Delphine Ribes Lemay

Nationalité: Suisse, Française

EPFL EPFL+ECAL Lab
ECAL 1 20.07 (Bâtiment ECAL)
Av. du 24-Janvier 11
1020 Renens VD 1

Delphine Ribes Lemay was born in Lyon, France, in November 1982. She received her Master's degree in Electrical Engineering with a major in medical image processing in March 2008 from CPE Lyon.
Delphine Ribes began her scientific journey in 2006 in Chapel Hill, USA, under the supervision of Dr. Guido Gerig, focusing on grey matter segmentation. She then returned to Europe for a one-year exchange at EPFL in Switzerland. During this year, she met Jean-Philippe Thiran and Meritxell Bach Cuadra, and had the opportunity to complete her Master's thesis on 3D reconstruction of 2D autoradiographic brain images of mice.
In 2008, Delphine Ribes joined the Advanced Clinical Imaging Technology group at Siemens, supervised by Gunner Krueger and Alexis Roche. Over four years, she contributed to developing a morphometric tool for brain segmentation to be integrated into Siemens MRI scanners. This tool, now called MorphoBox, led to several publications. Concurrently, she contributed to developing a new methodology for skull stripping, resulting in EU and US patents.
In 2011, Delphine Ribes joined the startup CAScination to work on the development of navigation systems for digestive surgery and lead its clinical research. She also spearheaded the development of Ubersound technology, which resulted in an EU patent.
Finally, since the fall of 2014, Delphine Ribes Lemay has been with the EPFL ECAL Lab, a center at EPFL dedicated to design research and directed by Nicolas Henchoz. She leads the algorithmic and coding group there. Since joining, she has been enhancing the lab's expertise in machine learning for design applications and, notably, in user interfaces for medical applications.
More details at https://epfl-ecal-lab.ch/

Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users

D. CaiE. C. GrovesL. DéfayesA. NaasN. Gninenko  et al.

2025. 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), Madrid, Spain, 2025-06-18 - 2025-06-20. p. 941 - 944. DOI : 10.1109/CBMS65348.2025.00188.

Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘In the Wild’: A Feasibility Study on Home Treatment

A. NaasA. SondereggerD. Ribes LemayP. S. ShabestariM. Meyer  et al.

2025. 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), Madrid, Spain, 2025-06-18 - 2025-06-20. p. 512 - 513. DOI : 10.1109/CBMS65348.2025.00189.

Advances on Real Time M/EEG Neural Feature Extraction

P. S. ShabestariD. RibesL. DéfayesD. CaiE. C. Groves  et al.

2025. 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), Madrid, Spain, 2025-06-18 - 2025-06-20. p. 337 - 338. DOI : 10.1109/CBMS65348.2025.00074.

ANT - Advancing Neurofeedback (In Tinnitus)

P. NeffD. CaiE. GrovesL. DéfayesS. Baez-Lugo  et al.

2025. 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), Madrid, Spain, 2025-06-18 - 2025-06-20. p. 744 - 746. DOI : 10.1109/cbms65348.2025.00154.

Explainable AI and Trust, Design Methodologies to Explore Patients' Perspective

W. ZhanM. MottaS. Baez-LugoN. HenchozM. B. Cuadra  et al.

2025. 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), Madrid, Spain, 2025-06-18 - 2025-06-20. p. 512 - 513. DOI : 10.1109/cbms65348.2025.00110.

Toward Automatic Typography Analysis: Serif Classification and Font Similarities

S. T. WasimR. S. CollaudL. DéfayesN. HenchozM. Salzmann  et al.

Journal of Data Mining & Digital Humanities. 2024. DOI : 10.46298/jdmdh.10230.

Designing for Intimate Wellbeing: Aidee, a Qualitative Approach To Urine Home Monitoring

M. MottaD. Ribes LemayS. Baez LugoN. HenchozE. C. Groves

2024. DRS2024: The 2024 Design Research Society (DRS), Boston, Massachusetts, USA, 2024-06-24 - 2024-06-28. DOI : 10.21606/drs.2024.374.

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home

M. MottaE. C. GrovesA. R. SchneiderS. PaolettiN. Henchoz  et al.

PLOS Digital Health. 2023. DOI : 10.1371/journal.pdig.0000319.

Poster World. Bespoke AI Meets Curator Expertise for Public Engagement

A. AndradeL. DéfayesE. C. GrovesD. Ribes LemayA. R. Schneider  et al.

Pages on Art and Design. 2022.

Automatic Content Curation of Visual Heritage

D. Ribes LemayV. BernasconiA. AndradeL. DéfayesM. Salzmann  et al.

2021. ICDH 2021 : International Conference on Digital Heritage, London, United Kingdom, November 18-19, 2021.

Ming Shan Digital Experience

N. HenchozM. CharvolinD. RibesL. DéfayesC. Duchêne  et al.

2021. SIGGRAPH '21, Virtual, August 9-13, 2021. p. 1 - 10. DOI : 10.1145/3465620.

Trust Indicators and Explainable AI: A Study on User Perceptions

D. RibesN. HenchozH. PortierL. DefayesT.-T. Phan  et al.

2021. 18th IFIP TC 13 International Conference, Bari, Italy, 30 August - 3 September, 2021. p. 662 - 671. DOI : 10.1007/978-3-030-85616-8_39.

Food Talks: visual and interaction principles for representing environmental and nutritional food information in augmented reality

N. HenchozE. C. GrovesA. SondereggerD. Ribes Lemay

2019. The 18th IEEE International Symposium on Mixed and Augmented Reality - ISMAR 2019, Beijing, China, October, 14-18, 2019. p. 98 - 103. DOI : 10.1109/ISMAR-Adjunct.2019.00040.

Intraoperative image-guided navigation system: development and applicability in 65 patients undergoing liver surgery

V. M. BanzP. C. MullerP. TinguelyD. InderbitzinD. Ribes Lemay  et al.

Langenbeck's Archives of Surgery. 2016. DOI : 10.1007/s00423-016-1417-0.

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

D. SchmitterA. RocheB. MaréchalD. RibesA. Abdulkadir  et al.

NeuroImage: Clinical. 2015. DOI : 10.1016/j.nicl.2014.11.001.

Magnetic resonance imaging

T. KoberG. KrügerD. Ribes Lemay

Université de Lausanne: EP2514360 ; US8644905 ; US2012271146 ; EP2514360 . 2014.

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

A. RocheD. A. SchmitterB. M. Maréchal MortametD. Ribes LemayA. Abdulkadir  et al.

2014. 23rd International Society for Magnetic Resonance in Medicine (ISMRM) Conference, Milan, Italy, May 10-16, 2014.

Automated quality control in MR-based brain morphometry

B. MaréchalT. KoberT. HilbertD. RibesN. Chevrey  et al.

20th meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, May 5-12, 2012.

Towards higher precision in instrument guided liver surgery: automatic registration of 3D ultrasound with pre-operative MeVis-CT

D. Ribes LemayM. PeterhansS. AndereggD. WallachV. Banz  et al.

2012. CARS 2012, PISA, 27-30 June 2012. p. 141 - 145. DOI : 10.1007/s11548-012-0713-6.

MP2RAGE multiple sclerosis magnetic resonance imaging at 3 T

T. KoberC. GranzieraP. BrowaeysM. SchluepR. Meuli  et al.

Investigative Radiology. 2012. DOI : 10.1097/RLI.0b013e31824600e9.

Atlas-free brain tissue segmentation using a single T1-weighted MRI acquisition

T. KoberA. RocheO. Esteban-SanzS. GorthiD. Ribes  et al.

2012. International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, May 5-11.

Comparison of tissue classification models for automatic brain MR segmentation

D. RibesB. MortametM. Bach CuadraC. JackR. Meuli  et al.

19th Annual Meeting and Exhibition ISMRM, Montreal, Quebec, Canada, May 7-13, 2011.

Who said fat is bad? Skull-stripping benefits from additional fat image

D. Ribes LemayT. KoberG. GambarotaR. MeuliG. Krüger

2011. 19th meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, 7-13 May, 2011.

JULIDE: a software tool for 3D reconstruction and statistical analysis of autoradiographic mouse brain sections

D. RibesJ. ParafitaR. CharrierF. MagaraP. Magistretti  et al.

Plos One. 2011. DOI : 10.1371/journal.pone.0014094.

On the Convergence of EM-Like Algorithms for Image Segmentation using Markov Random Fields

A. RocheD. RibesM. Bach CuadraG. Krüger

Medical Image Analysis -Elsevier-. 2011. DOI : 10.1016/j.media.2011.05.002.