Pablo Lamata

发表

Conceptual Framework for Laparoscopic VR Simulators

Rajesh Aggarwal, Pablo Lamata, Enrique J. Gómez, 2006, IEEE Computer Graphics and Applications.

cardiac meshes An automatic service for the personalization of ventricular

Eric Kerfoot, Angela Lee, Pablo Lamata, 2013 .

New Methods for Video-Based Tracking of Laparoscopic Tools

Pablo Lamata, Enrique J. Gómez, Alicia M. Cano, 2006, ISBMS.

Catheter-induced Errors in Pressure Measurements in Vessels: an In-vitro and Numerical Study

Pablo Lamata, Tobias Schaeffter, David Nordsletten, 2014, IEEE Transactions on Biomedical Engineering.

Computational mesh as a descriptor of left ventricular shape for clinical diagnosis

Pablo Lamata, Nicolas Smith, Paul Leeson, 2013, Computing in Cardiology 2013.

Revealing Differences in Anatomical Remodelling of the Systemic Right Ventricle

Pablo Lamata, Reza Razavi, Ernesto Zacur, 2015, FIMH.

Characterization of endothelial function in the brachial artery via affine registration of ultrasonographic image sequences

Alejandro F. Frangi, Pablo Lamata, Alejandro F Frangi, 2003, SPIE Medical Imaging.

Multimodal Interfaces for Laparoscopic Training

Pablo Lamata, Enrique J. Gómez, Francisco M. Sánchez-Margallo, 2008 .

Endoscopic Video Images Analysis for Surgical Training and Image-Guided Surgery

Pablo Lamata, Enrique J. Gómez, Francisco M. Sánchez-Margallo, 2009 .

Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort

Daniel Rueckert, Pablo Lamata, Wenjia Bai, 2019, PLoS Comput. Biol..

Myocardial Infarction Detection from Left Ventricular Shapes Using a Random Forest

Pablo Lamata, Vicente Grau, Ernesto Zacur, 2015, STACOM@MICCAI.

Share and enjoy: anatomical models database—generating and sharing cardiovascular model data using web services

Eric Kerfoot, Pablo Lamata, Steven Niederer, 2012, Medical & Biological Engineering & Computing.

An automatic service for the personalization of ventricular cardiac meshes

David Barber, Eric Kerfoot, Angela Lee, 2014, Journal of The Royal Society Interface.

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging pdf

Yuanyuan Wang, Daniel Rueckert, Mitko Veta, 2020, ArXiv.

Study of laparoscopic forces perception for defining simulation fidelity.

Pablo Lamata, Félix Lamata, Samuel Rodríguez, 2006, Studies in health technology and informatics.

Understanding Perceptual Boundaries in Laparoscopic Surgery

Pablo Lamata, Enrique J. Gómez, Francisco M. Sánchez-Margallo, 2008, IEEE Transactions on Biomedical Engineering.

Laparoscopic Tool Tracking Method for Augmented Reality Surgical Applications

Pablo Lamata, Enrique J. Gómez, Alicia M. Cano, 2008, ISBMS.

Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow

Pablo Lamata, Giovanni Montana, Nicoló Savioli, 2018, 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS).

A finite-element approach to the direct computation of relative cardiovascular pressure from time-resolved MR velocity data

Pablo Lamata, David Nordsletten, Chris P. Bradley, 2012, Medical Image Anal..

Estimation of Cardiovascular Relative Pressure Using Virtual Work-Energy

Pablo Lamata, Massimiliano Colarieti-Tosti, Matilda Larsson, 2019, Scientific Reports.

The Resection Map, a proposal for intraoperative hepatectomy guidance

Ashis Jalote-Parmar, Pablo Lamata, Félix Lamata, 2008, International Journal of Computer Assisted Radiology and Surgery.

Distributed Data Management Service for VPH Applications

Marian Bubak, Cees T. A. M. de Laat, Pablo Lamata, 2016, IEEE Internet Computing.

SINERGIA laparoscopic virtual reality simulator: Didactic design and technical development

Pablo Lamata, Enrique J. Gómez, Francisco M. Sánchez-Margallo, 2007, Comput. Methods Programs Biomed..

Methods and tools for objective assessment of psychomotor skills in laparoscopic surgery.

Pablo Lamata, Magdalena K Chmarra, Enrique J Gómez, 2011, The Journal of surgical research.

Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations

Pablo Lamata, David Nordsletten, Steven Niederer, 2019, FIMH.

A registration-based approach to quantify flow-mediated dilation (FMD) of the brachial artery in ultrasound image sequences

Alejandro F. Frangi, Pablo Lamata, Alejandro F Frangi, 2003, IEEE Transactions on Medical Imaging.

Synthesising Images and Labels Between MR Sequence Types with CycleGAN

Eric Kerfoot, Pablo Lamata, Julia A. Schnabel, 2019, DART/MIL3ID@MICCAI.

A Generative Adversarial Model for Right Ventricle Segmentation pdf

Pablo Lamata, Giovanni Montana, Nicoló Savioli, 2018, ArXiv.

A New Methodology to Characterize Sensory Interaction for Use in Laparoscopic Surgery Simulation

Pablo Lamata, Enrique J. Gómez, Félix Lamata, 2004, ISMS.

Non-invasive pressure difference estimation from PC-MRI using the work-energy equation

Pablo Lamata, David Nordsletten, Nicolas Smith, 2015, Medical Image Anal..

The estimation of patient-specific cardiac diastolic functions from clinical measurements

Sébastien Ourselin, Daniel Rueckert, Pablo Lamata, 2012, Medical Image Anal..

SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI

Hao Xu, Pablo Lamata, Ernesto Zacur, 2019, FIMH.

V-FCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation pdf

Pablo Lamata, Giovanni Montana, Nicoló Savioli, 2018, STACOM@MICCAI.

Quality Metrics for High Order Meshes: Analysis of the Mechanical Simulation of the Heart Beat

Pablo Lamata, Steven Niederer, Andrew Crozier, 2013, IEEE Transactions on Medical Imaging.

Personalised biophysical model to optimize left ventricle pacing location for Cardiac Resynchronisation Therapy over time

Pablo Lamata, Reza Razavi, Gernot Plank, 2016, 2016 Computing in Cardiology Conference (CinC).

Myocardial transversely isotropic material parameter estimation from in-silico measurements based on a reduced-order unscented Kalman filter.

Jack Lee, Dominique Chapelle, Pablo Lamata, 2011, Journal of the mechanical behavior of biomedical materials.

Myocardial Stiffness Estimation: A Novel Cost Function for Unique Parameter Identification

Pablo Lamata, Steven Niederer, Andrew Crozier, 2015, FIMH.

Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation pdf

Pablo Lamata, Giovanni Montana, Rudra P. K. Poudel, 2016, RAMBO+HVSMR@MICCAI.

Generic Conduction Parameters for Predicting Activation Waves in Customised Cardiac Electrophysiology Models

Pablo Lamata, Gernot Plank, Steven Niederer, 2010, STACOM/CESC.

Real-time diameter of the fetal aorta from ultrasound

Pablo Lamata, Enrico Grisan, Giovanni Montana, 2019, Neural Computing and Applications.

Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy

Hojin Ha, Pablo Lamata, Massimiliano Colarieti-Tosti, 2019, Medical Image Anal..

An accurate, fast and robust method to generate patient-specific cubic Hermite meshes

Pablo Lamata, David Nordsletten, Steven Niederer, 2011, Medical Image Anal..

Personalization of Cubic Hermite Meshes for Efficient Biomechanical Simulations

Jack Lee, Pablo Lamata, David Nordsletten, 2010, MICCAI.

Feasibility of the Estimation of Myocardial Stiffness with Reduced 2D Deformation Data

Pablo Lamata, David Nordsletten, Steven Niederer, 2017, FIMH.

Relevance of Motion-Related Assessment Metrics in Laparoscopic Surgery

Pablo Lamata, Jenny Dankelman, Magdalena K Chmarra, 2013, Surgical innovation.

Collaborative co-design of emerging multi-technologies for surgery

Eigil Samset, Pablo Lamata, Adinda Freudenthal, 2011, J. Biomed. Informatics.

An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation

Daniel Rueckert, Pablo Lamata, Reza Razavi, 2011, FIMH.

An exploration of selected challenges in usability evaluation of multimodal and natural interactive systems

Jean Vanderdonckt, Dimitrios Tzovaras, Niels Ole Bernsen, 2006 .

Analysis of tissue consistency perception for laparoscopic simulator design

Pablo Lamata, Enrique J. Gómez, Félix Lamata, 2004, CARS.

Pressure mapping from flow imaging: Enhancing computation of the viscous term through velocity reconstruction in near-wall regions

Pablo Lamata, David Nordsletten, Nicolas Smith, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

Alejandro F. Frangi, Hervé Delingette, Kawal S. Rhode, 2013, Medical & Biological Engineering & Computing.

Improving the Stability of Cardiac Mechanical Simulations

Pablo Lamata, Steven Niederer, Nicolas Smith, 2015, IEEE Transactions on Biomedical Engineering.

Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simulation

Kawal S. Rhode, Pablo Lamata, Ronak Rajani, 2019, STACOM@MICCAI.

Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound pdf

Pablo Lamata, Giovanni Montana, Enrico Grisan, 2018, ICANN.

Images as drivers of progress in cardiac computational modelling

Pablo Lamata, Vicente Grau, Peter Kohl, 2014, Progress in biophysics and molecular biology.

Virtual reality thread simulation for laparoscopic suturing training.

Pablo Lamata, Francisco M Sánchez-Margallo, J Blas Pagador, 2006, Studies in health technology and informatics.

A computational pipeline for quantification of mouse myocardial stiffness parameters

Pablo Lamata, Steven Niederer, Nicolas Smith, 2014, Comput. Biol. Medicine.

Model-Based Vasculature Extraction From Optical Fluorescence Cryomicrotome Images

Jack Lee, Pablo Lamata, Ayush Goyal, 2013, IEEE Transactions on Medical Imaging.

Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation

Pablo Lamata, Ernesto Zacur, Alfonso Bueno-Orovio, 2019, STACOM@MICCAI.

Computational analysis of the importance of flow synchrony for cardiac ventricular assist devices

Pablo Lamata, David Nordsletten, Nicolas Smith, 2014, Comput. Biol. Medicine.

Estimation of Diastolic Biomarkers: Sensitiviy to Fibre Orientation

Pablo Lamata, Steven Niederer, Sander Land, 2014, STACOM.

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Yuanyuan Wang, Daniel Rueckert, Mitko Veta, 2020, Medical Image Anal..

Impact of anatomical reverse remodelling in the design of optimal quadripolar pacing leads: A computational study

Pablo Lamata, Gernot Plank, Edward J. Vigmond, 2021, Comput. Biol. Medicine.

Virtual cohort of extreme and average four-chamber heart meshes from statistical shape model

Pablo Lamata, Gernot Plank, Edward J. Vigmond, 2021 .

Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy

Pablo Lamata, David Nordsletten, Elazer R. Edelman, 2020, Medical Image Anal..

Virtual cohort of 1000 synthetic heart meshes from adult human healthy population

Pablo Lamata, Gernot Plank, Edward J. Vigmond, 2021 .

Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation

Eigil Samset, Pablo Lamata, Cristobal Rodero, 2021, IEEE Transactions on Medical Imaging.

Virtual cohort of adult healthy four-chamber heart meshes from CT images

Pablo Lamata, Gernot Plank, Edward J. Vigmond, 2021 .

Analysis of lead placement optimization metrics in cardiac resynchronization therapy with computational modelling.

Pablo Lamata, Reza Razavi, Gernot Plank, 2016, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Using cardiac magnetic resonance and computational modelling to assess the systemic right ventricle following different Norwood procedures: a dual centre study

Pablo Lamata, Tobias Schaeffter, Kuberan Pushparajah, 2015, Journal of Cardiovascular Magnetic Resonance.

Supervised classification of psychomotor competence in minimally invasive surgery based on instruments motion analysis

Pablo Lamata, Jenny Dankelman, Rodrigo Pérez-Rodríguez, 2013, Surgical Endoscopy.

Improved identifiability of myocardial material parameters by an energy-based cost function

Pablo Lamata, David Nordsletten, Steven Niederer, 2017, Biomechanics and modeling in mechanobiology.

Studying Dynamic Myofiber Aggregate Reorientation in Dilated Cardiomyopathy Using In Vivo Magnetic Resonance Diffusion Tensor Imaging

Pablo Lamata, Liya Asner, David Nordsletten, 2016, Circulation. Cardiovascular imaging.

Clinical Diagnostic Biomarkers from the Personalization of Computational Models of Cardiac Physiology

Pablo Lamata, Andrew Cookson, P. Lamata, 2015, Annals of Biomedical Engineering.

Laparoscopic video analysis for training and image-guided surgery

Pablo Lamata, Francisco M. Sánchez-Margallo, Alicia M. Cano, 2011, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

Virtual Reality Simulators for Objective Evaluation on Laparoscopic Surgery: Current Trends and Benefits.

Pablo Lamata, José B. Pagador, Francisco M. Sánchez-Margallo, 2010 .

Beyond Bernoulli

Pablo Lamata, Stefan Neubauer, Fabrizio Donati, 2017, Circulation. Cardiovascular imaging.

Analyses of the Redistribution of Work following Cardiac Resynchronisation Therapy in a Patient Specific Model

Pablo Lamata, Reza Razavi, Phani Chinchapatnam, 2012, PloS one.

Preterm Heart in Adult Life: Cardiovascular Magnetic Resonance Reveals Distinct Differences in Left Ventricular Mass, Geometry, and Function

Pablo Lamata, Adam J. Lewandowski, Stefan Neubauer, 2012, Circulation.

Aortic Relative Pressure Components Derived from Four-Dimensional Flow Cardiovascular Magnetic Resonance

Pablo Lamata, David Nordsletten, Stefan Neubauer, 2013, Magnetic resonance in medicine.

Use of the Resection Map system as guidance during hepatectomy

Pablo Lamata, Félix Lamata, Sergio Casciaro, 2010, Surgical Endoscopy.