From 1466273c9945f691650343e60f7f2d1150879738 Mon Sep 17 00:00:00 2001 From: sanchez147304 <117902675+sanchez147304@users.noreply.github.com> Date: Wed, 24 Jun 2026 10:31:04 +0200 Subject: [PATCH 1/5] Update 2026-cardiac-pathology.md --- _applications/2026-cardiac-pathology.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/_applications/2026-cardiac-pathology.md b/_applications/2026-cardiac-pathology.md index 541c5be58c28..3b1e456ede76 100644 --- a/_applications/2026-cardiac-pathology.md +++ b/_applications/2026-cardiac-pathology.md @@ -50,6 +50,11 @@ 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 + +- [*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. + ## Interface Tutorial CardioView is a clinical desktop interface that bridges the technical modelling environment with the medical environment, letting clinicians load echocardiography videos and run the diagnosis and prognosis models directly, with no coding required. As with large-scale LLMs, the tool also supports automatic retraining on newly validated clinical cases once enough samples are collected, keeping the underlying models up to date with real-world data. @@ -60,11 +65,8 @@ 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 - -- [*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. - [*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. ## Resources & Databases From 983de0940c7c98345654b578666f575a73f2cea5 Mon Sep 17 00:00:00 2001 From: sanchez147304 <117902675+sanchez147304@users.noreply.github.com> Date: Wed, 24 Jun 2026 10:32:05 +0200 Subject: [PATCH 2/5] Update 2026-cardiac-pathology.md --- _applications/2026-cardiac-pathology.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_applications/2026-cardiac-pathology.md b/_applications/2026-cardiac-pathology.md index 3b1e456ede76..44eb5049dde4 100644 --- a/_applications/2026-cardiac-pathology.md +++ b/_applications/2026-cardiac-pathology.md @@ -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 Segmentation and EF Estimation Tutorial - [*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. From 21ce93f44a18c98e59b40694c73da434d3562c68 Mon Sep 17 00:00:00 2001 From: sanchez147304 <117902675+sanchez147304@users.noreply.github.com> Date: Wed, 24 Jun 2026 10:40:03 +0200 Subject: [PATCH 3/5] Update cardiac-tutorials.md --- _tutorials/cardiac-tutorials.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/_tutorials/cardiac-tutorials.md b/_tutorials/cardiac-tutorials.md index 7fd0cd400802..e4a4cd60c9bd 100644 --- a/_tutorials/cardiac-tutorials.md +++ b/_tutorials/cardiac-tutorials.md @@ -30,8 +30,8 @@ Content: The full tutorial is available in the Sphinx repository [*here*](https://github.com/modelflows/ModelFLOWs-cardiac/tree/main/diagnosis_tutorial): - Repository: AI-Based Cardiac Diagnosis from Echocardiography -- [*Diagnosis Tutorial*](https://github.com/modelflows/ModelFLOWs-cardiac/blob/main/diagnosis_tutorial/TUTORIAL.md) -- [*Documentation page*](https://github.com/modelflows/ModelFLOWs-cardiac/blob/main/diagnosis_tutorial/docs/index.md) +- [*Diagnosis Tutorial*](https://github.com/modelflows/ModelFLOWs-cardiac/blob/main/diagnosis_tutorial/TUTORIAL.md): Provides a step-by-step guide on how to use the diagnosis codes. +- [*Documentation page*](https://github.com/modelflows/ModelFLOWs-cardiac/blob/main/diagnosis_tutorial/docs/index.md): Describes the purpose and functionality of each code and script included in the repository. ### What the tutorial covers @@ -53,8 +53,8 @@ The full tutorial is available in the Sphinx repository [*here*](https://github. The full tutorial is available in the Sphinx repository [*here*](https://github.com/modelflows/ModelFLOWs-cardiac/tree/main/prognosis_tutorial): - Repository: AI-Based Cardiac Prognosis from Echocardiography -- [*Prognosis Tutorial*](https://github.com/modelflows/ModelFLOWs-cardiac/blob/main/prognosis_tutorial/TUTORIAL.md) -- [*Documentation page*](https://github.com/modelflows/ModelFLOWs-cardiac/blob/main/prognosis_tutorial/docs/index.md) +- [*Prognosis Tutorial*](https://github.com/modelflows/ModelFLOWs-cardiac/blob/main/prognosis_tutorial/TUTORIAL.md): Provides a step-by-step guide on how to use the prognosis codes. +- [*Documentation page*](https://github.com/modelflows/ModelFLOWs-cardiac/blob/main/prognosis_tutorial/docs/index.md): Describes the purpose and functionality of each code and script included in the repository. ### What the tutorial covers From dc075d8b9afa30949994dcf4abcf29ebbca967ed Mon Sep 17 00:00:00 2001 From: Arindam032192 <156190685+Arindam032192@users.noreply.github.com> Date: Fri, 26 Jun 2026 11:20:27 +0200 Subject: [PATCH 4/5] Update 2026-urban-flows.md From 5d976038d691d015578650696645df81acb53de0 Mon Sep 17 00:00:00 2001 From: Arindam032192 <156190685+Arindam032192@users.noreply.github.com> Date: Fri, 26 Jun 2026 11:21:16 +0200 Subject: [PATCH 5/5] Update 2026-urban-flows.md