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Abboud, Z., Lombaert, H., & Kadoury, S. (2024, October). Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis [Paper]. 27th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024), Marrakesh, Morocco. External link
Abboud, Z., & Kadoury, S. Impact of train- and test-time Hounsfield unit window variation on CT segmentation of liver lesions [Paper]. Medical Imaging 2023: Image Processing, San Diego, CA, USA (10 pages). External link
Alefsen, M., Vorontsov, E., & Kadoury, S. (2023, October). M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision [Paper]. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada. External link
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. External link
Amine Elforaici, M. E., Montagnon, E., Azzi, F., Trudel, D., Nguyen, B., Turcotte, S., Tang, A., & Kadoury, S. (2022, March). Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases [Paper]. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India (5 pages). External link
Alley, S., Fedorov, A., Menard, C., & Kadoury, S. (2020, February). Evaluation of intensity-based deformable registration of multi-parametric MRI for radiomics analysis of the prostate [Paper]. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, Houston, Texas, USA (11 pages). External link
Ahmadi, M., Gross, W. J., & Kadoury, S. (2016, August). A real-time remote video streaming platform for ultrasound imaging [Paper]. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), Orlando, Florida. External link
Abi-Jaoudeh, N., Li, M., Kapoor, A., Kadoury, S., Xu, S., Radaelli, A., Carelsen, B., & Wood, B. J. (2013, September). Cone-beam CT and CT thermometry [Paper]. Cardiovascular and Interventional Radiology Society of Europe (CIRSE 2013), Barcelona, Spain. Unavailable
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. External link
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. External link
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). External link
Bang, C., Le, W. T., Nguyen-Tan, P. F., Soulières, D., O'Sullivan, B., Christopoulos, A., Bissada, É., Ayad, T., Guertin, L., Lalonde, A., Markel, D., Kadoury, S., & Bahig, H. (2023, October). Dynamic Prediction of Toxicities in Head and Neck Cancer Radiotherapy by 3D Convolutional Neural Network Using Daily Cone-Beam CTs [Abstract]. 65th Annual Meeting of the American Society for Radiation Oncology (ASTRO 2023), San Diego, CA, USA (1 page). Published in International Journal of Radiation Oncology Biology Physics, 117(2). External link
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. (2023, September). Dynamic prediction of toxicities in head and neck cancer radiotherapy by 3D convolutional neural network using daily cone-beam CTS [Abstract]. CARO-COMP Joint Scientific Meeting (CARO-COMP 2023), Montréal, Québec, Canada (1 page). Published in Radiotherapy and Oncology, 186(Suppl.1). External link
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). External link
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. External link
Boucher, M.-A., Watts, N., Gremillet, F., Legare, P., & Kadoury, S. (2018, February). Asymmetry quantification from reflectance images of orthotic patients using structural similarity metrics [Paper]. Medical Imaging : Computer-Aided Diagnosis, Houston, TX, United states. External link
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). External link
Boucher, M.-A., Lippe, S., Damphousse, A., El-Jalbout, R., & Kadoury, S. (2018, September). Dilatation of lateral ventricles with brain volumes in infants with 3D transfontanelle US [Paper]. 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain. External link
Boudam, K., Pinter, C., Kadoury, S., Lasso, A., Fichtinger, G., & Ménard, C. (2017, April). Validation of MRI to US Registration for Focal HDR Prostate Brachytherapy [Abstract]. American Brachytherapy Society Annual Meeting, 2017, Boston, Massachusetts, United States. Published in Brachytherapy, 16(3). External link
Badoual, A., Gerard, M., De Leener, B., Abi-Jaoudeh, N., & Kadoury, S. (2016, April). 3D vascular path planning of chemo-embolizations using segmented hepatic arteries from MR angiography [Paper]. 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016), Prague, Czech Republic. External link
Boyer, L., Shen, J., Parent, S., Kadoury, S., & Aubin, C.-É. (2014, May). Variabilité de méthodes de mesures de la rotation axiale vertébrale pour l'évaluation des déformations scoliotiques [Paper]. 34e Journée de la recherche du POES de la Division d'orthopédie de l'Université de Montréal, Montréal, Québec. Unavailable
Boyer, L., Shen, J., Kadoury, S., & Aubin, C.-É. (2013, October). Évaluation de méthodes de mesure de la rotation axiale de vertèbres scoliotiques [Paper]. 43e Réunion annuelle de la Société de la scoliose du Québec, Montréal, Québec. Unavailable
Boussaid, H., Kadoury, S., Kokkinos, I., Lazennec, J.-Y., Zheng, G., & Paragios, N. (2011, August). 3D model-based reconstruction of the proximal femur from low-dose biplanar X-ray images [Paper]. 22nd British Machine Vision Conference, Dundee, UK. External link
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). External link
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. External link
Cros, S., Vorontsov, E., & Kadoury, S. (2021, April). Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients [Paper]. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France. External link
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. External link
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. External link
de Boisredon d’Assier, M. A., Portafaix, A., Vorontsov, E., Le, W. T., & Kadoury, S. (2024). Image-level supervision and self-training for transformer-based cross-modality tumor segmentation. Medical Image Analysis, 97, 103287 (16 pages). External link
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). Available
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. External link
Drozdzal, M., Vorontsov, E., Chartrand, G., Kadoury, S., & Pal, C. J. (2016, October). The Importance of Skip Connections in Biomedical Image Segmentation [Paper]. 2nd International Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), held in conjunction with MICCAI 2016, Athens, Greece. External link
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. External link
De Leener, B., Cohen-Adad, J., & Kadoury, S. (2014, February). Automatic 3D segmentation of spinal cord MRI using propagated deformable models [Paper]. Medical Imaging 2014: Image Processing, San Diego, California, USA. External link
De Leener, B., Ullmann, E., Kadoury, S., & Cohen-Adad, J. (2014, June). PropSeg : automatic spinal cord segmentation method for MR images using propagated deformation models [Paper]. 20th Annual Meeting of OHBM, Hamburg, Germany. Unavailable
De Leener, B., Kadoury, S., & Cohen-Adad, J. (2014). Robust, accurate and fast automatic segmentation of the spinal cord. NeuroImage, 98, 528-536. External link
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). External link
Elforaici, M. E. A., Azzi, F., Trudel, D., Nguyen, B., Montagnon, E., Tang, A., Turcotte, S., & Kadoury, S. (2024, May). Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images [Paper]. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). External link
Francoeur, J., Lezcano, D., Zhetpissov, Y., Kashyap, R., Iordachita, I., & Kadoury, S. (2024, May). Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for Prostate Interventions [Paper]. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan. External link
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. External link
Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (2022, July). Real-time 3D shape sensing with a random Fiber Bragg grating triplet [Paper]. Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Vancouver, British Columbia. External link
Grajales, D., Le, W. T., Tran, T., David, S., Dallaire, F., Ember, K., Leblond, F., Menard, C., & Kadoury, S. (2024). Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room. International Journal of Computer Assisted Radiology and Surgery, 9-9. External link
Gazda, M., Drotar, P., Romaguera, L. V., & Kadoury, S. (2023, April). End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction [Paper]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). External link
Grajales, D., Le, W., Dallaire, F., Sheehy, G., David, S., Tran, T., Leblond, F., Menard, C., & Kadoury, S. (2023, October). Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification [Paper]. 2nd International Workshop on Cancer Prevention Through Early Detection (CaPTion 2023), Vancouver, BC, Canada. External link
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. External link
Grajales, D., Picot, F., Shams, R., Barkati, M., Delouya, G., Béliveau-Nadeau, D., Nicolas, B., Leblond, F., Menard, C., & Kadoury, S. (2021, October). In Vivo Confirmation of Prostate Tumor Burden During HDR Brachytherapy With a Combined Raman Spectroscopy and MRI Radiomics Approach [Abstract]. ASTRO 63rd Annual Meeting, Chicago, Illinois. Published in International Journal of Radiation Oncology Biology Physics, 111(3 (suppl.)). External link
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). Data from: Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation [Dataset]. External link
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). External link
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. Available
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. External link
Henique, G., Bang, C., Markel, D., Le, W., Filion, E., Ngyuen-Tan, P. F., Bahig, H., & Kadoury, S. (2024, May). Dose aware toxicity prediction in head and neck cancer patients using a deformable 3D CNN on Daily CBCT Acquisitions [Paper]. IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). External link
Kadoury, S., Lopera, D., Shams, R., Beliveau-Nadeau, D., Delouya, G., Boudam, K., Carrier, J.-F., & Menard, C. (2021, May). Registration accuracy of an integrated MR-TRUS navigation system for prostate HDR brachytherapy [Poster]. World Congress of Brachytherapy. Published in Radiotherapy and Oncology, 158. External link
Kashyap, R., Loranger, S., Monet, F., Kadoury, S., & Lorre, P. (2020). Method and system for fabricating an optical fiber device for shape sensing. (Patent Application no. US20200132926). External link
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). External link
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. External link
Knez, D., Nahle, I. S., Vrtovec, T., Parent, S., & Kadoury, S. (2018, April). Computer-assisted pedicle screw placement planning: Towards clinical practice [Paper]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC. External link
Kadoury, S. (2018). Manifold learning in medical imaging. In Bracken, P. (ed.), Manifolds II - Theory and Applications (19 pages). External link
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. External link
Kadoury, S., Fécamp, V., Gérard, M., & Soulez, G. (2016, April). Fiducial-less fusion imaging of 3D ultrasound with prior CT/MRI in liver interventions [Abstract]. SIR 2016 Annual Scientific Meeting, Vancouver, BC, Canada. Published in Journal of Vascular and Interventional Radiology, 27(3). External link
Kadoury, S., Labelle, H., & Parent, S. (2016). Postoperative 3D spine reconstruction by navigating partitioning manifolds. Medical Physics, 43(3), 1045-1056. External link
Korez, R., Aubert, B., Cresson, T., Parent, S., Vrtovec, T., de Guise, J., & Kadoury, S. (2016, April). Sparse and multi-object pose+shape modeling of the three-dimensional scoliotic spine [Paper]. 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016), Prague, Czech Republic. External link
Kadoury, S., Vorontsov, E., & An, T. (2015). Metastatic liver tumour segmentation from discriminant Grassmannian manifolds. Physics in Medicine and Biology, 60(16), 6459-6478. External link
Kadoury, S. (2014). Three-Dimensional Spine Reconstruction from Radiographs. In Li, S., & Yao, J. (eds.), Spinal Imaging and Image Analysis (pp. 159-191). External link
Kadoury, S., Labelle, H., & Parent, S. (2014, September). 3D Spine Reconstruction of Postoperative Patients from Multi-level Manifold Ensembles [Paper]. 17th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014), Boston, MA, USA. External link
Klinder, T., Kadoury, S., & Lorenz, C. (2014). Computational Modeling of the Spine. In Shape Analysis in Medical Image Analysis (Vol. 14, pp. 339-371). External link
Kadoury, S., Shen, J., & Parent, S. (2014). Global geometric torsion estimation in adolescent idiopathic scoliosis. Medical & Biological Engineering & Computing, 52(4), 309-319. External link
Kadoury, S., Abi-Jaoudeh, N., & Valdes, P. A. (2013, September). Higher-order CRF tumor segmentation with discriminant manifold potentials [Paper]. 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), Nagoya, Japan. External link
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. External link
Kadoury, S., Erus, G., Zacharaki, E. I., Paragios, N., & Davatzikos, C. (2012, May). Manifold-constrained embeddings for the detection of white matter lesions in brain MRI [Paper]. 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012), Barcelona, Spain. External link
Kadoury, S., Erus, G., & Davatzikos, C. (2012, October). Nonlinear discriminant graph embeddings for detecting white matter lesions in FLAIR MRI [Paper]. 3rd International Workshop on Machine Learning in Medical Imaging (MLMI 2012), Nice, France. External link
Kadoury, S., Wood, B. J., Venkatesan, A., Dalal, S., Xu, S., & Kruecker, J. (2011, February). Accuracy assessment of an automatic image-based PET/CT registration for ultrasound-guided bipsies and ablations [Paper]. SPIE Medical Imaging, Orlando, Floride. External link
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. External link
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. External link
Kruecker, J., Kadoury, S., Yan, P., Turkbey, B., Pinto, P., & Wood, B. J. (2011, June). Prostate biopsy with image fusion : System validation and clinical results [Paper]. International Conference on Computer Assisted Radiology & Surgery, Berlin, Germany. Unavailable
Kadoury, S., & Paragios, N. (2010, April). Multimodal inference of articulated spine models from higher order energy functions of discrete MRFS [Paper]. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2010), Rotterdam, Netherlands. External link
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. External link
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. External link
Kadoury, S., Cheriet, F., & Labelle, H. (2009, June). Segmentation of scoliotic spine silhouettes from enhanced biplanar X-rays using a prior knowledge Bayesian framework [Paper]. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2009). External link
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. External link
Kadoury, S., Cheriet, F., & Labelle, H. (2008, July). Prediction of the T2-T12 kyphosis in adolescent idiopathic scoliosis using a multivariate regression model [Paper]. 7th Biennial Meeting of the International Research Society of Spinal Deformities (IRSSD 2008), Liverpool, United kingdom. External link
Kadoury, S. (2008). Reconstruction 3D personnalisée de la colonne vertébrale à partir d'images radiographiques non-calibrées [Ph.D. thesis, École Polytechnique de Montréal]. Available
Kadoury, S., Cheriet, F., & Labelle, H. (2008, June). Self-calibration of biplanar radiographic system for the clinical 3D assessment of spinal deformities [Paper]. International Conference on Computer Assisted Radiology & Surgery, Barcelona, Spain. Unavailable
Kadoury, S., Cheriet, F., & Labelle, H. (2008, May). A statistical image-based approach for the 3D reconstruction of the scoliotic spine from biplanar radiographs [Paper]. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), Paris, France. External link
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. External link
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. External link
Kadoury, S., & Cheriet, F. (2006, June). X-ray image restoration with adaptive PDE filter for an accurate calibration of the acquisition system for the 3D reconstruction of the spine [Paper]. International Conference on Computer Assisted Radiology & Surgery, Osaka, Japan. Unavailable
Labrecque Langlais, É., Corbin, D., Tastet, O., Hayek, A., Doolub, G., Mrad, S., Tardif, J.‐C., Tanguay, J.‐F., Marquis‐Gravel, G., Tison, G. H., Kadoury, S., Le, W., Gallo, R., Lesage, F., & Avram, R. (2024). Evaluation of stenoses using AI video models applied to coronary angiography. NPJ Digital Medicine, 7, 138 (13 pages). Available
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. External link
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. External link
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. External link
Le, W. T., Bang, C., Cordelle, P., Markel, D., Nguyen-Tan, P. F., Bahig, H., & Kadoury, S. (2023, April). Prediction of Head and Neck Radiotherapy Toxicity Using a Deformable 3D CNN on Longitudinal Daily CBCT Acquisitions [Paper]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). External link
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. External link
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). External link
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). External link
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. External link
Li, H., Cloutier, G., Kadoury, S., & Soulez, G. (2020, September). A 3D motion tracking algorithm using ultrasound B-mode images: A feasibility study [Paper]. IEEE International Ultrasonics Symposium (IUS 2020), Las Vegas, Nevada (4 pages). External link
Le, W., Romero, F. P., & Kadoury, S. (2020, October). Convolutionally Normalized Survival Prediction of Head and Neck Cancer Using Planning CT [Abstract]. 62nd Annual Meeting of the American-Society-for-Radiation-Oncology (ASTRO 2020), Miami Beach (2 pages). Published in International Journal of Radiation Oncology Biology Physics, 108(3 (suppl.)). External link
Lorre, P., Monet, F., Gauthier, M., Poiffaut, A., Roberge, A., Kadoury, S., & Kashyap, R. (2020, February). Extruded complex optical fiber structures for shape sensing and biomedical applications [Presentation]. In SPIE OPTO 2020, San Francisco, California. External link
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. External link
Lorre, P., Monet, F., Gauthier, M., Poiffaut, A., Roberge, A., Kadoury, S., & Kashyap, R. (2019, October). Extruded optical fiber triplets for 3D shape sensing for minimally invasive surgery [Paper]. 7th European Workshop on Optical Fibre Sensors (EWOFS 2019), Limassol, Cyprus (4 pages). External link
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. External link
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. External link
Lessard, S., Plantefève, R., Michaud, F., Huet, C., Soulez, G., & Kadoury, S. (2018, September). Blood-flow estimation in the hepatic arteries based on 3D/2D angiography registration [Paper]. 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. External link
Li, M., Abi-Jaoudeh, N., Kapoor, A., Kadoury, S., Xu, S., Noordhoek, N., Radaelli, A., Carelsen, B., & Wood, B. J. (2013, February). Towards cone-beam CT thermometry [Paper]. Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, Lake Buena Vista, FL, United states. External link
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). External link
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. External link
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. External link
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. External link
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). External link
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). External link
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. External link
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. External link
Mezheritsky, T., Vazquez Romaguera, L., & Kadoury, S. (2020, April). 3D Ultrasound Generation from Partial 2D Observations Using Fully Convolutional and Spatial Transformation Networks [Paper]. 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA. External link
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. External link
Monet, F., Sefati, S., Lorre, P., Poiffaut, A., Kadoury, S., Armand, M., Iordachita, I., & Kashyap, R. (2020, May). High-Resolution Optical Fiber Shape Sensing of Continuum Robots: A Comparative Study [Paper]. IEEE International Conference on Robotics and Automation (ICRA 2020), Paris, France. External link
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. External link
Mandel, W., Parent, S., & Kadoury, S. (2020, October). Intra-operative forecasting of growth modulation spine surgery outcomes with spatio-temporal dynamic networks [Paper]. 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020), Lima, Peru. External link
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. External link
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. (2020, October). MRI/PET Directed and TRUS/EM Guided Prostate Tumor Targeted HDR Brachytherapy: Performance of a Prototype System [Abstract]. 62nd Annual Meeting of the American-Society-for-Radiation-Oncology (ASTRO 2020). Published in International Journal of Radiation Oncology Biology Physics, 108(3). External link
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. External link
Monet, F., Loranger, S., Lambin-Iezzi, V. L., Kadoury, S., & Kashyap, R. (2019, February). Order of magnitude increase in resolution of optical frequency domain reflectometry based temperature and strain sensing by the inscription of a ROGUE [Presentation]. In SPIE Optical Components and Materials XVI (SPIE OPTO 2019), San Francisco, California, United States. External link
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. External link
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. External link
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. External link
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. External link
Mandel, W., Turcot, O., Knez, D., Parent, S., & Kadoury, S. (2018, September). Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis [Paper]. 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain. External link
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. External link
Ménard, C., Pambrun, J. F., & Kadoury, S. (2017). The utilization of magnetic resonance imaging in the operating room. Brachytherapy, 16(4), 754-760. External link
Mandel, W., Korez, R., Nault, M. L., Parent, S., & Kadoury, S. (2016, October). Classification of Progressive and Non-progressive Scoliosis Patients Using Discriminant Manifolds [Paper]. 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, Ahtens, Greece. External link
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. External link
Mandal, K. K., Parent, F., Martel, S., Kashyap, R., & Kadoury, S. (2015, February). Calibration of a needle tracking device with fiber Bragg grating sensors [Paper]. SPIE Medical Imaging, Orlando, Florida (8 pages). External link
Nolin-Lapalme, A., Theriault-Lauzier, P., Corbin, D., Tastet, O., Sharma, A., Hussin, J. G., Kadoury, S., Jiang, R., Krahn, A. D., Gallo, R., & Avram, R. (2024). Maximizing Large Language Model Utility in Cardiovascular Care: A Practical Guide. Canadian Journal of Cardiology, 38 pages. External link
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. (2021, May). Outcomes in focal vs. dose-painted salvage HDR brachytherapy for locally recurrent prostate cancer [Abstract]. World Congress of Brachytherapy. Published in Radiotherapy and Oncology, 158. External link
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. Available
Nix, J., Hoang, A., Chung, P., Kruecker, J., Kadoury, S., Wood, B. J., & Pinto, P. (2011, November). Multiparametric magnetic resonance imaging detects prostate cancer in patients with prior negative TRUS biopsies [Paper]. Annual Meeting of the Society of Urologic Oncology, Bethesda, MD, USA. Unavailable
Ouraou, E., Tonneau, M., Le, W., Filion, É., Campeau, M.‐P., Vu, T., Doucet, R., Bahig, H., & Kadoury, S. (2024). Predicting early stage lung cancer recurrence and survival from combined tumor motion amplitude and radiomics on free‐breathing 4D‐CT. Medical Physics, 15 pages. External link
Ouraou, E., Romaguera, L. V., Tonneau, M., Bahig, H., & Kadoury, S. (2023, February). Prediction of free-breathing 4DCT lung deformation using probabilistic motion auto-encoders [Paper]. Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA (7 pages). External link
Oulbacha, R., & Kadoury, S. (2020). MRI to C-arm spine registration through Pseudo-3D CycleGANs with differentiable histograms. Medical Physics, 47(12), 6319-6333. External link
Oulbacha, R., & Kadoury, S. (2020, April). MRI to CT Synthesis of the Lumbar Spine from a Pseudo-3D Cycle GAN [Paper]. 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA. External link
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). External link
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. External link
Pasha, S., Shen, J., & Kadoury, S. (2021). True 3D parameters of the spinal deformity in adolescent idiopathic scoliosis. Spine Deformity, 9(3), 703-710. External link
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. Available
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. (2020, April). Data compatibility across point probe Raman spectroscopy systems and its impact on statistical models portability (Conference Presentation) [Presentation]. In Clinical Biophotonics 2020. External link
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. External link
Petkovi, U., Korez, R., Parent, S., Kadoury, S., & Vrtovec, T. (2017, September). 3D Cobb angle measurements from scoliotic mesh models with varying face-vertex density [Paper]. 5th Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging (MSKI 2017), Québec City, QC. External link
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. External link
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. External link
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. External link
Plantefève, R., Kadoury, S., Tang, A., & Peterlik, I. (2017, September). Robust Automatic Graph-Based Skeletonization of Hepatic Vascular Trees [Paper]. 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. External link
Parent, F., Gerard, M., Kashyap, R., & Kadoury, S. (2017, September). UV exposed optical fibers with frequency domain reflectometry for device tracking in intra-arterial procedures [Paper]. 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017), Québec City, QC, Canada. External link
Parent, F., Kanti Mandal, K., Loranger, S., Watanabe Fernandes, E. H., Kashyap, R., & Kadoury, S. (2016, February). 3D shape tracking of minimally invasive medical instruments using optical frequency domain reflectometry [Paper]. Medical Imaging 2016, San Diego, California. External link
Parent, F., Loranger, S., Kadoury, S., & Kashyap, R. (2016, July). Massive enhancement of scatter in UV exposed optical Fibers [Paper]. Specialty Optical Fibers (SOF 2016), Vancouver, Canada. External link
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. External link
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. External link
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. External link
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). External link
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. External link
Romero, F. P., Diler, A., Bisson-Gregoire, G., Turcotte, S., Lapointe, R., Vandenbroucke-Menu, F., Tang, A., & Kadoury, S. (2019, April). End-to-end discriminative deep network for liver lesion classification [Paper]. 16th IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy. External link
Romero, F. P., Tang, A., & Kadoury, S. (2019, April). Multi-level batch normalization in deep networks for invasive ductal carcinoma cell discrimination in histopathology images [Paper]. 16th IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy. External link
Romaguera, L. V., Plantefève, R., & Kadoury, S. (2019, February). Quantitative analysis of 4D MR volume reconstruction methods from dynamic slice acquisitions [Paper]. SPIE Medical Imaging 2019 : Image-Guided Procedures, Robotic Interventions, and Modeling (MI2019), San Diego, California, United States (6 pages). External link
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. External link
Saber, R., Tonneau, M., Bahig, S., Malo, J., Belkaid, W., Messaoudene, M., Bouchard, N., Coulombe, F., Joubert, P., Bahig, H., Turcotte, S., Routy, B., & Kadoury, S. (2024, May). Feature Tokenizer-Transformers with Self-Training for The Prediction of PD-L1 Expression of Non-Small Cell Lung Cancer from CT [Paper]. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). External link
Saber, R., Henault, D., Rebolledo, R., Turcotte, S., & Kadoury, S. (2023, April). Ensemble Tabnet Predicting a T-Cell/MHC-I-Based Immune Profile Biomarker for Colorectal Liver Metastases from CT Images [Paper]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). External link
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. Available
Saber, R., Routy, B., Turcotte, S., & Kadoury, S. (2023, October). RNA sequencing-based histological subtyping of non-small cell lung cancer with generative adversarial data imputation [Paper]. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2023), Pittsburgh, PA, USA (4 pages). External link
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. External link
Saber, R., Henault, D., Vorontsov, E., Montagnon, E., Tang, A., Turcotte, S., & Kadoury, S. (2022, February). Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker [Paper]. Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA (7 pages). External link
Shakeri, S., Le, W., Ménard, C., & Kadoury, S. (2021, April). Deformable Mri To Transrectal Ultrasound Registration For Prostate Interventions With Shape-Based Deep Variational Auto-Encoders [Paper]. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France. External link
Shams, R., Le, W., Weihs, A., & Kadoury, S. (2021, April). Intensity-Based Wasserstein Distance as a Loss Measure for Unsupervised Deformable Deep Registration [Paper]. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France. External link
Svecic, A., Soulez, G., Monet, F., Kashyap, R., & Kadoury, S. (2021, September). Multimodal Sensing Guidewire for C-Arm Navigation with Random UV Enhanced Optical Sensors Using Spatio-Temporal Networks [Paper]. 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2021), Strasbourg, France. External link
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. External link
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. External link
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. External link
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. External link
Shakeri, S., Menard, C., Lopes, R., & Kadoury, S. (2019, February). Deformable MRI-TRUS surface registration from statistical deformation models of the prostate [Paper]. SPIE Medical Imaging 2019 : Image-Guided Procedures, Robotic Interventions, and Modeling (MI2019), San Diego, California, United States (7 pages). External link
Shakeri, M., Nahle, I., Finley, E., & Kadoury, S. (2018, April). Inter-vertebral disk modelling from pairs of segmented vertebral models using trainable pre-processing networks [Paper]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C.. External link
Shams, R., Boucher, M.-A., & Kadoury, S. (2018, September). Intra-operative brain shift correction with weighted locally linear correlations of 3DUS and MRI [Paper]. 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. External link
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. External link
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. External link
Shakeri, M., Lombaert, H., Tripathi, S., & Kadoury, S. (2016, October). Deep spectral-based shape features for Alzheimers disease classification [Paper]. 1st International Workshop on Spectral and Shape Analysis in Medical Imaging (SeSAMI 2016), Athens, Greece. External link
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. External link
Shakeri, M., Ferrante, E., Tsogkas, S., Lippé, S., Kadoury, S., Kokkinos, I., & Paragios, N. (2016, October). Prior-based coregistration and cosegmentation [Paper]. 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016), Athens, Greece. External link
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. External link
Shaken, M., Tsogkas, S., Ferrante, E., Lippe, S., Kadoury, S., Paragios, N., & Kokkinos, I. (2016, April). Sub-cortical brain structure segmentation using F-CNN'S [Paper]. 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016), Prague, Czech Republic. External link
Shakeri, M., Lombaert, H., & Kadoury, S. (2015, July). Classification of Alzheimer's Disease Using Discriminant Manifolds of Hippocampus Shapes [Paper]. 1st International Workshop on Machine Learning Meets Medical Imaging (MLMMI 2015), Lille, France. External link
Shakeri, M., Lombaert, H., Lippé, S., & Kadoury, S. (2014, February). Groupwise shape analysis of the hippocampus using spectral matching [Paper]. SPIE Medical Imaging, San Diego, California, United States. External link
Shen, J., Kadoury, S., & Parent, S. (2013, September). Classification of spinal deformities using a parametric torsion estimator [Paper]. 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), Nagoya, Japan. External link
Shen, J., Kadoury, S., Roy-Beaudry, M., Labelle, H., Aubin, C.-É., & Parent, S. (2013, July). Geometric torsion in AIS : a new method to differentiate between Lenke 1 su-types [Paper]. 20th International Meeting on Advanced Spine Techniques (IMAST 2013), Vancouver, British Columbia. External link
Shen, J., Kadoury, S., Labelle, H., Roy-Beaudry, M., Aubin, C.-É., & Parent, S. (2013, May). Torsion géométrique en scoliose idiopathique de l'adolescent (SIA) : une nouvelle méthode pour différencier les sous-types Lenkel [Paper]. 33e Journée de la recherche du POES et de la Division d'orthopédie de l'Université de Montréal, Montréal, Québec. Unavailable
Shen, J., Kadoury, S., Aubin, C.-É., Labelle, H., & Parent, S. (2013, October). Torsion paramétrique chez les patients atteints de scoliose idiopathique : une évaluation des outcomes chirurgicaux [Paper]. 43e Réunion annuelle de la Société de la scoliose du Québec, Montréal, Québec. Unavailable
Thibeault, S., Roy‐Beaudry, M., Parent, S., & Kadoury, S. (2024). Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields. Medical Image Analysis, 100, 103400 (13 pages). External link
Thibeault, S., Romaguera, L. V., & Kadoury, S. (2024, October). Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations [Paper]. 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), Marrakesh, Morocco. External link
Touati, R., Trung Le, W., & Kadoury, S. (2024). Multi-planar dual adversarial network based on dynamic 3D features for MRI-CT head and neck image synthesis. Physics in Medicine & Biology, 36 pages. External link
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). External link
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). External link
Thibeault, S., Parent, S., & Kadoury, S. (2023, October). Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields [Paper]. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada. External link
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. External link
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. External link
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. External link
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. External link
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. External link
Tripathi, S., Nozadi, S. H., Shakeri, M., & Kadoury, S. (2017, April). Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classification [Paper]. 14th IEEE International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia. External link
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. External link
Thong, W., Labelle, H., Shen, J., Parent, S., & Kadoury, S. (2015). Stacked Auto-encoders for Classification of 3D Spine Models in Adolescent Idiopathic Scoliosis. In Yao, J., Glocker, B., Klinder, T., & Li, S. (eds.), Recent Advances in Computational Methods and Clinical Applications for Spine Imaging (pp. 13-25). External link
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. (2011, November). Comparison of endorectal coil and non-endorectal coil MRI at 3T for localizing prostate cancer [Paper]. Proceeding of the Society of Urologic Oncology, Bethesda, MD. Unavailable
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. (2023, September). Automated liver segmentation and steatosis grading using deep learning on B-mode ultrasound images [Paper]. IEEE International Ultrasonics Symposium (IUS 2023), Montreal, Qc, Canada (4 pages). External link
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). External link
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). External link
Vorontsov, E., & Kadoury, S. (2021, October). Label noise in segmentation networks: Mitigation must deal with bias [Paper]. 1st MICCAI Workshop on Data Augmentation, Labelling and Imperfections (DALI 2021). External link
Vazquez Romaguera, L., Mezheritsky, T., & Kadoury, S. (2021, September). Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy [Paper]. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). External link
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. External link
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. External link
Vorontsov, E., Tang, A., Pal, C. J., & Kadoury, S. (2018, April). Liver lesion segmentation informed by joint liver segmentation [Paper]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C.. External link
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. External link
Vorontsov, E., Abi-Jaoudeh, N., & Kadoury, S. (2014). Metastatic liver tumor segmentation using texture-based omni-directional deformable surface models. In Abdominal Imaging. Computational and Clinical Applications : 6th International Workshop (ABDI 2014) held in conjunction with (MICCAI 2014) (Vol. 8676, pp. 74-83). External link
Volkin, D., Yerram, N., Chung, P., Kruecker, J., Kadoury, S., Wood, B. J., & Pinto, P. (2011, November). Multiparametric MRi & Subsequent MR/Ultrasound fusion biopsy improves detection of anterior prostate cancer lesions [Paper]. Proceeding of the Society of Urologic Oncology, Bethesda, MD. Unavailable
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. External link
Webster, R. J., Yaniv, Z. R., Gerard, M., Tang, A., Badoual, A., Michaud, F., Bigot, A., Soulez, G., & Kadoury, S. (2016, February). Visualization of hepatic arteries with 3D ultrasound during intra-arterial therapies [Paper]. Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California. External link
Wu, J., Aubin, C.-É., Kadoury, S., Parent, S., & Labelle, H. (2014, October). Three dimensional classification of adolescent idiopathic scoliosis (AIS) using a fuzzy-clustering algorithm [Paper]. 44e Réunion de la Société de scoliose du Québec, Québec City, Canada. Unavailable
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. External link