Browsing Universitätsbibliographie by Author "Baumgartner, Christian F."

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A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta)

Baumgartner, Christian F.; Jaques, Arthur; Woerner, Stefano (2024)
Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations

Morshuis, Jan Nikolas; Gatidis, Sergios; Hein, Matthias; Baumgartner, Christian F. (2022)
Agreement and accuracy of fully automated morphometric femorotibial cartilage analysis in radiographic knee osteoarthritis

Baumgartner, Christian F.; Wirth, Wolfgang; Kemnitz, Jana; Chaudhari, Akshay S.; Eckstein, Felix (2023)
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals

Baumgartner, Christian F.; Koch, Lisa M.; Maier, Andreas; Woerner, Stefano; Sun, Susu (2024)
Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound

Sinclair, Matthew D.; Martinez, Juan Cerrolaza; Skelton, Emily; Li, Yuanwei; Baumgartner, Christian F.; Bai, Wenjia; Matthew, Jacqueline; Knight, Caroline L.; Smith, Sandra; Hajnal, Jo; King, Andrew P.; Kainz, Bernhard; Rueckert, Daniel (2022)
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images

Baumgartner, Christian F.; Berens, Philipp; Gretton, Arthur; Schürch, Christian M.; Koch, Lisa M. (2023)
Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep-Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative

Eckstein, Felix; Chaudhari, Akshay S.; Fuerst, David; Gaisberger, Martin; Kemnitz, Jana; Baumgartner, Christian F.; Konukoglu, Ender; Hunter, David J.; Wirth, Wolfgang (2020)
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study

Berens, Philipp; Baumgartner, Christian F.; Koch, Lisa M. (2024)
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals

Baumgartner, Christian F.; Koch, Lisa M.; Maier, Andreas; Woerner, Stefano; Sun, Susu (2023)
K2S Challenge: From Undersampled K-Space to Automatic Segmentation

Tolpadi, Aniket A.; Bharadwaj, Upasana; Gao, Kenneth T.; Bhattacharjee, Rupsa; Gassert, Felix G.; Luitjens, Johanna; Giesler, Paula; Morshuis, Jan Nikolas; Fischer, Paul; Hein, Matthias; Baumgartner, Christian F.; Razumov, Artem; Dylov, Dmitry; van Lohuizen, Quintin; Fransen, Stefan J.; Zhang, Xiaoxia; Tibrewala, Radhika; de Moura, Hector Lise; Liu, Kangning; Zibetti, Marcelo V. W.; Regatte, Ravinder; Majumdar, Sharmila; Pedoia, Valentina (2023)
K2S Challenge: From Undersampled K-Space to Automatic Segmentation

Hein, Matthias; Tolpadi, Aniket A.; Upadhyay Bharadwaj, Upasana; Gao, Kenneth T.; Bhattacharjee, Rupsa; Gassert, Felix G.; Luitjens, Johanna; Gielser, Paula; Morshuis, Jan Nikolas; Fischer, Paul; Baumgartner, Christian F.; Razumov, Artem; Dylov, Dmitry; van Lohuizen, Quintin; Fransen, Stefan J.; Zhang, Xiaoxia; Tibrewala, Radhika; de Moura, Hector Lise; Liu, Kangning; Wust Zibetti, Marcelo Victor (2023)
K2S Challenge: From Undersampled K-Space to Automatic Segmentation

Baumgartner, Christian F.; Tolpadi, Aniket Anil; Bharadwaj, Upasana Upadhyay; Gao, Kenneth T.; Gassert, Felix G.; Luitjens, Johanna; Giesler, Paula; Morshuis, Jan Nikolas; Fischer, Paul; Heim, Matthias; Razumov, Artem; Dylov, Dmitry V.; van Lohuizen, Quintin; Fransen, Stefan; Zhang, Xiaoxia; Tibrewala, Radhika; de Moura, Hector Lise; Liu, Kangning; Wust Zibetti, Marcelo Victor; Regatte, Ravinder R.; Majumdar, Sharmila; Pedoia, Valentina (2023)
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach

Baumgartner, Christian F.; Berens, Philipp; Koch, Lisa M.; Faber, Hanna; Wunderlich, Stephan; Fischer, Paul; Wundram, Anna M. (2024)
MedIMeta: An easy-to-use meta-dataset for medical imaging applications

Baumgartner, Christian F.; Woerner, Stefano; Jaques, Arthur (2024)
MRExtrap: Linear Prediction of Brain Aging in Autoencoder Latent Space of MRI Scans

Kapoor, Jaivardhan; Macke, Jakob H.; Baumgartner, Christian F. (2024)
MRExtrap: Linear Prediction of Brain Aging in Autoencoder Latent Space of MRI Scans

Baumgartner, Christian F.; Macke, Jakob H.; Kapoor, Jaivardhan (2024)
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis

Baumgartner, Christian F.; Macke, Jakob H.; Kapoor, Jaivardhan (2023)
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis

Baumgartner, Christian F.; Macke, Jakob H.; Kapoor, Jaivardhan (2023)
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?

Baumgartner, Christian F.; Koch, Lisa M.; Sun, Susu (2023)
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior

Tezcan, Kerem C.; Karani, Neerav; Baumgartner, Christian F.; Konukoglu, Ender (2022)

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