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Laurent Saroul

dblp:74/929 · DBLP profile ↗
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3ranked-venue papers
2as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 50% Visualization and visual analytics · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › volume visualization
medical volume visualization
0.112006
Distance Preserving Flattening of Surface Sections · IEEE Trans. Vis. Comput. Graph. 2006
Geometric modeling and processing › surface parameterization
surface flattening
0.112006
Distance Preserving Flattening of Surface Sections · IEEE Trans. Vis. Comput. Graph. 2006
Medical and health informatics › medical imaging
medical image analysis
0.012006
Distance Preserving Flattening of Surface Sections · IEEE Trans. Vis. Comput. Graph. 2006

Methods — techniques the papers use, named apart from their topics

multiresolution surface flattening · 0.1distortion map analysis · 0.1
YearPublicationVenuePosition
2026 Generalizable Deepfake Detection via Simplicity-Bias-Aware CLIP Adaptation
Charbel Yahchouchi, Noemi Roggero, Laurent Saroul, Antitza Dantcheva
ICPR (10)3
2006 Distance Preserving Flattening of Surface Sections
abstract
Curved cross-sections extracted from medical volume images are useful for analyzing nonplanar anatomic structures such as the aorta arch or the pelvis. For visualization and for performing distance measurements, extracted surface sections need to be adequately flattened. We present two different distance preserving surface flattening methods which preserve distances according to a user-specified center of interest and according to user-specified orientations. The first method flattens surface sections by preserving distances along surface curves located within planes having a user specified constant orientation. The second method flattens surfaces along curves located within radial planes crossing the center of interest. We study and compare the properties of the two flattening methods by analyzing their distortion maps. Thanks to a multiresolution approach, we provide surface flattening at interactive rates, allowing users to displace their focus point while visualizing the resulting flattened surface. These distance preserving flattening methods provide new means of inspecting curved cross-sections extracted from medical images.
Laurent Saroul, Oscar Figueiredo, Roger D. Hersch
IEEE Trans. Vis. Comput. Graph.1
2003 Exploring Curved Anatomic Structures with Surface Sections
abstract
The extraction of planar sections from volume images is the most commonly used technique for inspecting and visualizing anatomic structures. We propose to generalize the concept of planar section to the extraction of curved cross-sections (free form surfaces). Compared with planar slices, curved cross-sections may easily follow the trajectory of tubular structures and organs such as the aorta or the colon. They may be extracted from a 3D volume, displayed as a 3D view and possibly flattened. Flattening of curved cross-sections allows to inspect spatially complex relationship between anatomic structures and their neighborhood. They also allow to carry out measurements along a specific orientation. For the purpose of facilitating the interactive specification of free form surfaces, users may navigate in real time within the body and select the slices on which the surface control points will be positioned. Immediate feedback is provided by displaying boundary curves as cylindrical markers within a 3D view composed of anatomic organs, planar slices and possibly free form surface sections. Extraction of curved surface sections is an additional service that is available online as a Java applet (http://visiblehuman.epfl.ch). It may be used as an advanced tool for exploring and teaching anatomy.
Laurent Saroul, Sebastian Gerlach, Roger D. Hersch
IEEE Visualization1