J'enseigne l'informatique et les mathématiques appliquées notamment à l'intelligence artificielle et à la vision par ordinateur (voir plus). Je suis responsable d'une formation en apprentissage de niveau master Vision et Machine Intelligente, et co-responsable d'un double diplôme dans ce domaine avec l'Université de Tunis El Manar (Ecole Nationale d'Ingénieur de Tunis).
Mon héritage scientifique et humain est lié à un des pionniers de l'informatique en France, Prof. Georges Stamon. Après avoir travaillé en robotique et imagerie aérienne, ma recherche se spécialise sur un domaine en expansion : la pathologie computationnelle et son application notamment à l'immunothérapie par le développement de nouveaux bio-marqueurs ou de test compagnons (voir plus).
Enfin, j'applique mon expérience dans le cadre d'une mission de l'Université autour de l'Entrepreneuriat Etudiant en lien avec le programme PEPITE. Cette mission se concrétise au niveau européen dans la Chaire Circle U. "Student Led Entrepreneurship for Sustainability" que j'occupe notamment pour l'organisation de challenges internationaux pour les étudiants et des partenaires de la société civile (voir plus).
I teach computer science and mathematics applied to artificial intelligence and computer vision (see more). I am responsible for an apprenticeship training at the Master level Vision and Intelligent Machine, and co-leader of a double degree in this field with the University of Tunis El Manar (National School of Engineering of Tunis).
My scientific and human heritage is linked to one of the pioneers of computer science in France, Prof. George Stamon. After having worked in robotics and aerial imaging, my research specializes in an expanding field: computational pathology and its application in particular to immunotherapy through the development of new biomarkers or companion tests (see more).
Finally, I apply my experience as part of a project at the University level about Student Entrepreneurship in connection with the PEPITE CreaJIdF. This mission materializes at the European level in the Chair Circle U. "Student Led Entrepreneurship for Sustainability" that I occupy in particular for the organization of international challenges for students and partners of civil society.prenom.nom at u-paris.fr
Department of Mathematics
and Computer Sciences
UFR Mathématiques et Informatique
Université Paris Cité
45 rue des Saints-Pères
75006 Paris
France
Publications
Last years (2020-2024). More on : G ScholarPeer-reviewed
- Calderaro J et al. Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma. Nat Commun. 2023 Dec 14;14(1):8290. doi: 10.1038/s41467-023-43749-3. PMID: 38092727; PMCID: PMC10719304. (IF >15)
- Zeng Q et al. Artificial intelligence-based pathology as a biomarker of sensitivity to atezolizumab-bevacizumab in patients with hepatocellular carcinoma: a multicentre retrospective study. Lancet Oncol. 2023 Nov 8:S1470-2045(23)00468-0. doi: 10.1016/S1470-2045(23)00468-0. Epub ahead of print. PMID: 37951222. (IF > 50)
- Zeng Q, Klein C, Caruso S, Maille P, Laleh NG, Sommacale D, Laurent A, Amaddeo G, Gentien D, Rapinat A, Regnault H, Charpy C, Nguyen CT, Tournigand C, Brustia R, Pawlotsky JM, Kather JN, Maiuri MC, Loménie N, Calderaro J. Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. J Hepatol. 2022 Feb 7:S0168-8278(22)00031-9. doi: 10.1016/j.jhep.2022.01.018. Epub ahead of print. PMID: 35143898 (IF>30).
- Loménie N, Bertrand C, Fick RHJ, Ben Hadj S, Tayart B, Tilmant C, Farré I, Azdad SZ, Dahmani S, Dequen G, Feng M, Xu K, Li Z, Prevot S, Bergeron C, Bataillon G, Devouassoux-Shisheboran M, Glaser C, Delaune A, Valmary-Degano S, Bertheau P. Can AI predict epithelial lesion categories via automated analysis of cervical biopsies: The TissueNet challenge? J Pathol Inform. 2022 Oct 5;13:100149. doi: 10.1016/j.jpi.2022.100149. PMID: 36605109; PMCID: PMC9808029
- Klein C, Zeng Q, Arbaretaz F, Devêvre E, Calderaro J, Lomenie N, Maiuri MC. Artificial intelligence for solid tumour diagnosis in digital pathology. Br J Pharmacol. 2021 Nov;178(21):4291-4315. doi: 10.1111/bph.15633. Epub 2021 Sep 13. PMID: 34302297.
- Gallois C, Emile JF, Kim S, Monterymard C, Gilabert M, Bez J, Lièvre A, Dahan L, Laurent-Puig P, Mineur L, Coriat R, Legoux JL, Hautefeuille V, Phelip JM, Lecomte T, Sokol H, Capron C, Randrian V, Lepage C, Lomenie N, Kurtz C, Taieb J, Tougeron D. Pembrolizumab with Capox Bevacizumab in patients with microsatellite stable metastatic colorectal cancer and a high immune infiltrate: The FFCD 1703-POCHI trial. Dig Liver Dis. 2021 Oct;53(10):1254-1259. doi: 10.1016/j.dld.2021.06.009. Epub 2021 Jun 30. PMID: 34215534.
- Agathe Delaune, Séverine Valmary-Degano, Nicolas Loménie, Karim Zryouil, Nesrine Benyahia, Olivier Trassard, Virginie Eraville, Christine Bergeron, Mojgan Devouassoux-Shisheboran, Claire Glaser, Guillaume Bataillon, Emmanuel Bacry, Stéphanie Combes, Sophie Prevot, Philippe Bertheau, Le premier data challenge organisé par la Société Française de Pathologie : une compétition internationale en 2020, un outil de recherche en intelligence artificielle pour l’avenir ?, Annales de Pathologie, 2022, ISSN 0242-6498, https://doi.org/10.1016/j.annpat.2021.10.002.
- Process For Determining The Infiltration Of Biological Cells In A Biological Object Of Interest, K Lemdani, J Seguin, AT Djiro, JF Emile, C Kurtz, N Lomenie, US Patent App. 16/431,237 (accepté en Novembre 2021 et étendu à l’Europe, lié à l’essai clinique de phase 2 en cours)
- Olivier Risser-Maroix, Camille Kurtz, Nicolas Loménie: Learning an Adaptation Function to Assess Image Visual Similarities. ICIP 2021: 2498-2502
- Évaluation et adaptation de réseaux VGG16 pour la détection de carcinome sur des lames d'histologie: de la résection à la biopsie, Q Zeng, N Loménie, C Klein, J Calderaro, ORASIS 2021
- Fonction d'adaptation pour similarité visuelle, O Risser-Maroix, A Marzouki, H Djeghim, C Kurtz, N Lomenie, ORASIS 2021
prenom.nom at u-paris.fr
Department of Mathematics and Computer Sciences / UFR Mathématiques et Informatique
Université Paris Cité
45 rue des Saints-Pères
75006 Paris
France
Projects
The big picture : broadly Computer Vision / Image Analysis and Artificial Intelligence etc.
[EssaiClinique] Gallois C, Emile JF, Kim S, Monterymard C, Gilabert M, Bez J, Lièvre A, Dahan L, Laurent-Puig P, Mineur L, Coriat R, Legoux JL, Hautefeuille V, Phelip JM, Lecomte T, Sokol H, Capron C, Randrian V, Lepage C, Lomenie N, Kurtz C, Taieb J, Tougeron D. Pembrolizumab with Capox Bevacizumab in patients with microsatellite stable metastatic colorectal cancer and a high immune infiltrate: The FFCD 1703-POCHI trial. Dig Liver Dis. 2021 Oct;53(10):1254-1259. doi: 10.1016/j.dld.2021.06.009. Epub 2021 Jun 30. PMID: 34215534.
[Brevet] Process For Determining The Infiltration Of Biological Cells In A Biological Object Of Interest, K Lemdani, J Seguin, AT Djiro, JF Emile, C Kurtz, N Lomenie, US Patent App. 16/431,237 (accepté en Novembre 2021 et étendu à l’Europe, lié à l’essai clinique de phase 2 en cours)
Qinghe Zeng is working on the interpretation of large scale and high content images of HES Whole Slide Images of hepato-carcinoma tissue. Specifically, by training deep learning models, we aim at linking immune signature to their phenotypic interpretation in images as the clinician is used to during his/her clinical practice. The benefits for the patient would be a better (in the sense more accessible) diagnostic and for the physicians (especially oncologists) a better understanding or design of bio-markers to characterize tumors at a personlized level.
Zhuxian Guo is doing his PhD (Data Intelligent Institute of Paris DIIP, since Nov. 2021) on the same kind of topic by studying the possiblity to achieve diagnostic results on HES staining WSI on par with specific IHC staining. Besides this effort, he will work with Henning Muller team fro Universtiy of Geneva - Sierre to work at an European level with as much as data as possible.
Olivier Risser-Maroix is working with a companny Smiths Detection on the detection of anomaly in cargo loads screened by X-Ray and on learning similarity between visual concepts.
Projets Passés / Past Projects : Computer Vision, Robotics and Augmented Reality, Satellite Imagery and bridge detection, artificial and bird vision, …are listed here.
prenom.nom at u-paris.fr
Department of Mathematics and Computer Sciences / UFR Mathématiques et Informatique
Université Paris Cité
45 rue des Saints-Pères
75006 Paris
France
Enseignements / Teaching
Data Science / Artificial Intelligence & Perception
--------------------------- To help starting : Image Sciences and some stuff.
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Various from Data to Medecine
--------------------------- To help starting : Talks@12: Data Science & Medicine / Harvard Medical School
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Algorithmics and Efficient Programming
------------------------------To help starting : International Collegiate Programming Contest
Programming languages
- Java / Oriented Object
- C / Imperative Programming Thoughts
prenom.nom at u-paris.fr
Department of Mathematics and Computer Sciences / UFR Mathématiques et Informatique
Université Paris Cité
45 rue des Saints-Pères
75006 Paris
France