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David Chapman
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 14
Top Topics
Global Features
Medical Image Segmentation
Computerized Tomography
Cancer Detection
Top Venues
CoRR
IEEE BigData
IEEE Access
ECCV Workshops (1)
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Publications
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Michael Majurski
,
Sumeet Menon
,
Parniyan Farvardin
,
David Chapman
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning.
CoRR
(2024)
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) (2023)
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
(2023)
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)
Mason Schuckman
,
Roy Prouty
,
David Chapman
,
Don Engel
Using Moffat Profiles to Register Astronomical Images.
ECCV Workshops (1)
(2022)
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 (2022)
Sumeet Menon
,
David Chapman
Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE).
CoRR
(2022)
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 (2021)
Charu Sharma
,
Siddhant Raj Kapil
,
David Chapman
Person Re-Identification with a Locally Aware Transformer.
CoRR
(2021)
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)
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
(2021)
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)
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)
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)