Update README.md

Author: Ahmed-Rekik-99

PW45_2026_Boston/Projects/Vox2SeglamProtocolGuidedSubcorticalSegmentationIn3DSlicer/README.md

@@ -85,7 +85,7 @@ key_investigators:
 - **Figure 2.** Per-region Dice coefficients (26 structures), mean Dice = 0.908.
 <img width="1211" height="329" alt="Image" src="https://github.com/user-attachments/assets/29ddd03b-05c2-42de-9830-0f0201ebf5d1" />
 
-- **Figure 3.** Per-landmark mean localization error (mm): strict ("Classic", 1.1 mm) vs. anatomically-tolerant evaluation (1.4 mm).
+- **Figure 3.** Per-landmark mean localization error (mm): strict ("Classic", 1.4 mm) vs. anatomically-tolerant evaluation (1.1 mm).
 <img width="1212" height="330" alt="Image" src="https://github.com/user-attachments/assets/94fb3db5-c38d-47d7-be8b-79b114278796" />
 
 - **Figure 4.** Visual example on in-domain test data:
@@ -97,6 +97,14 @@ key_investigators:
 
 # Results
 
+During this Project Week, we achieved the following:
+
+- **Remote hub deployment:** The Vox2SegLAM pipeline was successfully deployed into a remote hub-based infrastructure, enabling users to run inference online without any local installation. The system is functional, and optimization of processing time is ongoing. Special thanks to Martin Bellehumeur for his collaboration on this part.
+
+- **Expert feedback and model evaluation:** We had the opportunity to receive feedback from Professor Jarrett Rushmore on the automatic predictions generated by the pipeline. This allowed us to identify the current limitations of the model, which will be extremely valuable for future refinements.
+
+- **3D Slicer extension:** We developed a 3D Slicer extension that allows users to run the Vox2SegLAM pipeline directly and obtain both subcortical segmentations and anatomical landmark predictions. Experts can then interactively refine the results to produce segmentations that respect neuroanatomical protocols and anatomical constraints. The framework is designed to be flexible and support different protocols, with the current implementation configured by default for the Harvard-Oxford Atlas protocol.
+- 
 - **Video.** Full workflow demo — hub-based remote inference deployment (VolView/CastInterface) followed by the Vox2SegLAM pipeline end-to-end:
 
    <video