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Prof. Jim Ji
at Texas A&M University
SPIE Involvement:
Author
Publications (5)
Proceedings Article | 7 March 2022 Presentation
Machine-learning driven automated discrimination of precancerous and cancerous from benign oral lesions using multispectral autofluorescence imaging endoscopy
Proceedings Volume PC11935, PC1193507 (2022) https://doi.org/10.1117/12.2608843
KEYWORDS: Endoscopy, Multispectral imaging, Auto-fluorescence imaging, Cancer, Biopsy, Tumor growth modeling, Tissues, Standards development, Optical imaging, In vivo imaging
Proceedings Article | 7 March 2022 Presentation
Computer-aided detection system for automated discrimination of precancerous and cancerous from healthy oral tissue based on multispectral autofluorescence lifetime imaging endoscopy
Proceedings Volume PC11935, PC1193506 (2022) https://doi.org/10.1117/12.2608818
KEYWORDS: Multispectral imaging, Endoscopy, Tissues, Imaging systems, Computer-aided diagnosis, Computing systems, Cancer, Tumor growth modeling, Solid modeling, CAD systems
Proceedings Article | 27 September 2011 Paper
Compressive sensing MRI with complex sparsification
Proceedings Volume 8138, 81381I (2011) https://doi.org/10.1117/12.892030
KEYWORDS: Transform theory, Magnetic resonance imaging, Discrete wavelet transforms, Data acquisition, Compressed sensing, Wavelet transforms, Reconstruction algorithms, Continuous wavelet transforms, Image compression, In vivo imaging
Proceedings Article | 13 May 2010 Paper
A support vector data description scheme for hyperspectral target detection using first-order Markov modeling
Wesam Sakla, Adel Sakla, Andrew Chan, Jim Ji
Proceedings Volume 7696, 76960X (2010) https://doi.org/10.1117/12.849934
KEYWORDS: Target detection, Signal to noise ratio, Data modeling, Hyperspectral target detection, Sensors, Detection and tracking algorithms, Automatic target recognition, Reflectivity, Hyperspectral imaging, Statistical modeling
Proceedings Article | 13 May 2010 Paper
A decision-level fusion scheme using the support vector data description for target detection in hyperspectral imagery
Wesam Sakla, Adel Sakla, Andrew Chan, Jim Ji
Proceedings Volume 7696, 76960Y (2010) https://doi.org/10.1117/12.849936
KEYWORDS: Target detection, Sensors, Hyperspectral target detection, Hyperspectral imaging, Detection and tracking algorithms, Signal to noise ratio, Image fusion, Automatic target recognition, Reflectivity, Data fusion
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