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Sérgio Pereira
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2020 – today
- 2024
- [e2]Seyed-Ahmad Ahmadi
, Sérgio Pereira:
Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology - 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings. Lecture Notes in Computer Science 14373, Springer 2024, ISBN 978-3-031-55087-4 [contents] - [i13]Biagio Brattoli, Mohammad Mostafavi, Taebum Lee, Wonkyung Jung, Jeongun Ryu, Seonwook Park, Jongchan Park, Sérgio Pereira, Seunghwan Shin, Sangjoon Choi, Hyojin Kim, Donggeun Yoo, Siraj M. Ali, Kyunghyun Paeng, Chan-Young Ock, Soo Ick Cho, Seokhwi Kim:
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. CoRR abs/2407.20643 (2024) - 2023
- [j9]Isabelle Ietka, Carlos Moutinho, Sérgio Pereira, Álvaro Cunha
Structural Monitoring of a Large-Span Arch Bridge Using Customized Sensors. Sensors 23(13): 5971 (2023) - [c14]Mingu Kang, Heon Song, Seonwook Park
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CVPR 2023: 3344-3354 - [c13]Jeongun Ryu, Aaron Valero Puche, Jaewoong Shin, Seonwook Park, Biagio Brattoli, Jinhee Lee, Wonkyung Jung, Soo Ick Cho, Kyunghyun Paeng, Chan-Young Ock, Donggeun Yoo, Sérgio Pereira
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CVPR 2023: 23902-23912 - [i12]Jeongun Ryu, Aaron Valero Puche, Jaewoong Shin, Seonwook Park
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CoRR abs/2303.13110 (2023) - 2022
- [c12]Manuela Ferreira
Science Mapping on Tourism and Technology: A Bibliometric Approach. ARTIIS (2) 2022: 256-268 - [c11]Chunggi Lee, Seonwook Park
Interactive Multi-Class Tiny-Object Detection. CVPR 2022: 14116-14125 - [c10]Cholmin Kang
Variability Matters: Evaluating Inter-Rater Variability in Histopathology for Robust Cell Detection. ECCV Workshops (7) 2022: 552-565 - [i11]Chunggi Lee, Seonwook Park
Interactive Multi-Class Tiny-Object Detection. CoRR abs/2203.15266 (2022) - [i10]Cholmin Kang, Chunggi Lee, Heon Song, Minuk Ma, Sérgio Pereira:
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection. CoRR abs/2210.05175 (2022) - [i9]Mingu Kang, Heon Song, Seonwook Park
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CoRR abs/2212.04690 (2022) - 2021
- [j8]Adriano Pinto, Sérgio Pereira
Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical Image Anal. 69: 101888 (2021) - [i8]Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Combining unsupervised and supervised learning for predicting the final stroke lesion. CoRR abs/2101.00489 (2021) - [i7]Carlos A. Silva, Adriano Pinto, Sérgio Pereira, Ana Lopes:
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation. CoRR abs/2101.00490 (2021) - [i6]Sérgio Pereira, David Cerdeira, Cristiano Rodrigues, Sandro Pinto:
Towards a Trusted Execution Environment via Reconfigurable FPGA. CoRR abs/2107.03781 (2021) - 2020
- [c9]Carlos A. Silva, Adriano Pinto, Sérgio Pereira
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 179-188 - [i5]Sérgio Pereira, Adriano Pinto, Joana Amorim, Alexandrine Ribeiro, Victor Alves, Carlos A. Silva:
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks. CoRR abs/2006.11193 (2020)
2010 – 2019
- 2019
- [j7]Sérgio Pereira
Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks. IEEE Trans. Medical Imaging 38(12): 2914-2925 (2019) - 2018
- [j6]Américo Oliveira
Retinal vessel segmentation based on Fully Convolutional Neural Networks. Expert Syst. Appl. 112: 229-242 (2018) - [j5]Sérgio Pereira
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. Medical Image Anal. 44: 228-244 (2018) - [j4]Adriano Pinto
Hierarchical brain tumour segmentation using extremely randomized trees. Pattern Recognit. 82: 105-117 (2018) - [c8]Sérgio Pereira
Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. MLCN/DLF/iMIMIC@MICCAI 2018: 106-114 - [c7]Adriano Pinto, Sérgio Pereira
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. MICCAI (3) 2018: 107-115 - [c6]Sérgio Pereira
Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI. MICCAI (3) 2018: 706-714 - [e1]Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier:
Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11038, Springer 2018, ISBN 978-3-030-02627-1 [contents] - [i4]Sérgio Pereira, Victor Alves, Carlos A. Silva:
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI. CoRR abs/1806.02318 (2018) - [i3]Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction. CoRR abs/1806.04413 (2018) - [i2]Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment. CoRR abs/1809.09468 (2018) - [i1]Américo Oliveira, Sérgio Pereira, Carlos A. Silva:
Retinal vessel segmentation based on Fully Convolutional Neural Networks. CoRR abs/1812.07110 (2018) - 2016
- [j3]Sérgio Pereira
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images. IEEE Trans. Medical Imaging 35(5): 1240-1251 (2016) - 2015
- [j2]Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 2015: 813696:1-813696:16 (2015) - [j1]Bjoern H. Menze
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c5]Sérgio Pereira, José Antonio Mariz, Nuno J. Sousa, J. H. Correia, Carlos A. Silva:
A Fully Automatic Tool for Counting Virchow-Robin Spaces in Magnetic Resonance Imaging for Lacunar Stroke Study. BIOIMAGING 2015: 69-75 - [c4]Jorge Oliveira, Sérgio Pereira
Sparse high order potentials for extending multi-surface segmentation of OCT images with drusen. EMBC 2015: 2952-2955 - [c3]Adriano Pinto, Sérgio Pereira
Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features. EMBC 2015: 3037-3040 - [c2]Sérgio Pereira
Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI. Brainles@MICCAI 2015: 131-143 - 2014
- [c1]Rui Pereira, Carla Barros
A middleware for intelligent environments in ambient assisted living. EMBC 2014: 5924-5927
Coauthor Index
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