Tom Vercauteren

Affiliations:
  • University College London (UCL), UK


According to our database1, Tom Vercauteren authored at least 225 papers between 2005 and 2024.

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Bibliography

2024
Multitask Learning in Minimally Invasive Surgical Vision: A Review.
CoRR, 2024

2023
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging, December, 2023

Development and validation of a flexible fetoscope for fetoscopic laser coagulation.
Int. J. Comput. Assist. Radiol. Surg., September, 2023

Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency.
Neurocomputing, August, 2023

Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB).
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Editorial for special issue on explainable and generalizable deep learning methods for medical image computing.
Medical Image Anal., 2023

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023

LBR-Stack: ROS 2 and Python Integration of KUKA FRI for Med and IIWA Robots.
CoRR, 2023

A 3D generative model of pathological multi-modal MR images and segmentations.
CoRR, 2023

A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma.
CoRR, 2023

Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker.
CoRR, 2023

DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces.
CoRR, 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
CoRR, 2023

SegMatch: A semi-supervised learning method for surgical instrument segmentation.
CoRR, 2023

Learning-based sound speed reconstruction and aberration correction in linear-array photoacoustic/ultrasound imaging.
CoRR, 2023

Text Promptable Surgical Instrument Segmentation with Vision-Language Models.
CoRR, 2023

LoViT: Long Video Transformer for Surgical Phase Recognition.
CoRR, 2023

VideoSum: A Python Library for Surgical Video Summarization.
CoRR, 2023

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging.
Int. J. Comput. Assist. Radiol. Surg., 2023

Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Adaptive Multi-scale Online Likelihood Network for AI-Assisted Interactive Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards in-utero Navigational Assistance: A Multi Task Neural Network for Segmentation and Pose Estimation in Fetoscopy.
Proceedings of the International Symposium on Medical Robotics, 2023

Trackerless Freehand Ultrasound with Sequence Modelling and Auxiliary Transformation Over Past and Future Frames.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2023

OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
FastGeodis: Fast Generalised Geodesic Distance Transform.
J. Open Source Softw., November, 2022

Cross-Modality Image Registration Using a Training-Time Privileged Third Modality.
IEEE Trans. Medical Imaging, 2022

Enhanced Photoacoustic Visualisation of Clinical Needles by Combining Interstitial and Extracorporeal Illumination of Elastomeric Nanocomposite Coatings.
Sensors, 2022

Intraoperative Needle Tip Tracking with an Integrated Fibre-Optic Ultrasound Sensor.
Sensors, 2022

Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data.
NeuroImage, 2022

Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.
Medical Image Anal., 2022

Robotic Endoscope Control Via Autonomous Instrument Tracking.
Frontiers Robotics AI, 2022

MONAI: An open-source framework for deep learning in healthcare.
CoRR, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation.
CoRR, 2022

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images.
CoRR, 2022

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022

Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

Surgical biomicroscopy-guided intra-operative optical coherence tomography (iOCT) image super-resolution.
Int. J. Comput. Assist. Radiol. Surg., 2022

A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Driving Points Prediction for Abdominal Probabilistic Registration.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Can Segmentation Models Be Trained with Fully Synthetically Generated Data?
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction.
Proceedings of the Conference on Robot Learning, 2022

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy.
IEEE Trans. Medical Imaging, 2021

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Image Compositing for Segmentation of Surgical Tools Without Manual Annotations.
IEEE Trans. Medical Imaging, 2021

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.
Medical Image Anal., 2021

Imitation learning for improved 3D PET/MR attenuation correction.
Medical Image Anal., 2021

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.
Medical Image Anal., 2021

Partial supervision for the FeTA challenge 2021.
CoRR, 2021

Autonomous Robotic Endoscope Control based on Semantically Rich Instructions.
CoRR, 2021

Inter Extreme Points Geodesics for Weakly Supervised Segmentation.
CoRR, 2021

MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation.
CoRR, 2021

Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware.
Int. J. Comput. Assist. Radiol. Surg., 2021

A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections.
Int. J. Comput. Assist. Radiol. Surg., 2021

Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automatic Tomographic Ultrasound Imaging Sequence Extraction of the Anal Sphincter.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Intra-operative OCT (iOCT) Image Quality Enhancement: A Super-Resolution Approach Using High Quality iOCT 3D Scans.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Homography-based Visual Servoing with Remote Center of Motion for Semi-autonomous Robotic Endoscope Manipulation.
Proceedings of the International Symposium on Medical Robotics, 2021

Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions.
Proc. IEEE, 2020

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.
NeuroImage, 2020

Image computing for fibre-bundle endomicroscopy: A review.
Medical Image Anal., 2020

DeepReg: a deep learning toolkit for medical image registration.
J. Open Source Softw., 2020

Refractive Two-View Reconstruction for Underwater 3D Vision.
Int. J. Comput. Vis., 2020

Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications.
CoRR, 2020

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.
CoRR, 2020

High-throughput molecular imaging via deep learning enabled Raman spectroscopy.
CoRR, 2020

Introduction to Medical Image Registration with DeepReg, Between Old and New.
CoRR, 2020

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients.
CoRR, 2020

SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning.
CoRR, 2020

Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation.
Comput. Methods Programs Biomed., 2020

Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.
Int. J. Comput. Assist. Radiol. Surg., 2020

Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.
Int. J. Comput. Assist. Radiol. Surg., 2020

Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology.
Int. J. Comput. Assist. Radiol. Surg., 2020

Deep learning-based fetoscopic mosaicking for field-of-view expansion.
Int. J. Comput. Assist. Radiol. Surg., 2020

FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos.
Int. J. Comput. Assist. Radiol. Surg., 2020

Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy.
Int. J. Comput. Assist. Radiol. Surg., 2020

Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Scribble-Based Domain Adaptation via Co-segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Active Handheld Flexible Fetoscope-Design and Control Based on a Modified Generalized Prandtl-Ishlinski Model.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020

2019
Evaluation of Haptic Feedback on Bimanually Teleoperated Laparoscopy for Endometriosis Surgery.
IEEE Trans. Biomed. Eng., 2019

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.
Medical Image Anal., 2019

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.
Neurocomputing, 2019

Handheld Active Add-On Control Unit for a Cable-Driven Flexible Endoscope.
Frontiers Robotics AI, 2019

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation.
Frontiers Comput. Neurosci., 2019

Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track.
CoRR, 2019

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss.
CoRR, 2019

Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Permutohedral Attention Module for Efficient Non-local Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Conditional Segmentation in Lieu of Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Incompressible Image Registration Using Divergence-Conforming B-Splines.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Sequential Mosaicking of Fetoscopic Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Quantifying the Intra-Operative Hemodynamic Effects of Glue Embolization in Vein of Galen Malformations.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Macro-Micro Multi-Arm Robot for Single-Port Access Surgery.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Robotic Control of a Multi-Modal Rigid Endoscope Combining Optical Imaging with All-Optical Ultrasound.
Proceedings of the International Conference on Robotics and Automation, 2019

Design and Shared Control of a Flexible Endoscope with Autonomous Distal Tip Alignment.
Proceedings of the 19th International Conference on Advanced Robotics, 2019

2018
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.
IEEE Trans. Medical Imaging, 2018

From a Disposable Ureteroscope to an Active Lightweight Fetoscope - Characterization and Usability Evaluation.
IEEE Robotics Autom. Lett., 2018

A magnetic resonance multi-atlas for the neonatal rabbit brain.
NeuroImage, 2018

Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging.
NeuroImage, 2018

Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections.
Medical Image Anal., 2018

Weakly-supervised convolutional neural networks for multimodal image registration.
Medical Image Anal., 2018

Haptic Guidance Based on All-Optical Ultrasound Distance Sensing for Safer Minimally Invasive Fetal Surgery.
J. Medical Robotics Res., 2018

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery.
CoRR, 2018

Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia.
CoRR, 2018

NiftyNet: a deep-learning platform for medical imaging.
Comput. Methods Programs Biomed., 2018

Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video.
Int. J. Comput. Assist. Radiol. Surg., 2018

Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.
Int. J. Comput. Assist. Radiol. Surg., 2018

Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy.
Int. J. Comput. Assist. Radiol. Surg., 2018

A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery.
Int. J. Comput. Assist. Radiol. Surg., 2018

A log-Euclidean and total variation based variational framework for computational sonography.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Technical note: automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Adversarial Deformation Regularization for Training Image Registration Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Label-driven weakly-supervised learning for multimodal deformarle image registration.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Forward-backward splitting in deformable image registration: A demons approach.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
A Continuum Robot and Control Interface for Surgical Assist in Fetoscopic Interventions.
IEEE Robotics Autom. Lett., 2017

Bruker2nifti: Magnetic Resonance Images converter from Bruker ParaVision to Nifti format.
J. Open Source Softw., 2017

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network.
CoRR, 2017

Label-driven weakly-supervised learning for multimodal deformable image registration.
CoRR, 2017

NiftyNet: a deep-learning platform for medical imaging.
CoRR, 2017

GIFT-Cloud: A data sharing and collaboration platform for medical imaging research.
Comput. Methods Programs Biomed., 2017

Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017

Template-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model Study.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Body wall force sensor for simulated minimally invasive surgery: Application to fetal surgery.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

ToolNet: Holistically-nested real-time segmentation of robotic surgical tools.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task.
Proceedings of the Information Processing in Medical Imaging, 2017

Refractive Structure-from-Motion Through a Flat Refractive Interface.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views.
Medical Image Anal., 2016

From computer-assisted intervention research to clinical impact: The need for a holistic approach.
Medical Image Anal., 2016

Real-time mosaicing of fetoscopic videos using SIFT.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016

Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking.
Proceedings of the Computer-Assisted and Robotic Endoscopy - Third International Workshop, 2016

Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016

A Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Motion-Aware Mosaicing for Confocal Laser Endomicroscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Fluidic actuation for intra-operative in situ imaging.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrieval.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Building Large Mosaics of Confocal Edomicroscopic Images Using Visual Servoing.
IEEE Trans. Biomed. Eng., 2013

A Viterbi Approach to Topology Inference for Large Scale Endomicroscopy Video Mosaicing.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval.
IEEE Trans. Medical Imaging, 2012

Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty.
Medical Image Anal., 2012

Online Blind Calibration of Non-uniform Photodetectors: Application to Endomicroscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Scanning the surface of soft tissues with a micrometer precision thanks to endomicroscopy based visual servoing.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge.
IEEE Trans. Medical Imaging, 2011

A smart atlas for endomicroscopy using automated video retrieval.
Medical Image Anal., 2011

Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2011

2010
Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex.
IEEE Trans. Medical Imaging, 2010

Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration.
IEEE Trans. Medical Imaging, 2010

Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

An Image Retrieval Approach to Setup Difficulty Levels in Training Systems for Endomicroscopy Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A System for Biopsy Site Re-targeting with Uncertainty in Gastroenterology and Oropharyngeal Examinations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Endomicroscopic video retrieval using mosaicing and visual words.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential.
IEEE Trans. Medical Imaging, 2009

Diffeomorphic demons: Efficient non-parametric image registration.
NeuroImage, 2009

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.
NeuroImage, 2009

Asymmetric Image-Template Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrieval.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009

Endomicroscopic Image Retrieval and Classification Using Invariant Visual Features.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Image registration and mosaicing for dynamic In vivo fibered confocal microscopy : Image Registration and Mosaicing for Dynamic In Vivo Fibered Confocal Microscopy. (Recalage et mosaïques d'images pour la microscopie confocale fibrée dynamique in vivo).
PhD thesis, 2008

Spherical Demons: Fast Surface Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

DTI registration with exact finite-strain differential.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Batch and Sequential Bayesian Estimators of the Number of Active Terminals in an IEEE 802.11 Network.
IEEE Trans. Signal Process., 2007

Hierarchical Forecasting of Web Server Workload Using Sequential Monte Carlo Training.
IEEE Trans. Signal Process., 2007

In Vivo Microscopy for Real-Time Structural and Functional Cellular Imaging.
ERCIM News, 2007

Non-parametric Diffeomorphic Image Registration with the Demons Algorithm.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Region Tracking Algorithms on Laser Scanning Devices Applied to Cell Traffic Analysis.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Insight into Efficient Image Registration Techniques and the Demons Algorithm.
Proceedings of the Information Processing in Medical Imaging, 2007

2006
Adaptive Optimization of IEEE 802.11 DCF Based on Bayesian Estimation of the Number of Competing Terminals.
IEEE Trans. Mob. Comput., 2006

Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy.
Medical Image Anal., 2006

2005
Decentralized sigma-point information filters for target tracking in collaborative sensor networks.
IEEE Trans. Signal Process., 2005

Joint multiple target tracking and classification in collaborative sensor networks.
IEEE J. Sel. Areas Commun., 2005

Mosaicing of Confocal Microscopic <i>In Vivo</i> Soft Tissue Video Sequences.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Online Bayesian estimation of hidden Markov models with unknown transition matrix and applications to IEEE 802.11 networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Optimizing IEEE 802.11 DCF using Bayesian estimators of the network state.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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