Dr. Sangtae Ahn Profile

Dr. Sangtae Ahn

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Publications (7)

Proceedings Article | 29 March 2024 Presentation + Paper

A hybrid CNN-Swin Transformer network as deep learning model observer to predict human observer performance in 2AFC trial

Muhan Shao, Jhimli Mitra, Darrin Byrd, Craig Abbey, Fatemeh Behnia, Jean Lee, Amir Iravani, Murat Sadic, Delphine Chen, Paul Kinahan, Sangtae Ahn

Proceedings Volume 12929, 129290B (2024) https://doi.org/10.1117/12.3005656

KEYWORDS: Transformers, Deep learning, Cross validation, Positron emission tomography, Convolutional neural networks, Image quality, Cancer detection

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Proceedings Article | 15 February 2021 Presentation + Paper

Correcting motion artifacts in MRI scans using a deep neural network with automatic motion timing detection

Michael Rotman, Rafi Brada, Israel Beniaminy, Sangtae Ahn, Christopher Hardy, Lior Wolf

Proceedings Volume 11595, 1159514 (2021) https://doi.org/10.1117/12.2580869

KEYWORDS: Neural networks, Magnetic resonance imaging, Motion detection, Receivers, Compressed sensing

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Proceedings Article | 16 March 2020 Presentation + Paper

Deep learning-based model observers that replicate human observers for PET imaging

Fenglei Fan, Sangtae Ahn, Bruno De Man, Kristen Wangerin, Scott Wollenweber, Craig Abbey, Paul Kinahan

Proceedings Volume 11316, 113160E (2020) https://doi.org/10.1117/12.2547505

KEYWORDS: Positron emission tomography, Neural networks, Convolutional neural networks, Reconstruction algorithms, Expectation maximization algorithms, Scanners, Data modeling, Image quality, Performance modeling, Image restoration

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SPIE Journal Paper | 22 November 2016

Evaluation of lesion detectability in positron emission tomography when using a convergent penalized likelihood image reconstruction method

Kristen Wangerin, Sangtae Ahn, Scott Wollenweber, Steven Ross, Paul Kinahan, Ravindra Manjeshwar

JMI, Vol. 4, Issue 01, 011002, (November 2016) https://doi.org/10.1117/12.10.1117/1.JMI.4.1.011002

KEYWORDS: Liver, Signal to noise ratio, Lung, Expectation maximization algorithms, Reconstruction algorithms, Positron emission tomography, Image restoration, Performance modeling, Data modeling, Infrared imaging

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Proceedings Article | 17 March 2015 Paper

Improving lesion detectability in PET imaging with a penalized likelihood reconstruction algorithm

Kristen Wangerin, Sangtae Ahn, Steven Ross, Paul Kinahan, Ravindra Manjeshwar

Proceedings Volume 9416, 94160W (2015) https://doi.org/10.1117/12.2082301

KEYWORDS: Liver, Lung, Expectation maximization algorithms, Reconstruction algorithms, Positron emission tomography, Image quality, Image restoration, Visualization, Medical imaging, Image visualization

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Proceedings Article | 12 February 2009 Paper

A high sensitivity multi-spectral three-dimensional fluorescence optical tomography system for small animal imaging

Changqing Li, Gregory Mitchell, Joyita Dutta, Sangtae Ahn, Richard Leahy, Simon Cherry

Proceedings Volume 7174, 717415 (2009) https://doi.org/10.1117/12.809705

KEYWORDS: Mirrors, Luminescence, Imaging systems, 3D image processing, Optical tomography, 3D image reconstruction, Optical filters, 3D metrology, Linear filtering, Electron multiplying charge coupled devices

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Proceedings Article | 18 March 2008 Paper

Computationally efficient perturbative forward modeling for 3D multispectral bioluminescence and fluorescence tomography

Joyita Dutta, Sangtae Ahn, Changqing Li, Abhijit Chaudhari, Simon Cherry, Richard Leahy

Proceedings Volume 6913, 69130C (2008) https://doi.org/10.1117/12.770755

KEYWORDS: Animal model studies, Tissues, 3D modeling, Finite element methods, Diffusion, Sensors, Bioluminescence, Fluorescence tomography, Optical properties, Data modeling

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Showing 5 of 7 publications

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