249 citations · 603 across the 12 of their papers we have counts for
6 papers · 1 filter
2D/3D Megavoltage Image Registration Using Convolutional Neural Networks
Hector N. B. Pinheiro, Tsang Ing Ren, Stefan Scheib +2
We presented a 2D/3D MV image registration method based on a Convolutional Neural Network. Most of the traditional image registration method intensity-based, which use optimization…
A Method For Dynamic Ensemble Selection Based on a Filter and an Adaptive Distance to Improve the Quality of the Regions of Competence
Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren
Dynamic classifier selection systems aim to select a group of classifiers that is most adequate for a specific query pattern. This is done by defining a region around the query pat…
Burst ranking for blind multi-image deblurring
Fidel A. Guerrero Peña, Pedro D. Marrero Fernández, Tsang Ing Ren +2
We propose a new incremental aggregation algorithm for multi-image deblurring with automatic image selection. The primary motivation is that current bursts deblurring methods do no…
Fast and Robust Multiple ColorChecker Detection using Deep Convolutional Neural Networks
Pedro D. Marrero Fernandez, Fidel A. Guerrero-Peña, Tsang Ing Ren +1
ColorCheckers are reference standards that professional photographers and filmmakers use to ensure predictable results under every lighting condition. The objective of this work is…
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti +1
Dynamic ensemble selection systems work by estimating the level of competence of each classifier from a pool of classifiers. Only the most competent ones are selected to classify a…
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
Fidel A. Guerrero-Pena, Pedro D. Marrero Fernandez, Tsang Ing Ren +3
We propose a new multiclass weighted loss function for instance segmentation of cluttered cells. We are primarily motivated by the need of developmental biologists to quantify and…