David Chapman

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

ECCV Workshops (1)

Publications

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)