Documents dont l'auteur est "Tang, An"

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Nombre de documents: 33

Elforaici, M. E. A., Montagnon, E., Romero, F. P., Le, W. T., Azzi, F., Trudel, D., Nguyen, B., Turcotte, S., Tang, A., & Kadoury, S. (2025). Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction. Medical Image Analysis, 99, 103346 (16 pages). Lien externe

Elforaici, M. E. A., Azzi, F., Trudel, D., Nguyen, B., Montagnon, E., Tang, A., Turcotte, S., & Kadoury, S. (mai 2024). Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images [Communication écrite]. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). Lien externe

Li, N., Fei, P., Tous, C., Rezaei Adariani, M., Hautot, M.-L., Ouedraogo, I., Hadjadj, A., Dimov, I. P., Zhang, Q., Lessard, S., Nosrati, Z., Ng, C. N., Saatchi, K., Hafeli, U. O., Tremblay, C., Kadoury, S., Tang, A., Martel, S., & Soulez, G. (2024). Human-scale navigation of magnetic microrobots in hepatic arteries. Science Robotics, 9(87), 8702. Lien externe

Montagnon, E., Cerny, M., Hamilton, V., Derennes, T., Ilinca, A., Elforaici, M. E. A., Jabbour, G., Rafie, E., Wu, A., Perdigon Romero, F., Cadrin-Chênevert, A., Kadoury, S., Turcotte, S., & Tang, A. (2024). Radiomics analysis of baseline computed tomography to predict oncological outcomes in patients treated for resectable colorectal cancer liver metastasis. PLOS ONE, 19(9), 0307815 (17 pages). Lien externe

Theriault-Lauzier, P., Cobin, D., Tastet, O., Langlais, E. L., Taji, B., Kang, G., Chong, A.-Y., So, D., Tang, A., Gichoya, J. W., Chandar, S., Déziel, P.-L., Hussin, J. G., Kadoury, S., & Avram, R. (2024). A responsible framework for applying artificial intelligence on medical images and signals at the point-of-care: the PACS-AI platform. Canadian Journal of Cardiology, 025 (39 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

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

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

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

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

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

Mansour, R., Romaguera, L. V., Huet, C., Bentridi, A., Vu, K.-N., Billiard, J.-S., Gilbert, G., Tang, A., & Kadoury, S. (2022). Abdominal motion tracking with free-breathing XD-GRASP acquisitions using spatio-temporal geodesic trajectories. Medical and Biological Engineering and Computing, 60(2), 583-598. Lien externe

Mansour, R., Romaguera, L. V., Huet, C., Bentridi, A., Vu, K.N., Billiard, J. S., Gilbert, G., Tang, A., & Kadoury, S. (2022). Correction to: Abdominal motion tracking with freebreathing XDGRASP acquisitions using spatiotemporal geodesic trajectories. Medical and Biological Engineering and Computing, 60(4), 1223-1223. Lien externe

Saber, R., Henault, D., Vorontsov, E., Montagnon, E., Tang, A., Turcotte, S., & Kadoury, S. (février 2022). Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker [Communication écrite]. Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA (7 pages). Lien externe

Li, N., Tous, C., Dimov, I. P., Cadoret, D., Fei, P., Majedi, Y., Lessard, S., Nosrati, Z., Saatchi, K., Hafeli, U., Tang, A., Kadoury, S., Martel, S., & Soulez, G. (2022). Quantification and 3D localization of magnetically navigated superparamagnetic particles using MRI in phantom and swine chemoembolization models. IEEE Transactions on Biomedical Engineering, 69(8), 2616-2627. Lien externe

Amine Elforaici, M. E., Montagnon, E., Azzi, F., Trudel, D., Nguyen, B., Turcotte, S., Tang, A., & Kadoury, S. (mars 2022). Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases [Communication écrite]. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India (5 pages). Lien externe

Cheng, P. M., Montagnon, E., Yamashita, R., Pan, I., Cadrin-Chênevert, A., Romero, F. P., Chartrand, G., Kadoury, S., & Tang, A. (2021). Deep Learning: An Update for Radiologists. RadioGraphics, 41(5), 1427-1445. Lien externe

Tous, C., Li, N., Dimov, I. P., Kadoury, S., Tang, A., Hafeli, U. O., Nosrati, Z., Saatchi, K., Moran, G., Couch, M. J., Martel, S., Lessard, S., & Soulez, G. (2021). Navigation of Microrobots by MRI: Impact of Gravitational, Friction and Thrust Forces on Steering Success. Annals of Biomedical Engineering, 49(12), 3724-3736. Lien externe

Svecic, A., Mansour, R., Tang, A., & Kadoury, S. (2021). Prediction of post transarterial chemoembolization MR images of hepatocellular carcinoma using spatio-temporal graph convolutional networks. PLOS ONE, 16(12), 22 pages. Lien externe

Montagnon, E., Cerny, M., Cadrin-Chênevert, A., Hamilton, V., Derennes, T., Ilinca, A., Vandenbroucke-Menu, F., Turcotte, S., Kadoury, S., & Tang, A. (2020). Deep learning workflow in radiology: a primer. Insights into Imaging, 11(22), 15 pages. Lien externe

Mansour, R., Thibodeau Antonacci, A., Bilodeau, L., Vazquez Romaguera, L., Cerny, M., Huet, C., Gilbert, G., Tang, A., & Kadoury, S. (2020). Impact of temporal resolution and motion correction for dynamic contrast-enhanced MRI of the liver using an accelerated golden-angle radial sequence. Physics in Medicine and Biology, 65(8), 16 pages. Lien externe

Maaref, A., Romero, F. P., Montagnon, E., Cerny, M., Nguyen, B., Vandenbroucke, F., Soucy, G., Turcotte, S., Tang, A., & Kadoury, S. (2020). Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach. Journal of Digital Imaging, 33(4), 937-945. Lien externe

Vorontsov, E., Cerny, M., Régnier, P., Di Jorio, L., Pal, C. J., Lapointe, R., Vandenbroucke-Menu, F., Turcotte, S., Kadoury, S., & Tang, A. (2019). Deep learning for automated segmentation of liver lesions at cCT in patients with colorectal cancer liver metastases. Radiology: Artificial Intelligence, 1(2), 180014. Lien externe

Thibodeau-Antonacci, A., Petitclerc, L., Gilbert, G., Bilodeau, L., Olivie, D., Cerny, M., Castel, H., Turcotte, S., Huet, C., Perreault, P., Soulez, G., Chagnon, M., Kadoury, S., & Tang, A. (2019). Dynamic contrast-enhanced MRI to assess hepatocellular carcinoma response to Transarterial chemoembolization using LI-RADS criteria: A pilot study. Magnetic Resonance Imaging, 62, 78-86. Lien externe

Romero, F. P., Diler, A., Bisson-Gregoire, G., Turcotte, S., Lapointe, R., Vandenbroucke-Menu, F., Tang, A., & Kadoury, S. (avril 2019). End-to-end discriminative deep network for liver lesion classification [Communication écrite]. 16th IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy. Lien externe

Romero, F. P., Tang, A., & Kadoury, S. (avril 2019). Multi-level batch normalization in deep networks for invasive ductal carcinoma cell discrimination in histopathology images [Communication écrite]. 16th IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy. Lien externe

Michaud, F., Li, N., Plantefève, R., Nosrati, Z., Tremblay, C., Saatchi, K., Moran, G., Bigot, A., Häfeli, U. O., Kadoury, S., Tang, A., Perreault, P., Martel, S., & Soulez, G. (2019). Selective embolization with magnetized microbeads using magnetic resonance navigation in a controlled-flow liver model. Medical Physics, 46(2), 789-799. Lien externe

Drozdzal, M., Chartrand, G., Vorontsov, E., Shakeri, M., Di Jorio, L., Tang, A., Romero, A., Bengio, Y., Pal, C. J., & Kadoury, S. (2018). Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Analysis, 44, 1-13. Lien externe

Vorontsov, E., Tang, A., Pal, C. J., & Kadoury, S. (avril 2018). Liver lesion segmentation informed by joint liver segmentation [Communication écrite]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C.. Lien externe

Gotra, A., Sivakumaran, L., Chartrand, G., Vu, K.-N., Vandenbroucke-Menu, F., Kauffmann, C., Kadoury, S., Gallix, B., de Guise, J. A., & Tang, A. (2017). Liver segmentation: indications, techniques and future directions. Insights into Imaging, 8(4), 377-392. Disponible

Chartrand, G., Cheng, P. M., Vorontsov, E., Drozdzal, M., Turcotte, S., Pal, C. J., Kadoury, S., & Tang, A. (2017). Deep Learning: A Primer for Radiologists. RadioGraphics, 37(7), 2113-2131. Lien externe

Gerard, M., Michaud, F., Bigot, A., Tang, A., Soulez, G., & Kadoury, S. (2017). Geometric modeling of hepatic arteries in 3D ultrasound with unsupervised MRA fusion during liver interventions. International Journal of Computer Assisted Radiology and Surgery, 12(6), 961-972. Lien externe

Webster, R. J., Yaniv, Z. R., Gerard, M., Tang, A., Badoual, A., Michaud, F., Bigot, A., Soulez, G., & Kadoury, S. (février 2016). Visualization of hepatic arteries with 3D ultrasound during intra-arterial therapies [Communication écrite]. Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California. Lien externe

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