Travelled to:1 × Japan
1 × Turkey
2 × China
Collaborated with:R.Marti X.Lladó J.Martí A.Bosch J.Freixenet S.Ghose J.Mitra J.C.Vilanova D.Sidibé F.Mériaudeau A.Torrent X.Muñoz J.Comet Z.Kato
Talks about:segment (3) prostat (3) approach (2) classif (2) shape (2) model (2) mass (2) probabilist (1) mammograph (1) framework (1)
Person: Arnau Oliver
DBLP: Oliver:Arnau
Contributed to:
2012201020062006Wrote 6 papers:
- 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-2010-OliverTLM #automation #segmentation #set #using
- Automatic Diagnosis of Masses by Using Level set Segmentation and Shape Description (AO, AT, XL, JM), pp. 2528–2531.
- ICPR-v1-2006-BoschMOM #approach #classification #question #what
- Object and Scene Classification: what does a Supervised Approach Provide us? (AB, XM, AO, RM), pp. 773–777.
- ICPR-v4-2006-OliverMMBF #approach #classification
- A new approach to the classification of mammographic masses and normal breast tissue (AO, JM, RM, AB, JF), pp. 707–710.