A Semi-Decadal Multi-Sensor Gridded Data Record of Outgoing Longwave Radiation (OLR) from Aqua. - Milton Halem; David Chapman 001; Phuong Nguyen (IGARSS (3), 2008)

Providing Gridded Atmospheric Radiance Products and Services from MODIS and AIRS Instruments on NASA's Aqua Satellite. - Milton Halem; Curt Tilmes; Yelena Yesha; David Chapman 001; Phuong Nguyen (IGARSS (4), 2008)

Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies. - Milton Halem; Neal Most; Curt Tilmes; Kevin Stewart; Yelena Yesha; David Chapman 001; Phuong Nguyen (IEEE Trans. Geosci. Remote. Sens., 2009)

Scientific Services on the Cloud. - David Chapman 001; Karuna P. Joshi; Yelena Yesha; Milton Halem; Yaacov Yesha; Phuong Nguyen (Handbook of Cloud Computing, 2010)

Noise reduction in gridded airs brightness temperature grids using the MODIS Obscov algorithm. - David Chapman 001; Milton Halem; Phuong Nguyen; Jeff Avery (IGARSS, 2012)

A near fundamental decadal data record of airs infrared surface brightness temperatures. - Phuong Nguyen; David Chapman 001; Milton Halem; Jeff Avery (IGARSS, 2012)

Sub-cellular feature detection and automated extraction of collocalized actin and myosin regions. - Justin Martineau; Ronil Mokashi; David Chapman 001; Michael A. Grasso; Mary Brady; Yelena Yesha; Yaacov Yesha; Antonio Cardone; Alden Dima (IHI, 2012)

A Hybrid Scheduling Algorithm for Data Intensive Workloads in a MapReduce Environment. - Phuong Nguyen; Tyler A. Simon; Milton Halem; David Chapman 001; Quang Le (UCC, 2012)

A Data Intensive Statistical Aggregation Engine: A Case Study for Gridded Climate Records. - David Chapman 001; Tyler A. Simon; Phuong Nguyen; Milton Halem (IPDPS Workshops, 2013)

Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN. - Sumeet Menon; Joshua Galita; David Chapman 001; Aryya Gangopadhyay; Jayalakshmi Mangalagiri; Phuong Nguyen; Yaacov Yesha; Yelena Yesha; Babak Saboury; Michael Morris (IEEE BigData, 2020)

Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data. - Phuong Nguyen; David Chapman 001; Sumeet Menon; Michael Morris; Yelena Yesha (Computer-Aided Diagnosis, 2020)

Segmentation of stem cell colonies in fluorescence microscopy images with transfer learning. - Dorsa Ziaei; David Chapman 001; Yaacov Yesha; Milton Halem (Image Processing, 2020)

Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN. - Sumeet Menon; Joshua Galita; David R. Chapman 001; Aryya Gangopadhyay; Jayalakshmi Mangalagiri; Phuong Nguyen; Yaacov Yesha; Yelena Yesha; Babak Saboury; Michael Morris (CoRR, 2020)

Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening. - Sumeet Menon; David R. Chapman 001; Phuong Nguyen; Yelena Yesha; Michael Morris; Babak Saboury (CoRR, 2020)

Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs. - Jayalakshmi Mangalagiri; Jones Sam Sugumar; Sumeet Menon; David Chapman 001; Yaacov Yesha; Aryya Gangopadhyay; Yelena Yesha; Phuong Nguyen (IEEE BigData, 2021)

Hybrid Classification for Handwritten Character Recognition of a Subset of the Tamil Alphabet. - Aditya Viswanathan Kaliappan; David Chapman 001 (CIST, 2021)

An Intelligent Parallel Distributed Streaming Framework for near Real-time Science Sensors and High-Resolution Medical Images. - Samit Shivadekar; Jayalakshmi Mangalagiri; Phuong Nguyen; David Chapman 001; Milton Halem; Rahul Gite (ICPP Workshops, 2021)

CT-Scan Denoising Using a Charbonnier Loss Generative Adversarial Network. - Binit Gajera; Siddhant Raj Kapil; Dorsa Ziaei; Jayalakshmi Mangalagiri; Eliot Siegel; David Chapman 001 (IEEE Access, 2021)

Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network. - Jayalakshmi Mangalagiri; David Chapman 001; Aryya Gangopadhyay; Yaacov Yesha; Joshua Galita; Sumeet Menon; Yelena Yesha; Babak Saboury; Michael Morris; Phuong Nguyen (CoRR, 2021)

Person Re-Identification with a Locally Aware Transformer. - Charu Sharma; Siddhant Raj Kapil; David Chapman 001 (CoRR, 2021)

CCS-GAN: COVID-19 CT-scan classification with very few positive training images. - Sumeet Menon; Jayalakshmi Mangalagiri; Joshua Galita; Michael Morris; Babak Saboury; Yaacov Yesha; Yelena Yesha; Phuong Nguyen; Aryya Gangopadhyay; David Chapman 001 (CoRR, 2021)

Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation. - Nishanjan Ravin; Sourajit Saha; Alan Schweitzer; Ameena Elahi; Farouk Dako; Daniel J. Mollura; David Chapman 001 (CoRR, 2021)

Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs. - Kushal Mehta; Arshita Jain; Jayalakshmi Mangalagiri; Sumeet Menon; Phuong Nguyen; David R. Chapman 001 (J. Digit. Imaging, 2021)

Using Moffat Profiles to Register Astronomical Images. - Mason Schuckman; Roy Prouty; David Chapman 001; Don Engel (ECCV Workshops (1), 2022)

Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation. - Nishanjan Ravin; Sourajit Saha; Alan Schweitzer; Ameena Elahi; Farouk Dako; Daniel J. Mollura; David Chapman 001 (IEEE Access, 2022)

Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE). - Sumeet Menon; David Chapman 001 (CoRR, 2022)

RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract). - Sourajit Saha; Shaswati Saha; Md. Osman Gani; Tim Oates 001; David Chapman 001 (AAAI, 2023)

RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget. - Sourajit Saha; Shaswati Saha; Md. Osman Gani; Tim Oates 001; David Chapman 001 (CoRR, 2023)

CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images. - Sumeet Menon; Jayalakshmi Mangalagiri; Joshua Galita; Michael Morris; Babak Saboury; Yaacov Yesha; Yelena Yesha; Phuong Nguyen; Aryya Gangopadhyay; David Chapman 001 (J. Digit. Imaging, 2023)

A Progressive Meta-Algorithm for Large and Seamless Super Resolution Images. - Jayalakshmi Mangalagiri; Aryya Gangopadhyay; David Chapman 001 (IEEE Big Data, 2024)

A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning. - Michael Majurski; Sumeet Menon; Parniyan Farvardin; David Chapman 001 (CVPR Workshops, 2024)