Name
Affiliation
Papers
TOM VERCAUTEREN
Department of Electrical Engineering|Columbia University|Epidaure Research Group
103
Collaborators
Citations 
PageRank 
370
1956
108.68
Referers 
Referees 
References 
5409
2126
914
Search Limit
1001000
Title
Citations
PageRank
Year
Robotic Endoscope Control Via Autonomous Instrument Tracking.00.342022
Deere learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction00.342022
Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction00.342022
Homography-based Visual Servoing with Remote Center of Motion for Semi-autonomous Robotic Endoscope Manipulation00.342021
Image Compositing for Segmentation of Surgical Tools without Manual Annotations.20.362021
Integrated Multi-Modality Image-Guided Navigation For Neurosurgery: Open-Source Software Platform Using State-Of-The-Art Clinical Hardware00.342021
Intra-operative OCT (iOCT) Image Quality Enhancement - A Super-Resolution Approach Using High Quality iOCT 3D Scans.00.342021
MORPHOLOGICAL CHANGE FORECASTING FOR PROSTATE GLANDS USING FEATURE-BASED REGISTRATION AND KERNEL DENSITY EXTRAPOLATION00.342021
Towards Automated Spine Mobility Quantification - A Locally Rigid CT to X-ray Registration Framework.00.342020
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI10.362020
Deep Learning-Based Monocular Placental Pose Estimation: Towards Collaborative Robotics In Fetoscopy00.342020
Min-Cut Max-Flow for Network Abnormality Detection - Application to Preterm Birth.00.342020
Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation.00.342020
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions30.422020
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.80.482020
FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos.00.342020
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches10.402020
Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology.00.342020
Deep Learning-Based Fetoscopic Mosaicking For Field-Of-View Expansion10.432020
Active Handheld Flexible Fetoscope–Design and Control Based on a Modified Generalized Prandtl-Ishlinski Model00.342020
Evaluation of Haptic Feedback on Bimanually Teleoperated Laparoscopy for Endometriosis Surgery.00.342019
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets.10.352019
Handheld Active Add-On Control Unit for a Cable-Driven Flexible Endoscope.20.412019
Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning.00.342019
Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set.00.342019
Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI.00.342019
Quantifying the Intra-Operative Hemodynamic Effects of Glue Embolization in Vein of Galen Malformations.00.342019
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.130.692019
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation.20.502019
Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging.20.372018
A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery.10.382018
Adversarial Deformation Regularization for Training Image Registration Neural Networks.80.412018
Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia.00.342018
Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video.00.342018
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery.10.362018
Technical note: automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network.00.342018
A magnetic resonance multi-atlas for the neonatal rabbit brain.00.342018
NiftyNet: a deep-learning platform for medical imaging.311.352018
Image computing for fibre-bundle endomicroscopy: A review10.352018
Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy.10.432018
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.10.372018
Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy.00.342018
Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction.10.352018
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections.30.362018
Label-Driven Weakly-Supervised Learning For Multimodal Deformable Image Registration90.512018
A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography.00.342018
Haptic Guidance Based on All-Optical Ultrasound Distance Sensing for Safer Minimally Invasive Fetal Surgery.00.342018
Forward-Backward Splitting In Deformable Image Registration: A Demons Approach00.342018
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning.00.342017
Bruker2nifti: Magnetic Resonance Images converter from Bruker ParaVision to Nifti format.10.352017
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