refactor: Made several changes related mainly to my profile, publications, and courses

.github/ISSUE_TEMPLATE/add_event.yaml

@@ -101,15 +101,15 @@ body:
     attributes:
       label: "Contributors / speakers"
       description: Comma-separated. Saved as a `contributors` array in `events.json`. Use `team.json` spelling for lab members so cross-links work.
-      placeholder: "Mahdi Ait Lhaj Loutfi"
+      placeholder: "Mahdi Loutfi"
     validations:
       required: true
   - type: textarea
     id: blurb
     attributes:
       label: "Short blurb"
       description: Optional. The events listing shows the title only; if provided, this becomes the opening paragraph of the markdown file.
-      placeholder: "Mahdi Ait Lhaj Loutfi's M.Sc. thesis defense."
+      placeholder: "Mahdi Loutfi's M.Sc. thesis defense."
     validations:
       required: false
   - type: textarea

src/content/community/courses/mdph-610-instrumentation-and-computation-in-medical-physics.md

@@ -0,0 +1,24 @@
+## Previous sessions
+
+- Winter 2026
+
+## Links
+
+[View in McGill Course Catalogue](https://coursecatalogue.mcgill.ca/courses/mdph-610/)
+
+## Summary
+
+- Term: Winter 2027
+- Credits: 2
+- Offered by: Medical Physics Unit (Graduate Studies), McGill University
+- Instructor: [Martin Vallières](/team/martin-vallieres/)
+- Location: Medical Physics Unit, McGill University Hospital
+
+## Course description
+
+This course covers electronics, computer programming, and instrumentation as applied to medical physics. Basic knowledge of electronics and computers is assumed. The detailed course contents may vary from year to year, depending on the background of the students.
+
+## Prerequisites and restrictions
+
+- Prerequisite: [MDPH 601](https://coursecatalogue.mcgill.ca/courses/mdph-601/) or [MDPH 614](https://coursecatalogue.mcgill.ca/courses/mdph-614/)
+- Restriction: Not open to students who have taken MDPH 612.

src/content/community/events/2022-08-05-mini-putt.md

@@ -5,11 +5,11 @@ most hockey players won this event with flying colors.
 
 **Team scores**
 
-| **Ranking** |                          **Team**                           | **Score** |
-| :---------: | :---------------------------------------------------------: | :-------: |
-|    **1**    |  **Guillaume Blain, Martin Vallières, Nicolas Longchamps**  |  **172**  |
-|      2      |      Clarisse Cheng, Corentin Gauthier, Hakima Laribi       |    193    |
-|      3      | Alexandre Ayotte, Mahdi Ait Lhaj Loutfi, Simon Giard-Leroux |    203    |
+| **Ranking** |                         **Team**                          | **Score** |
+| :---------: | :-------------------------------------------------------: | :-------: |
+|    **1**    | **Guillaume Blain, Martin Vallières, Nicolas Longchamps** |  **172**  |
+|      2      |     Clarisse Cheng, Corentin Gauthier, Hakima Laribi      |    193    |
+|      3      |    Alexandre Ayotte, Mahdi Loutfi, Simon Giard-Leroux     |    203    |
 
 **Score per person**
 
@@ -21,7 +21,7 @@ most hockey players won this event with flying colors.
 |      3      |    Guillaume Blain     |    60     |
 |      4      |     Clarisse Cheng     |    62     |
 |      5      |   Simon Giard-Leroux   |    63     |
-|      6      | Mahdi Ait Lhaj Loutfi  |    68     |
+|      6      |      Mahdi Loutfi      |    68     |
 |      7      |    Alexandre Ayotte    |    72     |
 |      8      |     Hakima Laribi      |    73     |
 

src/content/community/events/2024-08-20-msc-mall.md

@@ -1,6 +1,6 @@
 **Description:**
 
-**Speaker:** Mahdi Ait Lhaj Loutfi, M. Sc. student in Computer Science, Department of Computer Science,
+**Speaker:** Mahdi Loutfi, M. Sc. student in Computer Science, Department of Computer Science,
 Faculty of Science, Université de Sherbrooke
 
 **Abstract:** Radiomics is an emerging discipline that uses quantitative data extracted from medical images to develop predictive models. Despite its growing adoption in various research contexts, radiomics faces several challenges, including the high dimensionality of radiomic feature sets, the variability of radiomic feature types, and potentially high computational demands. These challenges highlight the need for an effective method to identify the simplest and most efficient features for a specific clinical problem.

src/content/community/news/2022-06-02-rbiq.md

@@ -1,6 +1,6 @@
 ![RBIQ 2022 featured image](/images/albums/2022-06-02-rbiq/featured.jpg)
 
-Congratulations to [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi) for his presentation
+Congratulations to [Mahdi Loutfi](/team/mahdi-loutfi) for his presentation
 titled "_An International Standards Compliant Tool for Radiomic Feature Extraction from Medical Images_" at the
 RBIQ 2022 Science Day.
 

src/content/community/news/2022-10-20-cirius.md

@@ -1,11 +1,11 @@
 ![CIRIUS Science Day 2022 featured image](/images/albums/2022-10-20-cirius/featured.jpg)
 
-Congratulations to [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi),
+Congratulations to [Mahdi Loutfi](/team/mahdi-loutfi),
 [Olivier Lefebvre](/team/olivier-lefebvre), and
 [Hakima Laribi](/team/hakima-laribi) for winning prizes at the Centre interdisciplinaire de
 recherche en informatique de la santé de l'Université de Sherbrooke (CIRIUS) 2022 Scientific Day.
 
-- 1st prize ($350): [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi) ([presentation](/publications/a-compliant-package-with-international-standards-for-radiomics-analysis-of-medical-images-2022))
+- 1st prize ($350): [Mahdi Loutfi](/team/mahdi-loutfi) ([presentation](/publications/a-compliant-package-with-international-standards-for-radiomics-analysis-of-medical-images-2022))
 - 2nd prize ($250): [Olivier Lefebvre](/team/olivier-lefebvre) ([presentation](/publications/precision-analysis-of-predictive-uncertainty-of-machine-learning-models-in-medical-context-2022))
 - Prize "coup de coeur" ($100): [Hakima Laribi](/team/hakima-laribi) ([presentation](/publications/graph-neural-networks-for-predicting-patient-mortality-within-one-year-of-hospital-admission-2022))
 

src/content/community/news/2024-07-05-post-arxiv.md

@@ -1,6 +1,6 @@
 ![Radiomics complexity preprint featured image](/images/albums/2024-07-05-post-arxiv/featured.png)
 
-Congratulations to [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi),
+Congratulations to [Mahdi Loutfi](/team/mahdi-loutfi),
 [Teodora Boblea Podasca](/team/teodora-boblea-podasca), and
 [Martin Vallières](/team/martin-vallieres) for the publication of their paper entitled
 "Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling" on arXiv.

src/content/community/news/2024-08-20-mall-msc.md

@@ -1,9 +1,9 @@
 ![Thesis defense celebration featured image](/images/albums/2024-08-20-mall-msc/featured.jpg)
 
-Congratulations to [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi) for having successfully completed his
+Congratulations to [Mahdi Loutfi](/team/mahdi-loutfi) for having successfully completed his
 thesis defense with the mention of excellence. The members of the laboratory gathered at the restaurant
 _Pizzicato_ and then at _Sher-Mont_ for a bowling game to celebrate his success.
 
 We wish him success in his future projects.
 
-![MEDomicsLab team celebrating Mahdi Ait Lhaj Loutfi's thesis defense](/images/albums/2024-08-20-mall-msc/team.jpg)
+![MEDomicsLab team celebrating Mahdi Loutfi's thesis defense](/images/albums/2024-08-20-mall-msc/team.jpg)

src/content/community/news/2026-02-25-post-renal-mass-radiomics.md

@@ -0,0 +1,15 @@
+Congratulations to [Mahdi Loutfi](/team/mahdi-loutfi) and
+[Martin Vallières](/team/martin-vallieres), as well as their co-authors,
+for the publication of their paper entitled
+"Optimizing renal mass histology prediction with artificial intelligence using handcrafted radiomics"
+in the _World Journal of Urology_.
+
+The study uses CT radiomics and machine learning to distinguish clear cell renal cell carcinoma from other renal mass histologies. The best model achieved an AUC of 0.88 and a specificity of 93% on a hold-out set.
+
+The article can be found at:
+[https://doi.org/10.1007/s00345-026-06296-2](https://doi.org/10.1007/s00345-026-06296-2)
+
+## Links
+
+- [Details](/publications/optimizing-renal-mass-histology-prediction-with-artificial-intelligence-using-handcrafted-radiomics-2026)
+- [Article link](https://doi.org/10.1007/s00345-026-06296-2)

src/content/community/research/project-active/mediml/index.md

@@ -6,7 +6,7 @@ type: book
 authors:
   - Clarisse Cheng
   - Corentin Gauthier
-  - Mahdi Ait Lhaj Loutfi
+  - Mahdi Loutfi
   - Martin Vallières
   - Mohammed Benabbassi
 ---
@@ -25,7 +25,7 @@ General
 
 - [Clarisse Cheng](/team/clarisse-cheng)<sup>1</sup> (summer 2022)
 - [Corentin Gauthier](/team/corentin-gauthier)<sup>1</sup> (summer 2022)
-- [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi)<sup>1</sup> (2021-today)
+- [Mahdi Loutfi](/team/mahdi-loutfi)<sup>1</sup> (2021-today)
 - [Martin Vallières](/team/martin-vallieres)<sup>1</sup> (2020-today)
 - [Mohammed Benabbassi](/team/mohammed-benabbassi)<sup>1</sup> (fall 2022)
 

src/content/community/research/project-active/medomics_platform/index.md

@@ -17,7 +17,7 @@ authors:
   - Kayla Davio-Roy
   - Ludmila Amriou
   - Lyna Hiba Chikouche
-  - Mahdi Ait Lhaj Loutfi
+  - Mahdi Loutfi
   - Mamadou Mountagha Bah
   - Mariem Kallel
   - Mohammed Benabbassi
@@ -53,7 +53,7 @@ General
 - [Kayla Davio-Roy](/team/kayla-davio-roy)<sup>1</sup> (summer 2021)
 - [Ludmila Amriou](/team/ludmila-amriou)<sup>1</sup> (2023-2024)
 - [Lyna Hiba Chikouche](/team/lyna-hiba-chikouche)<sup>1</sup> (2023-2024)
-- [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi)<sup>1</sup> (2021-today)
+- [Mahdi Loutfi](/team/mahdi-loutfi)<sup>1</sup> (2021-today)
 - [Mamadou Mountagha Bah](/team/mamadou-mountagha-bah)<sup>1</sup> (2020-2021)
 - [Mariem Kallel](/team/mariem-kallel)<sup>1</sup> (2024-today)
 - [Mohammed Benabbassi](/team/mohammed-benabbassi)<sup>1</sup> (fall 2022)

src/content/community/research/project-completed/radiomics-complexity/index.md

@@ -4,7 +4,7 @@ title: "Project: Exploration of the complexity levels of radiomic characteristic
 type: book
 
 authors:
-  - Mahdi Ait Lhaj Loutfi
+  - Mahdi Loutfi
   - Martin Vallières
 ---
 
@@ -20,7 +20,7 @@ Master's
 
 ## Team
 
-- [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi)<sup>1</sup> (2021-today)
+- [Mahdi Loutfi](/team/mahdi-loutfi)<sup>1</sup> (2021-today)
 - [Martin Lepage](https://www.usherbrooke.ca/recherche/specialistes/details/martin.lepage)<sup>2</sup> (2021-today)
 - [Martin Vallières](/team/martin-vallieres)<sup>1</sup> (2021-today)
 

src/content/publications/a-compliant-package-with-international-standards-for-radiomics-analysis-of-medical-images-2022.md

@@ -6,7 +6,7 @@
 
 ## Authors
 
-- [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi)
+- [Mahdi Loutfi](/team/mahdi-loutfi)
 
 ## Summary
 

src/content/publications/an-international-standard-compliant-tool-for-radiomic-feature-extraction-from-medical-images-2022.md

@@ -6,7 +6,7 @@
 
 ## Authors
 
-- [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi)
+- [Mahdi Loutfi](/team/mahdi-loutfi)
 
 ## Summary
 

src/content/publications/optimizing-renal-mass-histology-prediction-with-artificial-intelligence-using-handcrafted-radiomics-2026.md

@@ -0,0 +1,43 @@
+## Date
+
+2026-02-25
+
+## Authors
+
+- Teodora Boblea Podasca<sup>1</sup>
+- [Mahdi Loutfi](/team/mahdi-loutfi)<sup>2</sup>
+- Marc-Antoine Blais<sup>3</sup>
+- Marie-Lou Gadoury-Campbell<sup>3</sup>
+- Stéphanie Boulet<sup>4</sup>
+- [Martin Vallières](/team/martin-vallieres)<sup>2</sup>
+- Patrick O. Richard<sup>1</sup>
+
+<sup>1</sup> Division of Urology, Department of Surgery, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
+
+<sup>2</sup> Department of Computer Science, Université de Sherbrooke, Sherbrooke, Canada
+
+<sup>3</sup> Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Canada
+
+<sup>4</sup> Division of Urology, Department of Surgery, Centre Hospitalier de l’Université Laval, Québec, Canada
+
+## Abstract
+
+**Purpose**
+
+To determine the histology of a renal mass, physicians cannot rely on imaging alone. Radiomics, the extraction of quantitative data from medical imaging, could help address this challenge. This study aimed to build a classification model using CT-scan radiomics and/or clinical features to distinguish clear cell renal cell carcinoma (ccRCC) from other histologies.
+
+**Methods**
+
+The study included patients who underwent surgery for suspected localized renal cell carcinoma. A total of 345 masses were included, 72% of which were ccRCC and 28% of which had other histologies. Clinical data were extracted, and each renal mass was manually segmented on CT and contrast-enhanced CT (CECT). A total of 171 radiomics features were extracted from each lesion. The dataset was randomly split into a learning set (80%) and a hold-out set (20%). The learning set was further divided into 10 subsets, each split into training (80%) and testing (20%) sets, and used to train and test 10 independent machine learning models using the XGBoost algorithm. The best model was subsequently validated on the hold-out set.
+
+**Results**
+
+The CECT-based radiomics model showed the best performance, with an area under the curve (AUC) of 0.80, sensitivity of 67%, and specificity of 77%. Adding clinical features to the model did not improve its performance. On the hold-out set, the final model achieved an AUC of 0.88, with 56% sensitivity and 93% specificity.
+
+**Conclusions**
+
+The radiomics-based classification model showed high performance in differentiating ccRCC from other histologies using CECT scans. These findings support the role of radiomics as a potential non-invasive tool in kidney cancer management. However, external validation on independent cohorts is needed before clinical application.
+
+## Links
+
+- [World Journal of Urology](https://doi.org/10.1007/s00345-026-06296-2)

src/content/publications/unraveling-radiomics-complexity-strategies-for-optimal-simplicity-in-predictive-modeling-2024.md

@@ -6,7 +6,7 @@
 
 ## Authors
 
-- [Mahdi Ait Lhaj Loutfi](/team/mahdi-ait-lhaj-loutfi)<sup>1</sup>
+- [Mahdi Loutfi](/team/mahdi-loutfi)<sup>1</sup>
 - [Teodora Boblea Podasca](/team/teodora-boblea-podasca)<sup>2</sup>
 - Alex Zwanenburg<sup>3,4,5,6</sup>
 - Taman Upadhaya<sup>7</sup>

src/data/courses.json

@@ -1,4 +1,19 @@
 [
+  {
+    "title": "MDPH 610: Instrumentation and Computation in Medical Physics",
+    "summary": "A course on electronics, computer programming, and instrumentation as applied to medical physics.",
+    "slug": "mdph-610-instrumentation-and-computation-in-medical-physics",
+    "markdown": "community/courses/mdph-610-instrumentation-and-computation-in-medical-physics.md",
+    "authors": ["Martin Vallières"],
+    "sessions": ["Winter 2027"],
+    "links": [
+      {
+        "label": "View in McGill Course Catalogue",
+        "url": "https://coursecatalogue.mcgill.ca/courses/mdph-610/"
+      }
+    ],
+    "institution": "McGill"
+  },
   {
     "title": "IMN 714 : Extraction de caractéristiques d’images médicales",
     "summary": "Extraction de caractéristiques d'images médicales",

src/data/events.json

@@ -8,7 +8,7 @@
           {
             "title": "Thesis Defense: Analyzing the complexity of radiomics: Approaches for simplified modeling",
             "slug": "2024-08-20-msc-mall",
-            "contributors": ["Mahdi Ait Lhaj Loutfi"],
+            "contributors": ["Mahdi Loutfi"],
             "markdown": "community/events/2024-08-20-msc-mall.md"
           }
         ]

src/data/news.json

@@ -2,6 +2,17 @@
   {
     "year": "2026",
     "months": [
+      {
+        "month": "February",
+        "items": [
+          {
+            "title": "Publication of the article \"Optimizing renal mass histology prediction with artificial intelligence using handcrafted radiomics\"",
+            "slug": "2026-02-25-post-renal-mass-radiomics",
+            "contributors": ["Mahdi Loutfi", "Martin Vallières"],
+            "markdown": "community/news/2026-02-25-post-renal-mass-radiomics.md"
+          }
+        ]
+      },
       {
         "month": "March",
         "items": [
@@ -49,9 +60,9 @@
         "month": "August",
         "items": [
           {
-            "title": "Mahdi Ait Lhaj Loutfi successfully defended his thesis",
+            "title": "Mahdi Loutfi successfully defended his thesis",
             "slug": "2024-08-20-mall-msc",
-            "contributors": ["Mahdi Ait Lhaj Loutfi"],
+            "contributors": ["Mahdi Loutfi"],
             "markdown": "community/news/2024-08-20-mall-msc.md"
           }
         ]
@@ -68,7 +79,7 @@
           {
             "title": "Publication of the article “Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling” on arXiv",
             "slug": "2024-07-05-post-arxiv",
-            "contributors": ["Mahdi Ait Lhaj Loutfi", "Teodora Boblea Podasca", "Martin Vallières"],
+            "contributors": ["Mahdi Loutfi", "Teodora Boblea Podasca", "Martin Vallières"],
             "markdown": "community/news/2024-07-05-post-arxiv.md"
           }
         ]
@@ -154,7 +165,7 @@
           {
             "title": "Several awards won at CIRIUS Science Day 2022",
             "slug": "2022-10-20-cirius",
-            "contributors": ["Hakima Laribi", "Olivier Lefebvre", "Mahdi Ait Lhaj Loutfi"],
+            "contributors": ["Hakima Laribi", "Olivier Lefebvre", "Mahdi Loutfi"],
             "markdown": "community/news/2022-10-20-cirius.md"
           }
         ]
@@ -193,7 +204,7 @@
           {
             "title": "Participation in the RBIQ 2022 Scientific Day",
             "slug": "2022-06-02-rbiq",
-            "contributors": ["Mahdi Ait Lhaj Loutfi"],
+            "contributors": ["Mahdi Loutfi"],
             "markdown": "community/news/2022-06-02-rbiq.md"
           }
         ]

src/data/publications.json

@@ -2,6 +2,24 @@
   {
     "year": "2026",
     "items": [
+      {
+        "title": "Optimizing renal mass histology prediction with artificial intelligence using handcrafted radiomics",
+        "slug": "optimizing-renal-mass-histology-prediction-with-artificial-intelligence-using-handcrafted-radiomics-2026",
+        "contributors": [
+          "Teodora Boblea Podasca",
+          "Mahdi Loutfi",
+          "Marc-Antoine Blais",
+          "Marie-Lou Gadoury-Campbell",
+          "Stéphanie Boulet",
+          "Martin Vallières",
+          "Patrick O. Richard"
+        ],
+        "journal": "World Journal of Urology",
+        "link": "https://doi.org/10.1007/s00345-026-06296-2",
+        "markdown": "publications/optimizing-renal-mass-histology-prediction-with-artificial-intelligence-using-handcrafted-radiomics-2026.md",
+        "type": "Journal Papers",
+        "date": "2026-02-25"
+      },
       {
         "title": "Kaféfak Presentation - First Publication Award",
         "slug": "kafefak-presentation-first-publication-award-2026",
@@ -120,7 +138,7 @@
       {
         "title": "Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling",
         "slug": "unraveling-radiomics-complexity-strategies-for-optimal-simplicity-in-predictive-modeling-2024",
-        "contributors": ["Mahdi Ait Lhaj Loutfi", "Teodora Boblea Podasca", "Martin Vallières"],
+        "contributors": ["Mahdi Loutfi", "Teodora Boblea Podasca", "Martin Vallières"],
         "journal": "arXiv",
         "link": "https://arxiv.org/abs/2407.04888",
         "markdown": "publications/unraveling-radiomics-complexity-strategies-for-optimal-simplicity-in-predictive-modeling-2024.md",
@@ -215,7 +233,7 @@
       {
         "title": "A compliant package with international standards for radiomics analysis of medical images",
         "slug": "a-compliant-package-with-international-standards-for-radiomics-analysis-of-medical-images-2022",
-        "contributors": ["Mahdi Ait Lhaj Loutfi"],
+        "contributors": ["Mahdi Loutfi"],
         "journal": "CIRIUS",
         "link": "https://www.dropbox.com/s/qshut4vilvaja93/Programmation_Cirius_JS_2022.pdf?dl=0",
         "markdown": "publications/a-compliant-package-with-international-standards-for-radiomics-analysis-of-medical-images-2022.md",
@@ -235,7 +253,7 @@
       {
         "title": "An international standard compliant tool for radiomic feature extraction from medical images",
         "slug": "an-international-standard-compliant-tool-for-radiomic-feature-extraction-from-medical-images-2022",
-        "contributors": ["Mahdi Ait Lhaj Loutfi"],
+        "contributors": ["Mahdi Loutfi"],
         "journal": "Medical Imaging with Deep Learning 2022",
         "link": "https://event.fourwaves.com/fr/qbinscientificday2022/resumes/1277c5e9-e4bf-4739-9265-d21af534e94f",
         "markdown": "publications/an-international-standard-compliant-tool-for-radiomic-feature-extraction-from-medical-images-2022.md",