Travelled to:1 × Japan
1 × Sweden
Collaborated with:F.Mériaudeau A.Srikantha S.Ghose J.Mitra A.Oliver R.Marti X.Lladó J.C.Vilanova S.M.Muddamsetty A.Trémeau J.Freixenet J.Comet Z.Kato
Talks about:prostat (3) segment (2) detect (2) model (2) dynam (2) base (2) probabilist (1) framework (1) spectral (1) multimod (1)
Person: Desire Sidibé
DBLP: Sidib=eacute=:Desire
Contributed to:
20142012Wrote 5 papers:
- ICPR-2014-MuddamsettySTM #detection #using
- Spatio-temporal Saliency Detection in Dynamic Scenes Using Local Binary Patterns (SMM, DS, AT, FM), pp. 2353–2358.
- ICPR-2012-GhoseMOMLFVCSM #functional #probability #segmentation
- A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation (SG, JM, AO, RM, XL, JF, JCV, JC, DS, FM), pp. 121–124.
- ICPR-2012-GhoseMOMLFVCSM12a #3d #energy #framework #graph #learning #probability #segmentation
- Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI (SG, JM, AO, RM, XL, JF, JCV, JC, DS, FM), pp. 125–128.
- ICPR-2012-MitraKGSMLOVM #clustering #multimodal #performance
- Spectral clustering to model deformations for fast multimodal prostate registration (JM, ZK, SG, DS, RM, XL, AO, JCV, FM), pp. 2622–2625.
- ICPR-2012-SrikanthaSM #approach #detection #image
- An SVD-based approach for ghost detection and removal in high dynamic range images (AS, DS, FM), pp. 380–383.