International journals with review process
- [J8]
Early characterization and prediction of glioblastoma and brain metastases treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms,
N. Moreau , S. Valable , C. Jaudet , L. Dessoude , T. Leleu , R. Herault , R. Modzelewski , D. Stefan , J. Thariat , A. Lechervy and A. Corroyer-Dulmont,
Frontiers in Oncology,
2025.
- [J7]
Development and routine implementation of deep learning algorithm for automatic brain metastases segmentation on MRI for RANO-BM criteria follow-up,
L. Dessoude , R. Lemaire , R. Andres , T. Leleu , A. G. Leclercq , A. Desmonts , T. Corroller , A. Fara Orou-Guidou , L. Laduree , L. Le Henaff , J. Lacroix , A. Lechervy , D. Stefan and A. Corroyer-Dulmont,
NeuroImage,
February 2025.
- [J6]
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks,
M. Seraphim , A. Lechervy , F. Yger , L. Brun and O. Etard,
SN Computer Science,
2024.
- [J5]
An Evidential Deep Network Based on Dempster-Shafer Theory for Large Dataset,
L. Deregnaucourt , A. Lechervy , H. Laghmara and S. Ainouz,
Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5,
October 2023.
- [J4]
The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI,
I. Moummad , C. Jaudet , A. Lechervy , S. Valable , C. Raboutet , Z. Soilihi , J. Thariat , N. Falzone , J. Lacroix , A. Batalla and A. Corroyer-Dulmont,
Cancers,
Juin 2022.
- [J3]
The Impact of Artificial Intelligence CNN Based Denoising on FDG PET Radiomics,
C. Jaudet , K. Weyts , A. Lechervy , A. Batalla , S. Bardet and A. Corroyer-Dulmont,
Frontiers in Oncology,
2021.
- [J2]
Multi-Level Sensor Fusion with Deep Learning,
V. Vielzeuf , A. Lechervy , S. Pateux and F. Jurie,
IEEE Sensors Letters,
October 2018.
- [J1]
Boosted kernel for image categorization,
A. Lechervy , P-h. Gosselin and F. Precioso ,
Multimedia Tools and Applications (MTAP),
February 2012.
International conferences with review process
- [C26]
A Conflict-Guided Evidential Fusion for Multimodal Semantic Segmentation,
L. Deregnaucourt , H. Laghmara , A. Lechervy and S. Ainouz,
Winter Conference on Applications of Computer Vision (WACV),
2025.
- [C25]
CHASE: Channel-Wise and Spatial Attention forEarly Exiting in Image Classification,
Y. Addad , A. Lechervy and F. Jurie,
International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
2025.
- [C24]
Intra-Modal Divergence-Weighted Distillation for Vision-Language Models,
Y. Addad , A. Lechervy and F. Jurie,
Proceedings of the British Machine Vision Conference (BMVC),
2025.
- [C23]
Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairment,
F. Ledoyen , G. Dias , F. Maurel , J. Pantin , Y. Chahir , A. Lechervy , E. Gouzonnat , M. Berthelot , S. Moravac , A. Altinier and A. Khairalla,
28th European Conference on Artificial Intelligence (ECAI),
2025.
- [C22]
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation,
F. Ledoyen , G. Dias , J. Pantin , F. Maurel , A. Lechervy and Y. Chahir,
Conference on Empirical Methods in Natural Language Processing (EMNLP),
2025.
- [C21]
AI-Driven Prediction of Treatment Efficacy in Glioblastoma Using Medical Imaging,
N. N. Moreau , A. Desmond , C. Jaudet , T. Leleu , A. G. Leclercq , C. Brunaud , D. Stefan , S. Valable , A. Lechervy and A. Corroyer-Dulmont,
PRedictive Intelligence in MEdicine (MICCAI 2025 Workshop PRIME),
2025.
- [C20]
UNETRSal: Saliency Prediction with Hybrid Transformer-Based Architecture,
A. Kaibaldiyev, J. Pantin, A. Lechervy, F. Maurel, Y. Chahir, G. Diasand A. Kaibaldiyev, J. Pantin, A. Lechervy, F. Maurel, Y. Chahir, G. Dias,
Advanced Concepts for Intelligent Vision Systems (ACIVS),
2025.
- [C19]
Structure-Preserving Transformers for Sequences of SPD Matrices,
M. Seraphim , A. Lechervy , F. Yger , L. Brun and O. Etard,
European Signal Processing Conference (EUSIPCO 2024),
2024.
- [C18]
Balancing Accuracy and Efficiency in Budget-Aware Early-Exiting Neural Networks,
Y. Addad , A. Lechervy and F. Jurie,
International Conference on Pattern Recognition (ICPR),
2024.
- [C17]
Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation,
P. Dequidt , M. Seraphim , A. Lechervy , I.I. Gaez , L. Brun and O. Etard,
International Conference on Artificial Intelligence in Medicine (AIME 2023),
2023.
- [C16]
Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms,
M. Seraphim , P. Dequidt , A. Lechervy , F. Yger , L. Brun and O. Etard,
International Conference on Computer Analysis of Images and Patterns (CAIP 2023),
2023.
- [C15]
Multi-Exit Resource-Efficient Neural Architecture for Image Classification with Optimized Fusion Block,
Y. Addad , A. Lechervy and F. Jurie,
International Conference on Computer Vision (ICCV) Workshops,
2023.
- [C14]
Combining Vision and Language Representations for Patch-based ,
P. Jha , G. Dias , A. Lechervy , A. Jangra , J. Moreno , S. Pais and S. Sriparna,
Identification of Lexico-Semantic Relations. 30th ACM International Conference on Multimedia (ACM MM).,
2022.
- [C13]
Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality,
C. Rane , G. Dias , A. Lechervy and A. Ekbal,
SIGIR Conference on Research and Development in Information Retrieval,
2021.
- [C12]
Learning to classify materials using Mueller imaging polarimetry,
Y. Quéau , F. Leporcq , A. Lechervy and A. Alfalou,
Fourteenth International Conference on Quality Control by Artificial Vision,
May 2019.
- [C11]
TS-Net: Combining Modality Specific and Common Features for Multimodal Patch Matching,
S. En , A. Lechervy and F. Jurie,
IEEE International Conference on Image Processing (ICIP),
Athen, Greece, October 2018.
- [C10]
An Occam’s Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets,
V. Vielzeuf , C. Kervadec , S. Pateux , A. Lechervy and F. Jurie,
ICMI (EmotiW),
Boulder, Colorado, United States, October 2018.
- [C9]
CAKE: Compact and Accurate K-dimensional representation of Emotion,
C. Kervadec , V. Vielzeuf , S. Pateux , A. Lechervy and F. Jurie,
Image Analysis for Human Facial and Activity Recognition (BMVC Workshop),
September 2018.
- [C8]
RPNet: an End-to-End Network for Relative Camera Pose Estimation,
S. En , A. Lechervy and F. Jurie,
4th International Workshop on Recovering 6D Object Pose (ECCV Workshop),
Munich, Germany, September 2018.
- [C7]
CentralNet: a Multilayer Approach for Multimodal Fusion,
V. Vielzeuf , A. Lechervy , S. Pateux and F. Jurie,
Multimodal Learning and Applications (ECCV Workshop),
Munich, Germany, September 2018.
- [C6]
A Joint Learning Approach for Cross Domain Age Estimation,
B. Bhattarai , G. Sharma , A. Lechervy and F. Jurie,
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2016.
- [C5]
MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval,
R. Negrel , A. Lechervy and F. Jurie,
Proceedings of the British Machine Vision Conference (BMVC),
September 2016.
- [C4]
Boosted Metric Learning for Efficient Identity-Based Face Retrieval,
R. Negrel , A. Lechervy and F. Jurie,
Proceedings of the British Machine Vision Conference (BMVC),
September 2015.
- [C3]
Boosting kernel combination for multi-class image categorization,
A. Lechervy , P-h. Gosselin and F. Precioso ,
IEEE International Conference on Image Processing (ICIP),
Orlando, Florida, U.S.A, September 2012.
- [C2]
Linear kernel combination using boosting,
A. Lechervy , P-h. Gosselin and F. Precioso ,
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN),
Bruges, Belguim, April 2012.
- [C1]
Active Boosting for interactive object retrieval,
A. Lechervy , P-h. Gosselin and F. Precioso ,
International Conference on Pattern Recognition (ICPR),
Istanbul, Turkey, Aug. 2010.
National conferences with review process
- [N5]
Appariement d'images d'oeuvres d'Art avec descriptions textuelles variées,
R. Lemaire , A. Lechervy and Y. Chahir,
Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP),
Lille, France, Juillet 2024.
- [N4]
Analyse automatique de l'état de sommeil sur données EEG par utilisation de Transformers et de matrices de covariance,
M. Seraphim , P. Dequidt , A. Lechervy , F. Yger , L. Brun and O. Etard,
Journée des jeunes chercheurs en vision par ordinateur,
Caen, France, May 2023.
- [N3]
Fusion multimodale centrale RGB-polarimétrique pour l’analyse de scènes routières dans des conditions météorologiques dégradées,
L. Deregnaucourt , H. Laghmara , A. Lechervy and S. Ainouz,
Journée des jeunes chercheurs en vision par ordinateur,
Caen, France, May 2023.
- [N2]
Impact d'un algorithme de machine learning de resampling sur les radiomiques en IRM,
I. Moummad , C. Jaudet , A. Lechervy , S. Valable , C. Raboutet , J. Lacroix , A. Batalla and A. Corroyer-Dulmont,
Journée thématique Santé et Sciences du numérique,
Caen, France, Jun 2021.
- [N1]
Boosting actif pour la recherche interactive d'images,
A. Lechervy , P.-H Gosselin and F. Precioso,
Reconnaissance des Formes et Intelligence Artificielle (RFIA2010),
Caen, France, Jan. 2010.
Thesis
- HDR
Travaux sur l’apprentissage frugal et la fusion de modalités
A. Lechervy
In Université de Caen Normandie.
Caen, France, July. 2025.
- Phd
Apprentissage interactif et multi-classes pour la détection de concepts sémantiques dans des données multimédia,
A. Lechervy
In Université de Cergy-Pontoise.
Cergy, France, Dec. 2012.
