Carneiro, Gustavo

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Garg, R., BG, V. K., Carneiro, G., & Reid, I. (2016) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 1,632

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Garg, R., B.G., V. K., Carneiro, G., & Reid, I. (2016) · Lecture Notes in Computer Science

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 1,632

Hidden stratification causes clinically meaningful failures in machine learning for medical imaging

Oakden-Rayner, L., Dunnmon, J., Carneiro, G., & Re, C. (2020) · Proceedings of the ACM Conference on Health, Inference, and Learning

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 411

Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree

Carneiro, G., Georgescu, B., Good, S., & Comaniciu, D. (2008) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 205

Precision radiology: predicting longevity using feature engineering and deep learning methods in a radiomics framework

Oakden-Rayner, L., Carneiro, G., Bessen, T., Nascimento, J. C., Bradley, A. P., & Palmer, L. J. (2017) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingMachine Learning in Healthcare

Cited by 154

Multi-scale phase-based local features

Carneiro, G., & Jepson, A. D. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 104

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Tian, Y., Pang, G., Liu, F., Chen, Y., Shin, S. H., Verjans, J. W., Singh, R., & Carneiro, G. (2021) · Lecture Notes in Computer Science

Anomaly Detection Techniques and ApplicationsMedical Image Segmentation Techniques

Cited by 77

Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy

Carneiro, G., Zorron Cheng Tao Pu, L., Singh, R., & Burt, A. (2020) · Medical Image Analysis

Colorectal Cancer Screening and DetectionExplainable Artificial Intelligence (XAI)

Cited by 76

Deep learning on sparse manifolds for faster object segmentation

Nascimento, J. C., & Carneiro, G. (2017) · IEEE Transactions on Image Processing

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 17

Deep learning in the marking of medical student short answer question examinations: Student perceptions and pilot accuracy assessment

Hollis-Sando, L., Pugh, C., Franke, K., Zerner, T., Tan, Y., Carneiro, G., Van den Hengel, A., Symonds, I., Duggan, P., & Bacchi, S. (2023) · Focus on Health Professional Education: A Multi-Professional Journal

Innovations in Medical EducationArtificial Intelligence in Healthcare and Education

Cited by 7