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ORCIDDuc Duy Pham
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Books and Theses
- 2023
[b1]Duc Duy Pham:
Anatomical Priors for Fully Automated Medical Image Segmentation. Essen University, Germany, 2023
Journal Articles
- 2023
- [j2]Duc Duy Pham
, Trong Hieu Luu, Le Trung Chanh Tran, Hoai Trang Nguyen Thi, Hoang-Long Cao:
Exploring Learning Curves in Acupuncture Education Using Vision-Based Needle Tracking. Multimodal Technol. Interact. 7(7): 69 (2023) - 2021
- [j1]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021)
Conference and Workshop Papers
- 2022
- [c14]Gurbandurdy Dovletov, Duc Duy Pham, Josef Pauli, Marcel Gratz, Harald H. Quick:
Improved MRI-based Pseudo-CT Synthesis via Segmentation Guided Attention Networks. BIOIMAGING 2022: 131-140 - [c13]Gurbandurdy Dovletov, Duc Duy Pham, Stefan Lörcks, Josef Pauli, Marcel Gratz, Harald H. Quick:
Grad-CAM Guided U-Net for MRI-based Pseudo-CT Synthesis. EMBC 2022: 2071-2075 - 2021
- [c12]Duc Duy Pham, Gurbandurdy Dovletov, Josef Pauli:
Using Anatomical Priors for Deep 3D One-shot Segmentation. BIOIMAGING 2021: 174-181 - [c11]Duc Duy Pham, S. M. Koesnadi, Gurbandurdy Dovletov, Josef Pauli:
Unsupervised Adversarial Domain Adaptation for Multi-Label Classification of Chest X-Ray. ISBI 2021: 1236-1240 - 2020
- [c10]Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Serong, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Multitask-Learning for the Extraction of Avascular Necrosis of the Femoral Head in MRI. Bildverarbeitung für die Medizin 2020: 150-155 - [c9]Duc Duy Pham, Melanie Lausen, Gurbandurdy Dovletov, Sebastian Serong, Stefan Landgräber, Marcus Jäger, Josef Pauli:
U-Net in Constraint Few-Shot Settings. Bildverarbeitung für die Medizin 2020: 280-285 - [c8]Duc Duy Pham, Gurbandurdy Dovletov, Josef Pauli:
A Differentiable Convolutional Distance Transform Layer for Improved Image Segmentation. GCPR 2020: 432-444 - [c7]Duc Duy Pham, Jonas Müller, Piush Aggarwal, Amit Khatri, Mayank Sharma, Torsten Zesch, Josef Pauli:
Fully vs. Weakly Supervised Caries Localization in Smartphone Images with CNNs. ICPR Workshops (1) 2020: 321-336 - [c6]Duc Duy Pham, Gurbandurdy Dovletov, Josef Pauli:
Liver Segmentation in CT with MRI Data: Zero-Shot Domain Adaptation by Contour Extraction and Shape Priors. ISBI 2020: 1538-1542 - 2019
- [c5]Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Gradient-Based Expanding Spherical Appearance Models for Femoral Model Initialization in MRI. Bildverarbeitung für die Medizin 2019: 43-48 - [c4]Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Deep Segmentation Refinement with Result-Dependent Learning - A Double U-Net for Hip Joint Segmentation in MRI. Bildverarbeitung für die Medizin 2019: 49-54 - [c3]Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Deep Learning With Anatomical Priors: Imitating Enhanced Autoencoders In Latent Space For Improved Pelvic Bone Segmentation In MRI. ISBI 2019: 1166-1169 - 2018
- [c2]Duc Duy Pham, Cosmin Adrian Morariu, Tobias Terheiden, Sebastian Warwas, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Polar appearance models: A fully automatic approach for femoral model initialization in MRI. ISBI 2018: 1002-1005 - 2017
- [c1]Duc Duy Pham, Cosmin Adrian Morariu, Tobias Terheiden, Stefan Landgräber, Marcus Jäger, Josef Pauli:
MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach. VCBM 2017: 113-117
Informal and Other Publications
- 2020
- [i2]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - 2019
- [i1]Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI. CoRR abs/1903.09263 (2019)
Coauthor Index
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