Homero Schiabel
Cited by
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Online mammographic images database for development and comparison of CAD schemes
BRN Matheus, H Schiabel
Journal of digital imaging 24, 500-506, 2011
Mammographic image denoising and enhancement using the anscombe transformation, adaptive wiener filtering, and the modulation transfer function
LCS Romualdo, MAC Vieira, H Schiabel, NDA Mascarenhas, LR Borges
Journal of digital imaging 26, 183-197, 2013
Contrast enhancement in dense breast images to aid clustered microcalcifications detection
FLS Nunes, H Schiabel, CE Goes
Journal of digital imaging 20, 53-66, 2007
Contribution to the radiation protection for sunglasses standards
M Masili, H Schiabel, L Ventura
Radiation protection dosimetry 164 (3), 435-443, 2015
Application of artificial neural network models in segmentation and classification of nodules in breast ultrasound digital images
KD Marcomini, AAO Carneiro, H Schiabel
International journal of biomedical imaging 2016, 2016
Segmentation technique for detecting suspect masses in dense breast digitized images as a tool for mammography CAD schemes
H Schiabel, VT Santos, MF Angelo
Proceedings of the 2008 ACM symposium on Applied computing, 1333-1337, 2008
Automatic segmentation of breast masses using enhanced ICA mixture model
PB Ribeiro, RAF Romero, PR Oliveira, H Schiabel, LB Verçosa
Neurocomputing 120, 61-71, 2013
Filtering of poisson noise in digital mammography using local statistics and adaptive wiener filter
MAC Vieira, PR Bakic, ADA Maidment, H Schiabel, NDA Mascarenhas
Breast Imaging: 11th International Workshop, IWDM 2012, Philadelphia, PA …, 2012
Contrast enhancement in dense breast images using the modulation transfer function
FLS Nunes, H Schiabel, RH Benatti
Medical Physics 29 (12), 2925-2936, 2002
Evaluation of microcalcifications segmentation techniques for dense breast digitized images.
CE Góes, H Schiabel, FL Nunes
Journal of Digital Imaging 15, 231-233, 2002
Computer technique for digital radiographic images correction based on the digitizer characteristic curve.
MC Escarpinati, C Vieira, H Schiabel
Journal of Digital Imaging 15, 228-230, 2002
Mammography images restoration by quantum noise reduction and inverse MTF filtering
LC dos Santos Romualdo, MA da Costa Vieira, H Schiabel
2009 XXII Brazilian Symposium on Computer Graphics and Image Processing, 180-185, 2009
A segmentation technique to detect masses in dense breast digitized mammograms
VT Santos, H Schiabel, CE Goes, RH Benatti
Journal of digital imaging 15, 210-213, 2002
Investigation of clustered microcalcification features for an automated classifier as part of a mammography CAD scheme
AC Patrocinio, H Schiabel, RH Benatti, CE Goes, FLS Nunes
Proceedings of the 22nd Annual International Conference of the IEEE …, 2000
A computerized scheme for detection of clusters of microcalcifications by mammograms image processing
H Schiabel, FLS Nunes, PMA Marques, AFF Slaets
Medical & Biological Engineering & Computing 35, 705, 1997
Nodules segmentation in breast ultrasound using the artificial neural network Self-Organizing Map
KD Marcomini, H Schiabel
Proceedings of the World Congress on engineering 2, 2012
Banco de imagens mamográficas para treinamento na interpretação de imagens digitais
SR Pires, RB Medeiros, H Schiabel
Radiologia Brasileira 37, 239-244, 2004
Application of image processing techniques for contrast enhancement in dense breast digital mammograms
FL dos Santos Nunes, H Schiabel, RH Benatti
Medical Imaging 1999: Image Processing 3661, 1105-1116, 1999
Investigations on the effect of different characteristics of images sets on the performance of a processing scheme for microcalcifications detection in digital mammograms
H Schiabel, FLS Nunes, MC Escarpinati, RH Benatti
Journal of digital imaging 14, 224-225, 2001
Evaluation of Bayesian Network to classify clustered microcalcifications
AC Patrocinio, H Schiabel, R Roseli Ap F
Medical Imaging 2004: Image Processing 5370, 1026-1033, 2004
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