Halim Benhabiles
Maître de conférences
Laboratoire / équipe
Publications
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"citationFull_s":"Bilel Guetarni, Feryal Windal, Halim Benhabiles, Marianne Petit, Romain Dubois, et al.. A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models. 2024. <a target=\"_blank\" href=\"https://hal.science/hal-04456283v1\">⟨hal-04456283⟩</a>",
"title_s":["A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models","Un framework basé sur le vision transformer pour le transfert de connaissance multi-modal vers mono-modal de modèles de sous-typage de lymphome."],
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"citationRef_s":"<i>8th International Conference on Computing, Control and Industrial Engineering, CCIE2024</i>, Apr 2024, Wuhan, China. pp.170-178, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-981-97-6937-7_20\">⟨10.1007/978-981-97-6937-7_20⟩</a>",
"citationFull_s":"Michael Selasi Dzamesi, Feryal Windal, Karim Hammoudi, Emmanuelle Leteurte, Halim Benhabiles. A Convolution-Assisted Vision Transformer for the Classification of Pancreatic Ductal Adenocarcinoma. <i>8th International Conference on Computing, Control and Industrial Engineering, CCIE2024</i>, Apr 2024, Wuhan, China. pp.170-178, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-981-97-6937-7_20\">⟨10.1007/978-981-97-6937-7_20⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04747722v1\">⟨hal-04747722⟩</a>",
"title_s":["A Convolution-Assisted Vision Transformer for the Classification of Pancreatic Ductal Adenocarcinoma"],
"authFullName_s":["Michael Selasi Dzamesi","Feryal Windal","Karim Hammoudi","Emmanuelle Leteurte","Halim Benhabiles"],
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"citationRef_s":"<i>Journal of Healthcare Informatics Research</i>, 2023, 6, pp.442-460. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s41666-022-00122-1\">⟨10.1007/s41666-022-00122-1⟩</a>",
"citationFull_s":"Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, et al.. SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data. <i>Journal of Healthcare Informatics Research</i>, 2023, 6, pp.442-460. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s41666-022-00122-1\">⟨10.1007/s41666-022-00122-1⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03951542v1\">⟨hal-03951542⟩</a>",
"title_s":["SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data"],
"authFullName_s":["Karim Hammoudi","Adnane Cabani","Bouthaina Slika","Halim Benhabiles","Fadi Dornaika","Mahmoud Melkemi"],
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"citationRef_s":"<i>2022 IEEE International Conference on Image Processing (ICIP)</i>, Oct 2022, Bordeaux, France. pp.3672-3676, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/ICIP46576.2022.9897442\">⟨10.1109/ICIP46576.2022.9897442⟩</a>",
"citationFull_s":"Ruiwen He, Halim Benhabiles, Feryal Windal, Gael Even, Christophe Audebert, et al.. A Cervix Detection Driven Deep Learning Approach for Cow Heat Analysis from Endoscopic Images. <i>2022 IEEE International Conference on Image Processing (ICIP)</i>, Oct 2022, Bordeaux, France. pp.3672-3676, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/ICIP46576.2022.9897442\">⟨10.1109/ICIP46576.2022.9897442⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03839222v1\">⟨hal-03839222⟩</a>",
"title_s":["A Cervix Detection Driven Deep Learning Approach for Cow Heat Analysis from Endoscopic Images"],
"authFullName_s":["Ruiwen He","Halim Benhabiles","Feryal Windal","Gael Even","Christophe Audebert","Dominique Collard","Abdelmalik Taleb-Ahmed"],
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"citationFull_s":"Karim Hammoudi, Adnane Cabani, Halim Benhabiles, Mahmoud Melkemi. Image Style Transferred to Graphical User Interfaces. 2022. <a target=\"_blank\" href=\"https://hal.science/hal-03798607v1\">⟨hal-03798607⟩</a>",
"title_s":["Image Style Transferred to Graphical User Interfaces"],
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"citationRef_s":"<i>Medical Optical Imaging and Virtual Microscopy Image Analysis. MOVI 2022, held in conjunction with MICCAI 2022</i>, Sep 2022, Singapore, Singapore. pp.156-166, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-16961-8_16\">⟨10.1007/978-3-031-16961-8_16⟩</a>",
"citationFull_s":"Ziheng Yang, Halim Benhabiles, Feryal Windal, Jérôme Follet, Anne-Charlotte Leniere, et al.. A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images. <i>Medical Optical Imaging and Virtual Microscopy Image Analysis. MOVI 2022, held in conjunction with MICCAI 2022</i>, Sep 2022, Singapore, Singapore. pp.156-166, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-16961-8_16\">⟨10.1007/978-3-031-16961-8_16⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03793026v1\">⟨hal-03793026⟩</a>",
"title_s":["A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images"],
"authFullName_s":["Ziheng Yang","Halim Benhabiles","Feryal Windal","Jérôme Follet","Anne-Charlotte Leniere","Dominique Collard"],
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"citationFull_s":"Tarek Maylaa, Feryal Windal, Halim Benhabiles, Gregory Maubon, Nathalie Maubon, et al.. A Hierarchical Deep Learning Framework for Nuclei 3D Reconstruction from Microscopic Stack-Images of 3D Cancer Cell Culture. <i>6th edition of the WorldS4 2022</i>, Aug 2022, London, United Kingdom. pp.225-235, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-981-19-7663-6_22\">⟨10.1007/978-981-19-7663-6_22⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04102225v1\">⟨hal-04102225⟩</a>",
"title_s":["A Hierarchical Deep Learning Framework for Nuclei 3D Reconstruction from Microscopic Stack-Images of 3D Cancer Cell Culture"],
"authFullName_s":["Tarek Maylaa","Feryal Windal","Halim Benhabiles","Gregory Maubon","Nathalie Maubon","Elodie Vandenhaute","Dominique Collard"],
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"citationRef_s":"<i>Applied Intelligence</i>, 2022, 52, pp 8372-8385. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10489-021-02910-5\">⟨10.1007/s10489-021-02910-5⟩</a>",
"citationFull_s":"Ruiwen He, Halim Benhabiles, Feryal Windal, Gaël Even, Christophe Audebert, et al.. A CNN-Based Methodology for Cow Heat Analysis from Endoscopic Images. <i>Applied Intelligence</i>, 2022, 52, pp 8372-8385. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10489-021-02910-5\">⟨10.1007/s10489-021-02910-5⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03429750v1\">⟨hal-03429750⟩</a>",
"title_s":["A CNN-Based Methodology for Cow Heat Analysis from Endoscopic Images"],
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"citationRef_s":"<i>Current Computer Aided-Drug Design</i>, 2022, 18 (2), pp.81-94. <a target=\"_blank\" href=\"https://dx.doi.org/10.2174/1573409918666220208120756\">⟨10.2174/1573409918666220208120756⟩</a>",
"citationFull_s":"Tarek Maylaa, Feryal Windal, Halim Benhabiles, Gregory Maubon, Nathalie Maubon, et al.. An evaluation of computational learning-based methods for the segmentation of nuclei in cervical cancer cells from microscopic images. <i>Current Computer Aided-Drug Design</i>, 2022, 18 (2), pp.81-94. <a target=\"_blank\" href=\"https://dx.doi.org/10.2174/1573409918666220208120756\">⟨10.2174/1573409918666220208120756⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03607696v1\">⟨hal-03607696⟩</a>",
"title_s":["An evaluation of computational learning-based methods for the segmentation of nuclei in cervical cancer cells from microscopic images"],
"authFullName_s":["Tarek Maylaa","Feryal Windal","Halim Benhabiles","Gregory Maubon","Nathalie Maubon","Elodie Vandenhaute","Dominique Collard"],
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"citationFull_s":"Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, et al.. SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation. 2022. <a target=\"_blank\" href=\"https://hal.science/hal-03639460v1\">⟨hal-03639460⟩</a>",
"title_s":["SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation"],
"authFullName_s":["Karim Hammoudi","Adnane Cabani","Bouthaina Slika","Halim Benhabiles","Fadi Dornaika","Mahmoud Melkemi"],
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"citationRef_s":"<i>Journal of Molecular Graphics and Modelling</i>, 2022, 111, pp.108103. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.jmgm.2021.108103\">⟨10.1016/j.jmgm.2021.108103⟩</a>",
"citationFull_s":"Florent Langenfeld, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Genki Terashi, et al.. Surface-based protein domains retrieval methods from a SHREC2021 challenge. <i>Journal of Molecular Graphics and Modelling</i>, 2022, 111, pp.108103. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.jmgm.2021.108103\">⟨10.1016/j.jmgm.2021.108103⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03538936v1\">⟨hal-03538936⟩</a>",
"title_s":["Surface-based protein domains retrieval methods from a SHREC2021 challenge"],
"authFullName_s":["Florent Langenfeld","Tunde Aderinwale","Charles Christoffer","Woong-Hee Shin","Genki Terashi","Xiao Wang","Daisuke Kihara","Halim Benhabiles","Karim Hammoudi","Adnane Cabani","Feryal Windal","Mahmoud Melkemi","Ekpo Otu","Reyer Zwiggelaar","David Hunter","Yonghuai Liu","Léa Sirugue","Huu-Nghia Nguyen","Tuan-Duy Nguyen","Vinh-Thuyen Nguyen-Truong","Danh Le","Hai-Dang Nguyen","Minh-Triet Tran","Matthieu Montès"],
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"citationFull_s":"Florent Langenfeld, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Genki Terashi, et al.. SHREC 2021: surface-based protein domains retrieval. <i>3D Shape Retrieval Challenge SHREC 2021 in 14th Eurographics Workshop on 3D Object Retrieval 2021, 3DOR'21</i>, Sep 2021, online, France. pp.19-26. <a target=\"_blank\" href=\"https://hal.science/hal-03467479v1\">⟨hal-03467479⟩</a>",
"title_s":["SHREC 2021: surface-based protein domains retrieval"],
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"citationRef_s":"<i>Signal & Image Processing : An International Journal</i>, 2021, 45 (7), pp.75. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10916-021-01745-4\">⟨10.1007/s10916-021-01745-4⟩</a>",
"citationFull_s":"Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, et al.. Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. <i>Signal & Image Processing : An International Journal</i>, 2021, 45 (7), pp.75. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10916-021-01745-4\">⟨10.1007/s10916-021-01745-4⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02533605v1\">⟨hal-02533605⟩</a>",
"title_s":["Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19"],
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"citationRef_s":"<i>Smart Health</i>, 2021, 19, pp.100144 -. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.smhl.2020.100144\">⟨10.1016/j.smhl.2020.100144⟩</a>",
"citationFull_s":"Adnane Cabani, Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi. MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19. <i>Smart Health</i>, 2021, 19, pp.100144 -. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.smhl.2020.100144\">⟨10.1016/j.smhl.2020.100144⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03492834v1\">⟨hal-03492834⟩</a>",
"title_s":["MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19"],
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"citationRef_s":"<i>Sixth International Congress on Information and Communication Technology, ICICT 2021</i>, Feb 2021, London (Virtual), United Kingdom. pp.457-464, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-981-16-2102-4_42\">⟨10.1007/978-981-16-2102-4_42⟩</a>",
"citationFull_s":"Halim Benhabiles, Abdelhakim Azzouz, Feryal Windal, Oriane Karleskind, Antonino Bongiovanni, et al.. Deep Learning-Based Classification of Pancreatic Adenocarcinoma from Fine Needle Aspiration/Biopsy Microscopic Images. <i>Sixth International Congress on Information and Communication Technology, ICICT 2021</i>, Feb 2021, London (Virtual), United Kingdom. pp.457-464, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-981-16-2102-4_42\">⟨10.1007/978-981-16-2102-4_42⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03559897v1\">⟨hal-03559897⟩</a>",
"title_s":["Deep Learning-Based Classification of Pancreatic Adenocarcinoma from Fine Needle Aspiration/Biopsy Microscopic Images"],
"authFullName_s":["Halim Benhabiles","Abdelhakim Azzouz","Feryal Windal","Oriane Karleskind","Antonino Bongiovanni","Meryem Tardivel","Thomas Lambin","Romain Gerard","Emmanuelle Leteurtre","Dominique Collard"],
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"citationFull_s":"Ziheng Yang, Halim Benhabiles, Karim Hammoudi, Feryal Windal, Ruiwen He, et al.. A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images. <i>Neural Computing and Applications</i>, 2021, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s00521-021-06604-4\">⟨10.1007/s00521-021-06604-4⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03457872v1\">⟨hal-03457872⟩</a>",
"title_s":["A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images"],
"authFullName_s":["Ziheng Yang","Halim Benhabiles","Karim Hammoudi","Feryal Windal","Ruiwen He","Dominique Collard"],
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"citationRef_s":"<i>Computers and Graphics</i>, 2020, 91, pp.189-198. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.cag.2020.07.013\">⟨10.1016/j.cag.2020.07.013⟩</a>",
"citationFull_s":"Florent Langenfeld, Yuxu Peng, Yu-Kun Lai, Paul L. Rosin, Tunde Aderinwale, et al.. SHREC 2020: multi-domain protein shape retrieval challenge. <i>Computers and Graphics</i>, 2020, 91, pp.189-198. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.cag.2020.07.013\">⟨10.1016/j.cag.2020.07.013⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03321566v1\">⟨hal-03321566⟩</a>",
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"authFullName_s":["Florent Langenfeld","Yuxu Peng","Yu-Kun Lai","Paul L. Rosin","Tunde Aderinwale","Genki Terashi","Charles Christoffer","Daisuke Kihara","Halim Benhabiles","Karim Hammoudi","Adnane Cabani","Feryal Windal","Mahmoud Melkemi","Andrea Giachetti","Stelios Mylonas","Apostolos Axenopoulos","Petros Daras","Ekpo Otu","Reyer Zwiggelaar","David Hunter","Yonghuai Liu","Matthieu Montes"],
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"citationFull_s":"Claudia A. Ribeiro, Pedro Pinto, Christopher J. Warren, Alexis Vlandas, Isabelle Vuylsteke, et al.. Interreg 2 seas Project: Health For Dairy Cows, H4DC. <i>Access Microbiology</i>, 2020, 2 (7A), <a target=\"_blank\" href=\"https://dx.doi.org/10.1099/acmi.ac2020.po0641\">⟨10.1099/acmi.ac2020.po0641⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04388719v1\">⟨hal-04388719⟩</a>",
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"authFullName_s":["Claudia A. Ribeiro","Pedro Pinto","Christopher J. Warren","Alexis Vlandas","Isabelle Vuylsteke","Evi Canniere","Martine Dellevoet","Janine Roemen","Anne Bourgeois","Helene Leruste","Maud Roblin","Feryal Windal","Halim Benhabiles","O. Hammouma","Caroline Deweer","Gary Robinson"],
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"citationFull_s":"Karim Hammoudi, Adnane Cabani, Halim Benhabiles, Mahmoud Melkemi. Validating the correct wearing of protection mask by taking a selfie: design of a mobile application \"CheckYourMask\" to limit the spread of COVID-19. 2020. <a target=\"_blank\" href=\"https://hal.science/hal-02614790v1\">⟨hal-02614790⟩</a>",
"title_s":["Validating the correct wearing of protection mask by taking a selfie: design of a mobile application \"CheckYourMask\" to limit the spread of COVID-19"],
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"citationRef_s":"<i>Computer Modeling in Engineering and Sciences</i>, 2020, 124 (3), pp.1049-1059. <a target=\"_blank\" href=\"https://dx.doi.org/10.32604/cmes.2020.011663\">⟨10.32604/cmes.2020.011663⟩</a>",
"citationFull_s":"Karim Hammoudi, Adnane Cabani, Halim Benhabiles, Mahmoud Melkemi. Validating the CorrectWearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19. <i>Computer Modeling in Engineering and Sciences</i>, 2020, 124 (3), pp.1049-1059. <a target=\"_blank\" href=\"https://dx.doi.org/10.32604/cmes.2020.011663\">⟨10.32604/cmes.2020.011663⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03323304v1\">⟨hal-03323304⟩</a>",
"title_s":["Validating the CorrectWearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19"],
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"citationRef_s":"<i>Advanced Multimedia and Ubiquitous Engineering</i>, 518, Springer Singapore, pp.221-227, 2019, Lecture Notes in Electrical Engineering, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-981-13-1328-8_28\">⟨10.1007/978-981-13-1328-8_28⟩</a>",
"citationFull_s":"Karim Hammoudi, Mahmoud Melkemi, Fadi Dornaika, Halim Benhabiles, Feryal Windal, et al.. A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis. <i>Advanced Multimedia and Ubiquitous Engineering</i>, 518, Springer Singapore, pp.221-227, 2019, Lecture Notes in Electrical Engineering, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-981-13-1328-8_28\">⟨10.1007/978-981-13-1328-8_28⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03747614v1\">⟨hal-03747614⟩</a>",
"title_s":["A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis"],
"authFullName_s":["Karim Hammoudi","Mahmoud Melkemi","Fadi Dornaika","Halim Benhabiles","Feryal Windal","Oussama Taoufik"],
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