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SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only.

M. Zusag, S. Desai, M. Paolo, T. Semple, A. Shah, and E. Angelini. ISBI, page 298-302. IEEE, (2019)

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Gianna Angelini

Sandra Angelini

Terenzio Angelini

Elsa Zastrow

Elsa Bernhofer

Other publications of authors with the same name

Compressed Sensing in microscopy with random projections in the Fourier domain.M. de Moraes Marim, E. Angelini, and J. Olivo-Marin. ICIP, page 2121-2124. IEEE, (2009)Brushlet segmentation for automatic detection of lumen borders in IVUS images: A comparison study.A. Katouzian, E. Angelini, B. Sturm, and A. Laine. ISBI, page 242-245. IEEE, (2012)Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples.W. Meiniel, Y. Gan, C. Hendon, J. Olivo-Marin, A. Laine, and E. Angelini. ISBI, page 373-376. IEEE, (2016)Texton and sparse representation based texture classification of lung parenchyma in CT images.J. Yang, X. Feng, E. Angelini, and A. Laine. EMBC, page 1276-1279. IEEE, (2016)Image denoising by multiple compressed sensing reconstructions.W. Meiniel, Y. Montagner, E. Angelini, and J. Olivo-Marin. ISBI, page 1232-1235. IEEE, (2015)Contrast mapping and statistical testing for low-grade GLIOMA growth quantification on brain MRI.E. Angelini, J. Delon, L. Capelle, and E. Mandonnet. ISBI, page 872-875. IEEE, (2010)A Compressed Sensing Approach for Biological Microscopic Image Processing.M. de Moraes Marim, E. Angelini, and J. Olivo-Marin. ISBI, page 1374-1377. IEEE, (2009)SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only.M. Zusag, S. Desai, M. Paolo, T. Semple, A. Shah, and E. Angelini. ISBI, page 298-302. IEEE, (2019)Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study.J. Song, J. Yang, B. Smith, P. Balte, E. Hoffman, R. Barr, A. Laine, and E. Angelini. ISBI, page 375-378. IEEE, (2017)Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features.S. Ebrahimi, L. Gajny, W. Skalli, and E. Angelini. ISBI, page 688-691. IEEE, (2019)

BibSonomy

Disambiguation of "Angelini, Elsa D."