News

29-03-2024
Paper accepted in Scientific Reports. A nice collaboration led by U. Barcelona

28-03-2024
Reviewer for Samy Chali's PhD defense at Université Paris Saclay

25-03-2024
Examiner for Renne Gu's PhD viva at King's College London

05-03-2024
I am an Associate Editor for IEEE Transactions in Medical Imaging

09-02-2024
We are presenting an I-VESSEG demo at WAICF 2024

01-02-2024
I am now a Senior IEEE Member

12-01-2024
Invited speaker at Cours St Paul on Breast & Gynecologic Cancers (in French)

06-12-2023
I was invited to the AI-Ready Healthcare Podcast

01-12-2023
Congrats Hava Chaptoukaev for getting a NeurIPS Scholar Award!

12-10-2023
Keynote at MICCAI tutorial on Humans in the Loop

22-09-2023
Paper accepted at NeurIPS 2023

21-08-2023
Paper accepted at BMVC 2023

30-06-2023
The AI-WEAR project on AI and wearables has been funded

07-06-2023
CVPR 2023 outstanding reviewer award

05-06-2023
Paper accepted at ECML-PKDD 2023

30-05-2023
The PredTwin project on predictive models for prostate cancer has been funded

15-04-2023
Right ventricle challenge journal paper accepted at IEEE JBHI

12-02-2023
Invited panelist "Do we need to go beyond deep learning?" at WAICF 2023

12-01-2023
Invited talk at MEC-Lab, TU Darmstadt - "Dealing with data for medical AI"

19-01-2023
One paper accepted at ISBI 2023

01-01-2023
My JCJC project, I-VESSEG started

25-11-2022
Invited talk at the Grenoble Institute of Neurosciences

04-10-2022
Joined Editorial Board of Medical Image Analysis

23-09-2022
Our MICCAI tutorial on Trustworthy AI for Medical Image takes place today

07-07-2022
I-VESSEG My ANR JCJC project on vascular segmentation has been selected for funding!

29-06-2022
Hava Chaptoukaev will be presenting today at Intelligence Artificielle et Santé

02-06-2022
Appointed associate editor for Computer Methods and Programs in Biomedicine

01-06-2022
Co-signer of article on the role of AI in medicine in La Tribune de Le Monde

31-05-2022
Some of my work has been showcased in the Cahier de Veille of IMT and Fondation Mines-Télécom

30-05-2022
Keynote speaker at MOMI 2022

19-05-2022
One paper accepted at SigKDD 2022

08-04-2022
Our review on robustness and reliability in cardiac segmentation is now published

08-04-2022
Our paper on robust out-of-distribution detection was accepted at IEEE CVPR Workshops

01-04-2022
Program chair for SPIE Program Committee of SPIE Medical Imaging - Image Processing

22-01-2022
Paper accepted at ICASSP 2022

15-01-2022
Area Chair for MICCAI 2022

13-01-2022
I now hold a visiting appointment as senior lecturer at King's College London

19-11-2021
Associate editor for IEEE Transactions on Biomedical Engineering

18-11-2021
Invited talk at SophIA Summit on optimization strategies in multi-task learning

01-11-2021
Our work on AI for wearables' signal analysis will be presented this week at IEEE EMBC

06-10-2021
Paper on efficient annotation accepted at Medical Image Analysis

01-09-2021
Paper accepted at the M2Ms-2 Challenge within STACOM 2021

31-08-2021
Outstanding reviewer award for ICCV 2021

20-07-2021
One paper accepted at ECML-PKDD Workshop on Advanced Analytics and Learning on Temporal Data

16-07-2021
Our paper on learning-based EEG wearable design has been accepted at IEEE EMBC

24-05-2021
I have been awarded a Junior chair at the 3IA Institute Côte d'Azur

01-05-2021
Invited speaker at the 3rd conference on AI, medical images and applications

16-04-2021
Invited panelist at the MIA to talk about Women in AI

13-04-2021
ISBI 2021 has started. Do not miss it!

26-03-2021
Invited blog post on AI trends at Institut EuropIA

20-03-2021
Paper on segmentation QC accepted at FIMH2021. Check it here

19-03-2021
Today I successfully defended my Habilitation à Diriger des Recherches (HDR). Slides coming soon.

05-02-2021
Guest Editor of Medical Image Analysis for the MICCAI 2020 Special Edition

30-01-2021
We released our code on Quality Control for Cardiac Image Segmentation - [Github]

15-01-2021
Area Chair for MICCAI 2021

24-12-2020
MICCAI 2024 will be in Marrakesh. Happy to be part of the committee. Great news to end up the year!

01-12-2020
Congratulations to Lucas Pascal for his paper Maximum Roaming Multi-task Learning, accepted at AAAI 2021

03-10-2020
The MICCAI 2020 proceedings are now available online

23-08-2020
Congratulations to Ma Da for his Neuroimage publication

10-08-2020
We have published the implementation of USAD, our paper on anomaly detection for multivariate time series. Check it here

26-06-2020
The platform 'The Startup', the most followed publication in Medium (~660K followers) has requested to publish our showcase research blog article

25-06-2020
The showcase research blog article in Medium has been has been selected by Medium curators for the topic 'Artificial Intelligence' and will be recommended to all its users

22-06-2020
Check out the article about my research published in Medium. Thanks to EURECOM Communications for the nice job!

05-06-2020
The ISBI 2021 site is now live

04-06-2020
Our paper on model monitoring and dynamic model selection has been accepted at ECML-PKDD 2020. Check the preprint

15-05-2020
Our paper entitled 'USAD Unsupervised Anomaly Detection for multivariate time series' has been accepted at KDD 2020 ADS track

01-04-2020
I will be part of the organization committee of ISBI 2021 to be held April 13-16 2021 in Nice, France

16-03-2020
Our paper on model monitoring and model selection is now online

21-11-2019
I will be presenting at Soph.I.A Summit session on AI Fundamentals

07-11-2019
I was an invited speaker at the 9eme Rencontres Francophones Multidisciplinaires des Cardiopathies Congénitales in Bordeaux

06-11-2019
The article on the design of descriptors for autism spectrum disorder is out. Check it here

25-10-2019
The article on studying vascular patterns of the placenta is out. Check it here

15-10-2019
I will be presenting some of my work at the IMT Colloquim Healthcare 4.0

12-09-2019
I was one of the 5 finalists in the Women in Tech Sud Award 2019 Category - Researcher

01-07-2019
I have joined EURECOM as an Assistant Professor in Machine Learning