Documents publiés en "2023"

Article de revue

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., ... Menze, B. (2023). The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Analysis, 84, 102680 (24 pages). Lien externe

Li, N., Tous, C., Dimov, I. P., Fei, P., Zhang, Q., Lessard, S., Moran, G., Jin, N., Kadoury, S., Tang, A., Martel, S., & Soulez, G. (2023). Design of a Patient-Specific Respiratory-Motion-Simulating Platform for In Vitro 4D Flow MRI. Annals of Biomedical Engineering, 51(5), 1028-1039. Lien externe

Li, N., Tous, C., Dimov, I. P., Fei, P., Zhang, Q., Lessard, S., Tang, A., Martel, S., & Soulez, G. (2023). Design of a Low-cost, Self-adaptive and MRI-compatible Cardiac Gating System. IEEE Transactions on Biomedical Engineering, 70(11), 3126-3136. Lien externe

Saber, R., Henault, D., Messaoudi, N., Rebolledo, R., Montagnon, E., Soucy, G., Stagg, J., Tang, A., Turcotte, S., & Kadoury, S. (2023). Radiomics using computed tomography to predict CD73 expression and prognosis of colorectal cancer liver metastases. Journal of Translational Medicine, 21(1), 16 pages. Disponible

Vianna, P., Calce, S.-I., Boustros, P., Larocque-Rigney, C., Patry-Beaudoin, L., Luo, Y. H., Aslan, E., Marinos, J., Alamri, T. M., Vu, K.-N., Murphy-Lavallée, J., Billiard, J.-S., Montagnon, E., Li, H., Kadoury, S., Nguyen, B. N., Gauthier, S., Therien, B., Rish, I., ... Tang, A. (2023). Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis. Radiology, 309(1), e230659 (10 pages). Lien externe

Communication écrite

Vianna, P., Kulbay, M., Boustros, P., Calce, S.-I., Larocque-Rigney, C., Patry-Beaudoin, L., Luo, Y. H., Chaudary, M., Kadoury, S., Nguyen, B., Montagnon, E., Belilovsky, E., Wolf, G., Chasse, M., Tang, A., & Cloutier, G. (septembre 2023). Automated liver segmentation and steatosis grading using deep learning on B-mode ultrasound images [Communication écrite]. IEEE International Ultrasonics Symposium (IUS 2023), Montreal, Qc, Canada (4 pages). Lien externe