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Halim Benhabiles
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2020 – today
- 2024
- [j10]Ben Veldhuijzen, Remco C. Veltkamp, Omar Ikne, Benjamin Allaert, Hazem Wannous, Marco Emporio, Andrea Giachetti, Joseph J. LaViola, Ruiwen He
, Halim Benhabiles, Adnane Cabani, Anthony Fleury, Karim Hammoudi, Konstantinos Gavalas
SHREC 2024: Recognition of dynamic hand motions molding clay. Comput. Graph. 123: 104012 (2024) - [j9]Bilel Guetarni
A Vision Transformer-Based Framework for Knowledge Transfer From Multi-Modal to Mono-Modal Lymphoma Subtyping Models. IEEE J. Biomed. Health Informatics 28(9): 5562-5572 (2024) - [i6]Fares Bougourzi, Féryal Windal Moulaï, Halim Benhabiles, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. CoRR abs/2403.11338 (2024) - [i5]Bilel Guetarni, Féryal Windal, Halim Benhabiles, Mahfoud Chaibi, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard:
Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction. CoRR abs/2408.03954 (2024) - 2023
- [i4]Bilel Guetarni, Féryal Windal, Halim Benhabiles, Marianne Petit, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard:
A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models. CoRR abs/2308.01328 (2023) - 2022
- [j8]Ruiwen He
A CNN-based methodology for cow heat analysis from endoscopic images. Appl. Intell. 52(8): 8372-8385 (2022) - [j7]Karim Hammoudi
SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data. J. Heal. Informatics Res. 6(4): 442-460 (2022) - [j6]Ziheng Yang
A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images. Neural Comput. Appl. 34(17): 14223-14238 (2022) - [c19]Ruiwen He
A Cervix Detection Driven Deep Learning Approach for Cow Heat Analysis from Endoscopic Images. ICIP 2022: 3672-3676 - [c18]Ziheng Yang, Halim Benhabiles, Féryal Windal, Jérôme Follet, Anne-Charlotte Leniere, Dominique Collard:
A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images. MOVI@MICCAI 2022: 156-166 - [i3]Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi:
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation. CoRR abs/2204.08458 (2022) - 2021
- [j5]Karim Hammoudi
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. J. Medical Syst. 45(7): 75 (2021) - [c17]Florent Langenfeld, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Genki Terashi, Xiao Wang, Daisuke Kihara, Halim Benhabiles
SHREC 2021: Surface-based Protein Domains Retrieval. 3DOR 2021: 19-26 - 2020
- [j4]Florent Langenfeld
SHREC 2020: Multi-domain protein shape retrieval challenge. Comput. Graph. 91: 189-198 (2020) - [i2]Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. CoRR abs/2004.03399 (2020) - [i1]Adnane Cabani, Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi:
MaskedFace-Net - A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19. CoRR abs/2008.08016 (2020)
2010 – 2019
- 2019
- [c16]Florent Langenfeld
Protein Shape Retrieval Contest. 3DOR@Eurographics 2019: 25-31 - [c15]Karim Hammoudi
Visual Communication with Successive Reading of Public and Secret Information by Generating Dual-Layer Images. Expressive (Posters, Demos, and Artworks) 2019: 17-18 - [c14]Karim Hammoudi
Image-Based Ciphering of Video Streams and Object Recognition for Urban and Vehicular Surveillance Services. ICICT (2) 2019: 519-527 - [c13]Halim Benhabiles
Deep Learning based Detection of Hair Loss Levels from Facial Images. IPTA 2019: 1-6 - 2018
- [c12]Karim Hammoudi
Towards a Model of Car Parking Assistance System Using Camera Networks: Slot Analysis and Communication Management. HPCC/SmartCity/DSS 2018: 1248-1255 - [c11]Halim Benhabiles
A Transfer Learning Exploited for Indexing Protein Structures from 3D Point Clouds. SaMBa@MICCAI 2018: 82-89 - [c10]Karim Hammoudi, Mahmoud Melkemi, Fadi Dornaika
A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis. MUE/FutureTech 2018: 221-227 - 2017
- [j3]Halim Benhabiles
Convolutional neural network for pottery retrieval. J. Electronic Imaging 26(1): 11005 (2017) - [c9]Karim Hammoudi
Detection Systems for Improving the Citizen Security and Comfort from Urban and Vehicular Surveillance Technologies: An Overview. IISSC/CN4IoT 2017: 37-45 - [c8]Karim Hammoudi
Analyzing and managing the slot occupancy of car parking by exploiting vision-based urban surveillance networks. MoWNet 2017: 1-6 - 2015
- [c7]Karim Hammoudi
Developing Vision-based and Cooperative Vehicular Embedded Systems for Enhancing Road Monitoring Services. ANT/SEIT 2015: 389-395 - 2014
- [c6]Halim Benhabiles
Belief-Function-Based Framework for Deformable 3D-Shape Retrieval. ICPR 2014: 285-290 - 2013
- [c5]Ahmed Maalej, Hedi Tabia, Halim Benhabiles
Dynamic 3D Facial Expression Recognition Using Robust Shape Features. SCIA 2013: 309-318 - 2012
- [c4]Halim Benhabiles
Kinematic Skeleton Extraction Based on Motion Boundaries for 3D Dynamic Meshes. 3DOR@Eurographics 2012: 71-76 - [c3]Guillaume Lavoué, Jean-Philippe Vandeborre, Halim Benhabiles
SHREC'12 Track: 3D Mesh Segmentation. 3DOR@Eurographics 2012: 93-99 - 2011
- [b1]Halim Benhabiles:
3D-mesh segmentation: automatic evaluation and a new learning-based method. Lille University of Science and Technology, France, 2011 - [j2]Halim Benhabiles
Learning Boundary Edges for 3D-Mesh Segmentation. Comput. Graph. Forum 30(8): 2170-2182 (2011) - 2010
- [j1]Halim Benhabiles
A comparative study of existing metrics for 3D-mesh segmentation evaluation. Vis. Comput. 26(12): 1451-1466 (2010) - [c2]Halim Benhabiles
A subjective experiment for 3D-mesh segmentation evaluation. MMSP 2010: 356-360
2000 – 2009
- 2009
- [c1]Halim Benhabiles
A framework for the objective evaluation of segmentation algorithms using a ground-truth of human segmented 3D-models. Shape Modeling International 2009: 36-43
Coauthor Index
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last updated on 2024-10-07 21:13 CEST by the dblp team
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