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ORCIDAlexandre X. Falcão
Alexandre Xavier Falcão
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- affiliation: University of Campinas, Sao Paulo, Brazil
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2020 – today
- 2023
[c168]Barbara Caroline Benato, Alexandre Xavier Falcão, Alexandru Cristian Telea:
Linking Data Separation, Visual Separation, and Classifier Performance Using Pseudo-labeling by Contrastive Learning. VISIGRAPP (5: VISAPP) 2023: 315-324- [i27]Barbara Caroline Benato, Alexandre Xavier Falcão, Alexandru Cristian Telea:
Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning. CoRR abs/2302.02663 (2023) - [i26]Filip Malmberg, Alexandre X. Falcão:
A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs. CoRR abs/2304.12642 (2023) - 2022
- [j81]Ademir Marques Junior
, Alexandre Xavier Falcão, Graciela Eliane dos Reis Racolte, Eniuce Menezes De Souza, Leonardo Bachi, Caroline Lessio Cazarin, Luiz Gonzaga, Maurício Roberto Veronez:
Interactive Fracture Segmentation Based on Optimum Connectivity Between Superpixels. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j80]Italos Estilon de Souza, Caroline Lessio Cazarin, Maurício Roberto Veronez, Luiz Gonzaga, Alexandre Xavier Falcão:
User-Guided Data Expansion Modeling to Train Deep Neural Networks With Little Supervision. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j79]Italos Estilon de Souza, Alexandre Xavier Falcão:
Learning CNN Filters From User-Drawn Image Markers for Coconut-Tree Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j78]Jordão Bragantini, Alexandre X. Falcão, Laurent Najman:
Rethinking interactive image segmentation: Feature space annotation. Pattern Recognit. 131: 108882 (2022) - [c167]Felipe Belém, Isabela Borlido, Leonardo de Melo Joao, Benjamin Perret, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Alexandre X. Falcão:
Fast and Effective Superpixel Segmentation Using Accurate Saliency Estimation. DGMM 2022: 261-273 - [c166]Ilan F. Da Silva, Azael M. Sousa, Alexandre X. Falcão, Jordão Bragantini:
Differential Dynamic Trees for Interactive Image Segmentation. ICPR 2022: 4328-4334 - [c165]Azael de Melo e Sousa, Ilan F. Da Silva, Noemí Maritza Lapa Romero, Rachel Zerbini, Fabiano Reis, João Luiz Dihl Comba, Alexandre X. Falcão:
Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura. ISBI 2022: 1-5 - [c164]Isabela Borlido Barcelos, Felipe de Castro Belém, Leonardo de Melo Joao, Alexandre X. Falcão, Silvio Jamil Ferzoli Guimarães:
Improving color homogeneity measure in superpixel segmentation assessment. SIBGRAPI 2022: 79-84 - [i25]Felipe Belém, Benjamin Perret, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Alexandre X. Falcão:
Efficient Multiscale Object-based Superpixel Framework. CoRR abs/2204.03533 (2022) - 2021
- [j77]John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão:
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient. Int. J. Geogr. Inf. Sci. 35(9): 1725-1745 (2021) - [j76]Barbara Caroline Benato, Jancarlo F. Gomes, Alexandru C. Telea, Alexandre X. Falcão:
Semi-automatic data annotation guided by feature space projection. Pattern Recognit. 109: 107612 (2021) - [j75]Daniel Osaku, Jancarlo Ferreira Gomes, Alexandre Xavier Falcão:
Convolutional neural network simplification with progressive retraining. Pattern Recognit. Lett. 150: 235-241 (2021) - [c163]Alexandre Xavier Falcão:
Interactive Design of Convolutional Neural Networks for Medical Image Analysis. Bildverarbeitung für die Medizin 2021: 2 - [c162]David Aparco-Cardenas, Pedro J. de Rezende, Alexandre X. Falcão:
Object Delineation by Iterative Dynamic Trees. CIARP 2021: 131-140 - [c161]Barbara Caroline Benato, Jancarlo F. Gomes, Alexandru C. Telea, Alexandre Xavier Falcão:
Semi-supervised Deep Learning Based on Label Propagation in a 2D Embedded Space. CIARP 2021: 371-381 - [c160]Isabela Borlido Barcelos, Felipe Belém, Paulo André Vechiatto Miranda, Alexandre Xavier Falcão, Zenilton K. G. do Patrocínio, Silvio Jamil Ferzoli Guimarães:
Towards Interactive Image Segmentation by Dynamic and Iterative Spanning Forest. DGMM 2021: 351-364 - [c159]Carolina Stephanie Jerônimo de Almeida, Felipe Belém, Sarah Almeida Carneiro, Zenilton K. G. do Patrocínio, Laurent Najman, Alexandre Xavier Falcão, Silvio Jamil Ferzoli Guimarães:
Graph-Based Supervoxel Computation from Iterative Spanning Forest. DGMM 2021: 404-415 - [c158]Azael de Melo e Sousa, Fabiano Reis, Rachel Zerbini, João Luiz Dihl Comba, Alexandre X. Falcão:
CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images. EMBC 2021: 3169-3172 - [c157]Jieying Wang, Leonardo de Melo Joao, Alexandre X. Falcão, Jirí Kosinka, Alexandru C. Telea:
Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps. VISIGRAPP (Revised Selected Papers) 2021: 279-302 - [c156]Barbara Caroline Benato, Alexandru C. Telea, Alexandre X. Falcão:
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling. SIBGRAPI 2021: 192-198 - [c155]Felipe de Castro Belém, Benjamin Perret, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Alexandre X. Falcão:
Towards a Simple and Efficient Object-based Superpixel Delineation Framework. SIBGRAPI 2021: 346-353 - [c154]Jieying Wang, Leonardo de Melo Joao, Alexandre X. Falcão, Jirí Kosinka, Alexandru C. Telea:
Focus-and-Context Skeleton-based Image Simplification using Saliency Maps. VISIGRAPP (4: VISAPP) 2021: 45-55 - [i24]Jordão Bragantini, Alexandre X. Falcão, Laurent Najman:
Rethinking Interactive Image Segmentation: Feature Space Annotation. CoRR abs/2101.04378 (2021) - [i23]Daniel Osaku, Jancarlo F. Gomes, Alexandre X. Falcão:
Convolutional Neural Network Simplification with Progressive Retraining. CoRR abs/2101.04699 (2021) - [i22]Daniel Osaku, Carolina F. Cuba, Celso T. N. Suzuki, Jancarlo F. Gomes, Alexandre X. Falcão:
Automated Diagnosis of Intestinal Parasites: A new hybrid approach and its benefits. CoRR abs/2101.06310 (2021) - [i21]Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa:
Intestinal Parasites Classification Using Deep Belief Networks. CoRR abs/2101.06747 (2021) - [i20]Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa:
Hierarchical Learning Using Deep Optimum-Path Forest. CoRR abs/2102.09312 (2021) - [i19]Barbara Caroline Benato, Alexandru C. Telea, Alexandre X. Falcão:
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling. CoRR abs/2109.02717 (2021) - [i18]Azael de Melo e Sousa, Fabiano Reis, Rachel Zerbini, João Luiz Dihl Comba, Alexandre X. Falcão:
CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images. CoRR abs/2111.08710 (2021) - [i17]Leonardo de Melo Joao, Alexandre Xavier Falcão:
Saliency Enhancement using Superpixel Similarity. CoRR abs/2112.00665 (2021) - 2020
- [j74]Daniel Osaku, Carolina F. Cuba, Celso T. N. Suzuki, Jancarlo F. Gomes, Alexandre X. Falcão:
Automated diagnosis of intestinal parasites: A new hybrid approach and its benefits. Comput. Biol. Medicine 123: 103917 (2020) - [j73]Samuel Botter Martins, Alexandru C. Telea, Alexandre X. Falcão:
Investigating the impact of supervoxel segmentation for unsupervised abnormal brain asymmetry detection. Comput. Medical Imaging Graph. 85: 101770 (2020) - [j72]Marcos A. T. Condori, Fábio A. M. Cappabianco, Alexandre X. Falcão, Paulo A. V. Miranda:
An extension of the differential image foresting transform and its application to superpixel generation. J. Vis. Commun. Image Represent. 71: 102748 (2020) - [j71]Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa:
Hierarchical learning using deep optimum-path forest. J. Vis. Commun. Image Represent. 71: 102823 (2020) - [j70]Felipe Lemes Galvão, Silvio Jamil Ferzoli Guimarães, Alexandre Xavier Falcão:
Image segmentation using dense and sparse hierarchies of superpixels. Pattern Recognit. 108: 107532 (2020) - [j69]Jordão Bragantini, Bruno Moura, Alexandre X. Falcão, Fábio A. M. Cappabianco:
Grabber: A tool to improve convergence in interactive image segmentation. Pattern Recognit. Lett. 140: 267-273 (2020) - [j68]Felipe Belém, Silvio Jamil Ferzoli Guimarães, Alexandre X. Falcão:
Superpixel Segmentation Using Dynamic and Iterative Spanning Forest. IEEE Signal Process. Lett. 27: 1440-1444 (2020) - [j67]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Clarissa L. Yasuda, Magdalena J. Sokolska, Hans Rolf Jäger, Nils Daniel Forkert:
Segmentation-Based Blood Flow Parameter Refinement in Cerebrovascular Structures Using 4-D Arterial Spin Labeling MRA. IEEE Trans. Biomed. Eng. 67(7): 1936-1946 (2020) - [c153]Samuel Botter Martins, Alexandre X. Falcão, Alexandru C. Telea:
BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification. BIOIMAGING 2020: 74-81 - [c152]Samuel Botter Martins, Alexandre Xavier Falcão, Alexandru Cristian Telea:
Combining Registration Errors and Supervoxel Classification for Unsupervised Brain Anomaly Detection. BIOSTEC (Selected Papers) 2020: 140-164 - [c151]César Castelo-Fernández, Alexandre X. Falcão:
Improving Supervised Superpixel-Based Codebook Representations by Local Convolutional Features. ECAI 2020: 1055-1062 - [c150]Azael de Melo e Sousa, César Castelo-Fernández, Daniel Osaku, Ericson Bagatin, Fabiano Reis, Alexandre X. Falcão:
An Approach for Asbestos-related Pleural Plaque Detection. EMBC 2020: 1343-1346 - [c149]Mateus Espadoto, Nina S. T. Hirata, Alexandre X. Falcão, Alexandru C. Telea:
Improving Neural Network-based Multidimensional Projections. VISIGRAPP (3: IVAPP) 2020: 29-41 - [c148]Terri S. Modrakowski, Mateus Espadoto, Alexandre X. Falcão, Nina S. T. Hirata, Alexandru C. Telea:
Improving Deep Learning Projections by Neighborhood Analysis. VISIGRAPP (Revised Selected Papers) 2020: 127-152 - [c147]Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa:
Intestinal Parasites Classification Using Deep Belief Networks. ICAISC (1) 2020: 242-251 - [c146]Elvis R. Capia, Azael de Melo e Sousa, Alexandre X. Falcão:
Improving Lung Nodule Detection with Learnable Non-Maximum Suppression. ISBI 2020: 1861-1865 - [c145]Italos Estilon de Souza, Barbara Caroline Benato, Alexandre Xavier Falcão:
Feature Learning from Image Markers for Object Delineation. SIBGRAPI 2020: 116-123 - [i16]Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão:
OPFython: A Python-Inspired Optimum-Path Forest Classifier. CoRR abs/2001.10420 (2020) - [i15]Leonardo de Melo Joao, Felipe de Castro Belém, Alexandre Xavier Falcão:
ITSELF: Iterative Saliency Estimation fLexible Framework. CoRR abs/2006.16956 (2020) - [i14]Felipe de Castro Belém, Silvio Jamil Ferzoli Guimarães, Alexandre Xavier Falcão:
Superpixel Segmentation using Dynamic and Iterative Spanning Forest. CoRR abs/2007.04257 (2020) - [i13]John E. Vargas, Shivangi Srivastava, Devis Tuia, Alexandre X. Falcão:
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing. CoRR abs/2007.06277 (2020) - [i12]Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea, Alexandre Xavier Falcão:
Semi-Automatic Data Annotation guided by Feature Space Projection. CoRR abs/2007.13689 (2020) - [i11]Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea, Alexandre Xavier Falcão:
Semi-supervised deep learning based on label propagation in a 2D embedded space. CoRR abs/2008.00558 (2020) - [i10]Italos Estilon de Souza, Alexandre Xavier Falcão:
Learning CNN filters from user-drawn image markers for coconut-tree image classification. CoRR abs/2008.03549 (2020) - [i9]John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão:
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient. CoRR abs/2009.08188 (2020) - [i8]Barbara Caroline Benato, Italos Estilon de Souza, Felipe L. Galvão, Alexandre X. Falcão:
Convolutional Neural Networks from Image Markers. CoRR abs/2012.12108 (2020)
2010 – 2019
- 2019
- [j66]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Thomas W. Okell, Nils D. Forkert:
A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms. Medical Image Anal. 56: 184-192 (2019) - [j65]Alexandre Yukio Yamashita, Alexandre Xavier Falcão, Neucimar Jerônimo Leite:
The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease. Neuroinformatics 17(2): 307-321 (2019) - [j64]John E. Vargas-Munoz, Ananda S. Chowdhury, Eduardo Barreto-Alexandre, Felipe L. Galvão, Paulo André Vechiatto Miranda, Alexandre X. Falcão:
An Iterative Spanning Forest Framework for Superpixel Segmentation. IEEE Trans. Image Process. 28(7): 3477-3489 (2019) - [c144]César Castelo-Fernández, Alexandre X. Falcão:
Learning Visual Dictionaries from Class-Specific Superpixel Segmentation. CAIP (1) 2019: 171-182 - [c143]Alexandre X. Falcão, Jordão Bragantini:
The Role of Optimum Connectivity in Image Segmentation: Can the Algorithm Learn Object Information During the Process? DGCI 2019: 180-194 - [c142]Samuel Botter Martins, Alexandru C. Telea, Alexandre X. Falcão:
Extending Supervoxel-based Abnormal Brain Asymmetry Detection to the Native Image Space. EMBC 2019: 450-453 - [c141]John E. Vargas-Muñoz, Ping Zhou, Alexandre X. Falcão, Devis Tuia:
Interactive Coconut Tree Annotation Using Feature Space Projections. IGARSS 2019: 5718-5721 - [c140]Rafael Garcia, Alexandre Xavier Falcão, Alexandru C. Telea, Bruno Castro da Silva, Jim Tørresen, João Luiz Dihl Comba:
A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. IJCNN 2019: 1-10 - [c139]Samuel Botter Martins, Guilherme C. S. Ruppert, Fabiano Reis, Clarissa L. Yasuda, Alexandre X. Falcão:
A Supervoxel-Based Approach for Unsupervised Abnormal Asymmetry Detection in Mr Images of the Brain. ISBI 2019: 882-885 - [c138]Samuel Botter Martins, Barbara Caroline Benato, Bruna Ferreira Silva, Clarissa Lyn Yasuda, Alexandre Xavier Falcão:
Modeling normal brain asymmetry in MR images applied to anomaly detection without segmentation and data annotation. Medical Imaging: Computer-Aided Diagnosis 2019: 109500C - [c137]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils D. Forkert:
The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - A Flow Phantom Study. MLMECH/CVII-STENT@MICCAI 2019: 141-148 - [c136]Azael de Melo e Sousa, Alexandre Xavier Falcão, Ericson Bagatin, Gustavo Souza Meirelles:
A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax. Medical Imaging: Image Processing 2019: 109490Z - [c135]Nicolás Gutierrez-Castilla, Ricardo da Silva Torres, Alexandre X. Falcão, Sebastian Kozerke, Jürg Schwitter, Pier-Giorgio Masci, Javier A. Montoya-Zegarra:
Long-Range Decoder Skip Connections: Exploiting Multi-Context Information for Cardiac Image Segmentation. SIBGRAPI 2019: 60-67 - [c134]Felipe Belém, Leonardo de Melo Joao, Silvio Jamil Ferzoli Guimarães, Alexandre X. Falcão:
The Importance of Object-Based Seed Sampling for Superpixel Segmentation. SIBGRAPI 2019: 108-115 - [i7]John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, Devis Tuia:
Correcting rural building annotations in OpenStreetMap using convolutional neural networks. CoRR abs/1901.08190 (2019) - 2018
- [j63]Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa:
Multi-label semi-supervised classification through optimum-path forest. Inf. Sci. 465: 86-104 (2018) - [j62]Paulo E. Rauber, Alexandre X. Falcão, Alexandru C. Telea:
Projections as visual aids for classification system design. Inf. Vis. 17(4): 282-305 (2018) - [j61]Krzysztof Chris Ciesielski, Alexandre Xavier Falcão, Paulo A. V. Miranda:
Path-Value Functions for Which Dijkstra's Algorithm Returns Optimal Mapping. J. Math. Imaging Vis. 60(7): 1025-1036 (2018) - [j60]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils Daniel Forkert:
Automatic Temporal Segmentation of Vessels of the Brain Using 4D ASL MRA Images. IEEE Trans. Biomed. Eng. 65(7): 1486-1494 (2018) - [c133]Felipe Belém, Silvio Jamil Ferzoli Guimarães, Alexandre Xavier Falcão:
Superpixel Segmentation by Object-Based Iterative Spanning Forest. CIARP 2018: 334-341 - [c132]Jordão Bragantini, Samuel Botter Martins, César Castelo-Fernández, Alexandre Xavier Falcão:
Graph-Based Image Segmentation Using Dynamic Trees. CIARP 2018: 470-478 - [c131]John E. Vargas-Munoz, Diego Marcos, Sylvain Lobry, Jefersson A. dos Santos, Alexandre X. Falcão, Devis Tuia:
Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence. IGARSS 2018: 1284-1287 - [c130]Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha:
Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection. ISBI 2018: 382-386 - [c129]Thiago Vallin Spina, Johannes Stegmaier, Alexandre X. Falcão, Elliot Meyerowitz, Alexandre Cunha:
SEGMENT3D: A web-based application for collaborative segmentation of 3D images used in the shoot apical meristem. ISBI 2018: 391-395 - [c128]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils Daniel Forkert:
Robust cerebrovascular segmentation in 4D ASL MRA images. ISBI 2018: 1348-1351 - [c127]Renzo Phellan, Thomas Lindner, Michael Helle, Thiago Vallin Spina, Alexandre X. Falcão, Nils Daniel Forkert:
Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling. CVII-STENT/LABELS@MICCAI 2018: 131-139 - [c126]Alan Zanoni Peixinho, Barbara Caroline Benato, Luis Gustavo Nonato, Alexandre Xavier Falcão:
Delaunay Triangulation Data Augmentation Guided by Visual Analytics for Deep Learning. SIBGRAPI 2018: 384-391 - [c125]Barbara Caroline Benato, Alexandru Cristian Telea, Alexandre Xavier Falcão:
Semi-Supervised Learning with Interactive Label Propagation Guided by Feature Space Projections. SIBGRAPI 2018: 392-399 - [c124]Felipe Lemes Galvão, Alexandre Xavier Falcão, Ananda Shankar Chowdhury:
RISF: Recursive Iterative Spanning Forest for Superpixel Segmentation. SIBGRAPI 2018: 408-415 - [c123]Adan Echemendia Montero, Alexandre Xavier Falcão:
A Divide-and-Conquer Clustering Approach Based on Optimum-Path Forest. SIBGRAPI 2018: 416-423 - [i6]John E. Vargas-Muñoz, Ananda S. Chowdhury, Eduardo Barreto-Alexandre, Felipe L. Galvão, Paulo André Vechiatto Miranda, Alexandre X. Falcão:
An Iterative Spanning Forest Framework for Superpixel Segmentation. CoRR abs/1801.10041 (2018) - 2017
- [j59]Guilherme C. S. Ruppert, Giovani Chiachia, Felipe P. G. Bergo, Fernanda O. Favretto, Clarissa L. Yasuda, Anderson Rocha, Alexandre X. Falcão:
Medical image registration based on watershed transform from greyscale marker and multi-scale parameter search. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(2): 138-156 (2017) - [j58]João Paulo Papa, Silas Evandro Nachif Fernandes, Alexandre Xavier Falcão:
Optimum-Path Forest based on k-connectivity: Theory and applications. Pattern Recognit. Lett. 87: 117-126 (2017) - [j57]Paulo E. Rauber, Samuel G. Fadel, Alexandre X. Falcão, Alexandru C. Telea:
Visualizing the Hidden Activity of Artificial Neural Networks. IEEE Trans. Vis. Comput. Graph. 23(1): 101-110 (2017) - [c122]John E. Vargas-Munoz, Devis Tuia, Jefersson A. dos Santos, Alexandre X. Falcão:
Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation. IGARSS 2017: 3688-3691 - [c121]Anderson Carlos Moreira Tavares, Paulo André Vechiatto Miranda, Thiago Vallin Spina, Alexandre Xavier Falcão:
A Supervoxel-Based Solution to Resume Segmentation for Interactive Correction by Differential Image-Foresting Transforms. ISMM 2017: 107-118 - [c120]Renzo Phellan, Thomas Lindner, Alexandre X. Falcão, Nils Daniel Forkert:
Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain. Medical Imaging: Computer-Aided Diagnosis 2017: 101341B - [c119]Renzo Phellan, Alan Peixinho, Alexandre X. Falcão, Nils Daniel Forkert:
Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network. CVII-STENT/LABELS@MICCAI 2017: 39-46 - [c118]Samuel Botter Martins, Thiago Vallin Spina, Clarissa L. Yasuda, Alexandre X. Falcão:
A multi-object statistical atlas adaptive for deformable registration errors in anomalous medical image segmentation. Medical Imaging: Image Processing 2017: 101332G - [c117]Marcos Ademir Tejada Condori, Fabio Augusto Menocci Cappabianco, Alexandre Xavier Falcão, Paulo André Vechiatto Miranda:
Extending the Differential Image Foresting Transform to Root-Based Path-Cost Functions with Application to Superpixel Segmentation. SIBGRAPI 2017: 7-14 - [c116]Samuel Botter Martins, Giovani Chiachia, Alexandre Xavier Falcão:
A Fast and Robust Negative Mining Approach for Enrollment in Face Recognition Systems. SIBGRAPI 2017: 201-208 - [i5]Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha:
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection. CoRR abs/1710.06608 (2017) - [i4]Thiago Vallin Spina, Johannes Stegmaier, Alexandre X. Falcão, Elliot Meyerowitz, Alexandre Cunha:
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem. CoRR abs/1710.09933 (2017) - 2016
- [j56]Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa, Marcelo Henriques de Carvalho:
Improving semi-supervised learning through optimum connectivity. Pattern Recognit. 60: 72-85 (2016) - [c115]Thiago Vallin Spina, Samuel Botter Martins, Alexandre Xavier Falcão:
Interactive Medical Image Segmentation by Statistical Seed Models. SIBGRAPI 2016: 273-280 - [c114]Luis Claudio Sugi Afonso, Alexandre Campane Vidal, Michelle Kuroda, Alexandre Xavier Falcão, João Paulo Papa:
Learning to Classify Seismic Images with Deep Optimum-Path Forest. SIBGRAPI 2016: 401-407 - [c113]Paulo E. Rauber, Alexandre X. Falcão, Alexandru C. Telea:
Visualizing Time-Dependent Data Using Dynamic t-SNE. EuroVis (Short Papers) 2016: 73-77 - [p1]João Paulo Papa, Willian Paraguassu Amorim, Alexandre Xavier Falcão, João Manuel R. S. Tavares:
Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning. Handbook of Pattern Recognition and Computer Vision 2016: 109-123 - [i3]Thiago Vallin Spina, Alexandre Xavier Falcão:
FOMTrace: Interactive Video Segmentation By Image Graphs and Fuzzy Object Models. CoRR abs/1606.03369 (2016) - 2015
- [j55]Kelton A. P. Costa, Luís A. M. Pereira, Rodrigo Y. M. Nakamura, Clayton R. Pereira, João P. Papa, Alexandre Xavier Falcão:
A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks. Inf. Sci. 294: 95-108 (2015) - [j54]Daniel Osaku, Rodrigo Y. M. Nakamura, Luís A. M. Pereira, Rodrigo Jose Pisani, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falcão, João Paulo Papa:
Improving land cover classification through contextual-based optimum-path forest. Inf. Sci. 324: 60-87 (2015) - [j53]Priscila T. M. Saito, Celso T. N. Suzuki, Jancarlo F. Gomes, Pedro Jussieu de Rezende, Alexandre X. Falcão:
Robust active learning for the diagnosis of parasites. Pattern Recognit. 48(11): 3572-3583 (2015) - [j52]