Ph.D. student in Deep Learning and Medical Image Processing
-University of Rennes 1 | Rennes, France | Oct. 2021 - ??
+University of Rennes 1 | Rennes, France | Oct. 2021 - Sept. 2024
▮ Subject: Mitigating and exploring anaytical variability of fMRI results using representation learning
▮ Analytical variability in neuroimaging, medical image analysis, statistical learning, deep learning, etc.
@@ -130,9 +130,25 @@Research experience
Teaching
-
+
-
+
Summer School on Affordable Artificial Intelligence (SAAI)
+AGYA | Bonn, Germany | July 2024
+++▮ Practical sessions of Python programming for data science and machine learning, statistics and mathematics.
+▮ TP: 10h.
+
+ -
+
L2 ISTN - Data science
+ISTIC, University of Rennes | Rennes, France | Feb. 2023 - May. 2023
+++▮ Initiation to data management, visualization, modelisation (linear regression, statistical testing, time series, etc.) using R.
+▮ TP: 24h.
+ -
M2 SIBM - UE3 Exploiting massive and complex data
-UFR Medicine, University of Rennes 1 | Rennes, France | Feb. 2023 - May. 2023
+UFR Medicine, University of Rennes | Rennes, France | Feb. 2023 - May. 2023
▮ Explanations of the notion of pipeline, analytical variability, good practices of publication, etc.
▮ CM: 3h, one group of 12 students.
@@ -140,7 +156,7 @@Teaching
L1 ISTN - Professional project and communication
-ISTIC, University of Rennes 1 | Rennes, France | Feb. 2023 - May. 2023
+ISTIC, University of Rennes | Rennes, France | Feb. 2023 - May. 2023
▮ Tutorial to use LibreOffice.
▮ TP: 8h, one group of 40 students.
@@ -156,7 +172,7 @@Teaching
M2 IL - Machine Learning
-ISTIC, University of Rennes 1 | Rennes, France | 2022 - 2024
+ISTIC, University of Rennes 1 | Rennes, France | Nov. 2022 - Dec. 2023
▮ Initiation to machine learning in Python using scikit-learn and Keras.
▮ TP: 10h per year, one group of 10 students. Course given in Fall 2022 and 2023.
diff --git a/index.html b/index.html index c1d831d..9d54588 100644 --- a/index.html +++ b/index.html @@ -48,16 +48,16 @@PhD student
diff --git a/publications.html b/publications.html index 3da6e8e..02b3db0 100644 --- a/publications.html +++ b/publications.html @@ -88,11 +88,11 @@Welcome to my website! 👋
-I am a third year PhD student in Empenn research unit at IRISA/INRIA Rennes laboratory. I am working under the supervision of Dr. Camille MAUMET and Prof. Elisa FROMONT from LACODAM research team.
-My main research focus on exploring and modelling analytical variability in fMRI data analyses. In particular, I use machine learning methods to explore the fMRI analytical space and understand the relationships between pipelines. I also apply standard deep learning techniques (generative AI, style transfer, transfer learning, etc.) to limit the impact of variability in neuroimaging studies.
+I am a postdoctoral researcher at UniversitätKlinikum Bonn, with Prof. Albarqouni. Previously, I did my PhD in the Empenn research unit at the IRISA laboratory in Rennes, under the supervision of Dr. Camille MAUMET and Prof. Elisa FROMONT from LACODAM research team.
+My research focuses on exploring, modelling and building solutions to take into account the variability of data in medical imaging, particularly in machine learning studies. During my PhD, my goal was to facilitate the re-use of data shared on public databases by taking into account the different sources of variability. In the future, I would like to focus more in the use of real-world data and on the robustness of machine learning models to dataset shifts and privacy attacks. I am also interested in building affordable and adaptable solutions for an universal utility.
-PhD student
- Submitted preprints
+- titre
- Mitigating analytical variability in fMRI results with style transfer
- auteur
- Elodie Germani, Camille Maumet, Elisa Fromont -
- article
- Submitted to Medical Image Analysis. +
- article
- In revision at Medical Image Analysis.
- Accès au texte intégral et bibtex