 2021)

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. - Fabian Bongratz; Anne-Marie Rickmann; Sebastian Pölsterl; Christian Wachinger (CVPR, 2022)

Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs. - Marla Narazani; Ignacio Sarasua; Sebastian Pölsterl; Aldana Lizarraga; Igor Yakushev; Christian Wachinger (MICCAI (1), 2022)

Joint Reconstruction and Parcellation of Cortical Surfaces. - Anne-Marie Rickmann; Fabian Bongratz; Sebastian Pölsterl; Ignacio Sarasua; Christian Wachinger (MLCN@MICCAI, 2022)

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. - Ignacio Sarasua; Sebastian Pölsterl; Christian Wachinger (MICCAI (1), 2022)

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies. - Anne-Marie Rickmann; Jyotirmay Senapati; Oksana P. Kovalenko; Annette Peters; Fabian Bamberg; Christian Wachinger (BMC Medical Imaging, 2022)

DAFT: A universal module to interweave tabular data and 3D images in CNNs. - Tom Nuno Wolf; Sebastian Pölsterl; Christian Wachinger; Alzheimer's Disease Neuroimaging Initiative; Australian Imaging Biomarkers Lifestyle flagship study of ageing (NeuroImage, 2022)

HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery. - Anne-Marie Rickmann; Murong Xu; Tom Nuno Wolf; Oksana P. Kovalenko; Christian Wachinger (IPMI, 2023)

Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. - Tom Nuno Wolf; Sebastian Pölsterl; Christian Wachinger (IPMI, 2023)

Vertex Correspondence in Cortical Surface Reconstruction. - Anne-Marie Rickmann; Fabian Bongratz; Christian Wachinger (MICCAI (8), 2023)

RegBN: Batch Normalization of Multimodal Data with Regularization. - Morteza Ghahremani; Christian Wachinger (NeurIPS, 2023)

Meshes Meet Voxels: Abdominal Organ Segmentation via Diffeomorphic Deformations. - Fabian Bongratz; Anne-Marie Rickmann; Christian Wachinger (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. - Tom Nuno Wolf; Fabian Bongratz; Anne-Marie Rickmann; Sebastian Pölsterl; Christian Wachinger (AAAI, 2024)

H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration. - Morteza Ghahremani; Mohammad Khateri; Bailiang Jian; Benedikt Wiestler; Ehsan Adeli 001; Christian Wachinger (CVPR, 2024)

PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models. - Yitong Li; Igor Yakushev; Dennis M. Hedderich; Christian Wachinger (MICCAI (7), 2024)

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data. - Yitong Li; Tom Nuno Wolf; Sebastian Pölsterl; Igor Yakushev; Dennis M. Hedderich; Christian Wachinger (MIDL, 2024)

MLV2-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel Segmentation. - Fabian Bongratz; Markus Karmann; Adrian Holz; Moritz Bonhoeffer; Viktor Neumaier; Sarah Deli; Benita Schmitz-Koep; Claus Zimmer; Christian Sorg; Melissa Thalhammer; Dennis M. Hedderich; Christian Wachinger (ML4H@NeurIPS, 2024)

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation. - Jiajun Wang; Morteza Ghahremani; Yitong Li; Björn Ommer; Christian Wachinger (NeurIPS, 2024)

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration. - Bailiang Jian; Jiazhen Pan; Morteza Ghahremani; Daniel Rueckert; Christian Wachinger; Benedikt Wiestler (WBIR, 2024)

V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence. - Fabian Bongratz; Jan Fecht; Anne-Marie Rickmann; Christian Wachinger (CoRR, 2024)

Stochastic Cortical Self-Reconstruction. - Christian Wachinger; Dennis M. Hedderich; Fabian Bongratz (CoRR, 2024)

MLV2-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel Segmentation. - Fabian Bongratz; Markus Karmann; Adrian Holz; Moritz Bonhoeffer; Viktor Neumaier; Sarah Deli; Benita Schmitz-Koep; Claus Zimmer; Christian Sorg; Melissa Thalhammer; Dennis M. Hedderich; Christian Wachinger (CoRR, 2024)

Neural deformation fields for template-based reconstruction of cortical surfaces from MRI. - Fabian Bongratz; Anne-Marie Rickmann; Christian Wachinger (Medical Image Anal., 2024)

3D Shape-to-Image Brownian Bridge Diffusion for Brain MRI Synthesis from Cortical Surfaces. - Fabian Bongratz; Yitong Li; Sama Elbaroudy; Christian Wachinger (IPMI (1), 2025)

DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET. - Yitong Li; Morteza Ghahremani; Youssef Wally; Christian Wachinger (WACV, 2025)

TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis. - Bailiang Jian; Jiazhen Pan; Yitong Li; Fabian Bongratz; Ruochen Li; Daniel Rueckert; Benedikt Wiestler; Christian Wachinger (CoRR, 2025)

WASUP: Interpretable Classification with Weight-Input Alignment and Class-Discriminative SUPports Vectors. - Tom Nuno Wolf; Christian Wachinger (CoRR, 2025)

MedBridge: Bridging Foundation Vision-Language Models to Medical Image Diagnosis. - Yitong Li; Morteza Ghahremani; Christian Wachinger (CoRR, 2025)

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation. - Emre Kavak; Tom Nuno Wolf; Christian Wachinger (CoRR, 2025)

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis. - Fabian Bongratz; Tom Nuno Wolf; Jaume Gual Ramon; Christian Wachinger (CoRR, 2025)

Organ-DETR: Organ Detection via Transformers. - Morteza Ghahremani; Benjamin Raphael Ernhofer; Jiajun Wang; Marcus Makowski; Christian Wachinger (IEEE Trans. Medical Imaging, 2025)

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. - Jiazhen Pan; Bailiang Jian; Paul Hager; Yundi Zhang; Che Liu; Friederike Jungmann; Hongwei Bran Li; Chenyu You; Junde Wu; Jiayuan Zhu; Fenglin Liu; Yuyuan Liu; et al. (CoRR, 2025)

Vertex Correspondence and Self-Intersection Reduction in Cortical Surface Reconstruction. - Anne-Marie Rickmann; Fabian Bongratz; Christian Wachinger (IEEE Trans. Medical Imaging, 2025)