Chang Liu
Chang Liu, M. Sc.
Academic CV
- Since 03/2020:
Researcher at Pattern Recognition Lab, FAU - Since 09/2016:
Student at FAU
Projects
No projects found.
Students Theses
Student | Title | Type | Status |
---|---|---|---|
Junliang Kang | Automated Configuration of U-Net Architecture for Medical Image Segmentation | MA thesis | running |
Yugashree Chaudhari | Automatic Data Augmentation for Multi organ Segmentation | MA thesis | finished |
Tianyi Wang | A disentangled representation strategy to enhance multi-organ segmentation in CT using multiple datasets | MA thesis | finished |
Dinuo wei | Latent Diffusion Model for CT Synthesis | Project | running |
Christopher Brückner | Evaluation of imperfect segmentation labels and the influence on deep learning models | BA thesis | finished |
Nazmus Sakib | Ground Truth based Convolution Kernel Initialization Method for Medical Image Segmentation | MA thesis | running |
Publications
2024
Journal Articles
Deep learning-based classification of erosion, synovitis and osteitis in hand MRI of patients with inflammatory arthritis
In: RMD Open 10 (2024)
ISSN: 2056-5933
DOI: 10.1136/rmdopen-2024-004273
BibTeX: Download
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Two-view topogram-based anatomy-guided CT reconstruction for prospective risk minimization
In: Scientific Reports 14 (2024), p. 1-11
ISSN: 2045-2322
DOI: 10.1038/s41598-024-59731-y
URL: https://www.nature.com/articles/s41598-024-59731-y
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Conference Contributions
Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 - March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_76
BibTeX: Download
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Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024 (Marrakesh, MAR, October 6, 2024 - October 10, 2024)
In: Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024
DOI: 10.1007/978-3-031-72111-3_14
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2023
Journal Articles
Clinical prototype implementation enabling an improved day-to-day mammography compression
In: Physica Medica 106 (2023), Article No.: 102524
ISSN: 1120-1797
DOI: 10.1016/j.ejmp.2023.102524
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Conference Contributions
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
In: The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023) 2023
DOI: 10.48550/arXiv.2307.07168
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Whole-Body Multi-Organ Segmentation Using Anatomical Attention
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, COL, April 18, 2023 - April 21, 2023)
In: Proceedings - International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230529
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2022
Journal Articles
Patient-specific radiation risk-based tube current modulation for diagnostic CT
In: Medical Physics (2022)
ISSN: 0094-2405
DOI: 10.1002/mp.15673
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Book Contributions
Multi-organ Segmentation with Partially Annotated Datasets
In: Bildverarbeitung für die Medizin 2022, Wiesbaden: Springer Vieweg, 2022, p. 216-221
ISBN: 9783658369316
DOI: 10.1007/978-3-658-36932-3_46
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Conference Contributions
Organ-Specific vs. Patient Risk-Specific Tube Current Modulation in Thorax CT Scans Covering the Female Breast
7th International Conference on Image Formation in X-Ray Computed Tomography (Virtual, Online, June 12, 2022 - June 16, 2022)
In: Joseph Webster Stayman (ed.): Proceedings of SPIE - The International Society for Optical Engineering 2022
DOI: 10.1117/12.2646582
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2021
Conference Contributions
Differential diagnosis of RA and PsA using neural networks on 3D bone shape of finger joints
EULAR 2021 Congress (Paris, June 2, 2021 - June 5, 2021)
In: Annals of the Rheumatic Diseases 2021 2021
DOI: 10.1136/annrheumdis-2021-eular.383
URL: https://ard.bmj.com/content/80/Suppl_1/86
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2020
Conference Contributions
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (, October 31, 2020 - November 7, 2020)
In: Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization 2020
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Lectures
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