☰

Gustavo H. Carneiro, Ph.D. - Publications

Affiliations: 
2004 University of Toronto, Toronto, ON, Canada 
Area:
Computer Science
Tree Info Similar researchers PubMed Report error

52 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Butler D, Wang H, Zhang Y, To MS, Condous G, Leonardi M, Knox S, Avery J, Hull ML, Carneiro G. The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-5. PMID 38083681 DOI: 10.1109/EMBC40787.2023.10340504  0.311
2023 Tian Y, Liu F, Pang G, Chen Y, Liu Y, Verjans JW, Singh R, Carneiro G. Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Analysis. 90: 102930. PMID 37657364 DOI: 10.1016/j.media.2023.102930  0.382
2022 Snaauw G, Sasdelli M, Maicas G, Lau S, Verjans J, Jenkinson M, Carneiro G. Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2022: 3510-3513. PMID 36086053 DOI: 10.1109/EMBC48229.2022.9871220  0.359
2020 Oakden-Rayner L, Dunnmon J, Carneiro G, Ré C. Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. Proceedings of the Acm Conference On Health, Inference, and Learning. 2020: 151-159. PMID 33196064 DOI: 10.1145/3368555.3384468  0.311
2020 Carneiro G, Zorron Cheng Tao Pu L, Singh R, Burt A. Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy. Medical Image Analysis. 62: 101653. PMID 32172037 DOI: 10.1016/J.Media.2020.101653  0.42
2020 Cheng Tao Pu LZ, Maicas G, Tian Y, Yamamura T, Nakamura M, Suzuki H, Singh G, Rana K, Hirooka Y, Burt AD, Fujishiro M, Carneiro G, Singh R. Computer-aided diagnosis for characterisation of colorectal lesions: a comprehensive software including serrated lesions. Gastrointestinal Endoscopy. PMID 32145289 DOI: 10.1016/J.Gie.2020.02.042  0.314
2020 Antico M, Fontanarosa D, Carneiro G, Vukovic D, Camps SM, Sasazawa F, Takeda Y, Le ATH, Jaiprakash AT, Roberts J, Crawford R. Deep learning for US image quality assessment based on femoral cartilage boundaries detection in autonomous knee arthroscopy. Ieee Transactions On Ultrasonics, Ferroelectrics, and Frequency Control. PMID 31944954 DOI: 10.1109/Tuffc.2020.2965291  0.415
2020 Dunnhofer M, Antico M, Sasazawa F, Takeda Y, Camps S, Martinel N, Micheloni C, Carneiro G, Fontanarosa D. Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Analysis. 60: 101631. PMID 31927473 DOI: 10.1016/J.Media.2019.101631  0.401
2020 Jonmohamadi Y, Takeda Y, Liu F, Sasazawa F, Maicas G, Crawford R, Roberts J, Pandey AK, Carneiro G. Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning Ieee Access. 8: 51853-51861. DOI: 10.1109/Access.2020.2980025  0.39
2020 Santiago C, Barata C, Sasdelli M, Carneiro G, Nascimento JC. LOW: Training Deep Neural Networks by Learning Optimal Sample Weights Pattern Recognition. 107585. DOI: 10.1016/J.Patcog.2020.107585  0.327
2019 Camps SM, Houben T, Carneiro G, Edwards C, Antico M, Dunnhofer M, Martens EGHJ, Baeza JA, Vanneste BGL, van Limbergen EJ, de With PHN, Verhaegen F, Fontanarosa D. Automatic Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region, Using Deep Learning. Ultrasound in Medicine & Biology. PMID 31780240 DOI: 10.1016/J.Ultrasmedbio.2019.10.027  0.43
2019 Antico M, Sasazawa F, Dunnhofer M, Camps SM, Jaiprakash AT, Pandey AK, Crawford R, Carneiro G, Fontanarosa D. Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy. Ultrasound in Medicine & Biology. PMID 31767454 DOI: 10.1016/J.Ultrasmedbio.2019.10.015  0.381
2019 Maicas G, Bradley AP, Nascimento JC, Reid I, Carneiro G. Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Analysis. 58: 101562. PMID 31561184 DOI: 10.1016/J.Media.2019.101562  0.352
2019 Nascimento JC, Carneiro G. One shot segmentation: unifying rigid detection and non-rigid segmentation using elastic regularization. Ieee Transactions On Pattern Analysis and Machine Intelligence. 42: 3054-3070. PMID 31217094 DOI: 10.1109/Tpami.2019.2922959  0.445
2018 Liao Z, Drummond T, Reid I, Carneiro G. Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 30334782 DOI: 10.1109/Tpami.2018.2876413  0.36
2018 Carneiro G, Tavares JMRS, Bradley AP, Papa JP, Nascimento JC, Cardoso JS, Lu Z, Belagiannis V. 1st MICCAI workshop on deep learning in medical image analysis Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 6: 241-242. DOI: 10.1080/21681163.2018.1457242  0.337
2017 Carneiro G, Nascimento J, Bradley AP. Automated Analysis of Unregistered Multi-view Mammograms with Deep Learning. Ieee Transactions On Medical Imaging. PMID 28920897 DOI: 10.1109/Tmi.2017.2751523  0.335
2017 Nascimento JC, Carneiro G. Deep Learning on Sparse Manifolds for Faster Object Segmentation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 26: 4978-4990. PMID 28708556 DOI: 10.1109/Tip.2017.2725582  0.469
2017 Oakden-Rayner L, Carneiro G, Bessen T, Nascimento JC, Bradley AP, Palmer LJ. Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework. Scientific Reports. 7: 1648. PMID 28490744 DOI: 10.1038/S41598-017-01931-W  0.404
2017 Carneiro G, Peng T, Bayer C, Navab N. Automatic Quantification of Tumour Hypoxia from Multi-modal Microscopy Images using Weakly-Supervised Learning Methods. Ieee Transactions On Medical Imaging. PMID 28278461 DOI: 10.1109/Tmi.2017.2677479  0.454
2017 Dhungel N, Carneiro G, Bradley AP. A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Analysis. 37: 114-128. PMID 28171807 DOI: 10.1016/J.Media.2017.01.009  0.383
2017 Liao Z, Carneiro G. A deep convolutional neural network module that promotes competition of multiple-size filters Pattern Recognition. 71: 94-105. DOI: 10.1016/J.Patcog.2017.05.024  0.307
2017 Ribeiro D, Nascimento JC, Bernardino A, Carneiro G. Improving the performance of pedestrian detectors using convolutional learning Pattern Recognition. 61: 641-649. DOI: 10.1016/J.Patcog.2016.05.027  0.366
2017 Cardoso MJ, Arbel T, Carneiro G, Syeda-Mahmood T, Tavares JMRS, Moradi M, Bradley A, Greenspan H, Papa JP, Madabhushi A, Nascimento JC, Cardoso JS, Belagiannis V, Lu Z, Engenharia Fd. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support Arxiv: Computer Vision and Pattern Recognition. DOI: 10.1007/978-3-319-67558-9  0.435
2017 Cardoso MJ, Arbel T, Cheplygina V, Lee S-, Balocco S, Mateus D, Zahnd G, Maier-Hein L, Demirci S, Granger E, Duong L, Carbonneau M-, Albarqouni S, Carneiro G. Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis Lecture Notes in Computer Science. 10552. DOI: 10.1007/978-3-319-67534-3  0.343
2016 Ngo TA, Lu Z, Carneiro G. Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. Medical Image Analysis. 35: 159-171. PMID 27423113 DOI: 10.1016/J.Media.2016.05.009  0.402
2016 Lu Z, Carneiro G, Bradley A, Ushizima D, Nosrati MS, Bianchi A, Carneiro C, Hamarneh G. Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells. Ieee Journal of Biomedical and Health Informatics. PMID 26800556 DOI: 10.1109/Jbhi.2016.2519686  0.414
2016 Carneiro G, Peng T, Bayer C, Navab N. Weakly-supervised structured output learning with flexible and latent graphs using high-order loss functions Proceedings of the Ieee International Conference On Computer Vision. 11: 648-656. DOI: 10.1109/ICCV.2015.81  0.304
2015 Zhi Lu, Carneiro G, Bradley AP. An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 24: 1261-72. PMID 25585419 DOI: 10.1109/Tip.2015.2389619  0.348
2015 Liao Z, Carneiro G. The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification Proceedings - International Conference On Image Processing, Icip. 2015: 4540-4544. DOI: 10.1109/ICIP.2015.7351666  0.306
2015 Carneiro G, Nascimento J, Bradley AP. Unregistered multiview mammogram analysis with pre-trained deep learning models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9351: 652-660. DOI: 10.1007/978-3-319-24574-4_78  0.379
2013 Carneiro G, Nascimento JC. Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 2592-2607. PMID 24051722 DOI: 10.1109/Tpami.2013.96  0.401
2013 Carneiro G. Artistic Image Analysis Using Graph-Based Learning Approaches Ieee Transactions On Image Processing. 22: 3168-3178. PMID 23629858 DOI: 10.1109/Tip.2013.2260167  0.429
2013 Ngo TA, Carneiro G. Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks 2013 Ieee International Conference On Image Processing, Icip 2013 - Proceedings. 695-699. DOI: 10.1109/ICIP.2013.6738143  0.321
2012 Carneiro G, Nascimento JC, Freitas A. The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods Ieee Transactions On Image Processing. 21: 968-982. PMID 21947526 DOI: 10.1109/Tip.2011.2169273  0.472
2011 Cabral RS, Costeira JP, Torre FdL, Bernardino A, Carneiro G. Time and order estimation of paintings based on visual features and expert priors Proceedings of Spie. 7869. DOI: 10.1117/12.872256  0.338
2011 Silva NPd, Marques M, Carneiro G, Costeira JP. Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history Proceedings of Spie. 7869: 786905. DOI: 10.1117/12.872130  0.43
2011 Carneiro G, Costeira JP. The automatic annotation and retrieval of digital images of prints and tile panels using network link analysis algorithms Proceedings of Spie. 7869: 786904. DOI: 10.1117/12.872026  0.418
2009 Carneiro G, Jepson AD. The quantitative characterization of the distinctiveness and robustness of local image descriptors Image and Vision Computing. 27: 1143-1156. DOI: 10.1016/J.Imavis.2008.10.015  0.691
2009 Carneiro G, Vasconcelos N. Minimum Bayes error features for visual recognition Image and Vision Computing. 27: 131-140. DOI: 10.1016/J.Imavis.2006.06.008  0.391
2008 Carneiro G, Georgescu B, Good S, Comaniciu D. Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree. Ieee Transactions On Medical Imaging. 27: 1342-55. PMID 18753047 DOI: 10.1109/Tmi.2008.928917  0.449
2007 Carneiro G, Georgescu B, Good S, Comaniciu D. Automatic fetal measurements in ultrasound using constrained probabilistic boosting tree. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 571-9. PMID 18044614  0.337
2007 Carneiro G, Jepson AD. Flexible spatial configuration of local image features. Ieee Transactions On Pattern Analysis and Machine Intelligence. 29: 2089-104. PMID 17934220 DOI: 10.1109/Tpami.2007.1126  0.685
2007 Carneiro G, Chan AB, Moreno PJ, Vasconcelos N. Supervised learning of semantic classes for image annotation and retrieval. Ieee Transactions On Pattern Analysis and Machine Intelligence. 29: 394-410. PMID 17224611 DOI: 10.1109/Tpami.2007.61  0.491
2006 Vasconcelos M, Carneiro G, Vasconcelos N. Weakly supervised top-down image segmentation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 1001-1006. DOI: 10.1109/CVPR.2006.333  0.335
2005 Carneiro G, Vasconcelos N. A database centric view of semantic image annotation and retrieval Sigir 2005 - Proceedings of the 28th Annual International Acm Sigir Conference On Research and Development in Information Retrieval. 559-566. DOI: 10.1145/1076034.1076129  0.35
2005 Carneiro G, Vasconcelos N. Formulating semantic image annotation as a supervised learning problem Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 163-168. DOI: 10.1109/CVPR.2005.164  0.395
2005 Carneiro G, Jepson AD. The distinctiveness, detectability, and robustness of local image features Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 296-301.  0.69
2004 Carneiro G, Jepson AD. Pruning local feature correspondences using shape context Proceedings - International Conference On Pattern Recognition. 3: 16-19.  0.692
2004 Carneiro G, Jepson AD. Flexible spatial models for grouping local image features Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2.  0.661
2003 Carneiro G, Jepson AD. Multi-scale phase-based local features Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1.  0.674
2002 Carneiro G, Jepson AD. Phase-based local features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2350: 282-296.  0.661
Show low-probability matches.