Chang Liu

Erlangen National High-Performance Computing Center (NHR@FAU)

Research associates

Address

Martensstraße 3 91058 Erlangen

Contact

Email: chang.ch.liu@fau.de

Since 03/2020: Researcher at Pattern Recognition Lab, FAU
Since 09/2016: Student at FAU

No projects found.

Student	Title	Type	Status
Yaqiong Ni	Deep Learning-Based Breast Cancer Risk Stratification Using Multiple Instance Learning on LDCT Scans	MA thesis	finished
Yan Wang	Improving manual annotation of 3D medical segmentation dataset using SAM2	MA thesis	finished
Junliang Kang	Automated Configuration of U-Net Architecture for Medical Image Segmentation	MA thesis	finished
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	finished

2025

Journal Articles

Kemenes S., Liu C., Schlereth M., Noversa de Sousa R., Minopoulou I., Fenzl P., Corte G., Mutlu MY., Höner M., Sagonas I., Coppers B., Liphardt AM., Simon D., Kleyer A., Folle L., Sticherling M., Schett G., Maier A., Fagni F.:
Advancement and independent validation of a deep learning-based tool for automated scoring of nail psoriasis severity using the modified nail psoriasis severity index
In: Frontiers in Medicine 12 (2025), Article No.: 1574413
ISSN: 2296-858X
DOI: 10.3389/fmed.2025.1574413
BibTeX: Download

Conference Contributions

Liu C., Fan F., Schwarz A., Maier A.:
Anatomy-aware Data Augmentation for Multi-organ Segmentation in CT: AnatoMix
German Conference on Medical Image Computing, 2025 (Regensburg, March 9, 2025 - March 11, 2025)
In: Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff (ed.): Bildverarbeitung für die Medizin 2025. Proceedings, German Conference on Medical Image Computing, Regensburg March 09-11, 2025, Wiesbaden: 2025
DOI: 10.1007/978-3-658-47422-5_29
BibTeX: Download

2024

Journal Articles

Schlereth M., Mutlu MY., Utz J., Bayat S., Heimann T., Qiu J., Ehring C., Liu C., Uder M., Kleyer A., Simon D., Roemer F., Schett G., Breininger K., Fagni F.:
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
Liu C., Klein L., Huang Y., Baader E., Lell MM., Kachelrieß M., Maier A.:
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
BibTeX: Download

Conference Contributions

Wang T., Liu C., Rist L., Maier A.:
Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning