Automatische Bestimmung von 2D/3D-Korrespondenzen in Mammographie- und Tomosynthese-Bilddaten. - Julia Krüger; Jan Ehrhardt; Arpad Bischof; Jörg Barkhausen; Heinz Handels (Bildverarbeitung für die Medizin, 2012)

Automatic correspondence detection in mammogram and breast tomosynthesis images. - Jan Ehrhardt; Julia Krüger; Arpad Bischof; Jörg Barkhausen; Heinz Handels (Image Processing, 2012)

Simulation mammographischer Brustkompression zur Generierung von MRT-Projektionsbildern. - Julia Krüger; Jan Ehrhardt; Arpad Bischof; Heinz Handels (Bildverarbeitung für die Medizin, 2013)

Breast compression simulation using ICP-based B-spline deformation for correspondence analysis in mammography and MRI datasets. - Julia Krüger; Jan Ehrhardt; Arpad Bischof; Heinz Handels (Image Processing, 2013)

Statistical shape and appearance models without one-to-one correspondences. - Jan Ehrhardt; Julia Krüger; Heinz Handels (Image Processing, 2014)

Simulation of mammographic breast compression in 3D MR images using ICP-based B-spline deformation for multimodality breast cancer diagnosis. - Julia Krüger; Jan Ehrhardt; Arpad Bischof; Heinz Handels (Int. J. Comput. Assist. Radiol. Surg., 2014)

Ideal Types of Users based on Subjective Experiences of Individualization-focused User-Companion Interaction. - Julia Krüger; Mathias Wahl; Jörg Frommer (ISCT, 2015)

Well-intended, but not Well Perceived: Anger and Shame in Reaction to an Affect-oriented Intervention Applied in User-Companion Interaction. - Mathias Wahl; Julia Krüger; Jörg Frommer (ISCT, 2015)

Probabilistic Appearance Models for Segmentation and Classification. - Julia Krüger; Jan Ehrhardt; Heinz Handels (ICCV, 2015)

NaLMC: A Database on Non-acted and Acted Emotional Sequences in HCI. - Kim Hartmann; Julia Krüger; Jörg Frommer; Andreas Wendemuth (ICMI, 2015)

Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods. - Matthias Wilms; Julia Krüger; Mirko Marx; Jan Ehrhardt; Arpad Bischof; Heinz Handels (Computer-Aided Diagnosis, 2015)

Speech Matters - Psychological Aspects of Artificial versus Anthropomorphic System Voices in User-Companion Interaction. - Swantje Ferchow; Matthias Haase; Julia Krüger; Matthias Vogel; Mathias Wahl; Jörg Frommer (HCI (18), 2016)

Smiling in a Wizard of Oz Experiment: Emotional vs. Social Smiles, General Effects and Sex Differences. - Martin Krippl; Matthias Haase; Julia Krüger; Jörg Frommer (HCI (1), 2016)

Users' Relational Ascriptions in User-Companion Interaction. - Julia Krüger; Mathias Wahl; Jörg Frommer (HCI (3), 2016)

Discourse Particles in Human-Human and Human-Computer Interaction - Analysis and Evaluation. - Ingo Siegert; Julia Krüger; Matthias Haase; Alicia Flores Lotz; Stephan Günther; Jörg Frommer; Dietmar F. Rösner; Andreas Wendemuth (HCI (1), 2016)

Users' Sense-Making of an Affective Intervention in Human-Computer Interaction. - Mathias Wahl; Julia Krüger; Jörg Frommer (HCI (3), 2016)

Multi-level approach for statistical appearance models with probabilistic correspondences. - Julia Krüger; Jan Ehrhardt; Heinz Handels (Image Processing, 2016)

Desiderata for the Design of Companion Systems - Insights from a Large Scale Wizard of Oz Experiment. - Dietmar F. Rösner; Matthias Haase; Thomas Bauer; Stephan Günther; Julia Krüger; Jörg Frommer (Künstliche Intell., 2016)

Accelerating manual annotation of filled pauses by automatic pre-selection. - Olga Egorow; Alicia Flores Lotz; Ingo Siegert; Ronald Böck; Julia Krüger; Andreas Wendemuth (ICCT, 2017)

Statistical appearance models based on probabilistic correspondences. - Julia Krüger; Jan Ehrhardt; Heinz Handels (Medical Image Anal., 2017)

LAST MINUTE: An Empirical Experiment in User-Companion Interaction and Its Evaluation. - Jörg Frommer; Dietmar F. Rösner; Rico Andrich; Rafael Friesen; Stephan Günther; Matthias Haase; Julia Krüger (Companion Technology, 2017)

Abstract: Probabilistic Appearance Models for Medical Image Analysis. - Julia Krüger; Jan Ehrhardt; Heinz Handels (Bildverarbeitung für die Medizin, 2018)

Subjektives Nutzererleben in der Mensch-Computer-Interaktion: beziehungsrelevante Zuschreibungen gegenüber Companion-Systemen am Beispiel eines Individualisierungsdialogs. - Julia Krüger (Verlag Barbara Budrich, 2018)

A probabilistic approach for the registration of images with missing correspondences. - Julia Krüger; Jan Ehrhardt; Sandra Schultz; Heinz Handels (Image Processing, 2019)

Bayesian inference for uncertainty quantification in point-based deformable image registration. - Sandra Schultz; Julia Krüger; Heinz Handels; Jan Ehrhardt (Image Processing, 2019)

Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs. - Nils Gessert; Julia Krüger; Roland Opfer; Ann-Christin Ostwaldt; Praveena Manogaran; Hagen H. Kitzler; Sven Schippling; Alexander Schlaefer (Comput. Medical Imaging Graph., 2020)

4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation. - Nils Gessert; Marcel Bengs; Julia Krüger; Roland Opfer; Ann-Christin Ostwaldt; Praveena Manogaran; Sven Schippling; Alexander Schlaefer (CoRR, 2020)

Registration with probabilistic correspondences - Accurate and robust registration for pathological and inhomogeneous medical data. - Julia Krüger; Sandra Schultz; Heinz Handels; Jan Ehrhardt (Comput. Vis. Image Underst., 2020)

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI. - Marcel Bengs; Finn Behrendt; Julia Krüger; Roland Opfer; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2021)

Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework. - Ingo Siegert; Norman Weißkirchen; Julia Krüger; Oleg Akhtiamov; Andreas Wendemuth (Cogn. Syst. Res., 2021)

3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI. - Marcel Bengs; Finn Behrendt; Julia Krüger; Roland Opfer; Alexander Schlaefer (CoRR, 2021)

Music-Guided Imagination and Digital Voice Assistant - Study Design and First Results on the Application of Voice Assistants for Music-Guided Stress Reduction. - Ingo Siegert; Matthias Busch; Susanne Metzner; Florian Junne; Julia Krüger (HCI (36), 2022)

Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data. - Finn Behrendt; Marcel Bengs; Frederik Rogge; Julia Krüger; Roland Opfer; Alexander Schlaefer (ISBI, 2022)

Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction. - Marcel Bengs; Finn Behrendt; Max-Heinrich Laves; Julia Krüger; Roland Opfer; Alexander Schlaefer (Computer-Aided Diagnosis, 2022)

Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (CoRR, 2022)

User Perspective on Anonymity in Voice Assistants. - Matthias Haase; Julia Krüger; Ingo Siegert (HCI (42), 2023)

Voice Assistants for Therapeutic Support - A Literature Review. - Ingo Siegert; Matthias Busch; Susanne Metzner; Julia Krüger (HCI (42), 2023)

Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (ISBI, 2023)

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (MIDL, 2023)

Abstract: Focused Unsupervised Image Registration for Structure-specific Population Analysis. - Jan Ehrhardt; Hristina Uzunova; Paul Kaftan; Julia Krüger; Roland Opfer; Heinz Handels (Bildverarbeitung für die Medizin, 2024)

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. - Finn Behrendt; Debayan Bhattacharya; Lennart Maack; Julia Krüger; Roland Opfer; Robin Mieling; Alexander Schlaefer (ISBI, 2024)

Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection. - Finn Behrendt; Debayan Bhattacharya; Robin Mieling; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (MICCAI (11), 2024)

Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs. - Finn Behrendt; Debayan Bhattacharya; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (MIDL, 2024)

Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning. - Roland Opfer; Tjalf Ziemssen; Julia Krüger; Thomas Buddenkotte; Lothar Spies; Carola Gocke; Matthias Schwab; Ralph Buchert (Comput. Biol. Medicine, 2024)

CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration. - Thomas Buddenkotte; Roland Opfer; Julia Krüger; Alessa Hering; Mireia Crispin-Ortuzar (CoRR, 2024)

BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI. - Roland Opfer; Julia Krüger; Thomas Buddenkotte; Lothar Spies; Finn Behrendt; Sven Schippling; Ralph Buchert (Int. J. Comput. Assist. Radiol. Surg., 2024)

Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs. - Finn Behrendt; Debayan Bhattacharya; Robin Mieling; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (Comput. Biol. Medicine, 2025)