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2020 – today
- 2023
[j43]Cuong Nguyen
, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 841-851 (2023)- [j42]Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. 133: 109013 (2023) - [j41]Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. 134: 109121 (2023) - [c140]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV 2023: 2287-2297 - [c139]Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. WACV 2023: 3557-3566 - [c138]Brandon Smart, Gustavo Carneiro:
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. WACV 2023: 5333-5343 - [i92]Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro:
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. CoRR abs/2301.01143 (2023) - [i91]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Task Weighting in Meta-learning with Trajectory Optimisation. CoRR abs/2301.01400 (2023) - [i90]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. CoRR abs/2301.01405 (2023) - [i89]Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Learning Support and Trivial Prototypes for Interpretable Image Classification. CoRR abs/2301.04011 (2023) - [i88]Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos Pe na-Solorzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro:
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations. CoRR abs/2301.13418 (2023) - [i87]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - [i86]Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. CoRR abs/2303.01099 (2023) - [i85]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR abs/2303.10802 (2023) - 2022
- [c137]Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI 2022: 383-392 - [c136]Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR 2022: 4248-4257 - [c135]Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro:
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR 2022: 20665-20674 - [c134]Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. ECCV (37) 2022: 200-217 - [c133]Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro:
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) 2022: 246-263 - [c132]Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro:
Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. EMBC 2022: 3510-3513 - [c131]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio A. Faria:
Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. ICIP 2022: 2581-2585 - [c130]David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. ISBI 2022: 1-5 - [c129]Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) 2022: 3-13 - [c128]Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro:
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. MICCAI (3) 2022: 14-24 - [c127]Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. MOVI@MICCAI 2022: 22-31 - [c126]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. DFUC@MICCAI 2022: 40-51 - [c125]Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro:
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) 2022: 88-98 - [c124]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. MICCAI (8) 2022: 213-222 - [c123]Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester:
Test Time Transform Prediction for Open Set Histopathological Image Recognition. MICCAI (2) 2022: 263-272 - [c122]Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro:
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) 2022: 544-553 - [c121]Emeson Pereira, Gustavo Carneiro, Filipe R. Cordeiro:
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. SIBGRAPI 2022: 25-30 - [i84]Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro:
Mutual information neural estimation for unsupervised multi-modal registration of brain images. CoRR abs/2201.10305 (2022) - [i83]David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. CoRR abs/2201.11450 (2022) - [i82]Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro:
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. CoRR abs/2203.01937 (2022) - [i81]Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR abs/2203.11725 (2022) - [i80]Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro:
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR abs/2203.12121 (2022) - [i79]Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR abs/2203.14523 (2022) - [i78]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria:
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR abs/2204.13572 (2022) - [i77]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images. CoRR abs/2205.13226 (2022) - [i76]Adrian Galdran, Katherine Jane Hewitt, Narmin L. Ghaffari, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester:
Test Time Transform Prediction for Open Set Histopathological Image Recognition. CoRR abs/2206.10033 (2022) - [i75]Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction. CoRR abs/2207.10851 (2022) - [i74]Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation. CoRR abs/2208.02105 (2022) - [i73]Hsiang-Ting Chen, Yuan Zhang, Gustavo Carneiro, Seon-Ho Shin, Rajvinder Singh:
Toward a Human-Centered AI-assisted Colonoscopy System. CoRR abs/2208.02523 (2022) - [i72]Dung Anh Hoang, Cuong Nguyen, Vasileios Belagiannis, Gustavo Carneiro:
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. CoRR abs/2208.08132 (2022) - [i71]Alvaro R. Ferreira Jr., Fábio Augusto Faria, Gustavo Carneiro, Vinicius Veloso de Melo:
An Evolutionary Approach for Creating of Diverse Classifier Ensembles. CoRR abs/2208.10996 (2022) - [i70]Emeson Santana, Gustavo Carneiro, Filipe R. Cordeiro:
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. CoRR abs/2208.11176 (2022) - [i69]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR abs/2209.00906 (2022) - [i68]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. CoRR abs/2209.06078 (2022) - [i67]Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR abs/2209.10478 (2022) - [i66]Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro:
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. CoRR abs/2209.12420 (2022) - [i65]Brandon Smart, Gustavo Carneiro:
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. CoRR abs/2210.08826 (2022) - [i64]Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. CoRR abs/2211.10244 (2022) - [i63]Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR abs/2211.14512 (2022) - 2021
- [j40]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) - [j39]Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Anders P. Eriksson, Ross Crawford, Aaron McFadyen:
Visual Localisation for Knee Arthroscopy. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2137-2145 (2021) - [j38]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) - [c120]Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro:
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). AAAI 2021: 15821-15822 - [c119]Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. BMVC 2021: 187 - [c118]Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi:
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 133-140 - [c117]Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro:
Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error. DICTA 2021: 1-8 - [c116]Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro:
A Chaos Theory Approach to Understand Neural Network Optimization. DICTA 2021: 1-10 - [c115]Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV 2021: 4955-4966 - [c114]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks. EndoCV@ISBI 2021: 9-16 - [c113]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-Hoc Overall Survival Time Prediction From Brain MRI. ISBI 2021: 1476-1480 - [c112]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. DFUC@MICCAI 2021: 21-29 - [c111]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. MICCAI (5) 2021: 128-140 - [c110]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Balanced-MixUp for Highly Imbalanced Medical Image Classification. MICCAI (5) 2021: 323-333 - [c109]Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey:
3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. MICCAI (2) 2021: 383-393 - [c108]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. MLMI@MICCAI 2021: 426-436 - [c107]Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro:
Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. MICCAI (7) 2021: 670-680 - [c106]Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic task modelling for meta-learning. UAI 2021: 781-791 - [c105]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. WACV 2021: 3606-3614 - [i62]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) - [i61]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) - [i60]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) - [i59]Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR abs/2101.10043 (2021) - [i58]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Similarity of Classification Tasks. CoRR abs/2101.11201 (2021) - [i57]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-hoc Overall Survival Time Prediction from Brain MRI. CoRR abs/2102.10765 (2021) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro:
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. CoRR abs/2106.00919 (2021) - [i50]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic task modelling for meta-learning. CoRR abs/2106.04802 (2021) - [i49]Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey:
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training. CoRR abs/2106.05525 (2021) - [i48]Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR abs/2109.01303 (2021) - [i47]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Balanced-MixUp for Highly Imbalanced Medical Image Classification. CoRR abs/2109.09850 (2021) - [i46]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. CoRR abs/2110.01939 (2021) - [i45]Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR abs/2110.11809 (2021) - [i44]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. CoRR abs/2111.06894 (2021) - [i43]Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro:
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR abs/2111.12264 (2021) - [i42]Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR abs/2111.12903 (2021) - [i41]Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro:
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR abs/2111.12918 (2021) - 2020
- [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [c104]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) 2020: 442-458 - [c103]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 - [c102]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 - [c101]Adrian Johnston, Gustavo Carneiro:
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. CVPR 2020: 4755-4764 - [c100]Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro:
Generalised Zero-shot Learning with Multi-modal Embedding Spaces. DICTA 2020: 1-8 - [c99]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. ICPR Workshops (8) 2020: 275-282 - [c98]