Dr. Xin Qi Profile

Dr. Xin Qi

Instructor at Rutgers, The State University of New Jersey

SPIE Involvement:

Author

SPIE Journal Paper | 15 November 2018 Open Access

Recurrence analysis on prostate cancer patients with Gleason score 7 using integrated histopathology whole-slide images and genomic data through deep neural networks

Jian Ren, Kubra Karagoz, Michael Gatza, Eric Singer, Evita Sadimin, David Foran, Xin Qi

JMI, Vol. 5, Issue 04, 047501, (November 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.4.047501

KEYWORDS: Prostate cancer, Genomics, Tumors, Data modeling, Picosecond phenomena, Neural networks, Cancer, Prostate, Computing systems, Feature extraction

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Proceedings Article | 6 March 2018 Paper

Differentiation among prostate cancer patients with Gleason score of 7 using histopathology whole-slide image and genomic data

Jian Ren, Kubra Karagoz, Michael Gatza, David Foran, Xin Qi

Proceedings Volume 10579, 1057904 (2018) https://doi.org/10.1117/12.2293193

KEYWORDS: Prostate cancer, Tissues, Cancer, Prostate, Convolutional neural networks, Genetics, Image analysis

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Proceedings Article | 24 February 2017 Paper

Computer aided analysis of prostate histopathology images to support a refined Gleason grading system

Jian Ren, Evita Sadimin, David Foran, Xin Qi

Proceedings Volume 10133, 101331V (2017) https://doi.org/10.1117/12.2253887

KEYWORDS: Convolutional neural networks, Computing systems, Image segmentation, Prostate, Neural networks, Prostate cancer, Computational imaging, Classification systems, Image classification, Feature extraction, Imaging systems, Computer programming

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Proceedings Article | 29 March 2013 Paper

Content-based white blood cell retrieval on bright-field pathology images

Xin Qi, Rebekah Gensure, David Foran, Lin Yang

Proceedings Volume 8676, 86760L (2013) https://doi.org/10.1117/12.2006439

KEYWORDS: Blood, Databases, Pathology, Image retrieval, Image segmentation, Content based image retrieval, Cancer, Medical imaging, RGB color model, Algorithm development

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Proceedings Article | 24 February 2012 Paper

Digitized tissue microarray classification using sparse reconstruction

Fuyong Xing, Baiyang Liu, Xin Qi, David Foran, Lin Yang

Proceedings Volume 8314, 83144W (2012) https://doi.org/10.1117/12.911900

KEYWORDS: Associative arrays, Cancer, Image classification, Tissues, Error analysis, Chemical species, Breast, Breast cancer, Image processing algorithms and systems, Reconstruction algorithms

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Proceedings Article | 9 March 2011 Paper

Comparative performance analysis of stained histopathology specimens using RGB and multispectral imaging

Xin Qi, Fuyong Xing, David Foran, Lin Yang

Proceedings Volume 7963, 79633B (2011) https://doi.org/10.1117/12.878325

KEYWORDS: RGB color model, Multispectral imaging, Image filtering, Breast, Tissues, Library classification systems, Image classification, Gaussian filters, Statistical analysis, Electronic filtering

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Proceedings Article | 24 February 2010 Paper

A comparative performance study characterizing breast tissue microarrays using standard RGB and multispectral imaging

Xin Qi, William Cukierski, David Foran

Proceedings Volume 7557, 75570Z (2010) https://doi.org/10.1117/12.842067

KEYWORDS: RGB color model, Multispectral imaging, Tissues, Breast, Binary data, Image classification, Image segmentation, Feature selection, Feature extraction, Pathology

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SPIE Journal Paper | 1 September 2008 Open Access

Automated quantification of colonic crypt morphology using integrated microscopy and optical coherence tomography

Xin Qi, Yinsheng Pan, Zhilin Hu, Wei Kang, Joseph Willis, Kayode Olowe, Michael Sivak, Andrew Rollins

JBO, Vol. 13, Issue 05, 054055, (September 2008) https://doi.org/10.1117/12.10.1117/1.2993323

KEYWORDS: Image segmentation, Optical coherence tomography, Tissues, Endoscopy, Photomicroscopy, 3D image processing, Natural surfaces, Visualization, In vivo imaging, Colorectal cancer

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Proceedings Article | 12 February 2007 Paper

Investigation of computer-aided colonic crypt pattern analysis

Xin Qi, Yinsheng Pan, Michael Sivak, Kayode Olowe, Andrew Rollins

Proceedings Volume 6432, 64320I (2007) https://doi.org/10.1117/12.702008

KEYWORDS: Image segmentation, Tissues, Endoscopy, Cancer, Colorectal cancer, In vivo imaging, Colon, In vitro testing, Microscopes, Image analysis

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SPIE Journal Paper | 1 July 2006 Open Access

Computer-aided diagnosis of dysplasia in Barrett's esophagus using endoscopic optical coherence tomography

Xin Qi, Michael Sivak, Gerard Isenberg, Joseph Willis, Andrew Rollins

JBO, Vol. 11, Issue 04, 044010, (July 2006) https://doi.org/10.1117/12.10.1117/1.2337314

KEYWORDS: Biopsy, Computer aided diagnosis and therapy, Esophagus, Endoscopy, Image segmentation, Tissues, Optical coherence tomography, Computer aided design, Surveillance, Diagnostics

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Proceedings Article | 20 February 2006 Paper

Computer-aided diagnosis of dysplasia in Barrett’s esophagus using multiple endoscopic OCT images

Xin Qi, Douglas Rowland, Michael Sivak, Andrew Rollins

Proceedings Volume 6079, 60790I (2006) https://doi.org/10.1117/12.648446

KEYWORDS: Biopsy, Fractal analysis, Image segmentation, Image classification, Computer aided diagnosis and therapy, Endoscopy, Esophagus, Optical coherence tomography, Computer aided design, Biological research

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Proceedings Article | 1 July 2004 Paper

Computer-aided diagnosis of dysplasia in Barrett’s esophagus using endoscopic optical coherence tomography

Xin Qi, Michael Sivak, David Wilson, Andrew Rollins

Proceedings Volume 5316, (2004) https://doi.org/10.1117/12.531390

KEYWORDS: Esophagus, Computer aided diagnosis and therapy, Biopsy, Image segmentation, Endoscopy, Principal component analysis, Tissues, Optical coherence tomography, Feature extraction, Cancer

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Showing 5 of 12 publications

Conference Committee Involvement (8)

Image Processing

20 February 2023 | San Diego, California, United States

Image Processing

20 February 2022 | San Diego, California, United States

Image Processing

15 February 2021 | Online Only, California, United States

Image Processing

17 February 2020 | Houston, Texas, United States

Image Processing

19 February 2019 | San Diego, California, United States

Showing 5 of 8 Conference Committees

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