Tobias Norajitra

According to our database1, Tobias Norajitra authored at least 21 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
RPTK: The Role of Feature Computation on Prediction Performance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
C-arm positioning for standard projections during spinal implant placement.
Medical Image Anal., 2022

Abstract: C-arm Positioning for Spinal Standard Projections in Different Intra-operative Settings.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019
Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018
Robust and Independent 3D Statistical Shape Models for Medical Image Segmentation
PhD thesis, 2018

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.
CoRR, 2018

Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection.
IEEE Trans. Medical Imaging, 2017

2016
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

2014
Active shape models incorporating isolated landmarks for medical image annotation.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2012
Volumenänderung der Leber im Schweinemodell für Operationsplanung und intraoperativ Computerassistenz.
Proceedings of the 11. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2012


  Loading...