Matheus Palhares Viana

14 papers C 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bright 4B: Scaling Hyperspherical Learning for Segmentation in 3D Brightfield Microscopy.
CoRR
Amil Khan, Matheus Palhares Viana, Suraj Mishra, B. S. Manjunath
2019 J jnl
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Medical Image Anal.
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, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim
2018 C conf
An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets.
SBAC-PAD
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira
2018 J jnl
An argument in favor of strong scaling for deep neural networks with small datasets.
CoRR
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira
2018 — conf
An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networks.
ISBI
Dário Augusto Borges Oliveira, Matheus Palhares Viana
2018 — conf
Deep positive-unlabeled learning for region of interest localization in breast tissue images.
Digital Pathology
Pushpak Pati, Sonali Andani, Matthew Pediaditis, Matheus Palhares Viana, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani
2018 — conf
Lung Nodule Synthesis Using CNN-Based Latent Data Representation.
SASHIMI@MICCAI
Dário Augusto Borges Oliveira, Matheus Palhares Viana
2018 J jnl
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR
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, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
2018 — conf
Using 1D Patch-Based Signatures for Efficient Cascaded Classification of Lung Nodules.
Patch-MI@MICCAI
Dário Augusto Borges Oliveira, Matheus Palhares Viana
2017 — conf
Fast CNN-Based Document Layout Analysis.
ICCV Workshops
Matheus Palhares Viana, Dário Augusto Borges Oliveira
2012 J jnl
Predicting epidemic outbreak from individual features of the spreaders
CoRR
Renato Aparecido Pimentel da Silva, Matheus Palhares Viana, Luciano da Fontoura Costa
2011 J jnl
Investigating relationships within and between category networks in Wikipedia.
J. Informetrics
Filipi Nascimento Silva, Matheus Palhares Viana, Bruno Augusto Nassif Travençolo, Luciano da Fontoura Costa
2010 — conf
The Effect of Host Morphology on Network Characteristics and Thermodynamical Properties of Ising Model Defined on the Network of Human Pyramidal Neurons.
CompleNet
Renato Aparecido Pimentel da Silva, Matheus Palhares Viana, Luciano da Fontoura Costa
2005 J jnl
A spectral framework for sperm shape characterization.
Comput. Biol. Medicine
Marcelo Emílio Beletti, Luciano da Fontoura Costa, Matheus Palhares Viana