Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian Reid, Stephen Gould, Peter Corke. Semantics for Robotic Mapping, Perception and Interaction: A Survey. Foundations and Trends® in Robotics. 2020 Dec 22;8(1–2):1-224.[pdf]
Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto Nascimento. LOW: Training Deep Neural Networks by Learning Optimal Sample Weights. Pattern Recognition (2021) [link]
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro. Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. International Conference on Computer Vision (ICCV) 2021. [pdf]
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro. Probabilistic task modelling for meta-learning. Conference on Uncertainty in Artificial Intelligence (UAI) 2021. [pdf]
Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro. PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. British Machine Vision Conference (BMVC) 2021. [pdf]
Yaqub Jonmohamadi, Shahnevaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay Pandey. 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training. International Conference Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021. [pdf]
Minh-Son To, Ian Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro. Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. International Conference Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021. [pdf]
Yu Tian, Guansong Pang, Fengbei Liu, Seon Ho Shin, Johan W. Verjans, Rajvinder Singh, and Gustavo Carneiro. Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. International Conference Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021. [pdf]
Adrian Galdran , Gustavo Carneiro, Miguel Angel González Ballester. Balanced-MixUp for highly imbalanced medical image classification. International Conference Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021. [pdf]
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro. EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. Winter Conference on Applications of Computer Vision (WACV) 2021.[pre-print]
Renato Hermoza Aragones, Gabriel Maicas Suso, Jacinto Nascimento, Gustavo Carneiro. Post-hoc Overall Survival Time Prediction from Brain MRI. International Symposium on Biomedical Imaging (ISBI) 2021. [pre-print]
Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, and Gustavo Carneiro. A Chaos Theory Approach to Understand Neural Network Optimization. International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2021. [pdf]
Hoang Son Le, Rini Akmeliawati, Gustavo Carneiro. Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error. International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2021.[pdf]
Hoang Son Le, Rini Akmeliawati, Gustavo Carneiro (2021). Domain Generalisation with Domain Augmented Supervised Contrastive Learning. AAAI Conference on Artificial Intelligence. Student Abstract. 2021 [pdf].
Tiing Leong Ang and Gustavo Carneiro. Artificial intelligence in gastrointestinal endoscopy. Journal of Gastroentorology and Hepatology (2021): 5-6. [link]
Linh Nguyen, Cuong Cao Nguyen, Gustavo Carneiro, Heike Ebendorff-Heidepriem, Stephen Warren-Smith. Sensing in the presence of strong noise by deep learning of dynamic multimode fiber interference. Photonics Research, 2021.
Sergei Bedrikovetski, Nagendra N Dudi-Venkata, Gabriel Maicas Warren Seow, Hidde M. Kroon, 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. Artificial Intelligence in Medicine, 2021.
Artur Banach, Mario Strydom, Anjali Jaiprakash, Gustavo Carneiro, Anders Eriksson, Ross Crawford, and Aaron McFadyen. Visual Localisation for Knee Arthroscopy. International Journal of Computer Assisted Radiology and Surgery 16, no. 12 (2021): 2137-2145.[pdf]
Gustavo Carneiro, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Alastair Burt. Deep Learning Uncertainty and Confidence Calibration for the Five-class Polyp Classification from Colonoscopy. Medical Image Analysis (2020) [pre-print].
Leonardo Zorron Cheng Tao Pu, Gabriel Maicas, Yu Tian, Takeshi Yamamura, Masanao Nakamura, Hiroto Suzuki, Gurfarmaan Singh, Khizar Rana, Yoshiki Hirooka, Alastair D. Burt, Mitsuhiro Fujishiro, Gustavo Carneiro, Rajvinder Singh. Computer-aided diagnosis for characterization of colorectal lesions: a comprehensive software including serrated lesions. Gastrointestinal Endoscopy (GIE) 2020. [pubmed link]
Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner4 (Editors)(2020). Special Issue on Deep Learning for Robotic Vision. International Journal of Computer Vision (2020). [link]
Yaqub Jonmohamadi , Yu Takeda, Fengbei Liu , Fumio Sasazawa, Gabriel Maicas, Ross Crawford, Jonathan Roberts, Ajay Pandey, Gustavo Carneiro. Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning. IEEE Access (2020) [pre-print].
Artur Banach, Mario Strydom, Anjali Jaiprakash, Ross Crawford, Gustavo Carneiro, Cameron Brown, Aaron McFadyen. Saliency improvement in feature-poor surgical environments using Local Laplacian of Specified Histograms. IEEE Access 2020.
Maria Antico, Fumio Sasazawa, Yu Takeda, Anjali Tumkur Jaiprakash, M-L. Wille, Ajay Pandey, Ross Crawford, Gustavo Carneiro, and Davide Fontanarosa (2020). Bayesian CNN for segmentation uncertainty inference on 4D ultrasound images of the femoral cartilage for guidance in robotic knee arthroscopy. IEEE Access (2020).
Ranasinghe I, Hossain S, Ali A, Horton D, Adams RJ, Aliprandi-Costa B, Bertilone C, Carneiro G, Gallagher M, Guthridge S, Kaambwa B. SAFety, Effectiveness of care and Resource use among Australian Hospitals (SAFER Hospitals): a protocol for a population-wide cohort study of outcomes of hospital care. BMJ open. 2020 Aug 1;10(8):e035446. [link]
Adrian Johnston, Gustavo Carneiro. Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020) [pre-print]
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro. Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification. International Conference on Medical Imaging Computing and Computer-Assisted Intervention (MICCAI) 2020 [pre-print][presentation]
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. In International Conference on Medical Imaging Computing and Computer-Assisted Intervention (MICCAI) 2020 [pre-print][video][presentation]
Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, and Gustavo Carneiro. Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. In International Conference on Medical Imaging Computing and Computer-Assisted Intervention (MICCAI) 2020 [pre-print][video]
Rafael Felix, Michele Sasdelli, Ian Reid, Gustavo Carneiro. Augmentation Network for Generalised Zero-Shot Learning. Asian Confence on Computer Vision (ACCV) 2020.[pre-print]
Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis. Few-Shot Microscopy Image Cell Segmentation. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2020 [pre-print]
Binh Nguyen, Binh Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang Tran and Thanh-Toan Do. Deep Metric Learning Meets Deep Clustering: A Novel Unsupervised Approach for Feature Embedding. British Machine Vision Conference (BMVC) 2020 [link]
Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C Nascimento, Gustavo Carneiro. Unsupervised Task Design to Meta-Train Medical Image Classifiers. International Symposium on Biomedical Imaging (ISBI) 2020. [pre-print] [Video]
Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo ZCT Pu, Rajvinder Singh, Johan W Verjans, Gustavo Carneiro. Photoshopping Colonoscopy Video Frames. International Symposium on Biomedical Imaging (ISBI) 2020. [pre-print] [Video]
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. International Symposium on Biomedical Imaging (ISBI) 2020. [pre-print] [Video]
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro. Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. Winter Conference on Applications of Computer Vision (WACV ’20) [pre-print].
David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf. Probability-based detection quality (pdq): A probabilistic approach to detection evaluation. Winter Conference on Applications of Computer Vision (WACV ’20) [pre-print]
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré. Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. ACM Conference on Health, Inference, and Learning (ACM CHIL) 2020. [pre-print]
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro. Similarity of Classification Tasks. Workshop on Meta-Learning (MetaLearn 2020) at Neurips 2020. [pdf]
Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro. Generalised Zero-shot Learning with Multi-modalEmbedding Spaces. International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2020. [pre-print]
S.M. Camps, T. Houben, G. Carneiro, C. Edwards, M. Antico, M. Dunnhofer, E.G.H.J. Martens, J.A. Baeza, B.G.L. Vanneste, E.J. van Limbergen, P.H.N. de With, F. Verhaegen, D. Fontanarosa. Automatic quality assessment of transperineal ultrasound images of the male pelvic region using deep learning. Ultrasound in medicine & biology 46.2 (2020): 422-435. [pre-print]
M. Antico, F. Sasazawa, M. Dunnhofer, S.M. Camps, A.T. Jaiprakash, A.K. Pandey, R. Crawford, G. Carneiro, D. Fontanarosa. Deep Learning based femoral cartilage automatic segmentation in ultrasound imaging for robotic knee arthroscopy. Ultrasound in medicine & biology 46.2 (2020): 422-435. [pre-print]
Fabio Faria and Gustavo Carneiro. Why are Generative Adversarial Networks so Fascinating and Annoying?. 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE, 2020.[pre-print]
Filipe Cordeiro and Gustavo Carneiro. A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE, 2020. [pre-print]
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. In Medical Image Analysis 58 (2019): 101562. [pdf] [Video] [Tweet]
Dunnhofer, Matteo, Maria Antico, Fumio Sasazawa, Yu Takeda, Saskia Camps, Niki Martinel, Christian Micheloni, Gustavo Carneiro, and Davide Fontanarosa. Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Analysis (2019): 101631. [pdf]
Jacinto Nascimento, Gustavo Carneiro. One shot segmentation: unifying rigid detection and non-rigid segmentation using elastic regularization. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019. [pdf]
L. Lu, X. Wang, G. Carneiro, L. Yang (Editors). Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Book published by Springer in 2019 [link]
Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke. A probabilistic challenge for object detection. Invited paper by Nature Machine Intelligence 1 (9) Pages 443-443. [link]
J. Verjans, W.B. Veldhuis, G. Carneiro, J.M. Wolterink, I. Išgum, T. Leiner (2019) Cardiovascular Diseases (invited book chapter). In: Ranschaert E., Morozov S., Algra P. (eds) Artificial Intelligence in Medical Imaging. Springer, Cham. [link]
Toan Tran, Thanh-Toan Do, Ian Reid, Gustavo Carneiro. Bayesian Generative Active Deep Learning. International Conference on Machine Learning (ICML) 2019. [pdf]
Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro. A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. Conference on Computer Vision and Pattern Recognition (CVPR) 2019. [pdf]
Yu Tian, Leonardo Z.C.T. Pu, Rajvinder Singh, Alastair D. Burt, Gustavo Carneiro. One-stage Five-class Polyp Detection and Classification. International Symposium on Biomedical Imaging (ISBI) 2019. [pdf]
Gabriel Maicas, Gerard Snaauw, Andrew Bradley, Ian Reid, Gustavo Carneiro. Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI. International Symposium on Biomedical Imaging (ISBI) 2019. [preprint]
Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton Van Den Hengel, Wiro Niessen, Johan Verjans, Gustavo Carneiro. End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. International Symposium on Biomedical Imaging (ISBI) 2019. [preprint]
William Gale, Gustavo Carneiro, Luke Oakden-Rayner, Lyle Palmer, Andrew Bradley. Producing radiologist quality reports for interpretable deep learning. International Symposium on Biomedical Imaging (ISBI) 2019. [preprint]
Rafael Felix, Ben Harwood, Michele Sasdelli and Gustavo Carneiro. Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2019 [pre-print]
Adrian Johnston and Gustavo Carneiro. Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation. International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2019 [pre-print].
L Pu, Zorron Cheng Tao, G Maicas, Y Tian, T Yamamura, G Singh, K Rana, H Suzuki, M Nakamura, Y Hirooka, A Burt, M Fujishiro, G Carneiro, R Singh. Prospective study assessing a comprehensive computer-aided diagnosis for characterization of colorectal lesions: Results from different centers and imaging technologies. In Journal of Gastroenterology and Hepatology, vol. 34, pp. 25-26. 2019. [link]
Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro. Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2018. [preprint]
Rafael Felix, Vijay Kumar B G, Ian Reid, Gustavo Carneiro. Multi-modal Cycle-consistent Generalized Zero-Shot Learning. European Conference on Computer Vision (ECCV) 2018. [preprint]
Trung Pham, Vijay Kumar B G, Thanh-Toan Do, Gustavo Carneiro, Ian Reid. Bayesian Instance Segmentation in Open Set World. European Conference on Computer Vision (ECCV) 2018. [preprint]
Gabriel Maicas, Andrew Bradley, Jacinto Nascimento, Ian Reid, Gustavo Carneiro. Training Medical Image Analysis Systems like Radiologists. International Conference on Medical Imaging Computing and Computer Assisted Intervention (MICCAI) 2018. [preprint].
Saskia M. Camps, Tim Houben, Davide Fontanarosa, Christopher Edwards, Maria Antico, Matteo Dunnhofer, Esther G.H.J. Martens, Jose A. Baeza, Ben G.L. Vanneste, Evert J. van Limbergen, Peter H.N. de With, Frank Verhaegen, Gustavo Carneiro. One-class Gaussian process regressor for quality assessment of transperineal ultrasound images. International conference on Medical Imaging with Deep Learning (MIDL) 2018. [link]
Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu & Vasileios Belagiannis (2018) 1st MICCAI workshop on deep learning in medical image analysis, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 6:3, 241-242, DOI: 10.1080/21681163.2018.1457242
L.Z.C.T. Pu, B. Campbell, A.D. Burt, G. Carneiro, and R. Singh, R., (2018). Computer-aided Diagnosis for Characterising Colorectal Lesions: Interim Results of a Newly Developed Software. Gastrointestinal Endoscopy, 87(6), 2018.
L.Z.C.T. Pu, K. Lu, A. Ovenden, S. Edwards, B. Wilson, G. Carneiro, A.D. Burt, and R. Singh (2018). Effect of Training and Time of the Day on Polyp Detection Rates in Australia. Gastrointestinal Endoscopy, 87(6), 2018.