Michael B. Gotway
Orcid: 0000-0002-7090-3825
According to our database1,
Michael B. Gotway
authored at least 28 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Medical Image Anal., January, 2024
2023
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning.
IEEE Trans. Medical Imaging, 2021
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts.
Medical Image Anal., 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
2020
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
2019
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation.
Medical Image Anal., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts.
CoRR, 2018
2017
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
IEEE Trans. Medical Imaging, 2016
2015
Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2013
Mach. Vis. Appl., 2013
2011
Biomarkers associated with metastasis of lung cancer to brain predict patient survival.
Int. J. Data Min. Bioinform., 2011
2009
Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009