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Abboud, Z., & Kadoury, S. Impact of train- and test-time Hounsfield unit window variation on CT segmentation of liver lesions [Communication écrite]. Medical Imaging 2023: Image Processing, San Diego, CA, USA (10 pages). Lien externe
Alefsen, M., Vorontsov, E., & Kadoury, S. (octobre 2023). M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision [Communication écrite]. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada. Lien externe
Alley, S., Jackson, E., Olivié, D., van der Heide, U. A., Ménard, C., & Kadoury, S. (2022). Effect of magnetic resonance imaging pre-processing on the performance of model-based prostate tumor probability mapping. Physics in Medicine & Biology, 67(24), 3796-3808. 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
Alley, S., Fedorov, A., Menard, C., & Kadoury, S. (février 2020). Evaluation of intensity-based deformable registration of multi-parametric MRI for radiomics analysis of the prostate [Communication écrite]. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, Houston, Texas, USA (11 pages). Lien externe
Ahmadi, M., Gross, W. J., & Kadoury, S. (août 2016). A real-time remote video streaming platform for ultrasound imaging [Communication écrite]. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), Orlando, Florida. Lien externe
Abi-Jaoudeh, N., Li, M., Kapoor, A., Kadoury, S., Xu, S., Radaelli, A., Carelsen, B., & Wood, B. J. (septembre 2013). Cone-beam CT and CT thermometry [Communication écrite]. Cardiovascular and Interventional Radiology Society of Europe (CIRSE 2013), Barcelona, Spain. Non disponible
Abi-Jaoudeh, N., Kruecker, J., Kadoury, S., Kobeiter, H., Venkatesan, A. M., Levy, E., & Wood, B. J. (2012). Multimodality Image Fusion-Guided Procedures: Technique, Accuracy, and Applications. Cardiovascular and Interventional Radiology, 35(5), 986-998. Lien externe
Aubin, C.-É., Bellefleur, C., Joncas, J., De Lanauze, D., Kadoury, S., Blanke, K., Parent, S., & Labelle, H. (2011). Reliability and Accuracy Analysis of a New Semiautomatic Radiographic Measurement Software in Adult Scoliosis. Spine, 36(12), E780-E790. Lien externe
Bang, C., Bernard, G., Le, W. T., Lalonde, A., Kadoury, S., & Bahig, H. (2023). Artificial intelligence to predict outcomes of head and neck radiotherapy. Clinical and Translational Radiation Oncology, 39, 100590 (9 pages). Lien externe
Bang, C. I.I.I., Le, W., Nguyen-Tan, P. F., Soulières, D., O'Sullivan, B., Christopoulos, A., Bissada, E., Ayad, T., Guertin, L., Lalonde, A., Markel, D., Kadoury, S., & Bahig, H. (octobre 2023). Dynamic Prediction of Toxicities in Head and Neck Cancer Radiotherapy by 3D Convolutional Neural Network Using Daily Cone-Beam CTs [Résumé]. 65th Annual Meeting of the American Society for Radiation Oncology (ASTRO 2023), San Diego, CA, USA (1 page). Publié dans International Journal of Radiation Oncology Biology Physics, 117(2). Lien externe
Bang, C., Le, W. T., Nguyen-Tan, P. F., Filion, É., Soulières, D., O'Sullivan, B., Christpoulos, A., Bissada, É., Ayad, T., Guertin, L., Lalonde, A., Markel, D., Kadoury, S., & Bahig, H. (septembre 2023). Dynamic prediction of toxicities in head and neck cancer radiotherapy by 3D convolutional neural network using daily cone-beam CTS [Résumé]. CARO-COMP Joint Scientific Meeting (CARO-COMP 2023), Montréal, Québec, Canada (1 page). Publié dans Radiotherapy and Oncology, 186(Suppl.1). 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
Boyer, L., Shen, J., Parent, S., Kadoury, S., & Aubin, C.-É. (2018). Accuracy and precision of seven radiography-based measurement methods of vertebral axial rotation in adolescent idiopathic scoliosis. Spine Deformity, 6(4), 351-357. Lien externe
Boucher, M.-A., Watts, N., Gremillet, F., Legare, P., & Kadoury, S. (février 2018). Asymmetry quantification from reflectance images of orthotic patients using structural similarity metrics [Communication écrite]. Medical Imaging : Computer-Aided Diagnosis, Houston, TX, United states. Lien externe
Boucher, M.-A., Lippé, S., Dupont, C., Knoth, I. S., Lopez, G., Shams, R., El-Jalbout, R., Damphousse, A., & Kadoury, S. (2018). Computer-aided lateral ventricular and brain volume measurements in 3D ultrasound for assessing growth trajectories in newborns and neonates. Physics in Medicine and Biology, 63(22), 225012 (13 pages). Lien externe
Boucher, M.-A., Lippe, S., Damphousse, A., El-Jalbout, R., & Kadoury, S. (septembre 2018). Dilatation of lateral ventricles with brain volumes in infants with 3D transfontanelle US [Communication écrite]. 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain. Lien externe
Boudam, K., Pinter, C., Kadoury, S., Lasso, A., Fichtinger, G., & Ménard, C. (avril 2017). Validation of MRI to US Registration for Focal HDR Prostate Brachytherapy [Résumé]. American Brachytherapy Society Annual Meeting, 2017, Boston, Massachusetts, United States. Publié dans Brachytherapy, 16(3). Lien externe
Badoual, A., Gerard, M., De Leener, B., Abi-Jaoudeh, N., & Kadoury, S. (avril 2016). 3D vascular path planning of chemo-embolizations using segmented hepatic arteries from MR angiography [Communication écrite]. 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016), Prague, Czech Republic. Lien externe
Boyer, L., Shen, J., Parent, S., Kadoury, S., & Aubin, C.-É. (mai 2014). Variabilté de méthodes de mesures de la rotation axiale vertébrale pour l'évaluation des déformations scoliotiques [Communication écrite]. 34e Journée de la recherche du POES de la Division d'orthopédie de l'Université de Montréal, Montréal, Québec. Non disponible
Boyer, L., Shen, J., Kadoury, S., & Aubin, C.-É. (octobre 2013). Évaluation de méthodes de mesure de la rotation axiale de vertèbres scoliotiques [Communication écrite]. 43e Réunion annuelle de la Société de la scoliose du Québec, Montréal, Québec. Non disponible
Boussaid, H., Kadoury, S., Kokkinos, I., Lazennec, J.-Y., Zheng, G., & Paragios, N. (août 2011). 3D model-based reconstruction of the proximal femur from low-dose biplanar X-ray images [Communication écrite]. 22nd British Machine Vision Conference, Dundee, UK. Lien externe
Cros, S., Bouttier, H., Nguyen-Tan, P. F., Vorontsov, E., & Kadoury, S. (2022). Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers. Journal of Applied Clinical Medical Physics, 23(8), e13655 (15 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
Cros, S., Vorontsov, E., & Kadoury, S. (avril 2021). Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients [Communication écrite]. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France. Lien externe
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
Cheriet, F., Laporte, C., Kadoury, S., Labelle, H., & Dansereau, J. (2007). A Novel System for the 3-D Reconstruction of the Human Spine and Rib Cage From Biplanar X-Ray Images. IEEE Transactions on Biomedical Engineering, 54(7), 1356-1358. Lien externe
Dallaire, F., Picot, F., Tremblay, J.-P., Sheehy, G., Lemoine, É., Agarwal, R., Kadoury, S., Trudel, D., Lesage, F., Petrecca, K., & Leblond, F. (2020). Quantitative spectral quality assessment technique validated using intraoperative in vivo Raman spectroscopy measurements. Journal of Biomedical Optics, 25(4). Disponible
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
Drozdzal, M., Vorontsov, E., Chartrand, G., Kadoury, S., & Pal, C. J. (octobre 2016). The Importance of Skip Connections in Biomedical Image Segmentation [Communication écrite]. 2nd International Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), held in conjunction with MICCAI 2016, Athens, Greece. Lien externe
De Leener, B., Cohen-Adad, J., & Kadoury, S. (2015). Automatic Segmentation of the spinal cord and spinal canal coupled with vertebral labeling. IEEE Transactions on Medical Imaging, 34(8), 1705-1718. Lien externe
De Leener, B., Cohen-Adad, J., & Kadoury, S. (février 2014). Automatic 3D segmentation of spinal cord MRI using propagated deformable models [Communication écrite]. Medical Imaging 2014: Image Processing, San Diego, California, USA. Lien externe
De Leener, B., Ullmann, E., Kadoury, S., & Cohen-Adad, J. (juin 2014). PropSeg : automatic spinal cord segmentation method for MR images using propagated deformation models [Communication écrite]. 20th Annual Meeting of OHBM, Hamburg, Germany. Non disponible
De Leener, B., Kadoury, S., & Cohen-Adad, J. (2014). Robust, accurate and fast automatic segmentation of the spinal cord. NeuroImage, 98, 528-536. Lien externe
Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (2023). Optical frequency domain reflectometry shape sensing using an extruded optical fiber triplet for intra-arterial guidance. Optics Express, 31(1), 396-410. Lien externe
Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (juillet 2022). Real-time 3D shape sensing with a random Fiber Bragg grating triplet [Communication écrite]. Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Vancouver, British Columbia. Lien externe
Gazda, M., Drotar, P., Romaguera, L. V., & Kadoury, S. (avril 2023). End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). Lien externe
Grajales, D., Le, W., Dallaire, F., Sheehy, G., David, S., Tran, T., Leblond, F., Menard, C., & Kadoury, S. (octobre 2023). Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification [Communication écrite]. 2nd International Workshop on Cancer Prevention Through Early Detection (CaPTion 2023), Vancouver, BC, Canada. Lien externe
Grajales, D., Kadoury, S., Shams, R., Barkati, M., Delouya, G., Béliveau-Nadeau, D., Nicolas, B., Le, W. T., Benhacene-Boudam, M.-K., Juneau, D., DaSilva, J. N., Carrier, J.-F., Hautvast, G., & Ménard, C. (2022). Performance of an integrated multimodality image guidance and dose-planning system supporting tumor-targeted HDR brachytherapy for prostate cancer. Radiotherapy and Oncology, 166, 154-161. Lien externe
Grajales, D., Picot, F., Shams, R., Barkati, M., Delouya, G., Béliveau-Nadeau, D., Nicolas, B., Leblond, F., Menard, C., & Kadoury, S. (octobre 2021). In Vivo Confirmation of Prostate Tumor Burden During HDR Brachytherapy With a Combined Raman Spectroscopy and MRI Radiomics Approach [Résumé]. ASTRO 63rd Annual Meeting, Chicago, Illinois. Publié dans International Journal of Radiation Oncology Biology Physics, 111(3 (suppl.)). Lien externe
Grosset, A.-A., Dallaire, F., Nguyen, T., Birlea, M., Wong, J., Daoust, F., Roy, N., Kougioumoutzakis, A., Azzi, F., Aubertin, K., Kadoury, S., Latour, M., Albadine, R., Prendeville, S., Boutros, P., Fraser, M., Bristow, R. G., van der Kwast, T., Orain, M., ... Trudel, D. (2020). Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation. Plos Medicine, 17(8), e1003281 (20 pages). 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
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
Kadoury, S., Lopera, D., Shams, R., Beliveau-Nadeau, D., Delouya, G., Boudam, K., Carrier, J.-F., & Menard, C. (mai 2021). Registration accuracy of an integrated MR-TRUS navigation system for prostate HDR brachytherapy [Affiche]. World Congress of Brachytherapy. Publié dans Radiotherapy and Oncology, 158. Lien externe
Kashyap, R., Loranger, S., Monet, F., Kadoury, S., & Lorre, P. (2020). Method and system for fabricating an optical fiber device for shape sensing. (Demande de brevet no US20200132926). Lien externe
Kadoury, S., Knez, D., & Aubin, C.-É. (2019). Biomechanically driven intraoperative spine registration during navigated anterior vertebral body tethering. Physics in Medicine & Biology, 64(11), 115008 (28 pages). Lien externe
Knez, D., Nahle, I. S., Vrtovec, T., Parent, S., & Kadoury, S. (2019). Computer-assisted pedicle screw trajectory planning using CT-inferred bone density: A demonstration against surgical outcomes. Medical Physics, 46(8), 3543-3554. Lien externe
Knez, D., Nahle, I. S., Vrtovec, T., Parent, S., & Kadoury, S. (avril 2018). Computer-assisted pedicle screw placement planning: Towards clinical practice [Communication écrite]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC. Lien externe
Kadoury, S. (2018). Manifold learning in medical imaging. Dans Bracken, P. (édit.), Manifolds II - Theory and Applications (19 pages). Lien externe
Kadoury, S., Mandel, W., Roy-Beaudry, M., Nault, M.-L., & Parent, S. (2017). 3D morphology prediction of progressive spinal deformities from probabilistic modeling of discriminant manifolds. IEEE Transactions on Medical Imaging, 36(5), 1194-1204. Lien externe
Kadoury, S., Labelle, H., & Parent, S. (2016). Postoperative 3D spine reconstruction by navigating partitioning manifolds. Medical Physics, 43(3), 1045-1056. Lien externe
Korez, R., Aubert, B., Cresson, T., Parent, S., Vrtovec, T., de Guise, J., & Kadoury, S. (avril 2016). Sparse and multi-object pose+shape modeling of the three-dimensional scoliotic spine [Communication écrite]. 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016), Prague, Czech Republic. Lien externe
Kadoury, S., Vorontsov, E., & An, T. (2015). Metastatic liver tumour segmentation from discriminant Grassmannian manifolds. Physics in Medicine and Biology, 60(16), 6459-6478. Lien externe
Kadoury, S. (2014). Three-Dimensional Spine Reconstruction from Radiographs. Dans Li, S., & Yao, J. (édit.), Spinal Imaging and Image Analysis (159-191). Lien externe
Kadoury, S., Labelle, H., & Parent, S. (septembre 2014). 3D Spine Reconstruction of Postoperative Patients from Multi-level Manifold Ensembles [Communication écrite]. 17th Internationa Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014), Boston, MA, USA. Lien externe
Klinder, T., Kadoury, S., & Lorenz, C. (2014). Computational Modeling of the Spine. Dans Shape Analysis in Medical Image Analysis (Vol. 14, 339-371). Lien externe
Kadoury, S., Shen, J., & Parent, S. (2014). Global geometric torsion estimation in adolescent idiopathic scoliosis. Medical & Biological Engineering & Computing, 52(4), 309-319. Lien externe
Kadoury, S., Abi-Jaoudeh, N., & Valdes, P. A. (septembre 2013). Higher-order CRF tumor segmentation with discriminant manifold potentials [Communication écrite]. 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), Nagoya, Japan. Lien externe
Kadoury, S., Labelle, H., & Paragios, N. (2013). Spine segmentation in medical images using manifold embeddings and higher-order MRFs. IEEE Transactions on Medical Imaging, 32(7), 1227-38. Lien externe
Kadoury, S., Erus, G., Zacharaki, E. I., Paragios, N., & Davatzikos, C. (mai 2012). Manifold-constrained embeddings for the detection of white matter lesions in brain MRI [Communication écrite]. 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012), Barcelona, Spain. Lien externe
Kadoury, S., Erus, G., & Davatzikos, C. (octobre 2012). Nonlinear discriminant graph embeddings for detecting white matter lesions in FLAIR MRI [Communication écrite]. 3rd International Workshop on Machine Learning in Medical Imaging (MLMI 2012), Nice, France. Lien externe
Kadoury, S., Wood, B. J., Venkatesan, A., Dalal, S., Xu, S., & Kruecker, J. (février 2011). Accuracy assessment of an automatic image-based PET/CT registration for ultrasound-guided bipsies and ablations [Communication écrite]. SPIE Medical Imaging, Orlando, Floride. Lien externe
Kadoury, S., Labelle, H., & Paragios, N. (2011). Automatic inference of articulated spine models in CT images using high-order MRFs. Medical Image Analysis, 15(4), 426-437. Lien externe
Kadoury, S., & Labelle, H. (2011). Classification of three-dimensional thoracic deformities in adolescent idiopathic scoliosis from a multivariate analysis. European Spine Journal, 21(1), 40-49. Lien externe
Kruecker, J., Kadoury, S., Yan, P., Turkbey, B., Pinto, P., & Wood, B. J. (juin 2011). Prostate biopsy with image fusion : System validation and clinical results [Communication écrite]. International Conference on Computer Assisted Radiology & Surgery, Berlin, Germany. Non disponible
Kadoury, S., & Paragios, N. (avril 2010). Multimodal inference of articulated spine models from higher order energy functions of discrete MRFS [Communication écrite]. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2010), Rotterdam, Netherlands. Lien externe
Kadoury, S., Cheriet, F., & Labelle, H. (2010). Self-Calibration of Biplanar Radiographic Images Through Geometric Spine Shape Descriptors. IEEE Transactions on Biomedical Engineering, 57(7), 1663-1675. Lien externe
Kadoury, S., Cheriet, F., & Labelle, H. (2009). Personalized X-ray 3-D reconstruction of the scoliotic spine from hybrid statistical and image-based models. IEEE Transactions on Medical Imaging, 28(9), 1422-1435. Lien externe
Kadoury, S., Cheriet, F., & Labelle, H. (juin 2009). Segmentation of scoliotic spine silhouettes from enhanced biplanar X-rays using a prior knowledge Bayesian framework [Communication écrite]. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2009). Lien externe
Kadoury, S., Cheriet, F., Beauséjour, M., Stokes, I. A., Parent, S., & Labelle, H. (2009). A Three-Dimensional Retrospective Analysis of the Evolution of Spinal Instrumentation for the Correction of Adolescent Idiopathic Scoliosis. European Spine Journal, 18(1), 23-37. Lien externe
Kadoury, S., Cheriet, F., & Labelle, H. (juillet 2008). Prediction of the T2-T12 kyphosis in adolescent idiopathic scoliosis using a multivariate regression model [Communication écrite]. 7th Biennial Meeting of the International Research Society of Spinal Deformities (IRSSD 2008), Liverpool, United kingdom. Lien externe
Kadoury, S. (2008). Reconstruction 3D personnalisée de la colonne vertébrale à partir d'images radiographiques non-calibrées [Thèse de doctorat, École Polytechnique de Montréal]. Disponible
Kadoury, S., Cheriet, F., & Labelle, H. (juin 2008). Self-calibration of biplanar radiographic system for the clinical 3D assessment of spinal deformities [Communication écrite]. International Conference on Computer Assisted Radiology & Surgery, Barcelona, Spain. Non disponible
Kadoury, S., Cheriet, F., & Labelle, H. (mai 2008). A statistical image-based approach for the 3D reconstruction of the scoliotic spine from biplanar radiographs [Communication écrite]. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), Paris, France. Lien externe
Kadoury, S., Cheriet, F., Dansereau, J., & Labelle, H. (2007). Three-Dimensional Reconstruction of the Scoliotic Spine and Pelvis From Uncalibrated Biplanar X-Ray Images. Journal of Spinal Disorders & Techniques, 20(2), 160-167. Lien externe
Kadoury, S., Cheriet, F., Laporte, C., & Labelle, H. (2007). A Versatile 3D Reconstruction System of the Spine and Pelvis for Clinical Assessment of Spinal Deformities. Medical & Biological Engineering & Computing, 45(6), 591-602. Lien externe
Kadoury, S., & Cheriet, F. (juin 2006). X-ray image restoration with adaptive PDE filter for an accurate calibration of the acquisition system for the 3D reconstruction of the spine [Communication écrite]. International Conference on Computer Assisted Radiology & Surgery, Osaka, Japan. Non disponible
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
López-Arango, G., Deguire, F., Agbogba, K., Audet-Duchesne, É., Boucher, M.-A., Knoth, I. S., El-Jalbout, R., Damphousse, A., Kadoury, S., & Lippé, S. (2023). Impact of macrocephaly, as an isolated trait, on EEG signal as measured by spectral power and multiscale entropy during the first year of life. Developmental Neuroscience, 45(4), 210-222. 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
Le, W. T., Bang, C., Cordelle, P., Markel, D., Nguyen-Tan, P. F., Bahig, H., & Kadoury, S. (avril 2023). Prediction of Head and Neck Radiotherapy Toxicity Using a Deformable 3D CNN on Longitudinal Daily CBCT Acquisitions [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). Lien externe
Le, W. T., Vorontsov, E., Romero, F. P., Seddik, L., Elsharief, M. M., Nguyen-Tan, P. F., Roberge, D., Bahig, H., & Kadoury, S. (2022). Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks. Scientific Reports, 12(1), 17 pages. Lien externe
Lopera, D. O. G., Picot, F., Shams, R., Dallaire, F., Sheehy, G., Alley, S., Barkati, M., Delouya, G., Carrier, J.-F., Birlea, M., Trudel, D., Leblond, F., Menard, C., & Kadoury, S. (2022). Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 2: in-vivo tumor-targeting using a classification model combining spectral and MRI-radiomics features. Journal of Biomedical Optics, 27(9), 095004 (16 pages). Lien externe
Lopez-Arango, G., Deguire, F., Agbogba, K., Boucher, M.-A., Knoth, I. S., El-Jalbout, R., Côté, V., Damphousse, A., Kadoury, S., & Lippe, S. (2022). Impact of brain overgrowth on sensorial learning processing during the first year of life. Frontiers in Human Neuroscience, 16, 928543 (15 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
Li, H., Cloutier, G., Kadoury, S., & Soulez, G. (septembre 2020). A 3D motion tracking algorithm using ultrasound B-mode images: A feasibility study [Communication écrite]. IEEE International Ultrasonics Symposium (IUS 2020), Las Vegas, Nevada (4 pages). Lien externe
Le, W., Romero, F. P., & Kadoury, S. (octobre 2020). Convolutionally Normalized Survival Prediction of Head and Neck Cancer Using Planning CT [Résumé]. 62nd Annual Meeting of the American-Society-for-Radiation-Oncology (ASTRO 2020), Miami Beach (2 pages). Publié dans International Journal of Radiation Oncology Biology Physics, 108(3 (suppl.)). Lien externe
Lorre, P., Monet, F., Gauthier, M., Poiffaut, A., Roberge, A., Kadoury, S., & Kashyap, R. (février 2020). Extruded complex optical fiber structures for shape sensing and biomedical applications [Présentation]. Dans SPIE OPTO 2020, San Francisco, California. Lien externe
Le, W. T., Maleki, F., Romero, F. P., Forghani, R., & Kadoury, S. (2020). Overview of Machine Learning: Part 2 Deep Learning for Medical Image Analysis. Neuroimaging Clinics of North America, 30(4), 417-431. Lien externe
Lorre, P., Monet, F., Gauthier, M., Poiffaut, A., Roberge, A., Kadoury, S., & Kashyap, R. (octobre 2019). Extruded optical fiber triplets for 3D shape sensing for minimally invasive surgery [Communication écrite]. 7th European Workshop on Optical Fibre Sensors (EWOFS 2019), Limassol, Cyprus (4 pages). Lien externe
Lemoine, É., Dallaire, F., Yadav, R., Agarwal, R., Kadoury, S., Trudel, D., Guiot, M.-C., Petrecca, K., & Leblond, F. (2019). Feature engineering applied to intraoperative in vivo Raman spectroscopy sheds light on molecular processes in brain cancer: a retrospective study of 65 patients. Analyst, 144(22), 6517-6532. Lien externe
Li, N., Jiang, Y., Plantefève, R., Michaud, F., Nosrati, Z., Tremblay, C., Saatchi, K., Häfeli, U. O., Kadoury, S., Moran, G., Joly, F., Martel, S., & Soulez, G. (2019). Magnetic Resonance Navigation for Targeted Embolization in a Two-Level Bifurcation Phantom. Annals of Biomedical Engineering, 47(12), 2402-2415. Lien externe
Lessard, S., Plantefève, R., Michaud, F., Huet, C., Soulez, G., & Kadoury, S. (septembre 2018). Blood-flow estimation in the hepatic arteries based on 3D/2D angiography registration [Communication écrite]. 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT 2018) and the 3rd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, (LABELS, Granada, Spain. Lien externe
Li, M., Abi-Jaoudeh, N., Kapoor, A., Kadoury, S., Xu, S., Noordhoek, N., Radaelli, A., Carelsen, B., & Wood, B. J. (février 2013). Towards cone-beam CT thermometry [Communication écrite]. Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, Lake Buena Vista, FL, United states. Lien externe
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
Ménard, C., Navarro-Domenech, I., Liu, Z., Joseph, L., Barkati, M., Berlin, A., Delouya, G., Taussky, D., Beauchemin, M.-C., Nicolas, B., Kadoury, S., Rink, A., Raman, S., Sundaramurthy, A., Weersink, R., Béliveau-Nadeau, D., Helou, J., & Chun, P. (2022). Corrigendum: MRI-guided focal or integrated boost high dose rate brachytherapy for recurrent prostate cancer. Frontiers in Oncology, 12, 2 pages. Lien externe
Ménard, C., Navarro-Domenech, I., Liu, Z., Joseph, L., Barkati, M., Berlin, A., Delouya, G., Taussky, D., Beauchemin, M.-C., Nicolas, B., Kadoury, S., Rink, A., Raman, S., Sundaramurthy, A., Weersink, R., Béliveau-Nadeau, D., Helou, J., & Chun, P. (2022). MRI-guided focal or integrated boost high dose rate brachytherapy for recurrent prostate cancer. Frontiers in Oncology, 12, 971344 (9 pages). Lien externe
Mezheritsky, T., Romaguera, L. V., Le, W. L., & Kadoury, S. (2022). Population-based 3D respiratory motion modelling from convolutional autoencoders for 2D ultrasound-guided radiotherapy. Medical Image Analysis, 75, 102260 (14 pages). Lien externe
Mandel, W., Oulbacha, R., Roy-Beaudry, M., Parent, S., & Kadoury, S. (2021). Image-Guided Tethering Spine Surgery With Outcome Prediction Using Spatio-Temporal Dynamic Networks. IEEE Transactions on Medical Imaging, 40(2), 491-502. Lien externe
Mandel, W., Parent, S., & Kadoury, S. (2021). Intra-operative forecasting of growth modulation spine surgery outcomes with spatio-temporal dynamic networks. International Journal of Computer Assisted Radiology and Surgery, 16(10), 1641-1651. Lien externe
Mezheritsky, T., Vazquez Romaguera, L., & Kadoury, S. (avril 2020). 3D Ultrasound Generation from Partial 2D Observations Using Fully Convolutional and Spatial Transformation Networks [Communication écrite]. 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA. 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
Monet, F., Sefati, S., Lorre, P., Poiffaut, A., Kadoury, S., Armand, M., Iordachita, I., & Kashyap, R. (mai 2020). High-Resolution Optical Fiber Shape Sensing of Continuum Robots: A Comparative Study [Communication écrite]. IEEE International Conference on Robotics and Automation (ICRA 2020), Paris, France. 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
Mandel, W., Parent, S., & Kadoury, S. (octobre 2020). Intra-operative forecasting of growth modulation spine surgery outcomes with spatio-temporal dynamic networks [Communication écrite]. 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020), Lima, Peru. Lien externe
Maleki, F., Le, W. T., Sananmuang, T., Kadoury, S., & Forghani, R. (2020). Machine Learning Applications for Head and Neck Imaging. Neuroimaging Clinics of North America, 30(4), 517-529. Lien externe
Menard, C., Lopera, D., Shams, R., Barkati, M., Delouya, G., Béliveau-Nadeau, D., Nicolas, B., Benhacene-Boudam, M. K., Juneau, D., DaSilva, J., Carrier, J. F., & Kadoury, S. (octobre 2020). MRI/PET Directed and TRUS/EM Guided Prostate Tumor Targeted HDR Brachytherapy: Performance of a Prototype System [Résumé]. 62nd Annual Meeting of the American-Society-for-Radiation-Oncology (ASTRO 2020). Publié dans International Journal of Radiation Oncology Biology Physics, 108(3). 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
Monet, F., Loranger, S., Lambin-Iezzi, V. L., Kadoury, S., & Kashyap, R. (février 2019). Order of magnitude increase in resolution of optical frequency domain reflectometry based temperature and strain sensing by the inscription of a ROGUE [Présentation]. Dans SPIE Optical Components and Materials XVI (SPIE OPTO 2019), San Francisco, California, United States. Lien externe
Mandel, W., Turcot, O., Knez, D., Parent, S., & Kadoury, S. (2019). Prediction outcomes for anterior vertebral body growth modulation surgery from discriminant spatiotemporal manifolds. International Journal of Computer Assisted Radiology and Surgery, 14(9), 1565-1575. Lien externe
Monet, F., Loranger, S., Lambin-Iezzi, V., Drouin, A., Kadoury, S., & Kashyap, R. (2019). The Rogue: A novel, noise-generated random grating. Optics Express, 27(10), 13895-13909. 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
Michaud, F., Li, N., Plantefève, R., Bigot, A., Kadoury, S., Martel, S., & Soulez, G. (2018). In vitro feasibility study of magnetic resonance navigation in realistic physiological settings. Journal of Vascular and Interventional Radiology, 29(4, Supplem), S135-S135. Lien externe
Mandel, W., Turcot, O., Knez, D., Parent, S., & Kadoury, S. (septembre 2018). Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis [Communication écrite]. 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain. Lien externe
Mandal, K. K., Parent, F., Kashyap, R., Martel, S., & Kadoury, S. (2017). Assessment of the accuracy of optical shape sensing for needle tracking interventions. Journal of Medical Devices, 11(3), 7 pages. Lien externe
Ménard, C., Pambrun, J. F., & Kadoury, S. (2017). The utilization of magnetic resonance imaging in the operating room. Brachytherapy, 16(4), 754-760. Lien externe
Mandel, W., Korez, R., Nault, M. L., Parent, S., & Kadoury, S. (octobre 2016). Classification of Progressive and Non-progressive Scoliosis Patients Using Discriminant Manifolds [Communication écrite]. 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, Ahtens, Greece. Lien externe
Mandal, K., Parent, F., Martel, S., Kashyap, R., & Kadoury, S. (2016). Vessel-based registration of an optical shape sensing catheter for MR navigation. International Journal of Computer Assisted Radiology and Surgery, 11(6), 1025-1034. Lien externe
Mandal, K. K., Parent, F., Martel, S., Kashyap, R., & Kadoury, S. (février 2015). Calibration of a needle tracking device with fiber Bragg grating sensors [Communication écrite]. SPIE Medical Imaging, Orlando, Florida (8 pages). Lien externe
Navarro, I., Joseph, L., Liu, Z., Taussky, D., Delouya, G., Barkati, M., Beauchemin, M.-C., Niazi, T., Berlin, A., Helou, J., Raman, S., Beliveau-Nadeau, D., Kadoury, S., Rink, A., Chung, P., & Menard, C. (mai 2021). Outcomes in focal vs. dose-painted salvage HDR brachytherapy for locally recurrent prostate cancer [Résumé]. World Congress of Brachytherapy. Publié dans Radiotherapy and Oncology, 158. Lien externe
Nozadi, S. H., & Kadoury, S. (2018). Classification of Alzheimer's and MCI patients from semantically parcelled PET images: A comparison between AV45 and FDG-PET. International Journal of Biomedical Imaging, 2018, 1-13. Disponible
Nix, J., Hoang, A., Chung, P., Kruecker, J., Kadoury, S., Wood, B. J., & Pinto, P. (novembre 2011). Multiparametric magnetic resonance imaging detects prostate cancer in patients with prior negative TRUS biopsies [Communication écrite]. Annual Meeting of the Society of Urologic Oncology, Bethesda, MD, USA. Non disponible
Ouraou, E., Romaguera, L. V., Tonneau, M., Bahig, H., & Kadoury, S. (février 2023). Prediction of free-breathing 4DCT lung deformation using probabilistic motion auto-encoders [Communication écrite]. Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA (7 pages). Lien externe
Oulbacha, R., & Kadoury, S. (2020). MRI to C-arm spine registration through Pseudo-3D CycleGANs with differentiable histograms. Medical Physics, 47(12), 6319-6333. Lien externe
Oulbacha, R., & Kadoury, S. (avril 2020). MRI to CT Synthesis of the Lumbar Spine from a Pseudo-3D Cycle GAN [Communication écrite]. 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA. Lien externe
Picot, F., Shams, R., Dallaire, F., Sheehy, G., Trang, T., Grajales, D., Birlea, M., Trudel, D., Menard, C., Kadoury, S., & Leblond, F. (2022). Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 1: Raman spectroscopy fiber-optics system and in situ tissue characterization. Journal of Biomedical Optics, 27(9), 095003 (14 pages). Lien externe
Plante, A., Dallaire, F., Grosset, A.-A., Nguyen, T., Birlea, M., Wong, J., Daoust, F., Roy, N., Kougioumoutzakis, A., Azzi, F., Aubertin, K., Kadoury, S., Latour, M., Albadine, R., Prendeville, S., Boutros, P., Fraser, M., Bristow, R. G., Van Der Kwast, T., ... Leblond, F. (2021). Dimensional reduction based on peak fitting of Raman micro spectroscopy data improves detection of prostate cancer in tissue specimens. Journal of Biomedical Optics, 26(11), 14 pages. Lien externe
Pasha, S., Shen, J., & Kadoury, S. (2021). True 3D parameters of the spinal deformity in adolescent idiopathic scoliosis. Spine Deformity, 9(3), 703-710. Lien externe
Picot, F., Daoust, F., Sheehy, G., Dallaire, F., Chaikho, L., Bégin, T., Kadoury, S., & Leblond, F. (2020). Data consistency and classification model transferability across biomedical Raman spectroscopy systems. Translational Biophotonics, 3(1), 1-11. Disponible
Picot, F., Sheehy, G., Dallaire, F., Tremblay, J.-P., Daoust, F., Lemoine, É., Chaikho, L., Bégin, T., Petrecca, K., Kadoury, S., Leblond, F., Elson, D. S., Gioux, S., & Pogue, B. W. (avril 2020). Data compatibility across point probe Raman spectroscopy systems and its impact on statistical models portability (Conference Presentation) [Présentation]. Dans Clinical Biophotonics 2020. Lien externe
Parent, F., Gérard, M., Monet, F., Loranger, S., Soulez, G., Kashyap, R., & Kadoury, S. (2019). Intra-arterial Image Guidance with Optical Frequency Domain Reflectometry Shape Sensing. IEEE Transactions on Medical Imaging, 38(2), 482-492. Lien externe
Petkovi, U., Korez, R., Parent, S., Kadoury, S., & Vrtovec, T. (septembre 2017). 3D Cobb angle measurements from scoliotic mesh models with varying face-vertex density [Communication écrite]. 5th Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging (MSKI 2017), Québec City, QC. Lien externe
Petković, U., Korez, R., Parent, S., Kadoury, S., & Vrtovec, T. (2018). Polavtomatsko merjenje 3D Cobbovega kota na trikotniški mreži modela hrbtenice. [Semi-automated 3D cobb angle measurements from scoliotic mesh models]. Electrotechnical Review, 85(1-2), 6 pages. Lien externe
Poulin, E., Boudam, K., Pinter, C., Kadoury, S., Lasso, A., Fichtinger, G., & Ménard, C. (2018). Validation of MRI to TRUS registration for high-dose-rate prostate brachytherapy. Brachytherapy, 17(2), 283-290. Lien externe
Parent, F., Loranger, S., Mandal, K. K., Iezzi, V. L., Lapointe, J., Boisvert, J.-S., Baiad, M. D., Kadoury, S., & Kashyap, R. (2017). Enhancement of accuracy in shape sensing of surgical needles using optical frequency domain reflectometry in optical fibers. Biomedical Optics Express, 8(4), 2210-2221. Lien externe
Plantefève, R., Kadoury, S., Tang, A., & Peterlik, I. (septembre 2017). Robust Automatic Graph-Based Skeletonization of Hepatic Vascular Trees [Communication écrite]. 6th Joint International Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT 2017) and 2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2017, Québec City, QC, Canada. Lien externe
Parent, F., Gerard, M., Kashyap, R., & Kadoury, S. (septembre 2017). UV exposed optical fibers with frequency domain reflectometry for device tracking in intra-arterial procedures [Communication écrite]. 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017), Québec City, QC, Canada. Lien externe
Parent, F., Kanti Mandal, K., Loranger, S., Watanabe Fernandes, E. H., Kashyap, R., & Kadoury, S. (février 2016). 3D shape tracking of minimally invasive medical instruments using optical frequency domain reflectometry [Communication écrite]. Medical Imaging 2016, San Diego, California. Lien externe
Parent, F., Loranger, S., Kadoury, S., & Kashyap, R. (juillet 2016). Massive enhancement of scatter in UV exposed optical Fibers [Communication écrite]. Specialty Optical Fibers (SOF 2016), Vancouver, Canada. Lien externe
Pinto, P. A., Chung, P. H., Rastinehad, A. R., Baccala, A. A., Kruecker, J., Benjamin, C. J., Xu, S., Yan, P., Kadoury, S., Chua, C., Locklin, J. K., Turkbey, B., Shih, J. H., Gates, S. P., Buckner, C., Bratslavsky, G., Linehan, W. M., Glossop, N. D., Choyke, P. L., & Wood, B. J. (2011). MRI/Ultrasound fusion guided prostate biopsy improves cancer detection following TRUS biopsy and correlates with multiparametric MRI. Journal of Urology, 186(4), 1281-1285. Lien externe
Romaguera, L. V., Alley, S., Carrier, J.-F., & Kadoury, S. (2023). Conditional-based Transformer network with learnable queries for 4D deformation forecasting and tracking. IEEE Transactions on Medical Imaging, 42(6), 1603-1618. Lien externe
Romaguera, L. V., Mezheritsky, T., Mansour, R., Tanguay, W., & Kadoury, S. (2021). Predictive online 3D target tracking with population-based generative networks for image-guided radiotherapy. International Journal of Computer Assisted Radiology and Surgery, 16(7), 1213-1225. Lien externe
Romaguera, L. V., Mezheritsky, T., Mansour, R., Carrier, J.-F., & Kadoury, S. (2021). Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy. Medical Image Analysis, 74, 102250 (17 pages). Lien externe
Romaguera, L. V., Plantefève, R., Romero, F. P., Hébert, F., Carrier, J.-F., & Kadoury, S. (2020). Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks. Medical Image Analysis, 64, 14 pages. 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
Romaguera, L. V., Plantefève, R., & Kadoury, S. (février 2019). Quantitative analysis of 4D MR volume reconstruction methods from dynamic slice acquisitions [Communication écrite]. SPIE Medical Imaging 2019 : Image-Guided Procedures, Robotic Interventions, and Modeling (MI2019), San Diego, California, United States (6 pages). Lien externe
Raswtinehad, A., Baccala, A., Chung, P., Proano, J., Kruecker, J., Xu, S., Locklin, J., Turkbey, B., Shih, J., Bratsalvsky, G., Marston Linehan, W., Glossop, N., Yan, P., Kadoury, S., Choyke, P., Wood, B., & Pinto, P. A. (2011). D'Amico risk stratification correlates with degree of suspicion of prostate cancer on multi-parametric magnetic resonance imaging (MRI). Journal of Urology, 185(3), 815-820. Lien externe
Saber, R., Henault, D., Rebolledo, R., Turcotte, S., & Kadoury, S. (avril 2023). Ensemble Tabnet Predicting a T-Cell/MHC-I-Based Immune Profile Biomarker for Colorectal Liver Metastases from CT Images [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 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
Saber, R., Routy, B., Turcotte, S., & Kadoury, S. (octobre 2023). RNA sequencing-based histological subtyping of non-small cell lung cancer with generative adversarial data imputation [Communication écrite]. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2023), Pittsburgh, PA, USA (4 pages). Lien externe
Svecic, A., Francoeur, J., Soulez, G., Monet, F., Kashyap, R., & Kadoury, S. (2023). Shape and Flow Sensing in Arterial Image Guidance From UV Exposed Optical Fibers Based on Spatio-Temporal Networks. IEEE Transactions on Biomedical Engineering, 70(5), 1692-703. 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
Shakeri, S., Le, W., Ménard, C., & Kadoury, S. (avril 2021). Deformable Mri To Transrectal Ultrasound Registration For Prostate Interventions With Shape-Based Deep Variational Auto-Encoders [Communication écrite]. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France. Lien externe
Shams, R., Le, W., Weihs, A., & Kadoury, S. (avril 2021). Intensity-Based Wasserstein Distance as a Loss Measure for Unsupervised Deformable Deep Registration [Communication écrite]. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France. Lien externe
Svecic, A., Soulez, G., Monet, F., Kashyap, R., & Kadoury, S. (septembre 2021). Multimodal Sensing Guidewire for C-Arm Navigation with Random UV Enhanced Optical Sensors Using Spatio-Temporal Networks [Communication écrite]. 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2021), Strasbourg, France. 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
Shen, J., Parent, S., Wu, J. S., Aubin, C.-É., Mac-Thiong, J.-M., Kadoury, S., Newton, P. O., Lenke, L. G., Lafage, V., Barchi, S., & Labelle, H. (2020). Towards a new 3D classification for adolescent idiopathic scoliosis. Spine deformity, 8(3), 387-396. Lien externe
Shams, R., Picot, F., Grajales, D., Sheehy, G., Dallaire, F., Birlea, M., Saad, F., Trudel, D., Menard, C., Leblond, F., & Kadoury, S. (2020). Pre-clinical evaluation of an image-guided in-situ Raman spectroscopy navigation system for targeted prostate cancer interventions. International Journal of Computer Assisted Radiology and Surgery, 15(5), 867-876. Lien externe
Svecic, A., Roberge, D., & Kadoury, S. (2020). Prediction of inter-fractional radiotherapy dose plans with domain translation in spatiotemporal embeddings. Medical Image Analysis, 64, 13 pages. Lien externe
Shakeri, S., Menard, C., Lopes, R., & Kadoury, S. (février 2019). Deformable MRI-TRUS surface registration from statistical deformation models of the prostate [Communication écrite]. SPIE Medical Imaging 2019 : Image-Guided Procedures, Robotic Interventions, and Modeling (MI2019), San Diego, California, United States (7 pages). Lien externe
Shakeri, M., Nahle, I., Finley, E., & Kadoury, S. (avril 2018). Inter-vertebral disk modelling from pairs of segmented vertebral models using trainable pre-processing networks [Communication écrite]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C.. Lien externe
Shams, R., Boucher, M.-A., & Kadoury, S. (septembre 2018). Intra-operative brain shift correction with weighted locally linear correlations of 3DUS and MRI [Communication écrite]. International Workshop on Point-of-Care Ultrasound (POCUS 2018), the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations (BIVPCS 2017), the International Workshop on Correction of Brainshift with Intra-Operative Ultr, Granada, Spain. Lien externe
Shen, J., Kadoury, S., Labelle, H., Roy-Beaudry, M., Aubin, C.-É., & Parent, S. (2017). Geometric Torsion in Adolescent Idiopathic Scoliosis: A New Method to Differentiate Between Lenke 1 Subtypes. Spine, 42(9), E532-E538. Lien externe
Shakeri, M., Datta, A. N., Malfait, D., Oser, N., Létourneau-Guillon, L., Major, P., Srour, M., Tucholka, A., Kadoury, S., & Lippé, S. (2017). Sub-cortical brain morphometry and its relationship with cognition in rolandic epilepsy. Epilepsy Research, 138(Supplement), 39-45. Lien externe
Shakeri, M., Lombaert, H., Tripathi, S., & Kadoury, S. (octobre 2016). Deep spectral-based shape features for Alzheimers disease classification [Communication écrite]. 1st International Workshop on Spectral and Shape Analysis in Medical Imaging (SeSAMI 2016), Athens, Greece. Lien externe
Shen, J., Kadoury, S., Labelle, H., & Parent, S. (2016). Geometric Torsion in Adolescent Idiopathic Scoliosis: A Surgical Outcomes Study of Lenke Type 1 Patients. Spine, 41(24), 1903-1907. Lien externe
Shakeri, M., Ferrante, E., Tsogkas, S., Lippé, S., Kadoury, S., Kokkinos, I., & Paragios, N. (octobre 2016). Prior-based coregistration and cosegmentation [Communication écrite]. 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016), Athens, Greece. Lien externe
Shakeri, M., Lombaert, H., Datta, A. N., Oser, N., Létourneau-Guillon, L., Lapointe, L. V., Martin, F., Malfait, D., Tucholka, A., Lippé, S., & Kadoury, S. (2016). Statistical shape analysis of subcortical structures using spectral matching. Computerized Medical Imaging and Graphics, 52, 58-71. Lien externe
Shaken, M., Tsogkas, S., Ferrante, E., Lippe, S., Kadoury, S., Paragios, N., & Kokkinos, I. (avril 2016). Sub-cortical brain structure segmentation using F-CNN'S [Communication écrite]. 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016), Prague, Czech Republic. Lien externe
Shakeri, M., Lombaert, H., & Kadoury, S. (juillet 2015). Classification of Alzheimer's Disease Using Discriminant Manifolds of Hippocampus Shapes [Communication écrite]. 1st International Workshop on Machine Learning Meets Medical Imaging (MLMMI 2015), Lille, France. Lien externe
Shakeri, M., Lombaert, H., Lippé, S., & Kadoury, S. (février 2014). Groupwise shape analysis of the hippocampus using spectral matching [Communication écrite]. SPIE Medical Imaging, San Diego, California, United States. Lien externe
Shen, J., Kadoury, S., & Parent, S. (septembre 2013). Classification of spinal deformities using a parametric torsion estimator [Communication écrite]. 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), Nagoya, Japan. Lien externe
Shen, J., Kadoury, S., Roy-Beaudry, M., Labelle, H., Aubin, C.-É., & Parent, S. (juillet 2013). Geometric torsion in AIS : a new method to differentiate between Lenke 1 su-types [Communication écrite]. 20th International Meeting on Advanced Spine Techniques (IMAST 2013), Vancouver, British Columbia. Lien externe
Shen, J., Kadoury, S., Labelle, H., Roy-Beaudry, M., Aubin, C.-É., & Parent, S. (mai 2013). Torsion géométrique en scoliose idiopathique de l'adolescent (SIA) : une nouvelle méthode pour différencier les sous-types Lenkel [Communication écrite]. 33e Journée de la recherche du POES et de la Division d'orthopédie de l'Université de Montréal, Montréal, Québec. Non disponible
Shen, J., Kadoury, S., Aubin, C.-É., Labelle, H., & Parent, S. (octobre 2013). Torsion paramétrique chez les patients atteints de scoliose idiopathique : une évaluation des outcomes chirurgicaux [Communication écrite]. 43e Réunion annuelle de la Société de la scoliose du Québec, Montréal, Québec. Non disponible
Touati, R., & Kadoury, S. (2023). Bidirectional feature matching based on deep pairwise contrastive learning for multiparametric MRI image synthesis. Physics in Medicine & Biology, 68(12), 125010 (16 pages). Lien externe
Thibeault, S., Parent, S., & Kadoury, S. (octobre 2023). From Mesh Completion to AI Designed Crown [Communication écrite]. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), Vancouver, Canada. Lien externe
Thibeault, S., Parent, S., & Kadoury, S. (octobre 2023). Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields [Communication écrite]. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada. Lien externe
Touati, R., & Kadoury, S. (2023). A least square generative network based on invariant contrastive feature pair learning for multimodal MR image synthesis. International Journal of Computer Assisted Radiology and Surgery, 18(6), 971-979. Lien externe
Touati, R., Le, W. T., & Kadoury, S. (2021). A feature invariant generative adversarial network for head and neck MRI/CT image synthesis. Physics in Medicine and Biology, 66(9), 18 pages. 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
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
Thong, W., Kadoury, S., Piche, N., & Pal, C. J. (2018). Convolutional networks for kidney segmentation in contrast-enhanced CT scans. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization, 6(3), 277-282. Lien externe
Tripathi, S., Nozadi, S. H., Shakeri, M., & Kadoury, S. (avril 2017). Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classification [Communication écrite]. 14th IEEE International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia. Lien externe
Thong, W., Parent, S., Wu, J., Aubin, C.-É., Labelle, H., & Kadoury, S. (2016). Three-dimensional morphology study of surgical adolescent idiopathic scoliosis patient from encoded geometric models. European Spine Journal, 25(10), 3104-3113. Lien externe
Thong, W., Labelle, H., Shen, J., Parent, S., & Kadoury, S. (2015). Stacked Auto-encoders for Classification of 3D Spine Models in Adolescent Idiopathic Scoliosis. Dans Yao, J., Glocker, B., Klinder, T., & Li, S. (édit.), Recent Advances in Computational Methods and Clinical Applications for Spine Imaging (13-25). Lien externe
Turkbey, I. B., Carvajal, E., Aras, O., Bernardo, M., Mena Gonzalez, E., McCann, T., Daar, D., Rastinehad, A., Agarwal, H., Kadoury, S., Kruecker, J., Shih, J., Linehan, M., Merino, M., Wood, B. J., Pinto, P., & Choyke, P. (décembre 2011). Comparison of endorectal coil and non-endorectal coil MRI at 3T for localizing prostate cancer [Communication écrite]. Proceeding of the Society of Urlogic Oncology, Betheda, MD. Non disponible
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
Vorontsov, E., Molchanov, P., Gazda, M., Beckham, C., Kautz, J., & Kadoury, S. (2022). Towards annotation-efficient segmentation via image-to-image translation. Medical Image Analysis, 82, 102624 (16 pages). Lien externe
Vorontsov, E., & Kadoury, S. (octobre 2021). Label noise in segmentation networks: Mitigation must deal with bias [Communication écrite]. 1st MICCAI Workshop on Data Augmentation, Labelling and Imperfections (DALI 2021). Lien externe
Vazquez Romaguera, L., Mezheritsky, T., & Kadoury, S. (septembre 2021). Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy [Communication écrite]. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). Lien externe
Vázquez Romaguera, L., Olofsson, N., Plantefève, R., Lugez, E., De Guise, J., & Kadoury, S. (2019). Automatic self-gated 4D-MRI construction from free-breathing 2D acquisitions applied on liver images. International Journal of Computer Assisted Radiology and Surgery, 14(6), 933-944. 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
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
Vorontsov, E., Tang, A., Roy, D., Pal, C. J., & Kadoury, S. (2016). Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical & Biological Engineering & Computing, 55(1), 127-139. Lien externe
Vorontsov, E., Abi-Jaoudeh, N., & Kadoury, S. (2014). Metastatic liver tumor segmentation using texture-based omni-directional deformable surface models. Dans Abdominal Imaging. Computational and Clinical Applications : 6th International Workshop (ABDI 2014) held in conjunction with (MICCAI 2014) (Vol. 8676, 74-83). Lien externe
Volkin, D., Yerram, N., Chung, P., Kruecker, J., Kadoury, S., Wood, B. J., & Pinto, P. (décembre 2011). Multiparametric MRi & Subsequent MR/Ultrasound fusion biopsy improves detection of anterior prostate cancer lesions [Communication écrite]. Proceeding of the Society of Urlogic Oncology, Betheda, MD. Non disponible
Venkatesan, A., Kadoury, S., Abi-Jaoudeh, N., Maass-Moreno, R., Kruecker, J., Levy, E., Dalal, S., Xu, S., Glossop, N., & Wood, B. (2011). Real-time FDG PET guidance during biopsies and radiofrequency ablation using multimodality fusion with electromagnetic navigation. Radiology, 260(3), 848-856. 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
Wu, J., Aubin, C.-É., Kadoury, S., Parent, S., & Labelle, H. (octobre 2014). Three dimensional classification of adolescent idiopathic scoliosis (AIS) using a fuzzy-clustering algorithm [Communication écrite]. 44e Réunion de la Société de scoliose du Québec, Québec City, Canada. Non disponible
Xiao, Y., Rivaz, H., Chabanas, M., Fortin, M., Machado, I., Ou, Y., Heinrich, M. P., Schnabel, J. A., Zhon, X., Maier, A., Wein, W., Shams, R., Kadoury, S., Drobny, D., Modat, M., & Reinertsen, I. (2020). Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Transactions on Medical Imaging, 39(3), 777-786. Lien externe
