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ORCIDDevis Peressutti
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2020 – today
- 2024
[j8]Nicolas Longépé, Isabella Petrelli
, Nika Oman Kadunc, Devis Peressutti, Roberto Del Prete, Mauro Casaburi, Irina Babkina, Nathan Vercruyssen, Elisa Callejo Luis, Álvaro Morón Elorza, Valentina Marchese, Agne Paskeviciute Kidron, Nicola Melega:
Simulation of Multispectral and Hyperspectral EO Products for Onboard Machine Learning Application. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17651-17665 (2024)- [c12]Francis Charette Migneault, Ryan Avery, Brian Pondi, Joses Omojola, Simone Vaccari, Parham Membari, Devis Peressutti, Jia Yu, Jed Sundwall:
Machine Learning Model Specification for Cataloging Spatio-Temporal Models (Demo Paper). GeoSearch@SIGSPATIAL 2024: 36-39 - 2021
- [c11]Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressutti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiaoxiang Zhu:
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. NeurIPS Datasets and Benchmarks 2021
2010 – 2019
- 2019
- [j7]Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Timor Kadir, Andre Dekker, Wouter van Elmpt, Mark J. Gooding:
Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. IEEE Trans. Medical Imaging 38(1): 99-106 (2019) - [j6]Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Andre Dekker, Wouter van Elmpt, Mark J. Gooding:
An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. IEEE Trans. Medical Imaging 38(11): 2654-2664 (2019) - 2018
- [j5]Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, Simone Rivolo, Jessica Webb, Simon Claridge, Thomas Jackson, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. Medical Image Anal. 43: 169-185 (2018) - 2017
- [j4]Devis Peressutti, Matthew Sinclair, Wenjia Bai, Thomas Jackson, Jacobus Ruijsink, David Nordsletten, Liya Asner, Myrianthi Hadjicharalambous, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction. Medical Image Anal. 35: 669-684 (2017) - [j3]Devis Peressutti, Alberto Gómez, Graeme P. Penney, Andrew P. King:
Registration of Multiview Echocardiography Sequences Using a Subspace Error Metric. IEEE Trans. Biomed. Eng. 64(2): 352-361 (2017) - 2016
- [c10]Esther Puyol-Antón, Devis Peressutti, Paul Aljabar, Mathieu De Craene, Paolo Piro, Andrew P. King:
Towards a multimodal cardiac motion atlas. ISBI 2016: 32-35 - [c9]Maria Panayiotou, Devis Peressutti, Andrew P. King, Kawal S. Rhode, Richard James Housden:
Image-Based Real-Time Motion Gating of 3D Cardiac Ultrasound Images. STACOM@MICCAI 2016: 3-10 - [c8]Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. STACOM@MICCAI 2016: 57-65 - 2015
- [c7]Wenjia Bai, Devis Peressutti, Ozan Oktay, Wenzhe Shi, Declan P. O'Regan, Andrew P. King, Daniel Rueckert:
Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects. FIMH 2015: 3-11 - [c6]Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert:
Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. STACOM@MICCAI 2015: 13-20 - [c5]Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. STACOM@MICCAI 2015: 30-39 - [c4]Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning. MICCAI (3) 2015: 493-500 - [c3]Woo-Jin Cho Kim, Andrew P. King, Devis Peressutti:
Respiratory Motion Modelling Using Supervised Principal Component Analysis. MIUA 2015: 74-79 - 2014
- [j2]Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Andrew P. King:
Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. Medical Image Anal. 18(7): 1015-1025 (2014) - 2013
- [j1]Devis Peressutti, Graeme P. Penney, Richard James Housden, Christoph Kolbitsch, Alberto Gómez, Erik-Jan Rijkhorst, Dean C. Barratt, Kawal S. Rhode, Andrew P. King:
A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. Medical Image Anal. 17(4): 488-502 (2013) - [c2]Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Richard James Housden, Alberto Gómez, Kawal S. Rhode, Andrew P. King:
A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions. ISBI 2013: 29-32 - 2012
- [c1]Devis Peressutti, Erik-Jan Rijkhorst, Dean C. Barratt, Graeme P. Penney, Andy P. King:
Estimating and resolving uncertainty in cardiac respiratory motion modelling. ISBI 2012: 262-265
Coauthor Index
aka: Andy P. King
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