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  1. No Access

    Chapter and Conference Paper

    Mammogram Classification with Ordered Loss

    Breast radiologists inspect mammograms with the utmost consideratio...

    Rami Ben-Ari, Yoel Shoshan, Tal Tlusty in Artificial Intelligence in Medicine (2019)

  2. Chapter and Conference Paper

    Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning

    To interpret a breast MRI study, a radiologist has to examine over 1000 images, and integrate spatial and temporal information from multiple sequences. The automated detection and classification of suspicious...

    Guy Amit, Omer Hadad, Sharon Alpert in Medical Image Computing and Computer Assis… (2017)

  3. No Access

    Chapter and Conference Paper

    A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography

    This paper addresses the problem of detection and classification of tumors in breast mammograms. We introduce a novel system that integrates several modules including a breast segmentation module and a fibrogl...

    Ayelet Akselrod-Ballin, Leonid Karlinsky in Deep Learning and Data Labeling for Medica… (2016)

  4. Chapter and Conference Paper

    Image De-noising by Bayesian Regression

    We present a kernel based approach for image de-noising in the spatial domain. The crux of evaluation for the kernel weights is addressed by a Bayesian regression. This approach introduces an adaptive filter, ...

    Shimon Cohen, Rami Ben-Ari in Image Analysis and Processing – ICIAP 2011 (2011)

  5. No Access

    Chapter and Conference Paper

    Geodesic Active Contours with Combined Shape and Appearance Priors

    We present a new object segmentation method that is based on geodesic active contours with combined shape and appearance priors. It is known that using shape priors can significantly improve object segmentation i...

    Rami Ben-Ari, Dror Aiger in Advanced Concepts for Intelligent Vision Systems (2008)