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ORCIDAurélio J. C. Campilho
Aurélio C. Campilho – Aurélio Campilho
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- affiliation: Universidade do Porto
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2020 – today
- 2024
[j37]Joana Rocha
, Sofia Cardoso Pereira, João Pedrosa, Aurélio Campilho, Ana Maria Mendonça:
STERN: Attention-driven Spatial Transformer Network for abnormality detection in chest X-ray images. Artif. Intell. Medicine 147: 102737 (2024)- [j36]Sofia Cardoso Pereira, Ana Maria Mendonça, Aurélio Campilho, Pedro Sousa, Carla Teixeira Lopes:
Automated image label extraction from radiology reports - A review. Artif. Intell. Medicine 149: 102814 (2024) - [j35]Carlos A. Ferreira, Kiran Vaidhya Venkadesh, Colin Jacobs, Miguel T. Coimbra, Aurélio Campilho:
Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging. Biomed. Signal Process. Control. 96: 106625 (2024) - [c126]João Pedrosa, Sofia Cardoso Pereira, Joana Silva, Ana Maria Mendonça, Aurélio Campilho:
Anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs. DGM4MICCAI@MICCAI 2024: 33-42 - 2023
- [j34]Sofia Cardoso Pereira, Joana Rocha, Aurélio Campilho, Pedro Sousa, Ana Maria Mendonça:
Lightweight multi-scale classification of chest radiographs via size-specific batch normalization. Comput. Methods Programs Biomed. 236: 107558 (2023) - [j33]Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio Campilho:
ExplainFix: Explainable spatially fixed deep networks. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - [j32]Alex Gaudio, Asim Smailagic, Christos Faloutsos, Shreshta Mohan, Elvin Johnson, Yuhao Liu, Pedro Costa, Aurélio Campilho:
DeepFixCX: Explainable privacy-preserving image compression for medical image analysis. WIREs Data. Mining. Knowl. Discov. 13(4) (2023) - [c125]Joana Rocha, Ana Maria Mendonça, Sofia Cardoso Pereira, Aurélio Campilho:
Confident-CAM: Improving Heat Map Interpretation in Chest X-Ray Image Classification. BIBM 2023: 4116-4123 - [c124]Tânia Melo, Jaime S. Cardoso, Ângela Carneiro, Aurélio Campilho, Ana Maria Mendonça:
OCT Image Synthesis through Deep Generative Models. CBMS 2023: 561-566 - [c123]João Pedrosa, Pedro Sousa, Joana Silva, Ana Maria Mendonça, Aurélio Campilho:
Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework. CBMS 2023: 806-813 - [c122]Ricardo Coimbra Brioso, João Pedrosa, Ana Maria Mendonça, Aurélio Campilho:
Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging. CBMS 2023: 814-820 - [c121]Rui Santos, João Pedrosa, Ana Maria Mendonça, Aurélio Campilho:
Automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening. IbPRIA 2023: 520-532 - [c120]Sofia Cardoso Pereira, Joana Rocha, Alex Gaudio, Asim Smailagic, Aurélio Campilho, Ana Maria Mendonça:
Addressing Chest Radiograph Projection Bias in Deep Classification Models. MIDL 2023: 1199-1210 - [d4]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb Dataset. Version 4. Zenodo, 2023 [all versions]
- [i15]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i14]Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio J. C. Campilho:
ExplainFix: Explainable Spatially Fixed Deep Networks. CoRR abs/2303.10408 (2023) - 2022
- [j31]Kristen M. Meiburger, Francesco Marzola, Guillaume Zahnd, Francesco Faita, Christos P. Loizou, Nolann Lainé, Catarina Carvalho, David A. Steinman, Lorenzo Gibello, Rosa Maria Bruno, Ricarda Clarenbach, Martina Francesconi, Andrew Nicolaides, Hervé Liebgott, Aurélio Campilho, Reza Ghotbi, Efthyvoulos Kyriacou, Nassir Navab, Maura Griffin, Andrie G. Panayiotou, Rachele Gherardini, Gianfranco Varetto, Elisabetta Bianchini, Constantinos S. Pattichis, Lorenzo Ghiadoni, José Rouco, Maciej Orkisz, Filippo Molinari:
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans. Comput. Biol. Medicine 144: 105333 (2022) - [c119]Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho:
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. BHI 2022: 1-4 - [c118]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Ana Maria Mendonça, Aurélio Campilho:
Automatic Label Detection in Chest Radiography Images. BIOIMAGING 2022: 63-69 - [c117]Joana Rocha, Sofia Cardoso Pereira, João Pedrosa, Aurélio Campilho, Ana Maria Mendonça:
Attention-driven Spatial Transformer Network for Abnormality Detection in Chest X-Ray Images. CBMS 2022: 252-257 - [c116]Alex Gaudio, Miguel T. Coimbra, Aurélio Campilho, Asim Smailagic, Samuel E. Schmidt, Francesco Renna:
Explainable Deep Learning for Non-Invasive Detection of Pulmonary Artery Hypertension from Heart Sounds. CinC 2022: 1-4 - [c115]João Pedrosa, Pedro Sousa, Joana Silva, Ana Maria Mendonça, Aurélio Campilho:
Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection. IbPRIA 2022: 81-94 - [c114]Raquel Belo, Joana Rocha, Ana Maria Mendonça, Aurélio Campilho:
An active learning approach for support device detection in chest radiography images. ICMV 2022 - [c113]Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso:
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation. MIDL 2022: 250-260 - [d3]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb Dataset. Version 2. Zenodo, 2022 [all versions] - [d2]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb Dataset. Version 3. Zenodo, 2022 [all versions] - [i13]Pedro Costa, Yongpan Fu, João Nunes, Aurélio Campilho, Jaime S. Cardoso:
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector. CoRR abs/2203.01321 (2022) - [i12]Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho:
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. CoRR abs/2210.02241 (2022) - 2021
- [j30]Sónia Marques, Filippo Schiavo, Carlos A. Ferreira, João Pedrosa, António Cunha, Aurélio Campilho:
A multi-task CNN approach for lung nodule malignancy classification and characterization. Expert Syst. Appl. 184: 115469 (2021) - [j29]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Gurraj Atwal, Hady Ahmady Phoulady, Xiaoyu Chen, Rongzhen Chen, Jiaoliang Li, Liansheng Wang, Adrian Galdran, Hamid Bouchachia, Krishna Chaitanya Kaluva, Kiran Vaidhya, Abhijith Chunduru, Sambit Tarai, Sai Prasad Pranav Nadimpalli, Suthirth Vaidya, Ildoo Kim, Alexandr G. Rassadin, Zhenhuan Tian, Zhongwei Sun, Yizhuan Jia, Xuejun Men, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb challenge on automatic lung cancer patient management. Medical Image Anal. 70: 102027 (2021) - [j28]Beatriz Remeseiro, Ana Maria Mendonça, Aurélio Campilho:
Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation. Vis. Comput. 37(6): 1247-1261 (2021) - [c112]Joana Rocha, Sofia Cardoso Pereira, Aurélio Campilho, Ana Maria Mendonça:
Segmentation of COVID-19 Lesions in CT Images. BHI 2021: 1-4 - [c111]Martim Quintas E. Sousa, João Pedrosa, Joana Rocha, Sofia Cardoso Pereira, Ana Maria Mendonça, Aurélio Campilho:
Chest Radiography Few-Shot Image Synthesis for Automated Pathology Screening Applications. BIBM 2021: 1791-1798 - [c110]Diego S. Wanderley, Carlos A. Ferreira, Aurélio Campilho, Jorge Alves Silva:
Ovarian Structures Detection using Convolutional Neural Networks. CENTERIS/ProjMAN/HCist 2021: 542-549 - [c109]Pedro Costa, Aurélio Campilho, Jaime S. Cardoso:
A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images. CIARP 2021: 55-64 - 2020
- [j27]Teresa Araújo, Guilherme Aresta, Luís Mendonça, Susana Penas, Carolina Maia, Ângela Carneiro, Ana Maria Mendonça, Aurélio Campilho:
Data Augmentation for Improving Proliferative Diabetic Retinopathy Detection in Eye Fundus Images. IEEE Access 8: 182462-182474 (2020) - [j26]Tânia Melo, Ana Maria Mendonça, Aurélio Campilho:
Microaneurysm detection in color eye fundus images for diabetic retinopathy screening. Comput. Biol. Medicine 126: 103995 (2020) - [j25]Teresa Araújo, Guilherme Aresta, Luís Mendonça, Susana Penas, Carolina Maia, Ângela Carneiro, Ana Maria Mendonça, Aurélio Campilho:
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images. Medical Image Anal. 63: 101715 (2020) - [j24]Guilherme Aresta, Carlos A. Ferreira, João Pedrosa, Teresa Araújo, João Rebelo, Eduardo Negrão, Margarida Morgado, Filipe Alves, António Cunha, Isabel Ramos, Aurélio Campilho:
Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance. IEEE J. Biomed. Health Informatics 24(10): 2894-2901 (2020) - [j23]Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh:
O-MedAL: Online active deep learning for medical image analysis. WIREs Data Mining Knowl. Discov. 10(4) (2020) - [c108]Catarina B. Carvalho, João Pedrosa, Carolina Maia, Susana Penas, Ângela Carneiro, Luís Mendonça, Ana Maria Mendonça, Aurélio Campilho:
A Multi-dataset Approach for DME Risk Detection in Eye Fundus Images. ICIAR (2) 2020: 285-298 - [c107]Alex Gaudio, Asim Smailagic, Aurélio Campilho:
Enhancement of Retinal Fundus Images via Pixel Color Amplification. ICIAR (2) 2020: 299-312 - [c106]Ana Maria Mendonça, Tânia Melo, Teresa Araújo, Aurélio Campilho:
Optic Disc and Fovea Detection in Color Eye Fundus Images. ICIAR (2) 2020: 332-343 - [c105]Carlos A. Ferreira, Guilherme Aresta, João Pedrosa, João Rebelo, Eduardo Negrão, António Cunha, Isabel Ramos, Aurélio Campilho:
Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization. ISBI 2020: 791-794 - [e27]Aurélio Campilho, Fakhri Karray, Zhou Wang:
Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24-26, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12131, Springer 2020, ISBN 978-3-030-50346-8 [contents] - [e26]Aurélio Campilho, Fakhri Karray, Zhou Wang:
Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24-26, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12132, Springer 2020, ISBN 978-3-030-50515-8 [contents] - [d1]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb Dataset. Version 1. Zenodo, 2020 [all versions] - [i11]Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho:
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. CoRR abs/2007.13838 (2020) - [i10]Alex Gaudio, Asim Smailagic, Aurélio Campilho:
Enhancement of Retinal Fundus Images via Pixel Color Amplification. CoRR abs/2007.14456 (2020)
2010 – 2019
- 2019
- [j22]Elham Shakibapour, António Cunha, Guilherme Aresta, Ana Maria Mendonça, Aurélio Campilho:
An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans. Expert Syst. Appl. 119: 415-428 (2019) - [c104]Catarina B. Carvalho, Sónia Marques, Carla Peixoto, Duarte Pignatelli, Jorge Beires, Jorge Silva, Aurélio Campilho:
Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison. ICIAR (2) 2019: 295-306 - [c103]Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho:
Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. ICIAR (2) 2019: 362-368 - [c102]Adrian Galdran, Pedro Costa, Aurélio Campilho:
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. ISBI 2019: 87-90 - [c101]Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Uncertainty-Aware Artery/Vein Classification on Retinal Images. ISBI 2019: 556-560 - [c100]Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho:
Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth. ISBI 2019: 1202-1206 - [c99]Pedro Costa, Teresa Araújo, Guilherme Aresta, Adrian Galdran, Ana Maria Mendonça, Asim Smailagic, Aurélio Campilho:
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection. MVA 2019: 1-6 - [e25]Fakhri Karray, Aurélio Campilho, Alfred C. H. Yu:
Image Analysis and Recognition - 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27-29, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11662, Springer 2019, ISBN 978-3-030-27201-2 [contents] - [e24]Fakhri Karray, Aurélio Campilho, Alfred C. H. Yu:
Image Analysis and Recognition - 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27-29, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11663, Springer 2019, ISBN 978-3-030-27271-5 [contents] - [i9]Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh:
O-MedAL: Online Active Deep Learning for Medical Image Analysis. CoRR abs/1908.10508 (2019) - [i8]Guilherme Aresta, Carlos A. Ferreira, João Pedrosa, Teresa Araújo, João Rebelo, Eduardo Negrão, Margarida Morgado, Filipe Alves, António Cunha, Isabel Ramos, Aurélio Campilho:
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance. CoRR abs/1910.03986 (2019) - [i7]Teresa Araújo, Guilherme Aresta, Luís Mendonça, Susana Penas, Carolina Maia, Ângela Carneiro, Ana Maria Mendonça, Aurélio Campilho:
DR|GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images. CoRR abs/1910.11777 (2019) - [i6]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb: A Lung Nodule Database on Computed Tomography. CoRR abs/1911.08434 (2019) - 2018
- [j21]Pedro Costa, Adrian Galdran, Asim Smailagic, Aurélio J. C. Campilho:
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images. IEEE Access 6: 18747-18758 (2018) - [j20]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Meindert Niemeijer, Michael Abramoff, Ana Maria Mendonça, Aurélio J. C. Campilho:
End-to-End Adversarial Retinal Image Synthesis. IEEE Trans. Medical Imaging 37(3): 781-791 (2018) - [c98]Diego S. Wanderley, Catarina B. Carvalho, Ana Domingues, Carla Peixoto, Duarte Pignatelli, Jorge Beires, Jorge Silva, Aurélio Campilho:
End-to-End Ovarian Structures Segmentation. CIARP 2018: 681-689 - [c97]Carlos A. Ferreira, António Cunha, Ana Maria Mendonça, Aurélio Campilho:
Convolutional Neural Network Architectures for Texture Classification of Pulmonary Nodules. CIARP 2018: 783-791 - [c96]Marlene Machado, Guilherme Aresta, Patrícia Leitão, André Silva Carvalho, Márcio Rodrigues, Isabel Ramos, António Cunha, Aurélio J. C. Campilho:
Radiologists' Gaze Characterization During Lung Nodule Search in Thoracic CT. ICGI 2018: 1-7 - [c95]Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Deep Convolutional Artery/Vein Classification of Retinal Vessels. ICIAR 2018: 622-630 - [c94]Tânia Melo, Ana Maria Mendonça, Aurélio Campilho:
Creation of Retinal Mosaics for Diabetic Retinopathy Screening: A Comparative Study. ICIAR 2018: 669-678 - [c93]Carlos A. Ferreira, Tânia Melo, Patrick Sousa, Maria Inês Meyer, Elham Shakibapour, Pedro Costa, Aurélio Campilho:
Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2. ICIAR 2018: 763-770 - [c92]Adrian Galdran, Pedro Costa, Javier Vazquez-Corral, Aurélio Campilho:
Weakly Supervised Fog Detection. ICIP 2018: 2875-2879 - [c91]Asim Smailagic, Pedro Costa, Hae Young Noh, Devesh Walawalkar, Kartik Khandelwal, Adrian Galdran, Mostafa Mirshekari, Jonathon Fagert, Susu Xu, Pei Zhang, Aurélio J. C. Campilho:
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. ICMLA 2018: 481-488 - [c90]Filipe T. Ferreira, Patrick Sousa, Adrian Galdran, Marta R. Sousa, Aurélio Campilho:
End-to-End Supervised Lung Lobe Segmentation. IJCNN 2018: 1-8 - [c89]José Rouco, Catarina B. Carvalho, Ana Domingues, Elsa Azevedo, Aurélio Campilho:
A robust anisotropic edge detection method for carotid ultrasound image processing. KES 2018: 723-732 - [c88]Maria Inês Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho:
A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection. MICCAI (2) 2018: 39-47 - [c87]Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho:
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. MICCAI (1) 2018: 82-90 - [c86]Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
UOLO - Automatic Object Detection and Segmentation in Biomedical Images. DLMIA/ML-CDS@MICCAI 2018: 165-173 - [c85]Guilherme Aresta, Teresa Araújo, Colin Jacobs, Bram van Ginneken, António Cunha, Isabel Ramos, Aurélio Campilho:
Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography. RAMBO+BIA+TIA@MICCAI 2018: 310-318 - [e23]Aurélio Campilho, Fakhri Karray, Bart M. ter Haar Romeny:
Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Póvoa de Varzim, Portugal, June 27-29, 2018, Proceedings. Lecture Notes in Computer Science 10882, Springer 2018, ISBN 978-3-319-92999-6 [contents] - [i5]Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese, Bahram Marami, Marcel Prastawa, Monica Chan, Michael J. Donovan, Gerardo Fernandez, Jack Zeineh, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak, Sameh Galal, Veronica Sanchez-Freire, Nadia Brancati, Maria Frucci, Daniel Riccio, Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang, Ismaël Koné, Lahsen Boulmane, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar:
BACH: Grand Challenge on Breast Cancer Histology Images. CoRR abs/1808.04277 (2018) - [i4]Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
UOLO - automatic object detection and segmentation in biomedical images. CoRR abs/1810.05729 (2018) - [i3]Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken, Aurélio Campilho:
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. CoRR abs/1811.12789 (2018) - 2017
- [j19]Pedro Costa, Aurélio Campilho:
Convolutional bag of words for diabetic retinopathy detection from eye fundus images. IPSJ Trans. Comput. Vis. Appl. 9: 10 (2017) - [c84]Benedetta Savelli, Alessandro Bria, Adrian Galdran, Claudio Marrocco, Mario Molinara, Aurélio J. C. Campilho, Francesco Tortorella:
Illumination Correction by Dehazing for Retinal Vessel Segmentation. CBMS 2017: 219-224 - [c83]Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurélio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella:
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. ICIAP (2) 2017: 288-298 - [c82]Teresa Araujo, Guilherme Aresta, Bernardo Almada-Lobo, Ana Maria Mendonça, Aurélio J. C. Campilho:
Improving Convolutional Neural Network Design via Variable Neighborhood Search. ICIAR 2017: 371-379 - [c81]Maria Inês Meyer, Pedro Costa, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho:
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images. ICIAR 2017: 507-515 - [c80]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, Aurélio Campilho:
Adversarial Synthesis of Retinal Images from Vessel Trees. ICIAR 2017: 516-523 - [c79]Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran:
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA 2017: 323-330 - [c78]Beatriz Remeseiro, Ana Maria Mendonça, Aurélio J. C. Campilho:
Objective quality assessment of retinal images based on texture features. IJCNN 2017: 4520-4527 - [c77]Teresa Araujo, Ana Maria Mendonça, Aurélio Campilho:
Estimation of retinal vessel caliber using model fitting and random forests. Computer-Aided Diagnosis 2017: 101341K - [c76]Ana Maria Mendonça, Beatriz Remeseiro, Behdad Dashtbozorg, Aurélio Campilho:
Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. Computer-Aided Diagnosis 2017: 101341L - [c75]Guilherme Aresta, António Cunha, Aurélio Campilho:
Detection of juxta-pleural lung nodules in computed tomography images. Computer-Aided Diagnosis 2017: 101343N - [c74]Pedro Costa, Aurélio J. C. Campilho:
Convolutional bag of words for diabetic retinopathy detection from eye fundus images. MVA 2017: 165-168 - [c73]Luis Gonçalves, Jorge Novo, António Cunha, Aurélio J. C. Campilho:
Evaluation of the Degree of Malignancy of Lung Nodules in Computed Tomography Images. VISIGRAPP (6: VISAPP) 2017: 74-80 - [e22]Fakhri Karray, Aurélio Campilho, Farida Cheriet:
Image Analysis and Recognition - 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5-7, 2017, Proceedings. Lecture Notes in Computer Science 10317, Springer 2017, ISBN 978-3-319-59875-8 [contents] - [i2]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho:
Towards Adversarial Retinal Image Synthesis. CoRR abs/1701.08974 (2017) - [i1]Adrian Galdran, Aitor Alvarez-Gila, Maria Inês Meyer, Cristina López Saratxaga, Teresa Araujo, Estíbaliz Garrote, Guilherme Aresta, Pedro Costa, Ana Maria Mendonça, Aurélio J. C. Campilho:
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. CoRR abs/1703.03702 (2017) - 2016
- [j18]Luis Gonçalves, Jorge Novo Buján, Aurélio C. Campilho:
Hessian based approaches for 3D lung nodule segmentation. Expert Syst. Appl. 61: 1-15 (2016) - [j17]José Rouco, Elsa Azevedo, Aurélio Campilho:
Automatic Lumen Detection on Longitudinal Ultrasound B-Mode Images of the Carotid Using Phase Symmetry. Sensors 16(3): 350 (2016) - [j16]José Ramos, Thessa T. J. P. Kockelkorn, Isabel Ramos, Rui Ramos, Jan C. Grutters, Max A. Viergever, Bram van Ginneken, Aurélio J. C. Campilho:
Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases. IEEE J. Biomed. Health Informatics 20(1): 281-292 (2016)