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ORCIDDavid Chapman 0001
Person information
- affiliation: University of Maryland, Medical Center, Baltimore, MD, USA
Other persons with the same name
- David Chapman — disambiguation page
- David Chapman 0002
![[0000-0001-8728-7240]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8728-7240")
— Open University, Department of Communication and Systems, Milton Keynes, UK
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Journal Articles
- 2023
[j5]Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman:
CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images. J. Digit. Imaging 36(4): 1376-1389 (2023)- 2022
- [j4]Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman:
Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation. IEEE Access 10: 45997-46013 (2022) - 2021
- [j3]Binit Gajera, Siddhant Raj Kapil, Dorsa Ziaei, Jayalakshmi Mangalagiri, Eliot Siegel, David Chapman:
CT-Scan Denoising Using a Charbonnier Loss Generative Adversarial Network. IEEE Access 9: 84093-84109 (2021) - [j2]Kushal Mehta, Arshita Jain, Jayalakshmi Mangalagiri, Sumeet Menon, Phuong Nguyen, David R. Chapman:
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs. J. Digit. Imaging 34(3): 647-666 (2021) - 2009
- [j1]Milton Halem, Neal Most, Curt Tilmes, Kevin Stewart, Yelena Yesha, David Chapman, Phuong Nguyen:
Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies. IEEE Trans. Geosci. Remote. Sens. 47(1-1): 114-122 (2009)
Conference and Workshop Papers
- 2024
- [c16]Michael Majurski, Sumeet Menon, Parniyan Farvardin, David Chapman:
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning. CVPR Workshops 2024: 7809-7818 - 2023
- [c15]Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman:
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract). AAAI 2023: 16314-16315 - 2022
- [c14]Mason Schuckman, Roy Prouty, David Chapman, Don Engel:
Using Moffat Profiles to Register Astronomical Images. ECCV Workshops (1) 2022: 80-95 - 2021
- [c13]Jayalakshmi Mangalagiri, Jones Sam Sugumar, Sumeet Menon, David Chapman, Yaacov Yesha, Aryya Gangopadhyay, Yelena Yesha, Phuong Nguyen:
Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs. IEEE BigData 2021: 4387-4395 - [c12]Aditya Viswanathan Kaliappan, David Chapman:
Hybrid Classification for Handwritten Character Recognition of a Subset of the Tamil Alphabet. CIST 2021: 167-172 - [c11]Samit Shivadekar, Jayalakshmi Mangalagiri, Phuong Nguyen, David Chapman, Milton Halem, Rahul Gite:
An Intelligent Parallel Distributed Streaming Framework for near Real-time Science Sensors and High-Resolution Medical Images. ICPP Workshops 2021: 7:1-7:9 - 2020
- [c10]Sumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris:
Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN. IEEE BigData 2020: 1216-1225 - [c9]Phuong Nguyen, David Chapman, Sumeet Menon, Michael Morris, Yelena Yesha:
Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data. Medical Imaging: Computer-Aided Diagnosis 2020 - [c8]Dorsa Ziaei, David Chapman, Yaacov Yesha, Milton Halem:
Segmentation of stem cell colonies in fluorescence microscopy images with transfer learning. Medical Imaging: Image Processing 2020: 113132C - 2013
- [c7]David Chapman, Tyler A. Simon, Phuong Nguyen, Milton Halem:
A Data Intensive Statistical Aggregation Engine: A Case Study for Gridded Climate Records. IPDPS Workshops 2013: 2157-2164 - 2012
- [c6]Phuong Nguyen, David Chapman, Milton Halem, Jeff Avery:
A near fundamental decadal data record of airs infrared surface brightness temperatures. IGARSS 2012: 3708-3711 - [c5]David Chapman, Milton Halem, Phuong Nguyen, Jeff Avery:
Noise reduction in gridded airs brightness temperature grids using the MODIS Obscov algorithm. IGARSS 2012: 4742-4745 - [c4]Justin Martineau, Ronil Mokashi, David Chapman, Michael A. Grasso, Mary Brady, Yelena Yesha, Yaacov Yesha, Antonio Cardone, Alden Dima:
Sub-cellular feature detection and automated extraction of collocalized actin and myosin regions. IHI 2012: 399-408 - [c3]Phuong Nguyen, Tyler A. Simon, Milton Halem, David Chapman, Quang Le:
A Hybrid Scheduling Algorithm for Data Intensive Workloads in a MapReduce Environment. UCC 2012: 161-167 - 2008
- [c2]Milton Halem, Curt Tilmes, Yelena Yesha, David Chapman, Phuong Nguyen:
Providing Gridded Atmospheric Radiance Products and Services from MODIS and AIRS Instruments on NASA's Aqua Satellite. IGARSS (4) 2008: 127-128 - [c1]Milton Halem, David Chapman, Phuong Nguyen:
A Semi-Decadal Multi-Sensor Gridded Data Record of Outgoing Longwave Radiation (OLR) from Aqua. IGARSS (3) 2008: 334-337
Parts in Books or Collections
- 2010
- [p1]David Chapman, Karuna P. Joshi, Yelena Yesha, Milton Halem, Yaacov Yesha, Phuong Nguyen:
Scientific Services on the Cloud. Handbook of Cloud Computing 2010: 379-405
Informal and Other Publications
- 2024
- [i10]Michael Majurski, Sumeet Menon, Parniyan Farvardin, David Chapman:
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning. CoRR abs/2404.17978 (2024) - 2023
- [i9]Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman:
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget. CoRR abs/2302.06134 (2023) - 2022
- [i8]Sumeet Menon, David Chapman:
Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE). CoRR abs/2206.14261 (2022) - 2021
- [i7]Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha, Joshua Galita, Sumeet Menon, Yelena Yesha, Babak Saboury, Michael Morris, Phuong Nguyen:
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network. CoRR abs/2104.02060 (2021) - [i6]Charu Sharma, Siddhant Raj Kapil, David Chapman:
Person Re-Identification with a Locally Aware Transformer. CoRR abs/2106.03720 (2021) - [i5]Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman:
CCS-GAN: COVID-19 CT-scan classification with very few positive training images. CoRR abs/2110.01605 (2021) - [i4]Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman:
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation. CoRR abs/2111.04893 (2021) - 2020
- [i3]Sumeet Menon, Joshua Galita, David R. Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris:
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN. CoRR abs/2009.12478 (2020) - [i2]Sumeet Menon, David R. Chapman, Phuong Nguyen, Yelena Yesha, Michael Morris, Babak Saboury:
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening. CoRR abs/2010.01173 (2020) - [i1]Kushal Mehta, Arshita Jain, Jayalakshmi Mangalagiri, Sumeet Menon, Phuong Nguyen, David R. Chapman:
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs. CoRR abs/2010.11682 (2020)
Coauthor Index
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