Colin Jacobs
Orcid: 0000-0003-1180-3805
According to our database1,
Colin Jacobs
authored at least 33 papers
between 2011 and 2024.
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Bibliography
2024
2023
Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients.
Medical Image Anal., May, 2023
Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks.
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
2022
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison.
IEEE Trans. Artif. Intell., 2022
Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe.
Astron. Comput., 2022
2021
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients.
CoRR, 2021
What happened here? Children integrate physical reasoning to infer actions from indirect evidence.
Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021
2020
Surveying the reach and maturity of machine learning and artificial intelligence in astronomy.
WIREs Data Mining Knowl. Discov., 2020
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans.
IEEE Trans. Medical Imaging, 2020
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study.
CoRR, 2020
Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients.
CoRR, 2020
Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
2018
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network.
CoRR, 2018
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
2017
Organ detection in thorax abdomen CT using multi-label convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
IEEE Trans. Medical Imaging, 2016
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.
CoRR, 2016
Towards automatic pulmonary nodule management in lung cancer screening with deep learning.
CoRR, 2016
2015
IEEE Trans. Medical Imaging, 2015
Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Automatic detection of spiculation of pulmonary nodules in computed tomography images.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images.
Medical Image Anal., 2014
Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2011
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011