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2020 – today
- 2021
[j38]Sergei Bedrikovetski, Nagendra N. Dudi-Venkata
, Gabriel Maicas, Hidde M. Kroon, Warren Seow, Gustavo Carneiro, James W. Moore, Tarik Sammour:
Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis. Artif. Intell. Medicine 113: 102022 (2021)- [j37]Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento:
LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. 110: 107585 (2021) - [i51]Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR abs/2101.00443 (2021) - [i50]Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. CoRR abs/2101.03285 (2021) - [i49]Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR abs/2101.10030 (2021) - [i48]Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR abs/2101.10043 (2021) - [i47]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Similarity of Classification Tasks. CoRR abs/2101.11201 (2021) - [i46]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-hoc Overall Survival Time Prediction from Brain MRI. CoRR abs/2102.10765 (2021) - [i45]Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR abs/2103.03423 (2021) - [i44]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR abs/2103.03629 (2021) - [i43]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Noisy Label Learning for Large-scale Medical Image Classification. CoRR abs/2103.04053 (2021) - [i42]Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment. CoRR abs/2103.04173 (2021) - [i41]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. CoRR abs/2103.11395 (2021) - 2020
- [j36]Yaqub Jonmohamadi, Yu Takeda, Fengbei Liu, Fumio Sasazawa, Gabriel Maicas, Ross Crawford, Jonathan Roberts, Ajay K. Pandey, Gustavo Carneiro:
Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning. IEEE Access 8: 51853-51861 (2020) - [j35]Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Cameron Brown, Ross Crawford, Aaron McFadyen:
Saliency Improvement in Feature-Poor Surgical Environments Using Local Laplacian of Specified Histograms. IEEE Access 8: 213378-213388 (2020) - [j34]Maria Antico, Fumio Sasazawa, Yu Takeda, Anjali Tumkur Jaiprakash, Marie-Luise Wille, Ajay K. Pandey, Ross Crawford, Gustavo Carneiro, Davide Fontanarosa:
Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy. IEEE Access 8: 223961-223975 (2020) - [j33]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu:
Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 501 (2020) - [j32]Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics 8(1-2): 1-224 (2020) - [j31]Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner:
Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. 128(5): 1160-1161 (2020) - [j30]Matteo Dunnhofer, Maria Antico, Fumio Sasazawa, Yu Takeda, Saskia Camps, Niki Martinel, Christian Micheloni, Gustavo Carneiro, Davide Fontanarosa:
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Anal. 60 (2020) - [j29]Gustavo Carneiro, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Alastair D. Burt:
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy. Medical Image Anal. 62: 101653 (2020) - [j28]Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 15-26 (2020) - [j27]Jacinto C. Nascimento, Gustavo Carneiro:
One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3054-3070 (2020) - [c103]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) 2020: 442-458 - [c102]Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. BMVC 2020 - [c101]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL 2020: 151-159 - [c100]Adrian Johnston, Gustavo Carneiro:
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. CVPR 2020: 4755-4764 - [c99]Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro:
Generalised Zero-shot Learning with Multi-modal Embedding Spaces. DICTA 2020: 1-8 - [c98]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. ICPR Workshops (8) 2020: 275-282 - [c97]Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester:
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. ICPR Workshops (1) 2020: 293-307 - [c96]Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Photoshopping Colonoscopy Video Frames. ISBI 2020: 1-5 - [c95]Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. ISBI 2020: 1339-1342 - [c94]Saskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro:
Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT. ISBI 2020: 1478-1481 - [c93]Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. MICCAI (6) 2020: 274-284 - [c92]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. MICCAI (6) 2020: 539-549 - [c91]Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro:
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. MICCAI (1) 2020: 594-603 - [c90]Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis:
Few-Shot Microscopy Image Cell Segmentation. ECML/PKDD (5) 2020: 139-154 - [c89]Fábio Augusto Faria, Gustavo Carneiro:
Why are Generative Adversarial Networks so Fascinating and Annoying? SIBGRAPI 2020: 1-8 - [c88]Filipe R. Cordeiro, Gustavo Carneiro:
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? SIBGRAPI 2020: 9-16 - [c87]David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf:
Probabilistic Object Detection: Definition and Evaluation. WACV 2020: 1020-1029 - [c86]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. WACV 2020: 3079-3089 - [i40]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayesian Meta-learning with Implicit Prior. CoRR abs/2003.02455 (2020) - [i39]Adrian Johnston, Gustavo Carneiro:
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume. CoRR abs/2003.13951 (2020) - [i38]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification. CoRR abs/2005.10550 (2020) - [i37]Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. CoRR abs/2006.14811 (2020) - [i36]Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis:
Few-Shot Microscopy Image Cell Segmentation. CoRR abs/2007.01671 (2020) - [i35]Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro:
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. CoRR abs/2007.02361 (2020) - [i34]Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. CoRR abs/2009.04091 (2020) - [i33]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR abs/2011.05704 (2020) - [i32]Filipe R. Cordeiro, Gustavo Carneiro:
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? CoRR abs/2012.03061 (2020) - [i31]Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro:
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). CoRR abs/2012.13973 (2020)
2010 – 2019
- 2019
- [j26]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 241 (2019) - [j25]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Anal. 58 (2019) - [c85]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR 2019: 10404-10413 - [c84]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. DICTA 2019: 1-8 - [c83]Adrian Johnston, Gustavo Carneiro:
Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation. DICTA 2019: 1-8 - [c82]Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. ICML 2019: 6295-6304 - [c81]Yu Tian, Leonardo Z. C. T. Pu, Rajvinder Singh, Alastair D. Burt, Gustavo Carneiro:
One-Stage Five-Class Polyp Detection and Classification. ISBI 2019: 70-73 - [c80]Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro:
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. ISBI 2019: 802-805 - [c79]Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro:
Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI. ISBI 2019: 1057-1060 - [c78]William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley:
Producing Radiologist-Quality Reports for Interpretable Deep Learning. ISBI 2019: 1275-1279 - [p5]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 163-178 - [e8]Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-030-13968-1 [contents] - [e7]Gustavo Carneiro, Shaodi You:
Computer Vision - ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11367, Springer 2019, ISBN 978-3-030-21073-1 [contents] - [i30]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR abs/1901.04623 (2019) - [i29]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR abs/1904.08720 (2019) - [i28]Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. CoRR abs/1904.11643 (2019) - [i27]Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. CoRR abs/1907.07816 (2019) - [i26]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. CoRR abs/1907.11864 (2019) - [i25]Leslie Casas, Gustavo Carneiro, Nassir Navab, Vasileios Belagiannis:
Few-Shot Meta-Denoising. CoRR abs/1908.00111 (2019) - [i24]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. CoRR abs/1908.02013 (2019) - [i23]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. CoRR abs/1908.04930 (2019) - [i22]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR abs/1909.12475 (2019) - [i21]Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Photoshopping Colonoscopy Video Frames. CoRR abs/1910.10345 (2019) - [i20]Saskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro:
Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT. CoRR abs/1910.10371 (2019) - 2018
- [j24]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 241-242 (2018) - [c77]Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) 2018: 3-18 - [c76]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. ECCV (6) 2018: 21-37 - [c75]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. MICCAI (1) 2018: 546-554 - [e6]Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga:
Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - [e5]Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi:
Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i19]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. CoRR abs/1805.10884 (2018) - [i18]William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer:
Producing radiologist-quality reports for interpretable artificial intelligence. CoRR abs/1806.00340 (2018) - [i17]Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. CoRR abs/1806.00911 (2018) - [i16]Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro:
Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI. CoRR abs/1807.07784 (2018) - [i15]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-consistent Generalized Zero-Shot Learning. CoRR abs/1808.00136 (2018) - [i14]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI. CoRR abs/1809.09404 (2018) - [i13]Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. CoRR abs/1810.06767 (2018) - [i12]Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro:
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR abs/1810.10117 (2018) - [i11]David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf:
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. CoRR abs/1811.10800 (2018) - 2017
- [j23]Tuan Anh Ngo, Zhi Lu, Gustavo Carneiro:
Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. Medical Image Anal. 35: 159-171 (2017) - [j22]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Anal. 37: 114-128 (2017) - [j21]David Ribeiro, Jacinto C. Nascimento, Alexandre Bernardino, Gustavo Carneiro:
Improving the performance of pedestrian detectors using convolutional learning. Pattern Recognit. 61: 641-649 (2017) - [j20]Zhibin Liao, Gustavo Carneiro:
A deep convolutional neural network module that promotes competition of multiple-size filters. Pattern Recognit. 71: 94-105 (2017) - [j19]Jacinto C. Nascimento, Gustavo Carneiro:
Deep Learning on Sparse Manifolds for Faster Object Segmentation. IEEE Trans. Image Process. 26(10): 4978-4990 (2017) - [j18]Zhi Lu, Gustavo Carneiro, Andrew P. Bradley, Daniela Ushizima, Masoud S. Nosrati, Andrea G. C. Bianchi, Cláudia M. Carneiro, Ghassan Hamarneh:
Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells. IEEE J. Biomed. Health Informatics 21(2): 441-450 (2017) - [j17]Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods. IEEE Trans. Medical Imaging 36(7): 1405-1417 (2017) - [j16]Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning. IEEE Trans. Medical Imaging 36(11): 2355-2365 (2017) - [c74]Jerome Williams, Gustavo Carneiro, David Suter:
Region of Interest Autoencoders with an Application to Pedestrian Detection. DICTA 2017: 1-8 - [c73]David Ribeiro, Gustavo Carneiro, Jacinto C. Nascimento, Alexandre Bernardino:
Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. IbPRIA 2017: 122-130 - [c72]Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. ICCV 2017: 2840-2848 - [c71]Adrian Johnston, Ravi Garg, Gustavo Carneiro, Ian D. Reid:
Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image. ICCV Workshops 2017: 930-939 - [c70]Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. ICIP 2017: 1737-1741 - [c69]Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer:
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. ISBI 2017: 130-134 - [c68]Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley:
Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. ISBI 2017: 305-309 - [c67]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Fully automated classification of mammograms using deep residual neural networks. ISBI 2017: 310-314 - [c66]Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid:
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. MICCAI (3) 2017: 665-673 - [c65]Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid:
A Bayesian Data Augmentation Approach for Learning Deep Models. NIPS 2017: 2797-2806 - [p4]Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1. Deep Learning for Medical Image Analysis 2017: 321-339 - [p3]Gustavo Carneiro, Yefeng Zheng, Fuyong Xing, Lin Yang:
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 11-32 - [p2]Tuan Anh Ngo, Gustavo Carneiro:
Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 197-224 - [p1]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 225-240 - [e4]M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro:
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10552, Springer 2017, ISBN 978-3-319-67533-6 [contents] - [e3]M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10553, Springer 2017, ISBN 978-3-319-67557-2 [contents] - [e2]Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets. Advances in Computer Vision and Pattern Recognition, Springer 2017, ISBN 978-3-319-42998-4 [contents] - [i10]