Optimizing IEEE 802.11 DCF using Bayesian estimators of the network state. - Alberto López Toledo; Tom Vercauteren; Xiaodong Wang 001 (ICASSP (5), 2005)

Online Bayesian estimation of hidden Markov models with unknown transition matrix and applications to IEEE 802.11 networks. - Tom Vercauteren; Alberto López Toledo; Xiaodong Wang 001 (ICASSP (4), 2005)

Mosaicing of Confocal Microscopic In Vivo Soft Tissue Video Sequences. - Tom Vercauteren; Aymeric Perchant; Xavier Pennec; Nicholas Ayache (MICCAI, 2005)

Joint multiple target tracking and classification in collaborative sensor networks. - Tom Vercauteren; Dong Guo 003; Xiaodong Wang 001 (IEEE J. Sel. Areas Commun., 2005)

Decentralized sigma-point information filters for target tracking in collaborative sensor networks. - Tom Vercauteren; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2005)

Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy. - Tom Vercauteren; Aymeric Perchant; Grégoire Malandain; Xavier Pennec; Nicholas Ayache (Medical Image Anal., 2006)

Adaptive Optimization of IEEE 802.11 DCF Based on Bayesian Estimation of the Number of Competing Terminals. - Alberto López Toledo; Tom Vercauteren; Xiaodong Wang 001 (IEEE Trans. Mob. Comput., 2006)

Insight into Efficient Image Registration Techniques and the Demons Algorithm. - Tom Vercauteren; Xavier Pennec; Ezio Malis; Aymeric Perchant; Nicholas Ayache (IPMI, 2007)

Region Tracking Algorithms on Laser Scanning Devices Applied to Cell Traffic Analysis. - Aymeric Perchant; Tom Vercauteren; Fabien Oberrietter; Nicolas Savoire; Nicholas Ayache (ISBI, 2007)

Non-parametric Diffeomorphic Image Registration with the Demons Algorithm. - Tom Vercauteren; Xavier Pennec; Aymeric Perchant; Nicholas Ayache (MICCAI (2), 2007)

In Vivo Microscopy for Real-Time Structural and Functional Cellular Imaging. - Tom Vercauteren; Aymeric Perchant; Nicholas Ayache (ERCIM News, 2007)

Hierarchical Forecasting of Web Server Workload Using Sequential Monte Carlo Training. - Tom Vercauteren; Pradeep Aggarwal; Xiaodong Wang 001; Ta-Hsin Li (IEEE Trans. Signal Process., 2007)

Batch and Sequential Bayesian Estimators of the Number of Active Terminals in an IEEE 802.11 Network. - Tom Vercauteren; Alberto López Toledo; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2007)

DTI registration with exact finite-strain differential. - B. T. Thomas Yeo; Tom Vercauteren; Pierre Fillard; Xavier Pennec; Polina Golland; Nicholas Ayache; Olivier Clatz (ISBI, 2008)

Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach. - Tom Vercauteren; Xavier Pennec; Aymeric Perchant; Nicholas Ayache (MICCAI (1), 2008)

Spherical Demons: Fast Surface Registration. - B. T. Thomas Yeo; Mert R. Sabuncu; Tom Vercauteren; Nicholas Ayache; Bruce Fischl; Polina Golland (MICCAI (1), 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). - Tom Vercauteren (2008)

Endomicroscopic Image Retrieval and Classification Using Invariant Visual Features. - Barbara André; Tom Vercauteren; Aymeric Perchant; Anna M. Buchner; Michael B. Wallace; Nicholas Ayache (ISBI, 2009)

Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrieval. - Barbara André; Tom Vercauteren; Aymeric Perchant; Anna M. Buchner; Michael B. Wallace; Nicholas Ayache (MCBR-CDS, 2009)

Asymmetric Image-Template Registration. - Mert R. Sabuncu; B. T. Thomas Yeo; Koen Van Leemput; Tom Vercauteren; Polina Golland (MICCAI (1), 2009)

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. - Arno Klein; Jesper L. R. Andersson; Babak A. Ardekani; John Ashburner; Brian B. Avants; Ming-Chang Chiang; Gary E. Christensen; D. Louis Collins; James C. Gee; Pierre Hellier; Joo Hyun Song; Mark Jenkinson; et al. (NeuroImage, 2009)

Diffeomorphic demons: Efficient non-parametric image registration. - Tom Vercauteren; Xavier Pennec; Aymeric Perchant; Nicholas Ayache (NeuroImage, 2009)

DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential. - B. T. Thomas Yeo; Tom Vercauteren; Pierre Fillard; Jean-Marc Peyrat; Xavier Pennec; Polina Golland; Nicholas Ayache; Olivier Clatz (IEEE Trans. Medical Imaging, 2009)

Endomicroscopic video retrieval using mosaicing and visual words. - Barbara André; Tom Vercauteren; Anna M. Buchner; Michael B. Wallace; Nicholas Ayache (ISBI, 2010)

A System for Biopsy Site Re-targeting with Uncertainty in Gastroenterology and Oropharyngeal Examinations. - Baptiste Allain; Mingxing Hu; Laurence B. Lovat; Richard J. Cook; Tom Vercauteren; Sébastien Ourselin; David J. Hawkes (MICCAI (2), 2010)

An Image Retrieval Approach to Setup Difficulty Levels in Training Systems for Endomicroscopy Diagnosis. - Barbara André; Tom Vercauteren; Anna M. Buchner; Muhammad Waseem Shahid; Michael B. Wallace; Nicholas Ayache (MICCAI (2), 2010)

Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images. - Marc Modat; Tom Vercauteren; Gerard R. Ridgway; David J. Hawkes; Nick C. Fox; Sébastien Ourselin (Image Processing, 2010)

Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration. - B. T. Thomas Yeo; Mert R. Sabuncu; Tom Vercauteren; Nicholas Ayache; Bruce Fischl; Polina Golland (IEEE Trans. Medical Imaging, 2010)

Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex. - B. T. Thomas Yeo; Mert R. Sabuncu; Tom Vercauteren; Daphne J. Holt; Katrin Amunts; Karl Zilles; Polina Golland; Bruce Fischl (IEEE Trans. Medical Imaging, 2010)

Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis. - Barbara André; Tom Vercauteren; Nicholas Ayache (MCBR-CDS, 2011)

Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos. - Barbara André; Tom Vercauteren; Anna M. Buchner; Michael B. Wallace; Nicholas Ayache (MICCAI (3), 2011)

A smart atlas for endomicroscopy using automated video retrieval. - Barbara André; Tom Vercauteren; Anna M. Buchner; Michael B. Wallace; Nicholas Ayache (Medical Image Anal., 2011)

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. - Keelin Murphy; Bram van Ginneken; Joseph M. Reinhardt; Sven Kabus; Kai Ding 003; Xiang Deng; Kunlin Cao; Kaifang Du; Gary E. Christensen; Vincent Garcia; Tom Vercauteren; Nicholas Ayache; et al. (IEEE Trans. Medical Imaging, 2011)

Scanning the surface of soft tissues with a micrometer precision thanks to endomicroscopy based visual servoing. - Benoit Rosa; Mustafa Suphi Erden; Tom Vercauteren; Jérôme Szewczyk; Guillaume Morel (IROS, 2012)

Online Blind Calibration of Non-uniform Photodetectors: Application to Endomicroscopy. - Nicolas Savoire; Barbara André; Tom Vercauteren (MICCAI (3), 2012)

Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty. - Baptiste Allain; Mingxing Hu; Laurence B. Lovat; Richard J. Cook; Tom Vercauteren; Sébastien Ourselin; David J. Hawkes (Medical Image Anal., 2012)

Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval. - Barbara André; Tom Vercauteren; Anna M. Buchner; Michael B. Wallace; Nicholas Ayache (IEEE Trans. Medical Imaging, 2012)

A Viterbi Approach to Topology Inference for Large Scale Endomicroscopy Video Mosaicing. - Jessie Mahé; Tom Vercauteren; Benoit Rosa; Julien Dauguet (MICCAI (1), 2013)

Building Large Mosaics of Confocal Edomicroscopic Images Using Visual Servoing. - Benoit Rosa; Mustafa Suphi Erden; Tom Vercauteren; Benoît Herman; Jérôme Szewczyk; Guillaume Morel (IEEE Trans. Biomed. Eng., 2013)

Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrieval. - Marzieh Kohandani Tafreshi; Nicolas Linard; Barbara André; Nicholas Ayache; Tom Vercauteren (MICCAI (1), 2014)

Fluidic actuation for intra-operative in situ imaging. - Alain Devreker; Benoit Rosa; Adrien E. Desjardins; Erwin J. Alles; Luis C. García-Peraza; Efthymios Maneas; Danail Stoyanov; Anna L. David; Tom Vercauteren; Jan Deprest; Sébastien Ourselin; Dominiek Reynaerts; et al. (IROS, 2015)

Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling. - Manuel Jorge Cardoso; Marc Modat; Tom Vercauteren; Sébastien Ourselin (MICCAI (2), 2015)

Motion-Aware Mosaicing for Confocal Laser Endomicroscopy. - Jessie Mahé; Nicolas Linard; Marzieh Kohandani Tafreshi; Tom Vercauteren; Nicholas Ayache; François Lacombe; Rémi Cuingnet (MICCAI (1), 2015)

A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels. - Gustavo Sato dos Santos; Efthymios Maneas; Daniil I. Nikitichev; Anamaria Barburas; Anna L. David; Jan Deprest; Adrien E. Desjardins; Tom Vercauteren; Sébastien Ourselin (MICCAI (1), 2015)

Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (MICCAI (3), 2015)

Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries. - Wenfeng Xia 001; Efthymios Maneas; Daniil I. Nikitichev; Charles A. Mosse; Gustavo Sato dos Santos; Tom Vercauteren; Anna L. David; Jan Deprest; Sébastien Ourselin; Paul C. Beard; Adrien E. Desjardins (MICCAI (1), 2015)

Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration. - Sebastiano Ferraris; Marco Lorenzi; Pankaj Daga; Marc Modat; Tom Vercauteren (CVPR Workshops, 2016)

A Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy. - Marcel Tella-Amo; Pankaj Daga; François Chadebecq; Stephen A. Thompson; Dzhoshkun I. Shakir; George Dwyer; Ruwan Wimalasundera; Jan Deprest; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin (CVPR Workshops, 2016)

Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution. - Michael Ebner; Manil Chouhan; Premal A. Patel; David Atkinson; Zahir Amin; Samantha Read; Shonit Punwani; Stuart Taylor; Tom Vercauteren; Sébastien Ourselin (RAMBO+HVSMR@MICCAI, 2016)

Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking. - Luis C. García-Peraza-Herrera; Wenqi Li 001; Caspar Gruijthuijsen; Alain Devreker; George Attilakos; Jan Deprest; Emmanuel B. Vander Poorten; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin (CARE@MICCAI, 2016)

Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery. - Martin Kochan; Marc Modat; Tom Vercauteren; Mark White 001; Laura Mancini; Gavin P. Winston; Andrew W. McEvoy; John S. Thornton; Tarek A. Yousry; John S. Duncan; Sébastien Ourselin; Danail Stoyanov (MICCAI (3), 2016)

Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Tom Doel; Maria Klusmann; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (MICCAI (2), 2016)

Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients. - Maria A. Zuluaga; Benedetta Biffi; Andrew Mayall Taylor; Silvia Schievano; Tom Vercauteren; Sébastien Ourselin (RAMBO+HVSMR@MICCAI, 2016)

Real-time mosaicing of fetoscopic videos using SIFT. - Pankaj Daga; François Chadebecq; Dzhoshkun I. Shakir; Luis Carlos García-Peraza-Herrera; Marcel Tella; George Dwyer; Anna L. David; Jan Deprest; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin (Image-Guided Procedures, 2016)

From computer-assisted intervention research to clinical impact: The need for a holistic approach. - Sébastien Ourselin; Mark Emberton; Tom Vercauteren (Medical Image Anal., 2016)

Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Tom Doel; Maria Klusmann; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (Medical Image Anal., 2016)

Refractive Structure-from-Motion Through a Flat Refractive Interface. - François Chadebecq; Francisco Vasconcelos 001; George Dwyer; Rene M. Lacher; Sébastien Ourselin; Tom Vercauteren; Danail Stoyanov (ICCV, 2017)

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. - Wenqi Li 001; Guotai Wang; Lucas Fidon; Sébastien Ourselin; M. Jorge Cardoso; Tom Vercauteren (IPMI, 2017)

ToolNet: Holistically-nested real-time segmentation of robotic surgical tools. - Luis C. García-Peraza-Herrera; Wenqi Li 001; Lucas Fidon; Caspar Gruijthuijsen; Alain Devreker; George Attilakos; Jan Deprest; Emmanuel B. Vander Poorten; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin (IROS, 2017)

Body wall force sensor for simulated minimally invasive surgery: Application to fetal surgery. - Allan Javaux; Laure Esteveny; David Bouget; Caspar Gruijthuijsen; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin; Dominiek Reynaerts; Kathleen Denis; Jan Deprest; Emmanuel B. Vander Poorten (IROS, 2017)

Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation. - Lucas Fidon; Wenqi Li 001; Luis C. García-Peraza-Herrera; Jinendra Ekanayake; Neil Kitchen; Sébastien Ourselin; Tom Vercauteren (MICCAI (3), 2017)

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks. - Lucas Fidon; Wenqi Li 001; Luis C. García-Peraza-Herrera; Jinendra Ekanayake; Neil Kitchen; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI, 2017)

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks. - Yipeng Hu; Eli Gibson; Li-Lin Lee; Weidi Xie; Dean C. Barratt; Tom Vercauteren; J. Alison Noble (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. - Yipeng Hu; Eli Gibson; Tom Vercauteren; Hashim Uddin Ahmed; Mark Emberton; Caroline M. Moore; J. Alison Noble; Dean C. Barratt (MICCAI (2), 2017)

Template-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model Study. - Juan Eugenio Iglesias; Sebastiano Ferraris; Marc Modat; Willy Gsell; Jan Deprest; Johannes L. van der Merwe; Tom Vercauteren (FIFI/OMIA@MICCAI, 2017)

Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients. - Marta Bianca Maria Ranzini; Michael Ebner; M. Jorge Cardoso; Anastasia Fotiadou; Tom Vercauteren; Johann Henckel; Alister Hart; Sébastien Ourselin; Marc Modat (MSKI@MICCAI, 2017)

Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations. - Carole H. Sudre; Wenqi Li 001; Tom Vercauteren; Sébastien Ourselin; M. Jorge Cardoso (DLMIA/ML-CDS@MICCAI, 2017)

Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks. - Guotai Wang; Wenqi Li 001; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI, 2017)

GIFT-Cloud: A data sharing and collaboration platform for medical imaging research. - Tom Doel; Dzhoshkun I. Shakir; Rosalind Pratt; Michael Aertsen; James Moggridge; Erwin Bellon; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (Comput. Methods Programs Biomed., 2017)

NiftyNet: a deep-learning platform for medical imaging. - Eli Gibson; Wenqi Li 001; Carole H. Sudre; Lucas Fidon; Dzhoshkun I. Shakir; Guotai Wang; Zach Eaton-Rosen; Robert J. Gray; Tom Doel; Yipeng Hu; Tom Whyntie; Parashkev Nachev; et al. (CoRR, 2017)

Label-driven weakly-supervised learning for multimodal deformable image registration. - Yipeng Hu; Marc Modat; Eli Gibson; Nooshin Ghavami; Ester Bonmati; Caroline M. Moore; Mark Emberton; J. Alison Noble; Dean C. Barratt; Tom Vercauteren (CoRR, 2017)

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network. - Ester Bonmati; Yipeng Hu; Nikhil Sindhwani; Hans Peter Dietz; Jan D'hooge; Dean C. Barratt; Jan Deprest; Tom Vercauteren (CoRR, 2017)

Bruker2nifti: Magnetic Resonance Images converter from Bruker ParaVision to Nifti format. - Sebastiano Ferraris; Dzhoshkun Ismail Shakir; Johannes L. van der Merwe; Willy Gsell; Jan Deprest; Tom Vercauteren (J. Open Source Softw., 2017)

A Continuum Robot and Control Interface for Surgical Assist in Fetoscopic Interventions. - George Dwyer; François Chadebecq; Marcel Tella-Amo; Christos Bergeles; Efthymios Maneas; Vijay Pawar; Emmanuel B. Vander Poorten; Jan Deprest; Sébastien Ourselin; Paolo De Coppi; Tom Vercauteren; Danail Stoyanov (IEEE Robotics Autom. Lett., 2017)

Forward-backward splitting in deformable image registration: A demons approach. - Michael Ebner; Marc Modat; Sebastiano Ferraris; Sébastien Ourselin; Tom Vercauteren (ISBI, 2018)

Label-driven weakly-supervised learning for multimodal deformarle image registration. - Yipeng Hu; Marc Modat; Eli Gibson; Nooshin Ghavami; Ester Bonmati; Caroline M. Moore; Mark Emberton; J. Alison Noble; Dean C. Barratt; Tom Vercauteren (ISBI, 2018)

MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency. - Rosalind Aughwane; Magdalena J. Sokolska; Alan Bainbridge; David Atkinson; Giles S. Kendall; Jan Deprest; Tom Vercauteren; Anna L. David; Sébastien Ourselin; Andrew Melbourne (MICCAI (2), 2018)

Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach. - David Drobny; Tom Vercauteren; Sébastien Ourselin; Marc Modat (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. - Michael Ebner; Guotai Wang; Wenqi Li 001; Michael Aertsen; Premal A. Patel; Rosalind Aughwane; Andrew Melbourne; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (MICCAI (1), 2018)

Adversarial Deformation Regularization for Training Image Registration Neural Networks. - Yipeng Hu; Eli Gibson; Nooshin Ghavami; Ester Bonmati; Caroline M. Moore; Mark Emberton; Tom Vercauteren; J. Alison Noble; Dean C. Barratt (MICCAI (1), 2018)

Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. - Juan Eugenio Iglesias; Marco Lorenzi; Sebastiano Ferraris; Loïc Peter; Marc Modat; Allison Stevens; Bruce Fischl; Tom Vercauteren (MICCAI (2), 2018)

Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation. - Guotai Wang; Wenqi Li 001; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI (2), 2018)

Technical note: automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network. - Ester Bonmati; Yipeng Hu; Nikhil Sindhwani; Hans Peter Dietz; Jan D'hooge; Dean C. Barratt; Jan Deprest; Tom Vercauteren (Image-Guided Procedures, 2018)

Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy. - Marcel Tella-Amo; Loïc Peter; Dzhoshkun I. Shakir; Jan Deprest; Danail Stoyanov; Juan Eugenio Iglesias; Tom Vercauteren; Sébastien Ourselin (Image-Guided Procedures, 2018)

A log-Euclidean and total variation based variational framework for computational sonography. - Jyotirmoy Banerjee; Premal A. Patel; Fred Ushakov; Donald Peebles; Jan Deprest; Sébastien Ourselin; David J. Hawkes; Tom Vercauteren (Image Processing, 2018)

A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery. - Allan Javaux; David Bouget; Caspar Gruijthuijsen; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin; Jan Deprest; Kathleen Denis; Emmanuel B. Vander Poorten (Int. J. Comput. Assist. Radiol. Surg., 2018)

Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. - Loïc Peter; Marcel Tella-Amo; Dzhoshkun Ismail Shakir; George Attilakos; Ruwan Wimalasundera; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2018)

Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. - Daniele Ravì; Agnieszka Barbara Szczotka; Dzhoshkun Ismail Shakir; Stephen P. Pereira; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2018)

Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video. - Francisco Vasconcelos 001; Patrick Brandao; Tom Vercauteren; Sébastien Ourselin; Jan Deprest; Donald Peebles; Danail Stoyanov (Int. J. Comput. Assist. Radiol. Surg., 2018)

NiftyNet: a deep-learning platform for medical imaging. - Eli Gibson; Wenqi Li 001; Carole H. Sudre; Lucas Fidon; Dzhoshkun I. Shakir; Guotai Wang; Zach Eaton-Rosen; Robert J. Gray; Tom Doel; Yipeng Hu; Tom Whyntie; Parashkev Nachev; et al. (Comput. Methods Programs Biomed., 2018)

Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia. - Luis C. García-Peraza-Herrera; Martin Everson; Wenqi Li 001; Inmanol Luengo; Lorenz Berger; Omer F. Ahmad; Laurence B. Lovat; Hsiu-Po Wang; Wen-Lun Wang; Rehan J. Haidry; Danail Stoyanov; Tom Vercauteren; et al. (CoRR, 2018)

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery. - Sebastian Bodenstedt; Max Allan; Anthony Agustinos; Xiaofei Du 001; Luis C. García-Peraza-Herrera; Hannes Kenngott; Thomas Kurmann; Beat P. Müller-Stich; Sébastien Ourselin; Daniil Pakhomov; Raphael Sznitman; Marvin Teichmann; et al. (CoRR, 2018)

Haptic Guidance Based on All-Optical Ultrasound Distance Sensing for Safer Minimally Invasive Fetal Surgery. - Caspar Gruijthuijsen; Richard J. Colchester; Alain Devreker; Allan Javaux; Efthymios Maneas; Sacha Noimark; Wenfeng Xia 001; Danail Stoyanov; Dominiek Reynaerts; Jan Deprest; Sébastien Ourselin; Adrien E. Desjardins; et al. (J. Medical Robotics Res., 2018)

Weakly-supervised convolutional neural networks for multimodal image registration. - Yipeng Hu; Marc Modat; Eli Gibson; Wenqi Li 001; Nooshin Ghavami; Ester Bonmati; Guotai Wang; Steven Bandula; Caroline M. Moore; Mark Emberton; Sébastien Ourselin; J. Alison Noble; et al. (Medical Image Anal., 2018)

Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. - Juan Eugenio Iglesias; Marc Modat; Loïc Peter; Allison Stevens; Roberto Annunziata; Tom Vercauteren; Ed S. Lein; Bruce Fischl; Sébastien Ourselin (Medical Image Anal., 2018)

Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging. - Michael Ebner; Karen K. Chung; Ferran Prados; M. Jorge Cardoso; Declan T. Chard; Tom Vercauteren; Sébastien Ourselin (NeuroImage, 2018)

A magnetic resonance multi-atlas for the neonatal rabbit brain. - Sebastiano Ferraris; Johannes L. van der Merwe; Lennart Van Der Veeken; Ferran Prados; Juan Eugenio Iglesias; Andrew Melbourne; Marco Lorenzi; Marc Modat; Willy Gsell; Jan Deprest; Tom Vercauteren (NeuroImage, 2018)

From a Disposable Ureteroscope to an Active Lightweight Fetoscope - Characterization and Usability Evaluation. - Julie Legrand; Mouloud Ourak; Allan Javaux; Caspar Gruijthuijsen; Mirza Awais Ahmad; Ben Van Cleynenbreugel; Tom Vercauteren; Jan Deprest; Sébastien Ourselin; Emmanuel B. Vander Poorten (IEEE Robotics Autom. Lett., 2018)

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. - Guotai Wang; Wenqi Li 001; Maria A. Zuluaga; Rosalind Pratt; Premal A. Patel; Michael Aertsen; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (IEEE Trans. Medical Imaging, 2018)

Design and Shared Control of a Flexible Endoscope with Autonomous Distal Tip Alignment. - Mirza Awais Ahmad; Mouloud Ourak; Caspar Gruijthuijsen; Julie Legrand; Tom Vercauteren; Jan Deprest; Sébastien Ourselin; Emmanuel B. Vander Poorten (ICAR, 2019)

Robotic Control of a Multi-Modal Rigid Endoscope Combining Optical Imaging with All-Optical Ultrasound. - George Dwyer; Richard J. Colchester; Erwin J. Alles; Efthymios Maneas; Sébastien Ourselin; Tom Vercauteren; Jan Deprest; Emmanuel B. Vander Poorten; Paolo De Coppi; Adrien E. Desjardins; Danail Stoyanov (ICRA, 2019)

Macro-Micro Multi-Arm Robot for Single-Port Access Surgery. - T. Vandebroek; Mouloud Ourak; Caspar Gruijthuijsen; Allan Javaux; Julie Legrand; Tom Vercauteren; Sébastien Ourselin; Jan Deprest; Emmanuel B. Vander Poorten (IROS, 2019)

Quantifying the Intra-Operative Hemodynamic Effects of Glue Embolization in Vein of Galen Malformations. - Premal A. Patel; Dimitra Flouri; Adam Rennie; Fergus Robertson; Lauren Davies; Vijeya Ganesan; Sanjay Bhate; Paolo De Coppi; Tom Vercauteren; Andrew Melbourne (ISBI, 2019)

Deep Sequential Mosaicking of Fetoscopic Videos. - Sophia Bano; Francisco Vasconcelos 001; Marcel Tella-Amo; George Dwyer; Caspar Gruijthuijsen; Jan Deprest; Sébastien Ourselin; Emmanuel B. Vander Poorten; Tom Vercauteren; Danail Stoyanov (MICCAI (1), 2019)

Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. - Reuben Dorent; Samuel Joutard; Marc Modat; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2019)

Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set. - David Drobny; Marta Ranzini; Sébastien Ourselin; Tom Vercauteren; Marc Modat (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Incompressible Image Registration Using Divergence-Conforming B-Splines. - Lucas Fidon; Michael Ebner; Luis C. García-Peraza-Herrera; Marc Modat; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2019)

Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling. - Dimitra Flouri; David Owen 001; Rosalind Aughwane; Nada Mufti; Magdalena J. Sokolska; David Atkinson; Giles S. Kendall; Alan Bainbridge; Tom Vercauteren; Anna L. David; Sébastien Ourselin; Andrew Melbourne (MICCAI (3), 2019)

Conditional Segmentation in Lieu of Image Registration. - Yipeng Hu; Eli Gibson; Dean C. Barratt; Mark Emberton; J. Alison Noble; Tom Vercauteren (MICCAI (2), 2019)

Permutohedral Attention Module for Efficient Non-local Neural Networks. - Samuel Joutard; Reuben Dorent; Amanda Isaac; Sébastien Ourselin; Tom Vercauteren; Marc Modat (MICCAI (6), 2019)

Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning. - Kerstin Kläser 002; Thomas Varsavsky; Pawel Markiewicz; Tom Vercauteren; David Atkinson; Kris Thielemans; Brian F. Hutton; M. Jorge Cardoso; Sébastien Ourselin (SASHIMI@MICCAI, 2019)

Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI. - Daniel Sobotka; Roxane Licandro; Michael Ebner; Ernst Schwartz; Tom Vercauteren; Sébastien Ourselin; Gregor Kasprian; Daniela Prayer; Georg Langs (SUSI/PIPPI@MICCAI, 2019)

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. - Guotai Wang; Jonathan Shapey; Wenqi Li 001; Reuben Dorent; Alex Demitriadis; Sotirios Bisdas; Ian Paddick; Robert Bradford; Shaoting Zhang 001; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2019)

Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. - Reuben Dorent; Wenqi Li 001; Jinendra Ekanayake; Sébastien Ourselin; Tom Vercauteren (MIDL, 2019)

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. - Guotai Wang; Jonathan Shapey; Wenqi Li 001; Reuben Dorent; Alex Demitriadis; Sotirios Bisdas; Ian Paddick; Robert Bradford; Sébastien Ourselin; Tom Vercauteren (CoRR, 2019)

Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. - M. Jorge Cardoso; Aasa Feragen; Ben Glocker; Ender Konukoglu; Ipek Oguz; Gozde B. Unal; Tom Vercauteren (CoRR, 2019)

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation. - Guotai Wang; Wenqi Li 001; Sébastien Ourselin; Tom Vercauteren (Frontiers Comput. Neurosci., 2019)

Handheld Active Add-On Control Unit for a Cable-Driven Flexible Endoscope. - Julie Legrand; Allan Javaux; Mouloud Ourak; Dirk Wenmakers; Tom Vercauteren; Jan Deprest; Sébastien Ourselin; Kathleen Denis; Emmanuel B. Vander Poorten (Frontiers Robotics AI, 2019)

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. - Guotai Wang; Wenqi Li 001; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (Neurocomputing, 2019)

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. - Daniele Ravì; Agnieszka Barbara Szczotka; Stephen P. Pereira; Tom Vercauteren (Medical Image Anal., 2019)

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. - Guotai Wang; Maria A. Zuluaga; Wenqi Li 001; Rosalind Pratt; Premal A. Patel; Michael Aertsen; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Evaluation of Haptic Feedback on Bimanually Teleoperated Laparoscopy for Endometriosis Surgery. - Sergio Portolés Diez; Gianni Borghesan; Luc Joyeux; Christel Meuleman; Jan Deprest; Danail Stoyanov; Sébastien Ourselin; Tom Vercauteren; Dominiek Reynaerts; Emmanuel B. Vander Poorten (IEEE Trans. Biomed. Eng., 2019)

Active Handheld Flexible Fetoscope-Design and Control Based on a Modified Generalized Prandtl-Ishlinski Model. - Julie Legrand; Dries Dirckx; Maarten Durt; Mouloud Ourak; Jan Deprest; Sébastien Ourselin; Jun Qian; Tom Vercauteren; Emmanuel B. Vander Poorten (AIM, 2020)

Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge. - Lucas Fidon; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI (2), 2020)

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking. - Sophia Bano; Francisco Vasconcelos 001; Luke M. Shepherd; Emmanuel B. Vander Poorten; Tom Vercauteren; Sébastien Ourselin; Anna L. David; Jan Deprest; Danail Stoyanov (MICCAI (3), 2020)

An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation. - Rémi Delaunay; Yipeng Hu; Tom Vercauteren (MICCAI (3), 2020)

Scribble-Based Domain Adaptation via Co-segmentation. - Reuben Dorent; Samuel Joutard; Jonathan Shapey; Sotirios Bisdas; Neil Kitchen; Robert Bradford; Shakeel R. Saeed; Marc Modat; Sébastien Ourselin; Tom Vercauteren (MICCAI (1), 2020)

Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth. - Hassna Irzan; Lucas Fidon; Tom Vercauteren; Sébastien Ourselin; Neil Marlow; Andrew Melbourne (UNSURE/GRAIL@MICCAI, 2020)

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. - Guotai Wang; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (MICCAI (4), 2020)

Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound. - Helena Williams; Laura Cattani; Mohammad Yaqub; Carole H. Sudre; Tom Vercauteren; Jan Deprest; Jan D'hooge (ASMUS/PIPPI@MICCAI, 2020)

Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination. - Qianye Yang; Yunguan Fu; Francesco Giganti; Nooshin Ghavami; Qingchao Chen; J. Alison Noble; Tom Vercauteren; Dean C. Barratt; Yipeng Hu (MICCAI (3), 2020)

Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework. - David Drobny; Marta Ranzini; Amanda Isaac; Tom Vercauteren; Sébastien Ourselin; David Choi; Marc Modat (WBIR, 2020)

Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy. - Mirza Awais Ahmad; Mouloud Ourak; Caspar Gruijthuijsen; Jan Deprest; Tom Vercauteren; Emmanuel B. Vander Poorten (Int. J. Comput. Assist. Radiol. Surg., 2020)

FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos. - Sophia Bano; Francisco Vasconcelos 001; Emmanuel B. Vander Poorten; Tom Vercauteren; Sébastien Ourselin; Jan Deprest; Danail Stoyanov (Int. J. Comput. Assist. Radiol. Surg., 2020)

Deep learning-based fetoscopic mosaicking for field-of-view expansion. - Sophia Bano; Francisco Vasconcelos 001; Marcel Tella-Amo; George Dwyer; Caspar Gruijthuijsen; Emmanuel B. Vander Poorten; Tom Vercauteren; Sébastien Ourselin; Jan Deprest; Danail Stoyanov (Int. J. Comput. Assist. Radiol. Surg., 2020)

Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology. - Luis C. García-Peraza-Herrera; Martin Everson; Laurence B. Lovat; Hsiu-Po Wang; Wen-Lun Wang; Rehan J. Haidry; Danail Stoyanov; Sébastien Ourselin; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2020)

Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI. - Hari McGrath; Peichao Li; Reuben Dorent; Robert Bradford; Shakeel R. Saeed; Sotirios Bisdas; Sébastien Ourselin; Jonathan Shapey; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2020)

Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches. - Agnieszka Barbara Szczotka; Dzhoshkun Ismail Shakir; Daniele Ravì; Matthew J. Clarkson; Stephen P. Pereira; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2020)

Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation. - Marta Bianca Maria Ranzini; Johann Henckel; Michael Ebner; M. Jorge Cardoso; Amanda Isaac; Tom Vercauteren; Sébastien Ourselin; Alister Hart; Marc Modat (Comput. Methods Programs Biomed., 2020)

SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning. - Lucas Fidon; Sébastien Ourselin; Tom Vercauteren (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. - Sofie Tilborghs; Ine Dirks; Lucas Fidon; Siri Willems; Tom Eelbode; Jeroen Bertels; Bart Ilsen; Arne Brys; Adriana Dubbeldam; Nico Buls; Panagiotis Gonidakis; Sebastián Amador Sánchez; et al. (CoRR, 2020)

Introduction to Medical Image Registration with DeepReg, Between Old and New. - Nina Montaña Brown; Yunguan Fu; Shaheer U. Saeed; Adrià Casamitjana; Zachary M. C. Baum; Rémi Delaunay; Qianye Yang; Alex Grimwood; Zhe Min; Ester Bonmati; Tom Vercauteren; Matthew J. Clarkson; et al. (CoRR, 2020)

High-throughput molecular imaging via deep learning enabled Raman spectroscopy. - Conor C. Horgan; Magnus Jensen; Anika Nagelkerke; Jean-Phillipe St-Pierre; Tom Vercauteren; Molly M. Stevens; Mads S. Bergholt (CoRR, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications. - Loïc Peter; Marcel Tella-Amo; Dzhoshkun Ismail Shakir; Jan Deprest; Sébastien Ourselin; Juan Eugenio Iglesias; Tom Vercauteren (CoRR, 2020)

Refractive Two-View Reconstruction for Underwater 3D Vision. - François Chadebecq; Francisco Vasconcelos 001; Rene M. Lacher; Efthymios Maneas; Adrien E. Desjardins; Sébastien Ourselin; Tom Vercauteren; Danail Stoyanov (Int. J. Comput. Vis., 2020)

DeepReg: a deep learning toolkit for medical image registration. - Yunguan Fu; Nina Montaña Brown; Shaheer U. Saeed; Adrià Casamitjana; Zachary Baum; Rémi Delaunay; Qianye Yang; Alexander Grimwood; Zhe Min; Stefano B. Blumberg; Juan Eugenio Iglesias; Dean C. Barratt; et al. (J. Open Source Softw., 2020)

Image computing for fibre-bundle endomicroscopy: A review. - Antonios Perperidis; Kevin Dhaliwal; Stephen McLaughlin 001; Tom Vercauteren (Medical Image Anal., 2020)

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. - Michael Ebner; Guotai Wang; Wenqi Li 001; Michael Aertsen; Premal A. Patel; Rosalind Aughwane; Andrew Melbourne; Tom Doel; Steven Dymarkowski; Paolo De Coppi; Anna L. David; Jan Deprest; et al. (NeuroImage, 2020)

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions. - Tom Vercauteren; Mathias Unberath; Nicolas Padoy; Nassir Navab (Proc. IEEE, 2020)

DeepReg: a deep learning toolkit for medical image registration. - Yunguan Fu; Nina Montaña Brown; Shaheer U. Saeed; Adrià Casamitjana; Zachary M. C. Baum; Rémi Delaunay; Qianye Yang; Alexander Grimwood; Zhe Min; Stefano B. Blumberg; Juan Eugenio Iglesias; Dean C. Barratt; et al. (Zenodo, 2020)

Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge. - Lucas Fidon; Suprosanna Shit; Ivan Ezhov; Johannes C. Paetzold; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI (2), 2021)

Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation. - Qianye Yang; Tom Vercauteren; Yunguan Fu; Francesco Giganti; Nooshin Ghavami; Vasilis Stavrinides; Caroline M. Moore; Matthew J. Clarkson; Dean C. Barratt; Yipeng Hu (ISBI, 2021)

Homography-based Visual Servoing with Remote Center of Motion for Semi-autonomous Robotic Endoscope Manipulation. - Martin Huber; John Bason Mitchell; Ross Henry; Sébastien Ourselin; Tom Vercauteren; Christos Bergeles (ISMR, 2021)

Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation. - Reuben Dorent; Samuel Joutard; Jonathan Shapey; Aaron Kujawa; Marc Modat; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2021)

Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. - Lucas Fidon; Michael Aertsen; Doaa Emam; Nada Mufti; Frédéric Guffens; Thomas Deprest; Philippe Demaerel; Anna L. David; Andrew Melbourne; Sébastien Ourselin; Jan Deprest; Tom Vercauteren (MICCAI (2), 2021)

Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. - Lucas Fidon; Michael Aertsen; Nada Mufti; Thomas Deprest; Doaa Emam; Frédéric Guffens; Ernst Schwartz; Michael Ebner; Daniela Prayer; Gregor Kasprian; Anna L. David; Andrew Melbourne; et al. (UNSURE/PIPPI@MICCAI, 2021)

Intra-operative OCT (iOCT) Image Quality Enhancement: A Super-Resolution Approach Using High Quality iOCT 3D Scans. - Charalampos Komninos; Theodoros Pissas; Blanca Flores; Edward Bloch; Tom Vercauteren; Sébastien Ourselin; Lyndon Da Cruz; Christos Bergeles (OMIA@MICCAI, 2021)

Automatic Tomographic Ultrasound Imaging Sequence Extraction of the Anal Sphincter. - Helena Williams; Laura Cattani; Tom Vercauteren; Jan Deprest; Jan D'hooge (ASMUS@MICCAI, 2021)

Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces. - Helena Williams; João Pedrosa; Laura Cattani; Susanne Housmans; Tom Vercauteren; Jan Deprest; Jan D'hooge (MICCAI (1), 2021)

A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. - Fernando Pérez-García; Reuben Dorent; Michele Rizzi; Francesco Cardinale; Valerio Frazzini; Vincent Navarro; Caroline Essert; Irène Ollivier; Tom Vercauteren; Rachel Sparks; John S. Duncan; Sébastien Ourselin (Int. J. Comput. Assist. Radiol. Surg., 2021)

Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware. - Jonathan Shapey; Thomas Dowrick; Rémi Delaunay; Eleanor C. Mackle; Stephen A. Thompson; Mirek Janatka; Roland Guichard; Anastasis Georgoulas; David Pérez-Suárez; Robert Bradford; Shakeel R. Saeed; Sébastien Ourselin; et al. (Int. J. Comput. Assist. Radiol. Surg., 2021)

MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation. - Marta Bianca Maria Ranzini; Lucas Fidon; Sébastien Ourselin; Marc Modat; Tom Vercauteren (CoRR, 2021)

Inter Extreme Points Geodesics for Weakly Supervised Segmentation. - Reuben Dorent; Samuel Joutard; Jonathan Shapey; Aaron Kujawa; Marc Modat; Sébastien Ourselin; Tom Vercauteren (CoRR, 2021)

Autonomous Robotic Endoscope Control based on Semantically Rich Instructions. - Caspar Gruijthuijsen; Luis C. García-Peraza-Herrera; Gianni Borghesan; Dominiek Reynaerts; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Emmanuel B. Vander Poorten (CoRR, 2021)

Partial supervision for the FeTA challenge 2021. - Lucas Fidon; Michael Aertsen; Suprosanna Shit; Philippe Demaerel; Sébastien Ourselin; Jan Deprest; Tom Vercauteren (CoRR, 2021)

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. - Reuben Dorent; Thomas C. Booth; Wenqi Li 001; Carole H. Sudre; Sina Kafiabadi; Manuel Jorge Cardoso; Sébastien Ourselin; Tom Vercauteren (Medical Image Anal., 2021)

Imitation learning for improved 3D PET/MR attenuation correction. - Kerstin Kläser 002; Thomas Varsavsky; Pawel Markiewicz; Tom Vercauteren; Alexander Hammers; David Atkinson; Kris Thielemans; Brian F. Hutton; Manuel Jorge Cardoso; Sébastien Ourselin (Medical Image Anal., 2021)

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. - Xiangde Luo; Guotai Wang; Tao Song 002; Jingyang Zhang; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (Medical Image Anal., 2021)

Image Compositing for Segmentation of Surgical Tools Without Manual Annotations. - Luis C. García-Peraza-Herrera; Lucas Fidon; Claudia D'Ettorre; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin (IEEE Trans. Medical Imaging, 2021)

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. - Ran Gu; Guotai Wang; Tao Song 002; Rui Huang 001; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2021)

Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy. - Agnieszka Barbara Szczotka; Dzhoshkun Ismail Shakir; Matthew J. Clarkson; Stephen P. Pereira; Tom Vercauteren (IEEE Trans. Medical Imaging, 2021)

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. - Florian Kofler; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Ezequiel de la Rosa; John LaMaster; Hongwei Li 004; Tom Finck; Suprosanna Shit; Johannes C. Paetzold; Spyridon Bakas; Marie Piraud; et al. (BrainLes@MICCAI, 2022)

ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction. - Christopher E. Mower; Theodoros Stouraitis; João Moura 003; Christian Rauch 002; Lei Yan 011; Nazanin Zamani Behabadi; Michael Gienger; Tom Vercauteren; Christos Bergeles; Sethu Vijayakumar (CoRL, 2022)

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. - Andres Diaz-Pinto; Pritesh Mehta; Sachidanand Alle; Muhammad Asad 001; Richard Brown 004; Vishwesh Nath; Alvin Ihsani; Michela Antonelli; Daniel Palkovics; Csaba Pinter; Ron Alkalay; Steve Pieper 001; et al. (DALI@MICCAI, 2022)

Can Segmentation Models Be Trained with Fully Synthetically Generated Data? - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Petru-Daniel Tudosiu; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso (SASHIMI@MICCAI, 2022)

Driving Points Prediction for Abdominal Probabilistic Registration. - Samuel Joutard; Reuben Dorent; Sébastien Ourselin; Tom Vercauteren; Marc Modat (MLMI@MICCAI, 2022)

Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans. - Charalampos Komninos; Theodoros Pissas; Blanca Flores; Edward Bloch; Tom Vercauteren; Sébastien Ourselin; Lyndon Da Cruz; Christos Bergeles (OMIA@MICCAI, 2022)

Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. - Navodini Wijethilake; Aaron Kujawa; Reuben Dorent; Muhammad Asad 001; Anna Oviedova; Tom Vercauteren; Jonathan Shapey (MLCN@MICCAI, 2022)

ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation. - Muhammad Asad 001; Lucas Fidon; Tom Vercauteren (MIDL, 2022)

A Pareto front based methodology to better assess medical image registration algorithms. - Samuel Joutard; Reuben Dorent; Tom Vercauteren; Marc Modat (Image Processing, 2022)

A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration. - Samuel Joutard; Thomas S. Pheiffer; Chloé Audigier; Patrick Wohlfahrt; Reuben Dorent; Sebastien Piat; Tom Vercauteren; Marc Modat; Tommaso Mansi (WBIR, 2022)

Surgical biomicroscopy-guided intra-operative optical coherence tomography (iOCT) image super-resolution. - Charalampos Komninos; Theodoros Pissas; Lina Mekki; Blanca Flores; Edward Bloch; Tom Vercauteren; Sébastien Ourselin; Lyndon Da Cruz; Christos Bergeles (Int. J. Comput. Assist. Radiol. Surg., 2022)

Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction. - Martin Huber; Sébastien Ourselin; Christos Bergeles; Tom Vercauteren (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction. - Peichao Li; Michael Ebner; Philip J. Noonan; Conor C. Horgan; Anisha Bahl; Sébastien Ourselin; Jonathan Shapey; Tom Vercauteren (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. - Andres Diaz-Pinto; Sachidanand Alle; Alvin Ihsani; Muhammad Asad 001; Vishwesh Nath; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Holger R. Roth; Tom Vercauteren; Daguang Xu; Prerna Dogra; et al. (CoRR, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Robotic Endoscope Control Via Autonomous Instrument Tracking. - Caspar Gruijthuijsen; Luis C. García-Peraza-Herrera; Gianni Borghesan; Dominiek Reynaerts; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Emmanuel B. Vander Poorten (Frontiers Robotics AI, 2022)

Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. - Adrià Casamitjana; Marco Lorenzi; Sebastiano Ferraris; Loïc Peter; Marc Modat; Allison Stevens; Bruce Fischl; Tom Vercauteren; Juan Eugenio Iglesias (Medical Image Anal., 2022)

Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data. - Daniel Sobotka; Michael Ebner; Ernst Schwartz; Karl-Heinz Nenning; Athena Taymourtash; Tom Vercauteren; Sébastien Ourselin; Gregor Kasprian; Daniela Prayer; Georg Langs; Roxane Licandro (NeuroImage, 2022)

Intraoperative Needle Tip Tracking with an Integrated Fibre-Optic Ultrasound Sensor. - Christian Baker; Miguel Xochicale; Fang-Yu Lin; Sunish Mathews; Francois Joubert; Dzhoshkun I. Shakir; Richard Miles; Charles A. Mosse; Tianrui Zhao; Weidong Liang; Yada Kunpalin; Brian Dromey; et al. (Sensors, 2022)

Enhanced Photoacoustic Visualisation of Clinical Needles by Combining Interstitial and Extracorporeal Illumination of Elastomeric Nanocomposite Coatings. - Mengjie Shi; Semyon Bodian; Simeon J. West; Sanjayan Sathasivam; Ross J. Gordon; Paul Collier; Tom Vercauteren; Adrien E. Desjardins; Sacha Noimark; Wenfeng Xia 001 (Sensors, 2022)

Cross-Modality Image Registration Using a Training-Time Privileged Third Modality. - Qianye Yang; David Atkinson; Yunguan Fu; Tom Syer; Wen Yan; Shonit Punwani; Matthew J. Clarkson; Dean C. Barratt; Tom Vercauteren; Yipeng Hu (IEEE Trans. Medical Imaging, 2022)

Freehand ultrasound without external trackers. - Qi Li 030; Ziyi Shen; Qian Li 036; Dean C. Barratt; Thomas Dowrick; Matthew J. Clarkson; Tom Vercauteren; Yipeng Hu (Zenodo, 2022)

FastGeodis: Fast Generalised Geodesic Distance Transform. - Muhammad Asad 001; Reuben Dorent; Tom Vercauteren (J. Open Source Softw., 2022)

OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control. - Christopher E. Mower; João Moura 003; Nazanin Zamani Behabadi; Sethu Vijayakumar; Tom Vercauteren; Christos Bergeles (ICRA, 2023)

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. - Florian Kofler; Suprosanna Shit; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Rami Al-Maskari; Hongwei Bran Li; Harsharan Bhatia; Timo Loehr; Marie Piraud; Ali Ertürk; Jan Kirschke; et al. (IPMI, 2023)

Trackerless Freehand Ultrasound with Sequence Modelling and Auxiliary Transformation Over Past and Future Frames. - Qi Li 030; Ziyi Shen; Qian Li 036; Dean C. Barratt; Thomas Dowrick; Matthew J. Clarkson; Tom Vercauteren; Yipeng Hu (ISBI, 2023)

Towards in-utero Navigational Assistance: A Multi Task Neural Network for Segmentation and Pose Estimation in Fetoscopy. - Mirza Awais Ahmad; Mouloud Ourak; Tom Vercauteren; Jan Deprest; Emmanuel B. Vander Poorten (ISMR, 2023)

Adaptive Multi-scale Online Likelihood Network for AI-Assisted Interactive Segmentation. - Muhammad Asad 001; Helena Williams; Indrajeet Mandal; Sarim Ather; Jan Deprest; Jan D'hooge; Tom Vercauteren (MICCAI (2), 2023)

Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing. - Charlie Budd; Jianrong Qiu; Oscar MacCormac; Martin Huber; Christopher E. Mower; Mirek Janatka; Théo Trotouin; Jonathan Shapey; Mads S. Bergholt; Tom Vercauteren (MICCAI (9), 2023)

Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. - Reuben Dorent; Nazim Haouchine; Fryderyk Victor Kögl; Samuel Joutard; Parikshit Juvekar; Erickson Torio; Alexandra J. Golby; Sébastien Ourselin; Sarah F. Frisken; Tom Vercauteren; Tina Kapur; William M. Wells III (MICCAI (10), 2023)

A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso (DGM4MICCAI, 2023)

Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning. - Martin Huber; Sébastien Ourselin; Christos Bergeles; Tom Vercauteren (MICCAI (9), 2023)

Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction. - Qi Li 030; Ziyi Shen; Qian Li 036; Dean C. Barratt; Thomas Dowrick; Matthew J. Clarkson; Tom Vercauteren; Yipeng Hu (ASMUS@MICCAI, 2023)

Text Promptable Surgical Instrument Segmentation with Vision-Language Models. - Zijian Zhou 002; Oluwatosin Alabi; Meng Wei; Tom Vercauteren; Miaojing Shi (NeurIPS, 2023)

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging. - Peichao Li; Muhammad Asad 001; Conor C. Horgan; Oscar MacCormac; Jonathan Shapey; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2023)

VideoSum: A Python Library for Surgical Video Summarization. - Luis C. García-Peraza-Herrera; Sébastien Ourselin; Tom Vercauteren (CoRR, 2023)

Learning-based sound speed reconstruction and aberration correction in linear-array photoacoustic/ultrasound imaging. - Mengjie Shi; Tom Vercauteren; Wenfeng Xia 001 (CoRR, 2023)

SegMatch: A semi-supervised learning method for surgical instrument segmentation. - Meng Wei; Charlie Budd; Luis C. García-Peraza-Herrera; Reuben Dorent; Miaojing Shi; Tom Vercauteren (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces. - Helena Williams; João Pedrosa; Muhammad Asad 001; Laura Cattani; Tom Vercauteren; Jan Deprest; Jan D'hooge (CoRR, 2023)

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 001; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (CoRR, 2023)

A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma. - Navodini Wijethilake; Steve Connor; Anna Oviedova; Rebecca Burger; Tom Vercauteren; Jonathan Shapey (CoRR, 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

Editorial for special issue on explainable and generalizable deep learning methods for medical image computing. - Guotai Wang; Shaoting Zhang 001; Sharon X. Huang; Tom Vercauteren; Dimitris N. Metaxas (Medical Image Anal., 2023)

Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset. - Charlie Budd; Luis C. García-Peraza-Herrera; Martin Huber; Sébastien Ourselin; Tom Vercauteren (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB). - Luis C. García-Peraza-Herrera; Conor C. Horgan; Sébastien Ourselin; Michael Ebner; Tom Vercauteren (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. - Jianghao Wu 001; Dong Guo; Lu Wang; Shuojue Yang; Yuanjie Zheng; Jonathan Shapey; Tom Vercauteren; Sotirios Bisdas; Robert Bradford; Shakeel R. Saeed; Neil Kitchen; Sébastien Ourselin; et al. (Neurocomputing, 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Development and validation of a flexible fetoscope for fetoscopic laser coagulation. - Mirza Awais Ahmad; Mouloud Ourak; Dirk Wenmakers; Ignacio Valenzuela; David Basurto; Sébastien Ourselin; Tom Vercauteren; Jan Deprest; Emmanuel B. Vander Poorten (Int. J. Comput. Assist. Radiol. Surg., 2023)

UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 002; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2023)

A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging. - Peichao Li; Oscar MacCormac; Jonathan Shapey; Tom Vercauteren (BMVC, 2024)

UltraAugment: Fan-shape and Artifact-based Data Augmentation for 2D Ultrasound Images. - Florian Ramakers; Tom Vercauteren; Jan Deprest; Helena Williams (CVPR Workshops, 2024)

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation. - Theodore Barfoot; Luis C. García-Peraza-Herrera; Ben Glocker; Tom Vercauteren (MICCAI (9), 2024)

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency. - Charlie Budd; Tom Vercauteren (MICCAI (6), 2024)

Label Merge-and-Split: A Graph-Colouring Approach for Memory-Efficient Brain Parcellation. - Aaron Kujawa; Reuben Dorent; Sébastien Ourselin; Tom Vercauteren (MICCAI (9), 2024)

Nonrigid Reconstruction of Freehand Ultrasound Without a Tracker. - Qi Li 030; Ziyi Shen; Qianye Yang; Dean C. Barratt; Matthew J. Clarkson; Tom Vercauteren; Yipeng Hu (MICCAI (4), 2024)

Collaborative human-robot surgery for Mandibular Angle Split Osteotomy: Optical tracking based approach. - Zhe Han; Huanyu Tian; Tom Vercauteren; Da Liu; Changsheng Li; Xingguang Duan (Biomed. Signal Process. Control., 2024)

Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning. - Zijian Zhou 002; Miaojing Shi; Meng Wei; Oluwatosin Alabi; Zijie Yue; Tom Vercauteren (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery. - Oluwatosin Alabi; Ko Ko Zayar Toe; Zijian Zhou 002; Charlie Budd; Nicholas Raison; Miaojing Shi; Tom Vercauteren (CoRR, 2024)

Vision and Contact based Optimal Control for Autonomous Trocar Docking. - Christopher E. Mower; Martin Huber; Huanyu Tian; Ayoob Davoodi; Emmanuel B. Vander Poorten; Tom Vercauteren; Christos Bergeles (CoRR, 2024)

Scribble-Based Interactive Segmentation of Medical Hyperspectral Images. - Zhonghao Wang; Junwen Wang; Charlie Budd; Oscar MacCormac; Jonathan Shapey; Tom Vercauteren (CoRR, 2024)

OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations. - Junwen Wang; Zhonghao Wang; Oscar MacCormac; Jonathan Shapey; Tom Vercauteren (CoRR, 2024)

Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI. - Aaron Kujawa; Reuben Dorent; Steve Connor; Suki Thomson; Marina Ivory; Ali Vahedi; Emily Guilhem; Navodini Wijethilake; Robert Bradford; Neil Kitchen; Sotirios Bisdas; Sébastien Ourselin; et al. (Frontiers Comput. Neurosci., 2024)

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. - Andres Diaz-Pinto; Sachidanand Alle; Vishwesh Nath; Yucheng Tang; Alvin Ihsani; Muhammad Asad 001; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Mona Flores; Holger R. Roth; Tom Vercauteren; et al. (Medical Image Anal., 2024)

Generating multi-pathological and multi-modal images and labels for brain MRI. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Petru-Daniel Tudosiu; Tom Vercauteren; M. Jorge Cardoso (Medical Image Anal., 2024)

Long-Term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker. - Qi Li 030; Ziyi Shen; Qian Li 036; Dean C. Barratt; Thomas Dowrick; Matthew J. Clarkson; Tom Vercauteren; Yipeng Hu (IEEE Trans. Biomed. Eng., 2024)

A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. - Lucas Fidon; Michael Aertsen; Florian Kofler; Andrea Bink; Anna L. David; Thomas Deprest; Doaa Emam; Frédéric Guffens; András Jakab; Gregor Kasprian; Patric Kienast; Andrew Melbourne; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enhancing surgical instrument segmentation: integrating vision transformer insights with adapter. - Meng Wei; Miaojing Shi; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2024)

LBR-Stack: ROS 2 and Python Integration of KUKA FRI for Med and IIWA Robots. - Martin Huber; Christopher E. Mower; Sébastien Ourselin; Tom Vercauteren; Christos Bergeles (J. Open Source Softw., 2024)

Multitask learning in minimally invasive surgical vision: A review. - Oluwatosin Alabi; Tom Vercauteren; Miaojing Shi (Medical Image Anal., 2025)

LoViT: Long Video Transformer for surgical phase recognition. - Yang Liu 271; Maxence Boels; Luis C. García-Peraza-Herrera; Tom Vercauteren; Prokar Dasgupta; Alejandro Granados; Sébastien Ourselin (Medical Image Anal., 2025)

UM-CAM: Uncertainty-weighted multi-resolution class activation maps for weakly-supervised segmentation. - Jia Fu; Guotai Wang; Tao Lu; Qiang Yue; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (Pattern Recognit., 2025)

UltraFlwr - An Efficient Federated Medical and Surgical Object Detection Framework. - Yang Li; Soumya Snigdha Kundu; Maxence Boels; Toktam Mahmoodi; Sébastien Ourselin; Tom Vercauteren; Prokar Dasgupta; Jonathan Shapey; Alejandro Granados (CoRR, 2025)

Surg-3M: A Dataset and Foundation Model for Perception in Surgical Settings. - Chengan Che; Chao Wang; Tom Vercauteren; Sophia Tsoka; Luis C. García-Peraza-Herrera (CoRR, 2025)

Surgeons vs. Computer Vision: A comparative analysis on surgical phase recognition capabilities. - Marco Mezzina; Pieter De Backer; Tom Vercauteren; Matthew B. Blaschko; Alexandre Mottrie; Tinne Tuytelaars (CoRR, 2025)

Hydra: Marker-Free RGB-D Hand-Eye Calibration. - Martin Huber; Huanyu Tian; Christopher E. Mower; Lucas-Raphael Müller; Sébastien Ourselin; Christos Bergeles; Tom Vercauteren (CoRR, 2025)

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. - Meritxell Riera-Marin; O. K. Sikha 001; Júlia Rodríguez-Comas; Matthias Stefan May; Zhaohong Pan; Xiang Zhou; Xiaokun Liang; Franciskus Xaverius Erick; Andrea Prenner; Cédric Hémon; Valentin Boussot; Jean-Louis Dillenseger; et al. (CoRR, 2025)

A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans. - Lorena Garcia-Foncillas Macias; Aaron Kujawa; Aya Elshalakany; Jonathan Shapey; Tom Vercauteren (CoRR, 2025)

Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities. - Marco Mezzina; Pieter De Backer; Tom Vercauteren; Matthew B. Blaschko; Alexandre Mottrie; Tinne Tuytelaars (Int. J. Comput. Assist. Radiol. Surg., 2025)

Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation. - Theodore Barfoot; Luis C. García-Peraza-Herrera; Samet Akcay; Ben Glocker; Tom Vercauteren (CoRR, 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation. - Junwen Wang; Oscar MacCormac; William Rochford; Aaron Kujawa; Jonathan Shapey; Tom Vercauteren (CoRR, 2025)

TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker. - Qi Li 030; Shaheer U. Saeed; Yuliang Huang; Mingyuan Luo; Zhongnuo Yan; Jiongquan Chen; Xin Yang 009; Dong Ni 001; Nektarios Winter; Phuc Nguyen; Lucas Steinberger; Caelan Haney; et al. (CoRR, 2025)

X-RAFT: Cross-Modal Non-Rigid Registration of Blue and White Light Neurosurgical Hyperspectral Images. - Charlie Budd; Silvère Ségaud; Matthew Elliot; Graeme Stasiuk; Yijing Xie; Jonathan Shapey; Tom Vercauteren (CoRR, 2025)

Label tree semantic losses for rich multi-class medical image segmentation. - Junwen Wang; Oscar MacCormac; William Rochford; Aaron Kujawa; Jonathan Shapey; Tom Vercauteren (CoRR, 2025)

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. - Tobias Rueckert; David Rauber; Raphaela Maerkl; Leonard Klausmann; Suemeyye R. Yildiran; Max Gutbrod; Danilo Weber Nunes; Alvaro Fernandez Moreno; Imanol Luengo; Danail Stoyanov; Nicolas Toussaint; Enki Cho; et al. (CoRR, 2025)

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation. - Meng Wei; Charlie Budd; Oluwatosin Alabi; Miaojing Shi; Tom Vercauteren (CoRR, 2025)

Themed Challenges to Solve Data Scarcity in Africa: A Proposition for Increasing Local Data Collection and Integration. - Mubaraq Yakubu; Udunna Anazodo; Maruf Adewole; Theodore Barfoot; Tiarna Lee; Tom Vercauteren; Jonathan Shapey; Andrew P. King; Alexander Hammers (CoRR, 2025)