| Data clustering as an optimum‐path forest problem with applications in image analysis LM Rocha, FAM Cappabianco, AX Falcão International Journal of Imaging Systems and Technology 19 (2), 50-68, 2009 | 186 | 2009 |
| Characterization of dual effects induced by antimicrobial peptides: regulated cell death or membrane disruption EJ Paredes-Gamero, MNC Martins, FAM Cappabianco, JS Ide, A Miranda Biochimica et Biophysica Acta (BBA)-General Subjects 1820 (7), 1062-1072, 2012 | 136 | 2012 |
| Autonomous visual navigation for mobile robots: A systematic literature review YDV Yasuda, LEG Martins, FAM Cappabianco ACM Computing Surveys (CSUR) 53 (1), 1-34, 2020 | 112 | 2020 |
| A multimodal evaluation of microstructural white matter damage in spinocerebellar ataxia type 3 RP Guimarães, A D'Abreu, CL Yasuda, MC Franca Jr, BHB Silva, ... Movement Disorders 28 (8), 1125-1132, 2013 | 74 | 2013 |
| Anisotropic diffusion filtering operation and limitations-magnetic resonance imaging evaluation CA Palma, FAM Cappabianco, JS Ide, PAV Miranda IFAC Proceedings Volumes 47 (3), 3887-3892, 2014 | 66 | 2014 |
| Brain tissue MR-image segmentation via optimum-path forest clustering FAM Cappabianco, AX Falcao, CL Yasuda, JK Udupa Computer Vision and Image Understanding 116 (10), 1047-1059, 2012 | 56 | 2012 |
| Explainable deep CNNs for MRI-based diagnosis of Alzheimer’s disease E Nigri, N Ziviani, F Cappabianco, A Antunes, A Veloso 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 48 | 2020 |
| Oriented image foresting transform segmentation: Connectivity constraints with adjustable width LAC Mansilla, PAV Miranda 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2016 | 46 | 2016 |
| Aircraft visual inspection: A systematic literature review YDV Yasuda, FAM Cappabianco, LEG Martins, JAB Gripp Computers in Industry 141, 103695, 2022 | 41 | 2022 |
| A practical review on medical image registration: From rigid to deep learning based approaches N Andrade, FA Faria, FAM Cappabianco 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2018 | 39 | 2018 |
| Classification of detected changes from multitemporal high-res Xband SAR images: intensity and texture descriptors from SuperPixels TLM Barreto, RAS Rosa, C Wimmer, JR Moreira, LS Bins, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 37 | 2016 |
| Memory impairment is not necessarily related to seizure frequency in mesial temporal lobe epilepsy with hippocampal sclerosis D Pacagnella, TM Lopes, ME Morita, CL Yasuda, FAM Cappabianco, ... Epilepsia 55 (8), 1197-1204, 2014 | 27 | 2014 |
| Optimizing optimum-path forest classification for huge datasets JP Papa, FAM Cappabianco, AX Falcao 2010 20th International Conference on Pattern Recognition, 4162-4165, 2010 | 24 | 2010 |
| Improving land cover classification through contextual-based optimum-path forest D Osaku, RYM Nakamura, LAM Pereira, RJ Pisani, ALM Levada, ... Information Sciences 324, 60-87, 2015 | 23 | 2015 |
| Deforestation change detection using high-resolution multi-temporal X-Band SAR images and supervised learning classification TLM Barreto, RAS Rosa, C Wimmer, JB Nogueira, J Almeida, ... 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 19 | 2016 |
| Image segmentation by image foresting transform with non-smooth connectivity functions LAC Mansilla, PAVV Miranda, FAM Cappabianco 2013 XXVI Conference on Graphics, Patterns and Images, 147-154, 2013 | 19 | 2013 |
| A general and balanced region-based metric for evaluating medical image segmentation algorithms FAM Cappabianco, PFO Ribeiro, PAV De Miranda, JK Udupa 2019 IEEE international conference on image processing (ICIP), 1525-1529, 2019 | 18 | 2019 |
| Clustering by optimum path forest and its application to automatic GM/WM classification in MR-T1 images of the brain FAM Cappabianco, AX Falcao, LM Rocha 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008 | 18 | 2008 |
| How to fix any 3D segmentation interactively via image foresting transform and its use in MRI brain segmentation PAV Miranda, AX Falcão, GCS Ruppert, FAM Cappabianco 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 17 | 2011 |
| An extension of the differential image foresting transform and its application to superpixel generation MAT Condori, FAM Cappabianco, AX Falcão, PAV Miranda Journal of Visual Communication and Image Representation 71, 102748, 2020 | 13 | 2020 |
Falcao, A.X.Professor of Computer Science, University of Campinas在 ic.unicamp.br 的电子邮件经过验证
