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Philippe Bamberger
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2000 – 2009
- 2008
- [c6]Balaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna Stainvas
, Menahem Abramov, Alexandra Manevitch:
Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography. Digital Mammography / IWDM 2008: 350-357 - [c5]Philippe Bamberger, Isaac Leichter, Nicolas Merlet, Eli Ratner, Glenn Fung, Richard Lederman:
Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach. Digital Mammography / IWDM 2008: 358-365 - [c4]Isaac Leichter, Richard Lederman, Eli Ratner, Nicolas Merlet, Glenn Fung, Balaji Krishnapuram, Philippe Bamberger:
Does a Mammography CAD Algorithm with Varying Filtering Levels of Detection Marks, Used to Reduce the False Mark Rate, Adversely Affect the Detection of Small Masses?. Digital Mammography / IWDM 2008: 504-509 - 2006
- [c3]Isaac Leichter, Richard Lederman, Shalom Buchbinder, Yossi Srour, Philippe Bamberger, Fanny Sperber:
Computerized Classification Can Reduce Unnecessary Biopsies in BI-RADS Category 4A Lesions. Digital Mammography / IWDM 2006: 76-83 - [c2]Glenn Fung, Balaji Krishnapuram, Nicolas Merlet, Eli Ratner, Philippe Bamberger, Jonathan Stoeckel, R. Bharat Rao:
Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications. Digital Mammography / IWDM 2006: 84-91
1990 – 1999
- 1998
- [c1]Richard Lederman, Isaac Leichter, Philippe Bamberger, Boris Novak, Scott Fields, Shalom Buchbinder:
Interactive Quantitative Characterization of Micro-Calcifications on Digitized Film-Screen Mammograms. Digital Mammography / IWDM 1998: 221-224
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