Publications
2021
Araujo, Silva, Medeiros, Farias, Calaes, Bianchi, Ushizima, "Active contours for overlapping cervical cell segmentation", International Journal of Biomedical Engineering and Technology 2021.
2020
Ushizima et al, "ACTS: Accelerating COVID-19 Testing with Screening", ADSA Annual Meeting Oct 2020.
Araujo, Ushizima, Silva, "Fusion of color bands using genetic algorithm to segment melanoma", ISBI April 2020.
Lima, Ushizima, Carvalho, Araujo, Lung CT screening with 3D convolutional neural network architecture, ISBI April 2020.
Mladinov, Grinberg, Miramontes, Ushizima, "Cell detection from brain histology using artificial neural network", ISBI Apr 2020.
Miramontes S., Piergies A., Grinberg L., Ushizima D., Cell Counting with Quantitative Microscopy Based on U-Net, Frontiers in Machine Learning for the Physical Sciences, UC Irvine, Nov 2020.
2019
Araújo, Silva, Resende, Ushizima, Medeiros, Carneiro, Bianchi, "Deep Learning for Cell Image Segmentation and Ranking", Computerized Medical Imaging and Graphics, Mar 2019.
Diniz, Calaes, Ushizima, Bianchi, Medeiros, Marcone, Carneiro, “An Iterated Local Search Algorithm for Cell Nuclei Detection from Pap Smear Images”, awarded best paper, ICEIS 2019 – 21st International Conference on Enterprise Information Systems, May 2019
Ferreira, Ramalho, Bianchi, Carneiro, Ushizima, "Saliency-driven System with Deep Learning for Cell Image Classification", ISBI 2019 Venice, Italy, April 2019.
Ushizima, "CAMERA, light, action: application to bioimaging", Workshop on Signal and Image Analysis for In Silico Heart Simulation, Sao Paulo, Oct 2019.
Lizarra and Ushizima, “Efficient graph-based algorithm applied to cell detection”, UC Leads State competition - awarded best poster statewide in category Engineering & Computer Sciences, Feb 2019.
2018
Ke, Brewster, Yu, Yang, Ushizima, Sauter, "A Convolutional Neural Network-Based Screening Tool for X-ray Serial Crystallography", Journal of Synchrotron Radiation 2018.
Araujo, Silva, Ushizima, Parkinson, Hexemer, Carneiro, Medeiros, "Reverse Image Search for Scientific Data within and beyond the Visible Spectrum", Expert Systems and Applications, vol 109, pg.35-48, 2018. [PDF]
Silva, Araujo, Rezende, Oliveira, Medeiros, Veras, Ushizima, "Searching for cell signatures in multidimensional feature spaces", International Journal of Biomedical Engineering and Technology 2018 (accepted).
Alegro, Grinberg and Ushizima, “Deep learning for billion-pixel digital pathology analysis: application in mapping Tau protein in the human brain”, ML4Sci Sep 2018.
Ferreira, Ushizima, “Saliency-driven system for image classification with deep learning”, ML4Sci Sep 2018.
Ushizima and Lizarraga, “Spectral clustering for automated segmentation”, ML4Sci Sep 2018.
2017
Alegro, Theofilas, Nguy, Castruita, Seeley, Ushizima, Grinberg, "Automating Cell Detection and Classification in Human Brain Fluorescent Microscopy Images Using Dictionary Learning and Sparse Coding", Journal of Neuroscience Methods, 2017.
Ushizima, D., "Detection and Classification of Cervical Cells" in The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, Kitzes, J., Turek, D., & Deniz, F. (Eds.), Oakland, CA: University of California Press 2017.[PDF] [book chapter]
Araujo, Carneiro, Silva, Medeiros, Ushizima, "Convolutional Neural Networks with Tensor Flow: theory and practice", p. 382-406. Brazilian Society of Computation Press 2017. [book chapter]
Silva, Lopes, Araujo, Medeiros, Ushizima, "Computer Vision in python with libraries scikit-image & scikit-learn", p. 407-428. Brazilian Society of Computation Press 2017. [book chapter]
Perciano, Ushizima, Krishnan, Parkinson, Larson, Pelt, Bethel, Zok, Sethian, "Insight into 3D micro-CT data: exploring segmentation algorithms through performance metrics", Journal of Synchrotron Radiation, vol 24, issue 5, pg.1065-1077, 2017 [PDF]
D. Ushizima, H. A. Bale, W. Bethel, P. Ercius, B. Helms, H. Krishnam, L. Grinberg, M. Haranczyk, M. A. A. Macdowell, K. Odziomek, D. Y. Parkinson, T. Perciano, R. Ritchie, and C. Yang. "IDEAL: Images across Domains, Experiments, Algorithms and Learning", Journal of Minerals, Metals and Materials, 2016. JOM, 68(11), 2963-2972. doi:10.1007/s11837-016-2098-4 - Report Number: LBNL-1006616. [BibTeX] [PDF]
Oliveira, Moreira, Ushizima, Carneiro, Medeiros, Araujo, Silva, Bianchi, "A Multi-objective approach for calibration and detection of cervical cells nuclei", In: IEEE Congress on Evolutionary Computation (CEC), Dosnotia, 2017.
2016
Odziomek, Ushizima, Oberbek, Kurzydlowski, Puzyn, "Scanning electron microscopy image representativeness: morphological data on nanoparticles", Journal of Microscopy, 2016.[PDF]
Santos, Bianchi, Ushizima, Pavinatto, Bianchi, "Ammonia gas sensor based on the frequency-dependent impedance characteristics of ultrathin polyaniline films", Sensors and Actuators A: Physical, 2016.[PDF]
Lu, Carneiro, Bradley, Ushizima, Nosrati, Bianchi, Carneiro, Hamarneh, "Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells", IEEE Journal of Biomedical and Health Informatics, 99, pp. 2168-2194, 2016.[PDF]
Venkatakrishnan, Mohan, Beattie, Correa, Dart, Deslippe, Hexemer, Krishnan, MacDowell, Marchesini, Patton, Perciano, Sethian, Stromsness, Tierney, Tull, Ushizima, Parkinson, "Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible", Electronic Imaging, 19, pp.1-7, 2016.(PDF)
Ushizima, Yang, Venkatakrishnan, Araujo, Silva, Tang, Mascarenhas, Hexemer, Parkinson, Sethian, "Convolutional Neural Networks at the Interface of Physical and Digital Data", In: IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washinton, 2016.
ARAUJO, F. H. D. ; SANTANA, A. M. ; SANTOS NETO, P. . "Using Machine Learning to support Healthcare Professionals in Making Preauthorisation Decisions". International Journal of Medical Informatics, v. 94, p. 1-7, 2016.
2015
ARAUJO, F. H. D. ; SANTANA, A. M. ; SANTOS NETO, P. "Evaluation of Classifiers Based on Decision Tree for Learning Medical Claim Process". IEEE Latin American, v. 13, p. 299, 2015.
ARAUJO, F. H. D. ; SANTANA, A. M. ; SANTOS NETO, P. "An Approach Influenced to Pre-processing for Learning Medical Claim Process". Journal of Health Informatics, v. 7, p. 8-15, 2015.
2014
SILVA, R. R.; AIRES, K. R. T.; VERAS, R. M. S. "Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers". In: SIBGRAPI 2014 - XXVII Conference on Graphics, Patterns and Images, 2014, Rio de Janeiro.
ARAUJO, F. H. D. ; SANTANA, A. M. ; SANTOS NETO, P. "Aprendizagem Automática da Regulação Médica/Odontológica pelo Uso de Classificadores e Descoberta do Conhecimento em Base de Dados". In: Congresso Brasileiro de Informática em Saúde, 2014, Santos. Sistema de Apoio à Decisão e Inteligência Artificial I, 2014.
2013
VERAS, R. M. S.; Medeiros, F. N. S.; SILVA, R. R. V. ; USHIZIMA, D. "Assessing the Accuracy of Macula Detection Methods in Retinal Images". In: 18th INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING, 2013, Santorini.
USHIZIMA, DANIELA M. ; CARNEIRO, C. M. ; BIANCHI, A.G.C. "Augmenting access to the public health through automated Pap smear cell analysis". In: 12th International Conference on Machine Learning and Applications, 2013, Miami.
ARAÚJO, F. H. D.; SILVA, R. R. V. ; SANTANA, A. M.; AIRES, K. R. T.; VERAS, R. M. S. "Automatic Identification of Diabetic Retinopathy in Retinal Images Using Ensemble Learning". In: XIII Workshop de Informática Médica, 2013, Maceió.
ARAUJO, F. H. D. ; MORAIS, L. B. ; SANTANA, A. M. ; SANTOS NETO, P. ; ADEODATO, P. J. L. ; LEAO, E. M. "Evaluation of the Use of Computational Intelligence Techniques in Medical Claim Processes of a Health Insurance Company". In: International Symposium on Computer-Based Medical Systems, 2013, Porto.
ARAUJO, F. H. D. ; VERAS, R. M. S. ; SANTANA, A. M. ; MEDEIROS, F. N. S. "AUTOMATIC DETECTION OF EXUDATES IN RETINAL IMAGES USING NEURAL NETWORK". In: Simpósio Brasileiro de Automação Inteligente, 2013, Fortaleza.
ARAUJO, F. H. D. ; SANTANA, A. M. ; VERAS, R. M. S. ; MEDEIROS, F. N. S. "Automatic Detection and Classification of Exudates in Retinal Images Using a Computational-Intelligence Approach". In: Encontro Nacional de Inteligência Artificial e Computacional, 2013, Fortaleza.