A spectral framework for sperm shape characterization. - Marcelo Emílio Beletti; Luciano da Fontoura Costa; Matheus Palhares Viana (Comput. Biol. Medicine, 2005)

Biologica invasion in soil: Complex network analysis. - Francisco J. Pérez-Reche; Sergei N. Taraskin; Franco M. Neri; Christopher A. Gilligan; Luciano da F. Costa; Matheus P. Viana; Wilfred Otten; D. Grinev (DPS, 2009)

The Effect of Host Morphology on Network Characteristics and Thermodynamical Properties of Ising Model Defined on the Network of Human Pyramidal Neurons. - Renato Aparecido Pimentel da Silva; Matheus Palhares Viana; Luciano da Fontoura Costa (CompleNet, 2010)

Unveiling the Neuromorphological Space. - Luciano da Fontoura Costa; Krissia Zawadzki; Mauro Miazaki; Matheus P. Viana; Sergei N. Taraskin (Frontiers Comput. Neurosci., 2010)

How Many Nodes are Effectively Accessed in Complex Networks? - Matheus P. Viana; João L. B. Batista; Luciano da F. Costa (CoRR, 2011)

Unveiling the Relationship Between Structure and Dynamics in Complex Networks - Cesar H. Comin; João B. Bunoro; Matheus P. Viana; Luciano da F. Costa (CoRR, 2011)

Investigating relationships within and between category networks in Wikipedia. - Filipi Nascimento Silva; Matheus Palhares Viana; Bruno Augusto Nassif Travençolo; Luciano da Fontoura Costa (J. Informetrics, 2011)

Predicting epidemic outbreak from individual features of the spreaders - Renato Aparecido Pimentel da Silva; Matheus Palhares Viana; Luciano da Fontoura Costa (CoRR, 2012)

Structure and Dynamics: the Transition from nonequilibrium to Equilibrium in Integrate-and-Fire Dynamics. - Cesar H. Comin; João L. B. Batista; Matheus P. Viana; Luciano da F. Costa; Bruno Augusto Nassif Travençolo; Marcus Kaiser (Int. J. Bifurc. Chaos, 2012)

Morphological Homogeneity of Neurons: Searching for Outlier Neuronal Cells. - Krissia Zawadzki; Christoph Feenders; Matheus P. Viana; Marcus Kaiser; Luciano da F. Costa (Neuroinformatics, 2012)

On time-varying collaboration networks. - Matheus P. Viana; Diego R. Amancio; Luciano da F. Costa (J. Informetrics, 2013)

Automated high-content morphological analysis of muscle fiber histology. - Mauro Miazaki; Matheus P. Viana; Zhong Yang; Cesar H. Comin; Yaming Wang; Luciano da F. Costa; Xiaoyin Xu (Comput. Biol. Medicine, 2015)

Multimodal Classification of Document Embedded Images. - Matheus P. Viana; Quoc-Bao Nguyen; John R. Smith; Maria Gabrani (GREC, 2017)

Fast CNN-Based Document Layout Analysis. - Matheus Palhares Viana; Dário Augusto Borges Oliveira (ICCV Workshops, 2017)

Wide residual networks for mitosis detection. - Erwan Zerhouni; David Lanyi; Matheus P. Viana; Maria Gabrani (ISBI, 2017)

Characterizing the Trabecular Bone Tissue of the Toco Toucan Bill. - Cesar H. Comin; Matheus P. Viana; Barbara Henning; Sérgio Furtado dos Reis; Thaís M. P. dos Santos; Ricardo T. Lopes; Luciano da F. Costa (ICIP, 2018)

An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networks. - Dário Augusto Borges Oliveira; Matheus Palhares Viana (ISBI, 2018)

Lung Nodule Synthesis Using CNN-Based Latent Data Representation. - Dário Augusto Borges Oliveira; Matheus Palhares Viana (SASHIMI@MICCAI, 2018)

Using 1D Patch-Based Signatures for Efficient Cascaded Classification of Lung Nodules. - Dário Augusto Borges Oliveira; Matheus Palhares Viana (Patch-MI@MICCAI, 2018)

Deep positive-unlabeled learning for region of interest localization in breast tissue images. - Pushpak Pati; Sonali Andani; Matthew Pediaditis; Matheus Palhares Viana; Jan Hendrik Rüschoff; Peter Wild; Maria Gabrani (Digital Pathology, 2018)

An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets. - Renato Luiz de Freitas Cunha; Eduardo R. Rodrigues; Matheus Palhares Viana; Dário Augusto Borges Oliveira (SBAC-PAD, 2018)

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. - Mitko Veta; Yujing J. Heng; Nikolas Stathonikos; Babak Ehteshami Bejnordi; Francisco Beca; Thomas Wollmann; Karl Rohr; Manan A. Shah; Dayong Wang; Mikaël Rousson; Martin Hedlund; David Tellez; et al. (CoRR, 2018)

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. - Mitko Veta; Yujing J. Heng; Nikolas Stathonikos; Babak Ehteshami Bejnordi; Francisco Beca; Thomas Wollmann; Karl Rohr; Manan A. Shah; Dayong Wang; Mikaël Rousson; Martin Hedlund; David Tellez; et al. (Medical Image Anal., 2019)