Joseph Jacob
Orcid: 0000-0002-8054-2293
According to our database1,
Joseph Jacob
authored at least 33 papers
between 2000 and 2024.
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Bibliography
2024
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., December, 2024
Medical Image Anal., January, 2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CoRR, 2024
2023
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging, October, 2023
Pattern Recognit., June, 2023
A 3D deep learning classifier and its explainability when assessing coronary artery disease.
CoRR, 2023
CoRR, 2023
CoRR, 2023
2022
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
CoRR, 2022
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.
CoRR, 2022
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial.
IEEE Access, 2022
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022
2021
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
CoRR, 2021
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR, 2021
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.
IEEE Access, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic.
Nat. Mach. Intell., 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Proceedings of the Cellular Automata, 2020
Proceedings of the Cellular Automata, 2020
2019
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis.
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
2017
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior.
IEEE Trans. Medical Imaging, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2000
Proceedings of the ACM-GIS 2000, 2000