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Daniela Ushizima
Daniela Ushizima
Lawrence Berkeley National Laboratory, UC Berkeley, UC San Francisco
Verified email at lbl.gov - Homepage
Title
Cited by
Cited by
Year
A texture approach to leukocyte recognition
DMU Sabino, L da Fontoura Costa, EG Rizzatti, MA Zago
Real-Time Imaging 10 (4), 205-216, 2004
2102004
Evaluation of three algorithms for the segmentation of overlapping cervical cells
Z Lu, G Carneiro, AP Bradley, D Ushizima, MS Nosrati, AGC Bianchi, ...
IEEE journal of biomedical and health informatics 21 (2), 441-450, 2016
1582016
Xi-cam: a versatile interface for data visualization and analysis
RJ Pandolfi, DB Allan, E Arenholz, L Barroso-Luque, SI Campbell, ...
Journal of synchrotron radiation 25 (4), 1261-1270, 2018
1212018
Deep learning for cell image segmentation and ranking
FHD Araújo, RRV Silva, DM Ushizima, MT Rezende, CM Carneiro, ...
Computerized Medical Imaging and Graphics 72, 13-21, 2019
1092019
Segmentation of subcellular compartments combining superpixel representation with voronoi diagrams
DM Ushizima, AGC Bianchi, CM Carneiro
822014
SAR imagery segmentation by statistical region growing and hierarchical merging
EA Carvalho, DM Ushizima, FNS Medeiros, CIO Martins, RCP Marques, ...
Digital Signal Processing 20 (5), 1365-1378, 2010
742010
Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities
MM Noack, PH Zwart, DM Ushizima, M Fukuto, KG Yager, KC Elbert, ...
Nature Reviews Physics 3 (10), 685-697, 2021
622021
A convolutional neural network-based screening tool for X-ray serial crystallography
TW Ke, AS Brewster, SX Yu, D Ushizima, C Yang, NK Sauter
Journal of synchrotron radiation 25 (3), 655-670, 2018
562018
Augmented topological descriptors of pore networks for material science
D Ushizima, D Morozov, GH Weber, AGC Bianchi, JA Sethian, EW Bethel
IEEE transactions on visualization and computer graphics 18 (12), 2041-2050, 2012
552012
Support vector machines applied to white blood cell recognition
DM Ushizima, AC Lorena, A De Carvalho
Fifth international conference on hybrid intelligent systems (HIS'05), 6 pp., 2005
512005
Multiresolution 3D-DenseNet for chemical shift prediction in NMR crystallography
S Liu, J Li, KC Bennett, B Ganoe, T Stauch, M Head-Gordon, A Hexemer, ...
The journal of physical chemistry letters 10 (16), 4558-4565, 2019
492019
Reverse image search for scientific data within and beyond the visible spectrum
FHD Araujo, RRV Silva, FNS Medeiros, DD Parkinson, A Hexemer, ...
Expert Systems with Applications 109, 35-48, 2018
482018
Wavelet analysis for wind fields estimation
GC Leite, DM Ushizima, FNS Medeiros, GG De Lima
Sensors 10 (6), 5994-6016, 2010
432010
Validating deep learning inference during chest X-ray classification for COVID-19 screening
R Sadre, B Sundaram, S Majumdar, D Ushizima
Scientific reports 11 (1), 16075, 2021
382021
Toward leukocyte recognition using morphometry, texture and color
DMU Sabino, LF Costa, EG Rizzatti, MA Zago
2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro …, 2004
372004
Ammonia gas sensor based on the frequency-dependent impedance characteristics of ultrathin polyaniline films
MC Santos, AGC Bianchi, DM Ushizima, FJ Pavinatto, RF Bianchi
Sensors and Actuators A: Physical 253, 156-164, 2017
362017
Redes neurais convolucionais com tensorflow: Teoria e prática
FHD Araújo, AC Carneiro, RRV Silva, FNS Medeiros, DM Ushizima
SOCIEDADE BRASILEIRA DE COMPUTAÇÃO. III Escola Regional de Informática do …, 2017
342017
Statistical segmentation and porosity quantification of 3d x-ray microtomography
D Ushizima, D Parkinson, P Nico, J Ajo-Franklin, A MacDowell, B Kocar, ...
Applications of Digital Image Processing XXXIV 8135, 11-24, 2011
342011
A hierarchical feature-based methodology to perform cervical cancer classification
DN Diniz, MT Rezende, AGC Bianchi, CM Carneiro, DM Ushizima, ...
Applied Sciences 11 (9), 4091, 2021
332021
Convolutional neural networks for grazing incidence x-ray scattering patterns: thin film structure identification
S Liu, CN Melton, S Venkatakrishnan, RJ Pandolfi, G Freychet, D Kumar, ...
MRS Communications 9 (2), 586-592, 2019
332019
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