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IEEE Transactions on Medical Imaging|August 20, 2016
3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark DetectionTobias Norajitra, Klaus H Maier-Hein
Medical Image Analysis|December 10, 2024
Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregationMaximilian Zenk, David Zimmerer, Fabian Isensee, et al.
Diagnostics (Basel, Switzerland)|June 27, 2024
MRI-Derived Dural Sac and Lumbar Vertebrae 3D Volumetry Has Potential for Detection of Marfan SyndromeOmar Naas, Tobias Norajitra, Christian Lückerath, et al.
The Spine Journal : Official Journal of the North American Spine Society|May 18, 2022
Development and validation of an automated planning tool for navigated lumbosacral pedicle screws using a convolutional neural networkMoritz Scherer, Lisa Kausch, Basem Ishak, et al.
Urologia Internationalis|February 9, 2026
Radiomics for the Prediction of Postoperative Chronic Kidney Disease in Renal Tumor Patients undergoing Surgical ResectionJulius C Holzschuh, Jonas Bohn, Tobias Norajitra, et al.
Tomography (Ann Arbor, Mich.)|December 24, 2025
Evaluation of Projection Images for Visual Quality Control of Automated Left and Right Lung Segmentations on T1-Weighted MRI in Large-Scale Clinical Cohort StudiesTobias Norajitra, Christopher L Schlett, Ricarda von Krüchten, et al.
Medical Image Analysis|August 7, 2022
C-arm positioning for standard projections during spinal implant placementLisa Kausch, Sarina Thomas, Holger Kunze, et al.
Insights Into Imaging|August 7, 2024
How do deep-learning models generalize across populations? Cross-ethnicity generalization of COPD detectionSilvia D Almeida, Tobias Norajitra, Carsten T Lüth, et al.
European Radiology|December 27, 2023
Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CTSilvia D Almeida, Tobias Norajitra, Carsten T Lüth, et al.
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