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Dipl.-Ing. David Major

Scientific Expert

David Major ist Forscher in der Biomedical Image Informatics-Forschungsgruppe.

Forschungsgruppe

Biomedical Image Informatics

Portraitfoto von David Major

+43 1 908 98 92 major(at)vrvis.at

Awards

eAward Künstliche Intelligenz
VRVis erhält den eAward 2021 in der Kategorie
Neue KI-Methode des VRVis, die Vertrauen in computergestützte Diagnosen stärkt, erhält den eAward 2021.
AGFA Ship-it Day
1. Platz beim AGFA-internen Hackathon zum Thema "Smart Linking"
Ein Team aus VRVis- und AGFA-Mitarbeiter:innen gewann beim letzten AGFA Healthcare Ship-it Day des Jahres.

Publikationen

M. Dietrichstein, D. Major, M. Trapp, M. Wimmer, D. Lenis, P. Winter, A. Berg, T. Neubauer, K. Bühler (2022)
Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans
Deep Generative Models. DGM4MICCAI 2022. Lecture Notes in Computer Science, vol 13609.
Bibtex
M. Wimmer, G. Sluiter, D. Major, D. Lenis, A. Berg, T. Neubauer, K. Bühler (2021)
Multi-task fusion for improving mammography screening data classification
IEEE Transactions on Medical Imaging
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D. Lenis, D. Major, M. Wimmer, A. Berg, G. Sluiter, K. Bühler (2020)
Domain aware medical image classifier interpretation by counterfactual impact analysis
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020
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T. Neubauer, M. Wimmer, A. Berg, D. Major, D. Lenis, T. Beyer, J. Saponjski, K. Bühler (2020)
Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data
"Multimodal Learning for Clinical Decision Support" Workshop of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020
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D. Major, D. Lenis, M. Wimmer, G. Sluiter, A. Berg, K. Bühler (2020)
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
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A. A. Novikow, D. Major, M. Wimmer, D. Lenis, K. Bühler (2018)
Deep Sequential Segmentation of Organs in Volumetric Medical Scans
IEEE Transactions on Medical Imaging
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M. Wimmer, D. Major, A. A. Novikow, K. Bühler (2018)
Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images
International Journal of Computer Assisted Radiology and Surgery
Bibtex
A. A. Novikow, D. Lenis, D. Major, J. Hladůvka, M. Wimmer, K. Bühler (2018)
Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs
IEEE Transactions on Medical Imaging
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A. A. Novikow, D. Major, M. Wimmer, G. Sluiter, K. Bühler (2017)
Automated Anatomy-Based Tracking of Systemic Arteries in Arbitrary Field-of-View CTA Scans
IEEE Transactions on Medical Imaging
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M. Wimmer, D. Major, A. A. Novikow, K. Bühler (2016)
Local entropy-optimized texture models for semi-automatic spine labeling in various MRI protocols
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
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A. A. Novikow, M. Wimmer, D. Major, K. Bühler (2015)
A Two-Level Cascade Classification Algorithm for Real-Time Bifurcation Detection in CTA Images of Blood Vessels
Proceedings of VCBM 2015
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D. Major, A. A. Novikow, M. Wimmer, J. Hladůvka, K. Bühler (2015)
Automated Slice-Based Artery Identification in VariousField-of-View CTA Scans
Proceedings of VCBM 2015
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J. Hladůvka, D. Major, K. Bühler (2014)
Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans
Proceedings of 2nd MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging 2014 / Lecture Notes in Computational Vision and Biomechanics, Volume 20, 2015
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D. Major, J. Hladůvka, F. Schulze, K. Bühler (2013)
Automated Landmarking and Labeling of Fully and Partially Scanned Spinal Columns in CT Images
In Medical Image Analysis
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D. Major, J. Hladůvka, K. Bühler (2013)
Automated labeling framework applied on full and partial spine CT scans
Abstract and Presentation at ECR 2013
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K. Bühler, D. Major, J. Hladůvka, R. Wegenkittl (2013)
Towards Instant Computational Support for Interactive Diagnosis
ECR Today, 10 March 2013
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D. Major, F. Schulze, J. Hladůvka, K. Bühler (2012)
Highly Optimized Landmark Localization in Medical Images
Poster in Proceedings of ICVSS 2012
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F. Schulze, D. Major, K. Bühler (2011)
Fast and Memory Efficient Feature Detection using Multiresolution Probabilistic Boosting Trees
Proceedings of the 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2011)
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