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.