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.

Ass.Prof. Nicolas Loménie

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 (2018-2022). More on : G Scholar
Peer-reviewed
  • 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.
  • 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.
Patents
  • 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)
Conferences
  • Olivier Risser-Maroix, Camille Kurtz, Nicolas Loménie: Learning an Adaptation Function to Assess Image Visual Similarities. ICIP 2021: 2498-2502
  • Tiédé Armand Djiro, Camille Kurtz, Nicolas Loménie: Assessment of Anti-tumor Immune Response in Colorectal Carcinomas from Whole Slide Images. ICIAR 2018: 579-588 (étudiant Master 2)
  • 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



Ass.Prof. Nicolas Loménie

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.

currently focusing on: Digital and Computational Pathology
[Annales] 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.
[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.
[Zeng1] 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.
[Zeng2] 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.

Zhuxian Guo is starting 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.
[Risser1] Olivier Risser-Maroix, Camille Kurtz, Nicolas Loménie: Learning an Adaptation Function to Assess Image Visual Similarities. ICIP 2021: 2498-2502

Projets Passés / Past Projects : Computer Vision, Robotics and Augmented Reality, Satellite Imagery and bridge detection, artificial and bird vision, …are listed here.





Ass.Prof. Nicolas Loménie

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.

Artificial Intelligence : Bibliographie Intelligence Artificielle 

Pattern Recognition : Material 

Image processing & analysis : Material   

Computer Vision : Instructions -Material 

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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

Algorithmique avancée/Advanced Algorithmic: Cours et Materiel de TP 

Programming languages

-      Java / Oriented Object 

-      C / Imperative Programming  Thoughts





Ass.Prof. Nicolas Loménie

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

Plain Academic