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Tobias Norajitra
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2020 – today
- 2024
- [c17]Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD. Bildverarbeitung für die Medizin 2024: 115 - [c16]Jonas R. Bohn
, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heußel, Tobias Norajitra:
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance. Bildverarbeitung für die Medizin 2024: 129 - [i3]Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein:
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation. CoRR abs/2406.03323 (2024) - 2023
- [c15]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement. Bildverarbeitung für die Medizin 2023: 10 - [c14]Silvia Dias Almeida
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations. MICCAI (5) 2023: 33-43 - [c13]Jonas R. Bohn
RPTK: The Role of Feature Computation on Prediction Performance. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 113-122 - [i2]Silvia Dias Almeida
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations. CoRR abs/2307.07254 (2023) - 2022
- [j2]Lisa Kausch
C-arm positioning for standard projections during spinal implant placement. Medical Image Anal. 81: 102557 (2022) - [c12]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: C-arm Positioning for Spinal Standard Projections in Different Intra-operative Settings. Bildverarbeitung für die Medizin 2022: 127 - 2021
- [c11]Lisa Kausch, Sarina Thomas, Holger Kunze
C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings. MICCAI (4) 2021: 352-362
2010 – 2019
- 2019
- [c10]Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin 2019: 22 - [c9]Tobias Stein, Jasmin Metzger, Jonas Scherer, Fabian Isensee, Tobias Norajitra, Jens Kleesiek, Klaus H. Maier-Hein, Marco Nolden:
Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images. Bildverarbeitung für die Medizin 2019: 158-163 - 2018
- [b1]Tobias Norajitra:
Robust and Independent 3D Statistical Shape Models for Medical Image Segmentation. Karlsruhe University, Germany, 2018 - [c8]Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz
Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data. Bildverarbeitung für die Medizin 2018: 315 - [i1]Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR abs/1809.10486 (2018) - 2017
- [j1]Tobias Norajitra, Klaus H. Maier-Hein:
3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection. IEEE Trans. Medical Imaging 36(1): 155-168 (2017) - 2016
- [c7]Tobias Norajitra, Sandy Engelhardt, Thomas Held, Sameer Al-Maisary, Raffaele De Simone, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung. Bildverarbeitung für die Medizin 2016: 56-61 - [c6]Michael Götz
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data. Medical Imaging: Image Processing 2016: 97841I - 2015
- [c5]Eric Heim, Tobias Roß, Tobias Norajitra, Marco Nolden, Keno März, Daniel Kondermann, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein:
Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen. CURAC 2015: 37-42 - [c4]Tobias Norajitra, Hans-Peter Meinzer, Klaus H. Maier-Hein:
3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation. Medical Imaging: Computer-Aided Diagnosis 2015: 941406 - [c3]Peter F. Neher
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. MICCAI (1) 2015: 45-52 - 2014
- [c2]Tobias Norajitra, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Active shape models incorporating isolated landmarks for medical image annotation. Medical Imaging: Computer-Aided Diagnosis 2014: 90353J - 2012
- [c1]Anas Preukschas, S. Bihani, Nadine Bellemann, Hannes Götz Kenngott, Tobias Norajitra, Bastian Graser, Matthias Gondan, Felix Nickel, Beat P. Müller-Stich:
Volumenänderung der Leber im Schweinemodell für Operationsplanung und intraoperativ Computerassistenz. CURAC 2012: 259-262
Coauthor Index
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