David Chapman

29 papers A* 1B 2C 2Misc 1Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
2024 — conf
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning.
CVPR Workshops
Michael Majurski, Sumeet Menon, Parniyan Farvardin, David Chapman
2024 J jnl
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning.
CoRR
Michael Majurski, Sumeet Menon, Parniyan Farvardin, David Chapman
2024 B conf
A Progressive Meta-Algorithm for Large and Seamless Super Resolution Images.
IEEE Big Data
Jayalakshmi Mangalagiri, Aryya Gangopadhyay, David Chapman
2023 J jnl
CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images.
J. Digit. Imaging
Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman
2023 A* conf
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract).
AAAI
Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman
2023 J jnl
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget.
CoRR
Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman
2022 J jnl
Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation.
IEEE Access
Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman
2022 J jnl
Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE).
CoRR
Sumeet Menon, David Chapman
2022 — conf
Using Moffat Profiles to Register Astronomical Images.
ECCV Workshops (1)
Mason Schuckman, Roy Prouty, David Chapman, Don Engel
2021 — conf
An Intelligent Parallel Distributed Streaming Framework for near Real-time Science Sensors and High-Resolution Medical Images.
ICPP Workshops
Samit Shivadekar, Jayalakshmi Mangalagiri, Phuong Nguyen, David Chapman, Milton Halem, Rahul Gite
2021 J jnl
CCS-GAN: COVID-19 CT-scan classification with very few positive training images.
CoRR
Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman
2021 J jnl
CT-Scan Denoising Using a Charbonnier Loss Generative Adversarial Network.
IEEE Access
Binit Gajera, Siddhant Raj Kapil, Dorsa Ziaei, Jayalakshmi Mangalagiri, Eliot Siegel, David Chapman
2021 — conf
Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs.
IEEE BigData
Jayalakshmi Mangalagiri, Jones Sam Sugumar, Sumeet Menon, David Chapman, Yaacov Yesha, Aryya Gangopadhyay, Yelena Yesha, Phuong Nguyen
2021 — conf
Hybrid Classification for Handwritten Character Recognition of a Subset of the Tamil Alphabet.
CIST
Aditya Viswanathan Kaliappan, David Chapman
2021 J jnl
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation.
CoRR
Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman
2021 J jnl
Person Re-Identification with a Locally Aware Transformer.
CoRR
Charu Sharma, Siddhant Raj Kapil, David Chapman
2021 J jnl
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network.
CoRR
Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha, Joshua Galita, Sumeet Menon, Yelena Yesha, Babak Saboury, Michael Morris, Phuong Nguyen
2020 — conf
Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data.
Computer-Aided Diagnosis
Phuong Nguyen, David Chapman, Sumeet Menon, Michael Morris, Yelena Yesha
2020 — conf
Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN.
IEEE BigData
Sumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris
2020 B conf
Segmentation of stem cell colonies in fluorescence microscopy images with transfer learning.
Image Processing
Dorsa Ziaei, David Chapman, Yaacov Yesha, Milton Halem
2013 — conf
A Data Intensive Statistical Aggregation Engine: A Case Study for Gridded Climate Records.
IPDPS Workshops
David Chapman, Tyler A. Simon, Phuong Nguyen, Milton Halem
2012 Misc conf
A Hybrid Scheduling Algorithm for Data Intensive Workloads in a MapReduce Environment.
UCC
Phuong Nguyen, Tyler A. Simon, Milton Halem, David Chapman, Quang Le
2012 C conf
A near fundamental decadal data record of airs infrared surface brightness temperatures.
IGARSS
Phuong Nguyen, David Chapman, Milton Halem, Jeff Avery
2012 C conf
Noise reduction in gridded airs brightness temperature grids using the MODIS Obscov algorithm.
IGARSS
David Chapman, Milton Halem, Phuong Nguyen, Jeff Avery
2012 — conf
Sub-cellular feature detection and automated extraction of collocalized actin and myosin regions.
IHI
Justin Martineau, Ronil Mokashi, David Chapman, Michael A. Grasso, Mary Brady, Yelena Yesha, Yaacov Yesha, Antonio Cardone, Alden Dima
2010 — ch.
Scientific Services on the Cloud.
Handbook of Cloud Computing
David Chapman, Karuna P. Joshi, Yelena Yesha, Milton Halem, Yaacov Yesha, Phuong Nguyen
2009 J jnl
Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies.
IEEE Trans. Geosci. Remote. Sens.
Milton Halem, Neal Most, Curt Tilmes, Kevin Stewart, Yelena Yesha, David Chapman, Phuong Nguyen
2008 — conf
A Semi-Decadal Multi-Sensor Gridded Data Record of Outgoing Longwave Radiation (OLR) from Aqua.
IGARSS (3)
Milton Halem, David Chapman, Phuong Nguyen
2008 — conf
Providing Gridded Atmospheric Radiance Products and Services from MODIS and AIRS Instruments on NASA's Aqua Satellite.
IGARSS (4)
Milton Halem, Curt Tilmes, Yelena Yesha, David Chapman, Phuong Nguyen