David Chapman
Orcid: 0000-0003-1722-9883Affiliations:
- University of Maryland, Medical Center, Baltimore, MD, USA
According to our database1,
David Chapman
authored at least 29 papers
between 2008 and 2023.
Collaborative distances:
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Bibliography
2023
CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images.
J. Digit. Imaging, August, 2023
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget.
CoRR, 2023
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE).
CoRR, 2022
Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation.
IEEE Access, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
J. Digit. Imaging, 2021
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation.
CoRR, 2021
CoRR, 2021
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network.
CoRR, 2021
IEEE Access, 2021
An Intelligent Parallel Distributed Streaming Framework for near Real-time Science Sensors and High-Resolution Medical Images.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021
Hybrid Classification for Handwritten Character Recognition of a Subset of the Tamil Alphabet.
Proceedings of the 6th IEEE Congress on Information Science and Technology, 2021
Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
CoRR, 2020
Segmentation of stem cell colonies in fluorescence microscopy images with transfer learning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2013
A Data Intensive Statistical Aggregation Engine: A Case Study for Gridded Climate Records.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013
2012
A Hybrid Scheduling Algorithm for Data Intensive Workloads in a MapReduce Environment.
Proceedings of the IEEE Fifth International Conference on Utility and Cloud Computing, 2012
Sub-cellular feature detection and automated extraction of collocalized actin and myosin regions.
Proceedings of the ACM International Health Informatics Symposium, 2012
A near fundamental decadal data record of airs infrared surface brightness temperatures.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Noise reduction in gridded airs brightness temperature grids using the MODIS Obscov algorithm.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2010
Proceedings of the Handbook of Cloud Computing., 2010
2009
Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies.
IEEE Trans. Geosci. Remote. Sens., 2009
2008
Providing Gridded Atmospheric Radiance Products and Services from MODIS and AIRS Instruments on NASA's Aqua Satellite.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
A Semi-Decadal Multi-Sensor Gridded Data Record of Outgoing Longwave Radiation (OLR) from Aqua.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008