Raffaele Napolitano

According to our database, Raffaele Napolitano authored at least 12 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Measuring proximity to standard planes during fetal brain ultrasound scanning.

Chiara Di Vece, Antonio Cirigliano, Maela Le Lous, Raffaele Napolitano, Anna L. David, Donald Peebles, Pierre Jannin, Francisco Vasconcelos, Danail Stoyanov

CoRR, 2024

2021

AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes.

Sophia Bano, Brian Dromey, Francisco Vasconcelos, Raffaele Napolitano, Anna L. David, Donald M. Peebles, Danail Stoyanov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2017

A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat.

Mohammad Ali Maraci, Christopher P. Bridge, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble

Medical Image Anal., 2017

2016

Learning from redundant but inconsistent reference data: anatomical views and measurements for fetal brain screening.

Irina Wächter-Stehle, Tobias Klinder, Jean-Michel Rouet, David Roundhill, Gary Andrews, Angelo Cavallaro, Malid Molloholli, Tess Norris, Raffaele Napolitano, Aris T. Papageorghiou, Cristian Lorenz

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

Fisher vector encoding for detecting objects of interest in ultrasound videos.

Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Object Classification in an Ultrasound Video Using LP-SIFT Features.

Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Searching for Structures of Interest in an Ultrasound Video Sequence.

Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2013

Registration of 3D fetal neurosonography and MRI.

Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, Mary A. Rutherford, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel

Medical Image Anal., 2013

Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound.

Mohammad Yaqub, Rémi Cuingnet, Raffaele Napolitano, David Roundhill, Aris T. Papageorghiou, Roberto Ardon, J. Alison Noble

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound.

Rémi Cuingnet, Oudom Somphone, Benoit Mory, Raphael Prevost, Mohammad Yaqub, Raffaele Napolitano, Aris T. Papageorghiou, David Roundhill, J. Alison Noble, Roberto Ardon

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Registration of 3D Fetal Brain US and MRI.

Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, J. Alison Noble, Julia A. Schnabel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automatic detection of local fetal brain structures in ultrasound images.

Mohammad Yaqub, Raffaele Napolitano, Christos Ioannou, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012