diff --git a/_bibliography/jlesc.bib b/_bibliography/jlesc.bib
index 1542fbf7..5eb00303 100644
--- a/_bibliography/jlesc.bib
+++ b/_bibliography/jlesc.bib
@@ -1533,4 +1533,14 @@ @ARTICLE{GaikwadEtAl2024
   primaryClass = {physics.ao-ph},
 }
 
+@article{liu2024refining,
+  title={Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations},
+  author={Liu, Xin and R{\"u}ttgers, Mario and Quercia, Alessio and Egele, Romain and Pfaehler, Elisabeth and Shende, Rushikesh and Aach, Marcel and Schr{\"o}der, Wolfgang and Balaprakash, Prasanna and Lintermann, Andreas},
+  journal={Future Generation Computer Systems},
+  volume={159},
+  pages={474--488},
+  year={2024},
+  publisher={Elsevier}
+}
+
 
diff --git a/collections/_projects/hyperp_sr_project.md b/collections/_projects/hyperp_sr_project.md
index d01f3dfb..2192ed89 100644
--- a/collections/_projects/hyperp_sr_project.md
+++ b/collections/_projects/hyperp_sr_project.md
@@ -2,7 +2,7 @@
 layout: post
 title: Architecture and Hyperparameter Search for Super-Resolution Networks Operating on Medical Images
 date: 2022-12-13
-updated: 2024-01-26
+updated: 2025-01-16
 navbar: Research
 subnavbar: Projects
 project_url:
@@ -39,18 +39,23 @@ The dataset consists of CT head recording from 65 patients. HR images were 1mm t
 ## Results for 2023/2024
 In 2023, we started a collaboration with IAS-8 (Data Analytics and Machine Learning) in Forschungszentrum Jülich, to include a data efficient training method {% cite quercia2023 --file external/hyperp_sr_project.bib %} to bias SGD towards more relevant image regions, leading to faster convergence and more stable results. By the end of 2023, we summarized current results and submitted to the JLESC special issue. In addition, a webpage applction has been under development using the JSC Coud computing resources, to allow users upload their coarse CT head data and make prediction of fine CT data uisng the SRN developed in this project.
 
+## Results for 2024/2025
+In 2024, the submitted manuscript was published in the JLESC special issue of the journal Future Generation Computer Systems. Furthermore, the prototype of aforementioned webpage applction was developed and access policy is under discussion with Data Protection Officer in JSC, in order to be publsihed on JSC Coud computing platform.
+
 ## Visits and meetings
 * 28-30, Sep 2022: Mario Rüttgers participated in 14th JLESC Workshop at The University of Illinois at Urbana-Champaign and started the collaboration
 * Project members had online kick-off meetings for detailed plans, and meet regularly to discuss progress
 * 21-23, Mar 2023: Xin Liu participated in 15th JLESC Workshop at INRIA Bordeaux to present project progress
+* 16-18, Apr 2024: Xin Liu participated in 16th JLESC Workshop at R-CCS, Kobe to present project progress
 
 ## Impact and publications
+The outcome of the project was published in the JLESC special issue of Future Generation Computer Systems. {% cite liu2024refining --file jlesc.bib %}
+
 {% bibliography --cited --file jlesc.bib %}
 
 ## Future plans
 * Collection of best-practice methods for architecture and hyperparameter search for SRNs using different frameworks
 * Deployment of DH as a standard module for HPC systems at JSC
-* Manuscript for the special issue journal publication in the framework of the 15th JLESC workshop in Bordeaux, France
 * Develop and maintain the webpage application
 
 ## References