Samuel Kadoury

Orcid: 0000-0002-3048-4291

According to our database1, Samuel Kadoury authored at least 131 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction.
Medical Image Anal., 2025

2024
Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room.
Int. J. Comput. Assist. Radiol. Surg., June, 2024

Human-scale navigation of magnetic microrobots in hepatic arteries.
Sci. Robotics, February, 2024

Evaluation of stenoses using AI video models applied to coronary angiography.
npj Digit. Medicine, 2024

Image-level supervision and self-training for transformer-based cross-modality tumor segmentation.
Medical Image Anal., 2024

Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits.
CoRR, 2024

Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Feature Tokenizer-Transformers with Self-Training for The Prediction of PD-L1 Expression of Non-Small Cell Lung Cancer from CT.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Dose Aware Toxicity Prediction in Head and Neck Cancer Patients Using a Deformable 3D CNN on Daily CBCT Acquisitions.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for Prostate Interventions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Conditional-Based Transformer Network With Learnable Queries for 4D Deformation Forecasting and Tracking.
IEEE Trans. Medical Imaging, June, 2023

Shape and Flow Sensing in Arterial Image Guidance From UV Exposed Optical Fibers Based on Spatio-Temporal Networks.
IEEE Trans. Biomed. Eng., May, 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

Image-level supervision and self-training for transformer-based cross-modality tumor segmentation.
CoRR, 2023

Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction.
CoRR, 2023

A least square generative network based on invariant contrastive feature pair learning for multimodal MR image synthesis.
Int. J. Comput. Assist. Radiol. Surg., 2023

Impact of train- and test-time Hounsfield unit window variation on CT segmentation of liver lesions.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Prediction of free-breathing 4DCT lung deformation using probabilistic motion auto-encoders.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification.
Proceedings of the Cancer Prevention Through Early Detection, 2023

M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Ensemble Tabnet Predicting a T-Cell/MHC-I-Based Immune Profile Biomarker for Colorectal Liver Metastases from CT Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Prediction of Head and Neck Radiotherapy Toxicity Using a Deformable 3D CNN on Longitudinal Daily CBCT Acquisitions.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

RNA sequencing-based histological subtyping of non-small cell lung cancer with generative adversarial data imputation.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Quantification and 3D Localization of Magnetically Navigated Superparamagnetic Particles Using MRI in Phantom and Swine Chemoembolization Models.
IEEE Trans. Biomed. Eng., 2022

Towards annotation-efficient segmentation via image-to-image translation.
Medical Image Anal., 2022

Population-based 3D respiratory motion modelling from convolutional autoencoders for 2D ultrasound-guided radiotherapy.
Medical Image Anal., 2022

Correction to: Abdominal motion tracking with free‑breathing XD‑GRASP acquisitions using spatio‑temporal geodesic trajectories.
Medical Biol. Eng. Comput., 2022

Abdominal motion tracking with free-breathing XD-GRASP acquisitions using spatio-temporal geodesic trajectories.
Medical Biol. Eng. Comput., 2022

Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Image-Guided Tethering Spine Surgery With Outcome Prediction Using Spatio-Temporal Dynamic Networks.
IEEE Trans. Medical Imaging, 2021

Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy.
Medical Image Anal., 2021

Predictive online 3D target tracking with population-based generative networks for image-guided radiotherapy.
Int. J. Comput. Assist. Radiol. Surg., 2021

Intra-operative forecasting of growth modulation spine surgery outcomes with spatio-temporal dynamic networks.
Int. J. Comput. Assist. Radiol. Surg., 2021

Label Noise in Segmentation Networks: Mitigation Must Deal with Bias.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Multimodal Sensing Guidewire for C-Arm Navigation with Random UV Enhanced Optical Sensors Using Spatio-Temporal Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Intensity-Based Wasserstein Distance As A Loss Measure For Unsupervised Deformable Deep Registration.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Deformable Mri To Transrectal Ultrasound Registration For Prostate Interventions With Shape-Based Deep Variational Auto-Encoders.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge.
IEEE Trans. Medical Imaging, 2020

Prediction of inter-fractional radiotherapy dose plans with domain translation in spatiotemporal embeddings.
Medical Image Anal., 2020

Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks.
Medical Image Anal., 2020

Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.
J. Digit. Imaging, 2020

3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications.
CoRR, 2020

A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction.
CoRR, 2020

Pre-clinical evaluation of an image-guided in-situ Raman spectroscopy navigation system for targeted prostate cancer interventions.
Int. J. Comput. Assist. Radiol. Surg., 2020

Evaluation of intensity-based deformable registration of multi-parametric MRI for radiomics analysis of the prostate.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

MRI to CT Synthesis of the Lumbar Spine from a Pseudo-3D Cycle GAN.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

3D Ultrasound Generation from Partial 2D Observations Using Fully Convolutional and Spatial Transformation Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

High-Resolution Optical Fiber Shape Sensing of Continuum Robots: A Comparative Study <sup>*</sup>.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Intra-Arterial Image Guidance With Optical Frequency Domain Reflectometry Shape Sensing.
IEEE Trans. Medical Imaging, 2019

Boosting segmentation with weak supervision from image-to-image translation.
CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

Automatic self-gated 4D-MRI construction from free-breathing 2D acquisitions applied on liver images.
Int. J. Comput. Assist. Radiol. Surg., 2019

Prediction outcomes for anterior vertebral body growth modulation surgery from discriminant spatiotemporal manifolds.
Int. J. Comput. Assist. Radiol. Surg., 2019

Deformable MRI-TRUS surface registration from statistical deformation models of the prostate.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Quantitative analysis of 4D MR volume reconstruction methods from dynamic slice acquisitions.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Multi-Level Batch Normalization in Deep Networks for Invasive Ductal Carcinoma Cell Discrimination in Histopathology Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

End-To-End Discriminative Deep Network For Liver Lesion Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Learning normalized inputs for iterative estimation in medical image segmentation.
Medical Image Anal., 2018

Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET.
Int. J. Biomed. Imaging, 2018

Convolutional networks for kidney segmentation in contrast-enhanced CT scans.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Blood-Flow Estimation in the Hepatic Arteries Based on 3D/2D Angiography Registration.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Asymmetry quantification from reflectance images of orthotic patients using structural similarity metrics.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Liver lesion segmentation informed by joint liver segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Inter-vertebral disk modelling from pairs of segmented vertebral models using trainable pre-processing networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Computer-assisted pedicle screw placement planning: Towards clinical practice.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
3-D Morphology Prediction of Progressive Spinal Deformities From Probabilistic Modeling of Discriminant Manifolds.
IEEE Trans. Medical Imaging, 2017

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.
Medical Biol. Eng. Comput., 2017

Liver lesion segmentation informed by joint liver segmentation.
CoRR, 2017

3D Morphology Prediction of Progressive Spinal Deformities from Probabilistic Modeling of Discriminant Manifolds.
CoRR, 2017

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation.
CoRR, 2017

Geometric modeling of hepatic arteries in 3D ultrasound with unsupervised MRA fusion during liver interventions.
Int. J. Comput. Assist. Radiol. Surg., 2017

Robust Automatic Graph-Based Skeletonization of Hepatic Vascular Trees.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017

UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-arterial Procedures.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classification.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

On orthogonality and learning recurrent networks with long term dependencies.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Statistical shape analysis of subcortical structures using spectral matching.
Comput. Medical Imaging Graph., 2016

Vessel-based registration of an optical shape sensing catheter for MR navigation.
Int. J. Comput. Assist. Radiol. Surg., 2016

3D shape tracking of minimally invasive medical instruments using optical frequency domain reflectometry.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Visualization of hepatic arteries with 3D ultrasound during intra-arterial therapies.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Deep Spectral-Based Shape Features for Alzheimer's Disease Classification.
Proceedings of the Spectral and Shape Analysis in Medical Imaging, 2016

Prior-Based Coregistration and Cosegmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Classification of Progressive and Non-progressive Scoliosis Patients Using Discriminant Manifolds.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016

The Importance of Skip Connections in Biomedical Image Segmentation.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Sub-cortical brain structure segmentation using F-CNN'S.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Sparse and multi-object pose+shape modeling of the three-dimensional scoliotic spine.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

3D vascular path planning of chemo-embolizations using segmented hepatic arteries from MR angiography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A real-time remote video streaming platform for ultrasound imaging.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling.
IEEE Trans. Medical Imaging, 2015

Metastatic liver tumour segmentation from discriminant Grassmannian manifolds.
CoRR, 2015

Calibration of a needle tracking device with fiber Bragg grating sensors.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Classification of Alzheimer's Disease Using Discriminant Manifolds of Hippocampus Shapes.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014
Robust, accurate and fast automatic segmentation of the spinal cord.
NeuroImage, 2014

Global geometric torsion estimation in adolescent idiopathic scoliosis.
Medical Biol. Eng. Comput., 2014

Groupwise shape analysis of the hippocampus using spectral matching.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Automatic 3D segmentation of spinal cord MRI using propagated deformable models.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

3D Spine Reconstruction of Postoperative Patients from Multi-level Manifold Ensembles.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Towards cone-beam CT thermometry.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

Higher-Order CRF Tumor Segmentation with Discriminant Manifold Potentials.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Graph-based surface extraction of the liver using locally adaptive priors for multimodal interventional image registration.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

A model-based registration approach of preoperative MRI with 3D ultrasound of the liver for Interventional guidance procedures.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Manifold-constrained embeddings for the detection of white matter lesions in brain MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Automatic inference of articulated spine models in CT images using high-order Markov Random Fields.
Medical Image Anal., 2011

Accuracy assessment of an automatic image-based PET/CT registration for ultrasound-guided biopsies and ablations.
Proceedings of the Medical Imaging 2011: Visualization, 2011

3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images.
Proceedings of the British Machine Vision Conference, 2011

2010
Self-Calibration of Biplanar Radiographic Images Through Geometric Spine Shape Descriptors.
IEEE Trans. Biomed. Eng., 2010

Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010

Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Multimodal inference of articulated spine models from higher order energy functions of discrete MRFS.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Personalized X-Ray 3-D Reconstruction of the Scoliotic Spine From Hybrid Statistical and Image-Based Models.
IEEE Trans. Medical Imaging, 2009

Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Segmentation of Scoliotic Spine Silhouettes from Enhanced Biplanar X-Rays Using a Prior Knowledge Bayesian Framework.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
A statistical image-based approach for the 3D reconstruction of the scoliotic spine from biplanar radiographs.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
A Novel System for the 3-D Reconstruction of the Human Spine and Rib Cage From Biplanar X-Ray Images.
IEEE Trans. Biomed. Eng., 2007

A versatile 3D reconstruction system of the spine and pelvis for clinical assessment of spinal deformities.
Medical Biol. Eng. Comput., 2007

Face detection in gray scale images using locally linear embeddings.
Comput. Vis. Image Underst., 2007

Image Guidance of Intracardiac Ultrasound with Fusion of Pre-operative Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Fusion of Intracardiac Ultrasound with 3D Cardiac C-Arm CT from Animal Data for Electrophysiology.
Proceedings of the Bildverarbeitung für die Medizin 2007, 2007

2006
Finding Faces in Gray Scale Images Using Locally Linear Embeddings.
Proceedings of the Image and Video Retrieval, 5th International Conference, 2006


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