Parties d'ouvrages collectifs (2)

  1. 1. Moles Lopez, X., Debeir, O., Salmon, I., & Decaestecker, C. (2014). Whole slide imaging and analysis for biomarker evaluation in digital pathology. In In: A. Méndez-Vilas (Ed.), Microscopy: advances in scientific research and education (pp. 776-787). Formatex Research Center.
  2. 2. Debeir, O., Adanja, I., Kiss, R., & Decaestecker, C. (2008). Models of cancer cell migration and cellular imaging and analysis. In In: Anja Lambrechts, Christophe Ampe (Eds), The Motile Actin System in Health and Disease (pp. 123-156). Kerala (India): Transworld Research Signpost.
  3.   Articles dans des revues avec comité de lecture (259)

  4. 1. Verocq, C., Noël, J. C., Charry, M., Zindy, E., Rorive, S., Salmon, I., Decaestecker, C., & Catteau, X. (2024). Inverse correlation between the amounts of lymphocytic infiltrate and stroma in breast carcinoma. Heliyon, 10(22), e40295. doi:10.1016/j.heliyon.2024.e40295
  5. 2. Racu, M.-L., Schiavo, A. A., Van Campenhout, C., De Nève, N., Masuy, T., Maris, C., Decaestecker, C., Remmelink, M., Salmon, I., & D'Haene, N. (2024). Validation of a targeted next-generation sequencing panel for pancreatic ductal adenocarcinomas. Experimental and molecular pathology, 139, 104920. doi:10.1016/j.yexmp.2024.104920
  6. 3. Galvez Jiménez, L., & Decaestecker, C. (2024). Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology. Computers in biology and medicine, 177, 108586. doi:10.1016/j.compbiomed.2024.108586
  7. 4. Lavis, P., Pingitore, J., Doumont, G., Garabet, A., Van Simaeys, G., Lacroix, S., Passon, N., Van Heymbeek, C., De Maeseneire, C., Allard, J., Collin, A., Huaux, F., Decaestecker, C., Salmon, I., Goldman, S., Cardozo, A. K., & Bondue, B. (2023). Usefulness of FAPα assessment in bronchoalveolar lavage as a marker of fibrogenesis: results of a preclinical study and first report in patients with idiopathic pulmonary fibrosis. Respiratory research, 24(1), 254. doi:10.1186/s12931-023-02556-6
  8. 5. Lengrand, J., Pastushenko, I., Vanuytven, S., Song, Y., Venet, D., Sarate, R. M., Bellina, M., Moers, V., Boinet, A., Sifrim, A., Rama, N., Ducarouge, B., Van Herck, J., Dubois, C., Scozzaro, S., Lemaire, S., Gieskes, S., Bonni, S., Collin, A., Braissand, N., Allard, J., Zindy, E., Decaestecker, C., Sotiriou, C., Salmon, I., Mehlen, P., Voet, T., Bernet, A., & Blanpain, C. (2023). Pharmacological targeting of netrin-1 inhibits EMT in cancer. Nature (London). doi:10.1038/s41586-023-06372-2
  9. 6. Cassier, P. A., Navaridas, R., Bellina, M., Rama, N., Ducarouge, B., Hernandez-Vargas, H., Delord, J. P., Lengrand, J., Paradisi, A., Fattet, L., Garin, G., Gheit, H., Dalban, C., Pastushenko, I., Neves, D., Jelin, R., Gadot, N., Braissand, N., Léon, S., Degletagne, C., Matias-Guiu, X., Devouassoux-Shisheboran, M., Mery-Lamarche, E., Allard, J., Zindy, E., Decaestecker, C., Salmon, I., Perol, D., Dolcet, X., Ray-Coquard, I., Blanpain, C., Bernet, A., & Mehlen, P. (2023). Netrin-1 blockade inhibits tumour growth and EMT features in endometrial cancer. Nature (London). doi:10.1038/s41586-023-06367-z
  10. 7. Racu, M.-L., Bernardi, D., Chaouche, A., Zindy, E., Navez, J., Loi, P., Maris, C., Closset, J., Van Laethem, J.-L., Decaestecker, C., Salmon, I., & D'Haene, N. (2023). SMAD4 Positive Pancreatic Ductal Adenocarcinomas Are Associated with Better Outcomes in Patients Receiving FOLFIRINOX-Based Neoadjuvant Therapy. Cancers (Basel), 15(15). doi:10.3390/cancers15153765
  11. 8. Lebrun, L., Absil, L., Remmelink, M., De Mendonça, R., D'Haene, N., Gaspard, N., Rusu, S., Racu, M.-L., Collin, A., Allard, J., Zindy, E., Schiavo, A. A., De Clercq, S., De Witte, O., Decaestecker, C., Lopes, M. B., & Salmon, I. (2023). SARS-Cov-2 infection and neuropathological findings: a report of 18 cases and review of the literature. Acta neuropathologica communications, 11(78). doi:10.1186/s40478-023-01566-1
  12. 9. Foucart, A., Debeir, O., & Decaestecker, C. (2023). Panoptic quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology. Scientific reports, 13(1), 8614. doi:10.1038/s41598-023-35605-7
  13. 10. Foucart, A., Debeir, O., & Decaestecker, C. (2023). Evaluating participating methods in image analysis challenges: lessons from MoNuSAC 2020. Pattern recognition., 109600. doi:10.1016/j.patcog.2023.109600

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