diff --git a/_applications/2026-cardiac-pathology.md b/_applications/2026-cardiac-pathology.md
index 44eb5049dde4..2b6e3607b894 100644
--- a/_applications/2026-cardiac-pathology.md
+++ b/_applications/2026-cardiac-pathology.md
@@ -50,7 +50,7 @@ This section presents the tutorials to use the methods combining Artificial Inte
The complete step-by-step tutorials are available in the [*Diagnosis tutorial*](https://modelflows.github.io/modelflowsapp/software/tutorials/cardiac-tutorials/#diagnosis-tutorial) and [*Prognosis tutorial*](https://modelflows.github.io/modelflowsapp/software/tutorials/cardiac-tutorials/#prognosis-tutorial) sections of the [*Cardiac tutorials*](https://modelflows.github.io/modelflowsapp/software/tutorials/cardiac-tutorials/) page.
-### Notebooks Diagnosis and Prognosis
+### Notebooks
- [*Diagnosis Notebooks*](https://github.com/modelflows/ModelFLOWs-cardiac/tree/main/diagnosis_tutorial/notebooks): this link goes to the source files and to the guide of how to use the codes implementing the training and testing of models for the diagnosis of cardiovascular diseases (CVD).
- [*Prognosis Notebooks*](https://github.com/modelflows/ModelFLOWs-cardiac/tree/main/prognosis_tutorial/notebooks): this link goes to the source files and to the guide of how to use the codes implementing the training and testing of models for the prognosis of heart failures.
@@ -65,7 +65,7 @@ The complete tutorial is available in the [*Interface tutorial*](https://modelfl
The tutorial of the developed framework based on deep learning for automated left-ventricle (LV) segmentation and ejection-fraction (EF) prediction from echocardiograms is available in the [*LV Segmentation and EF estimation tutorial*](https://modelflows.github.io/modelflowsapp/software/tutorials/cardiac-tutorials/#lv-seg-ef-tutorial) section of the [*Cardiac tutorials*](https://modelflows.github.io/modelflowsapp/software/tutorials/cardiac-tutorials/).
-### Notebooks Segmentation and EF Estimation Tutorial
+### Notebooks
- [*LV segmentation and EF prediction*](https://github.com/modelflows/ModelFLOWs-cardiac/tree/main/segmentation%26EFprediction_tutorial/EchoNet-dynamic/scripts): this link goes to the source files necessary to perform the left-ventricle (LV) segmentation and the ejection fraction (EF) estimation from echocardiography images.