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Raphael Prevost
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Journal Articles
- 2018
- [j2]Raphael Prevost, Mehrdad Salehi, Simon Jagoda, Navneet Kumar, Julian Sprung, Alexander Ladikos, Robert Bauer, Oliver Zettinig, Wolfgang Wein:
3D freehand ultrasound without external tracking using deep learning. Medical Image Anal. 48: 187-202 (2018) - 2014
- [j1]Bo Zhang, Shérif Makram-Ebeid, Raphael Prevost, Guillaume Pizaine:
Fast solver for some computational imaging problems: A regularized weighted least-squares approach. Digit. Signal Process. 27: 107-118 (2014)
Conference and Workshop Papers
- 2024
- [c23]Samuel Joutard, Maximilian Pietsch, Raphael Prevost:
HyperSpace: Hypernetworks for Spacing-Adaptive Image Segmentation. MICCAI (9) 2024: 339-349 - 2023
- [c22]Vincent Bürgin, Raphael Prevost, Marijn F. Stollenga:
Robust Vertebra Identification Using Simultaneous Node and Edge Predicting Graph Neural Networks. MICCAI (9) 2023: 483-493 - [c21]Matteo Ronchetti, Wolfgang Wein, Nassir Navab, Oliver Zettinig, Raphael Prevost:
DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration. MICCAI (10) 2023: 761-770 - 2022
- [c20]Viktoria Markova, Matteo Ronchetti, Wolfgang Wein, Oliver Zettinig, Raphael Prevost:
Global Multi-modal 2D/3D Registration via Local Descriptors Learning. MICCAI (6) 2022: 269-279 - [c19]Timo Horstmann, Oliver Zettinig, Wolfgang Wein, Raphael Prevost:
Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks. MIDL 2022: 521-534 - 2020
- [c18]Wolfgang Wein, Mattia Lupetti, Oliver Zettinig, Simon Jagoda, Mehrdad Salehi, Viktoria Markova, Dornoosh Zonoobi, Raphael Prevost:
Three-Dimensional Thyroid Assessment from Untracked 2D Ultrasound Clips. MICCAI (3) 2020: 514-523 - 2018
- [c17]Oliver Zettinig, Mehrdad Salehi, Raphael Prevost, Wolfgang Wein:
Recent Advances in Point-of-Care Ultrasound Using the ImFusion Suite for Real-Time Image Analysis. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 47-55 - 2017
- [c16]Raphael Prevost, Mehrdad Salehi, Julian Sprung, Alexander Ladikos, Robert Bauer, Wolfgang Wein:
Deep Learning for Sensorless 3D Freehand Ultrasound Imaging. MICCAI (2) 2017: 628-636 - [c15]Mehrdad Salehi, Raphael Prevost, José Luis Moctezuma, Nassir Navab, Wolfgang Wein:
Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration. MICCAI (2) 2017: 682-690 - 2015
- [c14]Mehrdad Salehi, Seyed-Ahmad Ahmadi
, Raphael Prevost, Nassir Navab, Wolfgang Wein:
Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization. MICCAI (2) 2015: 510-518 - 2014
- [c13]Raphael Prevost, Rémi Cuingnet, Benoit Mory, Laurent D. Cohen, Roberto Ardon:
Tagged Template Deformation. MICCAI (1) 2014: 674-681 - [c12]Markus Müller, Linn Emilie Sævil Helljesen, Raphael Prevost, Ivan Viola
Deriving Anatomical Context from 4D Ultrasound. VCBM 2014: 173-180 - 2013
- [c11]Raphael Prevost, Rémi Cuingnet, Benoit Mory, Jean-Michel Correas, Laurent D. Cohen, Roberto Ardon:
Joint Co-segmentation and Registration of 3D Ultrasound Images. IPMI 2013: 268-279 - [c10]Rémi Cuingnet
Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound. ISBI 2013: 768-771 - [c9]Raphael Prevost, Rémi Cuingnet, Benoit Mory, Laurent D. Cohen, Roberto Ardon:
Incorporating Shape Variability in Image Segmentation via Implicit Template Deformation. MICCAI (3) 2013: 82-89 - [c8]Raphael Prevost, Blandine Romain, Rémi Cuingnet, Benoit Mory, Laurence Rouet
Registration of Free-Breathing 3D+t Abdominal Perfusion CT Images via Co-segmentation. MICCAI (2) 2013: 99-107 - [c7]Romane Gauriau, Rémi Cuingnet, Raphael Prevost, Benoit Mory, Roberto Ardon, David Lesage, Isabelle Bloch:
A Generic, Robust and Fully-Automatic Workflow for 3D CT Liver Segmentation. Abdominal Imaging 2013: 241-250 - 2012
- [c6]Guillaume Pizaine, Raphael Prevost, Elsa D. Angelini
Segmentation-free and multiscale-free extraction of medial information using Gradient Vector Flow - Application to vascular structures. ISBI 2012: 258-261 - [c5]Raphael Prevost, Benoit Mory, Jean-Michel Correas, Laurent D. Cohen, Roberto Ardon:
Kidney detection and real-time segmentation in 3D contrast-enhanced ultrasound images. ISBI 2012: 1559-1562 - [c4]Rémi Cuingnet
Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests. MICCAI (3) 2012: 66-74 - [c3]Benoit Mory, Oudom Somphone, Raphael Prevost, Roberto Ardon:
Real-Time 3D Image Segmentation by User-Constrained Template Deformation. MICCAI (1) 2012: 561-568 - [c2]Raphael Prevost, Laurent D. Cohen, Jean-Michel Correas, Roberto Ardon:
Automatic detection and segmentation of renal lesions in 3D contrast-enhanced ultrasound images. Image Processing 2012: 83141D - 2010
- [c1]Raphael Prevost, David L. Buckley
Optimization of the DCE-CT protocol using active imaging. ISBI 2010: 776-779
Informal and Other Publications
- 2024
- [i4]Samuel Joutard, Maximilian Pietsch, Raphael Prevost:
HyperSpace: Hypernetworks for spacing-adaptive image segmentation. CoRR abs/2407.03681 (2024) - 2023
- [i3]Matteo Ronchetti, Wolfgang Wein, Nassir Navab, Oliver Zettinig, Raphael Prevost:
DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration. CoRR abs/2307.09931 (2023) - [i2]Vincent Bürgin, Raphael Prevost, Marijn F. Stollenga:
Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks. CoRR abs/2308.02509 (2023) - 2022
- [i1]Viktoria Markova, Matteo Ronchetti, Wolfgang Wein, Oliver Zettinig, Raphael Prevost:
Global Multi-modal 2D/3D Registration via Local Descriptors Learning. CoRR abs/2205.03439 (2022)
Coauthor Index
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