Aurélio Campilho

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 79

Top Topics

Diabetic Retinopathy

Convolutional Neural Networks

Image Synthesis

Top Venues

Publications

Carlos A. Ferreira, Kiran Vaidhya Venkadesh, Colin Jacobs, Miguel Coimbra, Aurélio Campilho
Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging. Biomed. Signal Process. Control. 96 (2024)
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 (2024)
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 (2024)
Ricardo Coimbra Brioso, João Pedrosa, Ana Maria Mendonça, Aurélio Campilho
Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging. CBMS (2023)
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 (2023)
Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio Campilho
ExplainFix: Explainable spatially fixed deep networks. WIREs Data. Mining. Knowl. Discov. 13 (2) (2023)
Rui Santos, João Pedrosa, Ana Maria Mendonça, Aurélio Campilho
Automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening. IbPRIA (2023)
Alex Gaudio, Asim Smailagic, Christos Faloutsos, Shreshta Mohan, Elvin Johnson, Yuhao Liu, Pedro Costa, Aurélio Campilho
: Explainable privacy-preserving image compression for medical image analysis. WIREs Data. Mining. Knowl. Discov. 13 (4) (2023)
Joana Rocha, Ana Maria Mendonça, Sofia Cardoso Pereira, Aurélio Campilho
Confident-CAM: Improving Heat Map Interpretation in Chest X-Ray Image Classification. BIBM (2023)
Tânia Melo, Jaime S. Cardoso, Ângela Carneiro, Aurélio Campilho, Ana Maria Mendonça
OCT Image Synthesis through Deep Generative Models. CBMS (2023)
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 (2023)
João Pedrosa, Pedro Sousa, Joana Silva, Ana Maria Mendonça, Aurélio Campilho
Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework. CBMS (2023)
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)
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)
Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. CoRR (2022)
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 (2022)
João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Ana Maria Mendonça, Aurélio Campilho
Automatic Label Detection in Chest Radiography Images. BIOIMAGING (2022)
João Pedrosa, Pedro Sousa, Joana Silva, Ana Maria Mendonça, Aurélio Campilho
Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection. IbPRIA (2022)
Pedro Costa, Yongpan Fu, João Nunes, Aurélio Campilho, Jaime S. Cardoso
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector. CoRR (2022)
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)
Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation. MIDL (2022)
Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. BHI (2022)
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 (2021)
Pedro Costa, Aurélio Campilho, Jaime S. Cardoso
A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images. CIARP (2021)
Beatriz Remeseiro, Ana Maria Mendonça, Aurélio Campilho
Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation. Vis. Comput. 37 (6) (2021)
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)
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 (2021)
Diego S. Wanderley, Carlos A. Ferreira, Aurélio Campilho, Jorge Alves Silva
Ovarian Structures Detection using Convolutional Neural Networks. CENTERIS/ProjMAN/HCist (2021)
Joana Rocha, Sofia Cardoso Pereira, Aurélio Campilho, Ana Maria Mendonça
Segmentation of COVID-19 Lesions in CT Images. BHI (2021)
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)
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 (2020)
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) (2020)
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)
Alex Gaudio, Asim Smailagic, Aurélio Campilho
Enhancement of Retinal Fundus Images via Pixel Color Amplification. ICIAR (2) (2020)
Ana Maria Mendonça, Tânia Melo, Teresa Araújo, Aurélio Campilho
Optic Disc and Fovea Detection in Color Eye Fundus Images. ICIAR (2) (2020)
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)
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 (2020)
Tânia Melo, Ana Maria Mendonça, Aurélio Campilho
Microaneurysm detection in color eye fundus images for diabetic retinopathy screening. Comput. Biol. Medicine 126 (2020)
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 (2020)
Alex Gaudio, Asim Smailagic, Aurélio Campilho
Enhancement of Retinal Fundus Images via Pixel Color Amplification. CoRR (2020)
Adrian Galdran, Pedro Costa, Aurélio Campilho
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. ISBI (2019)
Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
Uncertainty-Aware Artery/Vein Classification on Retinal Images. ISBI (2019)
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)
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)
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 (2019)
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 (2019)
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 (2019)
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)
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 (2019)
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 (2019)
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)
Carlos A. Ferreira, António Cunha, Ana Maria Mendonça, Aurélio Campilho
Convolutional Neural Network Architectures for Texture Classification of Pulmonary Nodules. CIARP (2018)
Adrian Galdran, Pedro Costa, Javier Vazquez-Corral, Aurélio Campilho
Weakly Supervised Fog Detection. ICIP (2018)
Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
Deep Convolutional Artery/Vein Classification of Retinal Vessels. ICIAR (2018)
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)
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 (2018)
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)
José Rouco, Catarina B. Carvalho, Ana Domingues, Elsa Azevedo, Aurélio Campilho
A robust anisotropic edge detection method for carotid ultrasound image processing. KES (2018)
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 (2018)
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
UOLO - automatic object detection and segmentation in biomedical images. CoRR (2018)
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)
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)
Tânia Melo, Ana Maria Mendonça, Aurélio Campilho
Creation of Retinal Mosaics for Diabetic Retinopathy Screening: A Comparative Study. ICIAR (2018)
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)
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)
Filipe T. Ferreira, Patrick Sousa, Adrian Galdran, Marta R. Sousa, Aurélio Campilho
End-to-End Supervised Lung Lobe Segmentation. IJCNN (2018)
Guilherme Aresta, António Cunha, Aurélio Campilho
Detection of juxta-pleural lung nodules in computed tomography images. Medical Imaging: Computer-Aided Diagnosis (2017)
Ana Maria Mendonça, Beatriz Remeseiro, Behdad Dashtbozorg, Aurélio Campilho
Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. Medical Imaging: Computer-Aided Diagnosis (2017)
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)
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)
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, Aurélio Campilho
Adversarial Synthesis of Retinal Images from Vessel Trees. ICIAR (2017)
Teresa Araujo, Ana Maria Mendonça, Aurélio Campilho
Estimation of retinal vessel caliber using model fitting and random forests. Medical Imaging: Computer-Aided Diagnosis (2017)
Pedro Costa, Aurélio Campilho
Convolutional bag of words for diabetic retinopathy detection from eye fundus images. IPSJ Trans. Comput. Vis. Appl. 9 (2017)
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho
Towards Adversarial Retinal Image Synthesis. CoRR (2017)
Luis Gonçalves, Jorge Novo, Aurélio Campilho
Central Medialness Adaptive Strategy for 3D Lung Nodule Segmentation in Thoracic CT Images. ICIAR (2016)
Verónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho
Machine learning for medical applications. ESANN (2016)
José Rouco, Elsa Azevedo, Aurélio Campilho
Automatic Lumen Detection on Longitudinal Ultrasound B-Mode Images of the Carotid Using Phase Symmetry. Sensors 16 (3) (2016)
Luis Gonçalves, Jorge Novo, Aurélio Campilho
Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images. ESANN (2016)
António Ferreira, Guilherme Silva, André Dias, Alfredo Martins, Aurélio Campilho
Motion Descriptor for Human Gesture Recognition in Low Resolution Images. ROBOT (1) (2015)