Devis Peressutti

发表

Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas

Eric Kerfoot, Daniel Rueckert, Wenjia Bai, 2016, STACOM@MICCAI.

Patient-specific modeling for left ventricular mechanics using data-driven boundary energies

Myrianthi Hadjicharalambous, David Nordsletten, Andrew P. King, 2017 .

Image-Based Real-Time Motion Gating of 3D Cardiac Ultrasound Images

Richard James Housden, Kawal S. Rhode, Andrew P. King, 2016, STACOM@MICCAI.

An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning

Djamal Boukerroui, Andre Dekker, Devis Peressutti, 2019, IEEE Transactions on Medical Imaging.

A framework for combining a motion atlas with non‐motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction

Daniel Rueckert, Wenjia Bai, Myrianthi Hadjicharalambous, 2017, Medical Image Anal..

Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2015, FIMH.

Registration of Multiview Echocardiography Sequences Using a Subspace Error Metric

Devis Peressutti, Alberto Gomez, Graeme P Penney, 2017, IEEE Trans. Biomed. Eng..

Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning

Daniel Rueckert, Wenjia Bai, Andrew P. King, 2015, MICCAI.

A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions

Richard James Housden, Kawal S. Rhode, Graeme P. Penney, 2013, Medical Image Anal..

Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2015, STACOM@MICCAI.

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients

Eric Kerfoot, Daniel Rueckert, Wenjia Bai, 2018, Medical Image Anal..

Towards Left Ventricular Scar Localisation Using Local Motion Descriptors

Daniel Rueckert, Wenjia Bai, Andrew P. King, 2015, STACOM@MICCAI.

Estimating and resolving uncertainty in cardiac respiratory motion modelling

Graeme P. Penney, Dean C. Barratt, Andrew P. King, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Towards a multimodal cardiac motion atlas

Paul Aljabar, Mathieu De Craene, Andrew P. King, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test

Paul Aljabar, Andre Dekker, Devis Peressutti, 2018, Medical physics.

Proceedings of Medical Image Understanding and Analysis

Woo Jin Kim, Devis Peressutti, Andrew P. King, 2015 .

A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions

Richard James Housden, Kawal S. Rhode, Graeme P. Penney, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Respiratory Motion Modelling Using Supervised Principal Component Analysis

Andrew P. King, Devis Peressutti, Woo-Jin Cho Kim, 2015, MIUA.

Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features

Graeme P. Penney, Andrew P. King, Christoph Kolbitsch, 2014, Medical Image Anal..

Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory

Djamal Boukerroui, Andre Dekker, Timor Kadir, 2019, IEEE Transactions on Medical Imaging.

Cardiac and Respiratory Motion Correction for Simultaneous Cardiac PET/MR

Tobias Schaeffter, Christoph Kolbitsch, Peter Kellman, 2017, The Journal of Nuclear Medicine.

Non-invasive Model-Based Assessment of Passive Left-Ventricular Myocardial Stiffness in Healthy Subjects and in Patients with Non-ischemic Dilated Cardiomyopathy

Eric Kerfoot, Myrianthi Hadjicharalambous, Liya Asner, 2016, Annals of Biomedical Engineering.

Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.

Paul Aljabar, Charlotte L. Brouwer, Johannes A. Langendijk, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer.

Paul Aljabar, Andre Dekker, Devis Peressutti, 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.