Samuel Kadoury
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The importance of skip connections in biomedical image segmentation
M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal
International workshop on deep learning in medical image analysis …, 2016
Deep learning: a primer for radiologists
G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ...
Radiographics 37 (7), 2113-2131, 2017
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
Magnetic resonance imaging/ultrasound fusion guided prostate biopsy improves cancer detection following transrectal ultrasound biopsy and correlates with multiparametric …
PA Pinto, PH Chung, AR Rastinehad, AA Baccala, J Kruecker, ...
The Journal of urology 186 (4), 1281-1285, 2011
Intravoxel incoherent motion MR imaging for prostate cancer: An evaluation of perfusion fraction and diffusion coefficient derived from different b‐value combinations
Y Pang, B Turkbey, M Bernardo, J Kruecker, S Kadoury, MJ Merino, ...
Magnetic resonance in medicine 69 (2), 553-562, 2013
Learning normalized inputs for iterative estimation in medical image segmentation
M Drozdzal, G Chartrand, E Vorontsov, M Shakeri, L Di Jorio, A Tang, ...
Medical image analysis 44, 1-13, 2018
On orthogonality and learning recurrent networks with long term dependencies
E Vorontsov, C Trabelsi, S Kadoury, C Pal
International Conference on Machine Learning, 3570-3578, 2017
Liver segmentation: indications, techniques and future directions
A Gotra, L Sivakumaran, G Chartrand, KN Vu, F Vandenbroucke-Menu, ...
Insights into imaging 8, 377-392, 2017
Robust, accurate and fast automatic segmentation of the spinal cord
B De Leener, S Kadoury, J Cohen-Adad
Neuroimage 98, 528-536, 2014
Liver lesion segmentation informed by joint liver segmentation
E Vorontsov, A Tang, C Pal, S Kadoury
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Deep learning workflow in radiology: a primer
E Montagnon, M Cerny, A Cadrin-Chênevert, V Hamilton, T Derennes, ...
Insights into imaging 11, 1-15, 2020
Multimodality image fusion–guided procedures: technique, accuracy, and applications
N Abi-Jaoudeh, J Kruecker, S Kadoury, H Kobeiter, AM Venkatesan, ...
Cardiovascular and interventional radiology 35, 986-998, 2012
Sub-cortical brain structure segmentation using F-CNN's
M Shakeri, S Tsogkas, E Ferrante, S Lippe, S Kadoury, N Paragios, ...
2016 IEEE 13th international symposium on biomedical imaging (ISBI), 269-272, 2016
D'Amico risk stratification correlates with degree of suspicion of prostate cancer on multiparametric magnetic resonance imaging
AR Rastinehad, AA Baccala, PH Chung, JM Proano, J Kruecker, S Xu, ...
The Journal of urology 185 (3), 815-820, 2011
Enhancement of accuracy in shape sensing of surgical needles using optical frequency domain reflectometry in optical fibers
F Parent, S Loranger, KK Mandal, VL Iezzi, J Lapointe, JS Boisvert, ...
Biomedical optics express 8 (4), 2210-2221, 2017
Real-time FDG PET guidance during biopsies and radiofrequency ablation using multimodality fusion with electromagnetic navigation
AM Venkatesan, S Kadoury, N Abi-Jaoudeh, EB Levy, R Maass-Moreno, ...
Radiology 260 (3), 848-856, 2011
A versatile 3D reconstruction system of the spine and pelvis for clinical assessment of spinal deformities
S Kadoury, F Cheriet, C Laporte, H Labelle
Medical & biological engineering & computing 45 (6), 591-602, 2007
Deep learning for automated segmentation of liver lesions at CT in patients with colorectal cancer liver metastases
E Vorontsov, M Cerny, P Régnier, L Di Jorio, CJ Pal, R Lapointe, ...
Radiology: Artificial Intelligence 1 (2), 180014, 2019
Convolutional networks for kidney segmentation in contrast-enhanced CT scans
W Thong, S Kadoury, N Piché, CJ Pal
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018
Deep learning: an update for radiologists
PM Cheng, E Montagnon, R Yamashita, I Pan, A Cadrin-Chênevert, ...
Radiographics 41 (5), 1427-1445, 2021
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