Version
française / English version
My imaging projects focus on image
segmentation, image registration and modelling and
calibration of some sensors without or with learning approaches (deep learning,
Bayes, SVM). On-going projects follow:
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modelling the ultrasound plane (abstract) and calibrating a 3D ultrasound probe (abstract)
-
statistical modelling of shape and appearance of organs for
segmentation of images (abstract)
-
bone/soft
tissue interface segmentation in
ultrasound images (abstract)
-
real-time
segmentation of the mitral valve in ultrasound images (abstract)
-
semi-automatic
segmentation of the prostate in ultrasound volumes (abstract)
-
segmentation
of radioactive seeds in CT (abstract)
and 3D ultrasound (abstract)
images
-
segmentation-less
registration
of CT/US data (abstract)
-
data
registration for non invasive tracking of soft tissues (abstract)
or bony structures (abstract)
-
3D/2D
hybrid (image-based and feature-based) registration of ultrasound images (abstract)
-
AI
for 3D/2D ultrasound image registration (abstract)
-
AI
for 3D ultrasound image segmentation (abstract)
Several of
these projects were developed in collaboration with
colleagues. The PhD or postdoctoral students I am currently responsible for,
concerned by these projects are:
-
Tamara
DUPUY (co-supervised by Sandrine VOROS, TIMC)
-
Clément
BEITONE, postdoc.
PhD theses
defended on those topics or close ones which can be
obtained on the HAL dedicated web
server.
-
Hatem
YOUNES, 2020
-
Sonia-Yuki
SELMI, 2017
-
Oussama HADDAD, 2017 (directed by Eric STINDEL, LATIM,
Brest).
-
Jonathan
SCHERS, 2009
-
Sebastien
MARTIN, 2008
-
Michael
BAUMANN, 2008
-
-