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Merge pull request #23 from MSD-IRIMAS/aif/updates-may2025
[ENH] Updates from january to may 2025
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‎jsons/news.json‎

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{
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"news":[
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{
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"date": "2025.04",
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"content": "One conference paper accepted in <a href=\"https://2025.ijcnn.org/\">IJCNN 2025</a> on diversity-driven time series classification deep ensembles"
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},
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{
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"date": "2025.03",
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"content": "Kick-off meeting of the ANR <a href=\"https://anr.fr/Projet-ANR-24-CE23-1130\">M2-BDA</a> project !"
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},
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{
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"date": "2025.03",
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"content": "<a href=\"https://maxime-devanne.com/\">Maxime Devanne</a> is in Brest for working with the CHRU, partner of the <a href=\"https://maxime-devanne.com/delegation/\">DELEGATION</a> project"
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},
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{
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"date": "2025.03",
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"content": "One journal paper accepted in <a href=\"https://www.sciencedirect.com/journal/computer-vision-and-image-understanding\">CVIU</a> on <a href=\"https://doi.org/10.1016/j.cviu.2025.104337\">evaluating generative models for human motion</a>"
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},
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{
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"date": "2025.02",
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"content": "Welcome to Victor and Basak who just started their Master Internship in our team!"
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},
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{
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"date": "2025.01",
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"content": "<a href=\"http://www.micc.unifi.it/berretti/\" target=\"_blank\">Stefano Berretti</a>, Professor from University of Florence, is visiting our group for one week"

‎jsons/people.json‎

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"lastname": "Ismail-Fawaz",
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"link": "https://hadifawaz1999.github.io",
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"pic_links": ["imgs/people/hadi.jpg"],
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"position": "PhD student",
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"dates" : "2022-now"
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},
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{
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"firstname": "Mihreteab",
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"lastname": "Negash",
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"link": "https://et.linkedin.com/in/mihreteab-negash-09ba7537",
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"pic_links": ["imgs/people/mihreteab.jpg"],
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"position": "PhD student",
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"dates" : "2020-now"
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"position": "Postdoc",
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"dates" : "2025-now"
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},
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{
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"firstname": "Joachim",
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"engineer":[
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],
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"alumni":[
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{
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"firstname": "Mihreteab",
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"lastname": "Negash",
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"link": "https://et.linkedin.com/in/mihreteab-negash-09ba7537",
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"pic_links": ["imgs/people/mihreteab.jpg"],
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"position": "PhD student",
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"dates" : "2020-now"
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},
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{
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"firstname": "Mounir",
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"lastname": "Bendali-Braham",

‎jsons/projects.json‎

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{
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"current":[
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{
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"name": "TURFU-NET",
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"link": "https://turfu.icube.unistra.fr/",
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"date": "2024-",
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"topic": "Transcending the Usual Rationale for the Future of Ubiquitous NETworks",
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"partners": ["iCube (Strabourg)", "LIP6"],
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"partners_links": ["https://icube.unistra.fr/", "https://www.lip6.fr/recherche/team.php?acronyme=NPA"],
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"role": "Member",
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"fundings": "ANR (TSIA instrument)"
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},
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{
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"name": "M2-BDA",
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"link": "https://anr.fr/Projet-ANR-24-CE23-1130",
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"date": "2024-",
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"topic": "Multi-Modal Big Data Analytics for remote sensing",
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"partners": ["LIVE", "ITES", "LIPADE", "DATA TERRA"],
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"partners_links": ["https://live.unistra.fr/", "https://ites.unistra.fr/", "https://lipade.mi.parisdescartes.fr/?lang=fr", "https://www.data-terra.org/en/"],
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"role": "Member",
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"fundings": "ANR"
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},
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{
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"name": "COPCOT",
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"link": "https://anr.fr/Projet-ANR-22-CE38-0003",
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"date": "2023-",
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"topic": "COntent Personalization for skill-building on COmputational Thinking",
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"partners": ["CREM", "France-IOI"],
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"partners_links": ["https://crem.univ-lorraine.fr/lunite/equipes-de-recherche/pixel", "https://www.france-ioi.org/"],
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"role": "Member",
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"fundings": "ANR (JCJC instrument)"
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},
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{
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"name": "CHOICED",
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"link": "#",
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"date": "2023-",
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"topic": "CHoice Of referral between City medicine or Emergency Department",
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"partners": ["SAMU 57", "SAMU 67", "iCube (Strabourg)"],
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"partners_links": ["https://www.chr-metz-thionville.fr/index.html", "https://www.chru-strasbourg.fr/service/le-service-daide-medicale-urgente-samu/", "https://icube.unistra.fr/"],
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"role": "Member",
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"fundings": "ReSP-Ir GIRCI Est"
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},
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{
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"name": "IMPULSE",
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"link": "#",
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"date": "2023-",
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"topic": "Multimodal approach to detect and assess the risk of malignancy of IPMN, a frequent pancreatic precancerous lesion",
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"partners": ["iCube (Strabourg)", "Inflammation Research Center (CRI)"],
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"partners_links": ["https://icube.unistra.fr/", "https://cri1149.fr/"],
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"role": "Member",
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"fundings": "ARC, Pancréas 2022"
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},
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{
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"name": "DELEGATION",
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"link": "https://maxime-devanne.com/delegation/",
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"role": "Coordinator",
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"fundings": "ANR (JCJC instrument)"
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},
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{
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"name": "REVEIL",
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"link": "",
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"date": "2022-",
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"topic": "Virtual reality application for rehabilitation",
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"partners": ["LISEC", "CRM"],
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"partners_links": ["http://www.lisec-recherche.eu/membre/escriva-boulley-geraldine", "https://www.arfp.asso.fr"],
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"role": "Coordinator",
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"fundings": "Fondation Matmut Paul Bennetot"
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},
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{
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"name": "EviDeep",
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"link": "",
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"fundings": "ANR (JCJC instrument)"
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},
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{
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"name": "Mi*EDGE",
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"link": "https://www.era-learn.eu/network-information/networks/eracosysmed/3rd-joint-transnational-call-for-european-research-projects-on-systems-medicine/modelling-cell-plasticity-at-the-invasive-edge-to-diminish-glioblastoma-early-relapse-risk",
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"date": "2020-",
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"topic": "Modelling cell plasticity at the invasive Edge to Diminish Glioblastoma Early relapse risk",
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"partners": ["ICube","MHH (Germany)","TUD (Germany)","Humanitas (Italy)","LCBS (Luxembourg)"],
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"partners_links": ["https://sdc.icube.unistra.fr/en/index.php?title=Home", "https://www.mhh.de/institute-zentren-forschungseinrichtungen/institut-fuer-pathologie", "https://tu-dresden.de", "https://5x1000.humanitas.it/news/locati-massimo/", "https://wwwfr.uni.lu/lcsb"],
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"role": "Partner",
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"fundings": "ERACoSysmed/ANR"
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"name": "Highland ",
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"link": "https://anr.fr/Projet-ANR-20-CE01-0006",
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"date": "2021-",
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"topic": "Deep learning for anomaly detection in non-destructive control",
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"partners": ["Institut de Physique du Globe de Strasbourg (UMR 7516)"],
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"partners_links": ["https://fondation.unistra.fr/projet/institut-de-physique-du-globe-de-strasbourg-ipgs-umr-7516/"],
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"role": "Member",
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"fundings": "ANR (JCJC instrument)"
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}
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],
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"past":[
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{
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"name": "REVEIL",
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"link": "",
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"date": "2022-",
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"topic": "Virtual reality application for rehabilitation",
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"partners": ["LISEC", "CRM"],
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"partners_links": ["http://www.lisec-recherche.eu/membre/escriva-boulley-geraldine", "https://www.arfp.asso.fr"],
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"role": "Coordinator",
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"fundings": "Fondation Matmut Paul Bennetot"
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},
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{
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"name": "Enygma",
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"link": "",
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"role": "Partner",
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"fundings": "Région Grand-Est"
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},
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{
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"name": "Mi*EDGE",
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"link": "https://www.era-learn.eu/network-information/networks/eracosysmed/3rd-joint-transnational-call-for-european-research-projects-on-systems-medicine/modelling-cell-plasticity-at-the-invasive-edge-to-diminish-glioblastoma-early-relapse-risk",
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"date": "2020-",
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"topic": "Modelling cell plasticity at the invasive Edge to Diminish Glioblastoma Early relapse risk",
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"partners": ["iCube (Strabourg)","MHH (Germany)","TUD (Germany)","Humanitas (Italy)","LCBS (Luxembourg)"],
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"partners_links": ["https://sdc.icube.unistra.fr/en/index.php?title=Home", "https://www.mhh.de/institute-zentren-forschungseinrichtungen/institut-fuer-pathologie", "https://tu-dresden.de", "https://5x1000.humanitas.it/news/locati-massimo/", "https://wwwfr.uni.lu/lcsb"],
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"role": "Partner",
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"fundings": "ERACoSysmed/ANR"
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},
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{
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"name": "APIAC",
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"link": "",
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"link": "https://wemmertc.github.io/aicolo/",
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"date": "2019-2023",
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"topic": "Artificial intelligence to determine prognosis and mutation status in colorectal cancer using histological slides",
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"partners": ["ICube","CGFL"],
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"partners": ["iCube (Strabourg)","CGFL"],
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"partners_links": ["https://sdc.icube.unistra.fr/en/index.php?title=Home", "https://www.cgfl.fr"],
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"role": "Partner",
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"fundings": "INSERM, plan cancer"

‎pages/dl4tsc/static/jsons/paper_data.json‎

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"pdf_link": "https://arxiv.org/pdf/1809.04356.pdf",
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"doi_link": "https://doi.org/10.1007/s10618-019-00619-1",
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"code_link": "https://github.com/hfawaz/dl-4-tsc",
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"abstract": "<p>Time Series Classification (TSC) is an important task and can be seen in multiple domains ranging from the medical field to human action recognition. In 2019, a review by <a href\"https://doi.org/10.1007/s10618-019-00619-1\">Ismail Fawaz et al.</a> for deep learning to solve this TSC problem was done. More recently, new state-of-the-art models such as InceptionTime have been proposed. All of the models are evaluated on the 128 datasets of the <a href=\"https://www.cs.ucr.edu/~eamonn/time_series_data_2018/\"> UCR archive </a>. In this platform, we present all of the deep learning models for TSC evaluated on the UCR archive with four different visualization for their comparison. These comparison include a Critical Difference diagram, a Multi-Comparison Matrix, One-vs-One scatter plots and an efficiency comparison based on the number of parameters and FLOPS.</p>",
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"abstract": "<p>Time Series Classification (TSC) is an important task and can be seen in multiple domains ranging from the medical field to human action recognition. In 2019, a review by <a href=\"https://doi.org/10.1007/s10618-019-00619-1/\">Ismail Fawaz et al.</a> for deep learning to solve this TSC problem was done. More recently, new state-of-the-art models such as InceptionTime have been proposed. All of the models are evaluated on the 128 datasets of the <a href=\"https://www.cs.ucr.edu/~eamonn/time_series_data_2018/\"> UCR archive </a>. In this platform, we present all of the deep learning models for TSC evaluated on the UCR archive with four different visualization for their comparison. These comparison include a Critical Difference diagram, a Multi-Comparison Matrix, One-vs-One scatter plots and an efficiency comparison based on the number of parameters and FLOPS.</p>",
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"image_overview": "./static/images/cd_diagram/cd-diagram.png",
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"image_overview2" : "./static/images/mcm/dl4tsc.png",
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"caption_overview": "<a href=\"https://github.com/hfawaz/cd-diagram\">Critical Difference Diagram</a> comparing Deep Learning architectures on the UCR archive. The CD Diagram shows the ordering of the classifiers on the average rank while cliques represent non-sinificant statistical difference between a pair of classifiers.",

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