Tom Vercauteren
Orcid: 0000-0003-1794-0456Affiliations:
- University College London (UCL), UK
According to our database1,
Tom Vercauteren
authored at least 247 papers
between 2005 and 2025.
Collaborative distances:
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Bibliography
2025
UM-CAM: Uncertainty-weighted multi-resolution class activation maps for weakly-supervised segmentation.
Pattern Recognit., 2025
Medical Image Anal., 2025
2024
Enhancing surgical instrument segmentation: integrating vision transformer insights with adapter.
Int. J. Comput. Assist. Radiol. Surg., July, 2024
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Long-Term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker.
IEEE Trans. Biomed. Eng., March, 2024
Medical Image Anal., 2024
Medical Image Anal., 2024
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI.
Frontiers Comput. Neurosci., 2024
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations.
CoRR, 2024
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging.
CoRR, 2024
CoRR, 2024
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR, 2024
Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning.
CoRR, 2024
Collaborative human-robot surgery for Mandibular Angle Split Osteotomy: Optical tracking based approach.
Biomed. Signal Process. Control., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Label Merge-and-Split: A Graph-Colouring Approach for Memory-Efficient Brain Parcellation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
UltraAugment: Fan-shape and Artifact-based Data Augmentation for 2D Ultrasound Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging, December, 2023
Int. J. Comput. Assist. Radiol. Surg., September, 2023
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
CoRR, 2023
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma.
CoRR, 2023
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Learning-based sound speed reconstruction and aberration correction in linear-array photoacoustic/ultrasound imaging.
CoRR, 2023
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging.
Int. J. Comput. Assist. Radiol. Surg., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 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
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
J. Open Source Softw., November, 2022
IEEE Trans. Medical Imaging, 2022
Enhanced Photoacoustic Visualisation of Clinical Needles by Combining Interstitial and Extracorporeal Illumination of Elastomeric Nanocomposite Coatings.
Sensors, 2022
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
Frontiers Robotics AI, 2022
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
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
A Pareto front based methodology to better assess medical image registration algorithms.
Proceedings of the Medical Imaging 2022: Image Processing, 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
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022
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
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
IEEE Trans. Medical Imaging, 2021
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.
Medical Image Anal., 2021
Medical Image Anal., 2021
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.
Medical Image Anal., 2021
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
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
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
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
Dataset, November, 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
J. Open Source Softw., 2020
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
CoRR, 2020
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
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
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
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
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
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
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
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
Frontiers Robotics AI, 2019
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation.
Frontiers Comput. Neurosci., 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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
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
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
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
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
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
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
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
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
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017
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
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
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
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
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
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
IEEE Trans. Medical Imaging, 2011
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
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
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
IEEE Trans. Medical Imaging, 2009
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.
NeuroImage, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
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
ERCIM News, 2007
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
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
IEEE J. Sel. Areas Commun., 2005
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
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005