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SIFT Texture Description for Understanding Breast Ultrasound Images.

J. Massich, F. Mériaudeau, M. Sentís, S. Ganau, E. Pérez, D. Puig, R. Marti, A. Oliver, and J. Martí. Digital Mammography / IWDM, volume 8539 of Lecture Notes in Computer Science, page 681-688. Springer, (2014)

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Oliver Sawodny

Oliver Bischoff University of Stuttgart

Oliver Scheel University of Stuttgart

Hon. -Prof. Dr. Oliver Schwarz University of Stuttgart

Univ. -Prof. Dr. Oliver Röhrle University of Stuttgart

Other publications of authors with the same name

Weighted likelihood function of multiple statistical parameters to retrieve 2D TRUS-MR slice correspondence for prostate biopsy.J. Mitra, S. Ghose, D. Sidibé, A. Oliver, R. Marti, X. Lladó, J. Vilanova, J. Comet, and F. Mériaudeau. ICIP, page 2949-2952. IEEE, (2012)Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI.S. Ghose, J. Mitra, A. Oliver, R. Marti, X. Lladó, J. Freixenet, J. Vilanova, J. Comet, D. Sidibé, and F. Mériaudeau. ICPR, page 125-128. IEEE Computer Society, (2012)A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation.S. Ghose, J. Mitra, A. Oliver, R. Marti, X. Lladó, J. Freixenet, J. Vilanova, J. Comet, D. Sidibé, and F. Mériaudeau. ICPR, page 121-124. IEEE Computer Society, (2012)Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients.Y. Diez, A. Oliver, M. Cabezas, S. Valverde, R. Marti, J. Vilanova, L. Ramió-Torrentà, A. Rovira, and X. Lladó. Neuroinformatics, 12 (3): 365-379 (2014)A textural approach for mass false positive reduction in mammography.X. Lladó, A. Oliver, J. Freixenet, R. Marti, and J. Martí. Comp. Med. Imag. and Graph., 33 (6): 415-422 (2009)A review of automatic mass detection and segmentation in mammographic images.A. Oliver, J. Freixenet, J. Martí, E. Pérez, J. Pont, E. Denton, and R. Zwiggelaar. Medical Image Analysis, 14 (2): 87-110 (2010)Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET.M. Salem, S. Valverde, M. Cabezas, D. Pareto, A. Oliver, J. Salvi, A. Rovira, and X. Lladó. CoRR, (2019)Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.J. Bernal, K. Kushibar, D. Asfaw, S. Valverde, A. Oliver, R. Marti, and X. Lladó. CoRR, (2017)Revisiting Intensity-Based Image Registration Applied to Mammography.Y. Diez, A. Oliver, X. Lladó, J. Freixenet, J. Martí, J. Vilanova, and R. Marti. IEEE Trans. Information Technology in Biomedicine, 15 (5): 716-725 (2011)Texture Guided Active Appearance Model Propagation for Prostate Segmentation.S. Ghose, A. Oliver, R. Marti, X. Lladó, J. Freixenet, J. Vilanova, and F. Mériaudeau. Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 111-120. Springer, (2010)