Showing revision 2.5

COTI Lab Publications

1.1. Journal Articles
1.2. Computer-science conference papers
1.3. Conference papers
1.4. Thesis
1.5. Magazine article
1.6. Book chapters

1.1. Journal Articles

2022

2021

2020

2019

2018

2017

2016

2015

before 2015

1.2. Computer-science conference papers

  • Yu L, Gong X, Sun Y, Fang Q, Rubin N and Kaeli D, "Moka: Model-based Concurrent Kernel Analysis", IEEE International Symposium on Workload Characterization, 2017.
  • Paravecino F, Yu L, Kaeli D, Fang Q*, “Portable performance for Monte Carlo simulations of photon migration in 3D turbid media for single and multiple GPUs”, GTC2016, Paper#S6635, 2016, CA

1.3. Conference papers

  • Qianqian Fang and Edward Xu, “NeuroJSON and future of fNIRS data sharing, integration, and automation,” Meeting for the Society for fNIRS, October 18, 2021, Boston, MA
  • Yaoshen Yuan , Yuxuan Zhang , and Qianqian Fang, “Simulation Study of fNIRS Wavelength in the Presence of Human Hairs Using Implicit Mesh-Based Monte Carlo,” Meeting for the Society for fNIRS, October 18, 2021, Boston, MA
  • Morris Vanegas , Miguel Mireles Nuñez , Meryem Yücel and Qianqian Fang, “Initial In-Vivo Validation of a Flexible-Circuit-Based Wearable and Modular fNIRS System,” Meeting for the Society for fNIRS, October 18, 2021, Boston, MA
  • Qianqian Fang and Edward Xu, “JNIfTI - a portable, human-readable and extensible format for MRI/fMRI data sharing and exchange,” Human Brain Mapping, Abstract# 2496
  • Rahul Ragunathan, Miguel Mireles, Morris Vanegas, Edward Xu and
  • Qianqian Fang , “Direct 3-D Printing of Heterogeneous Optical Phantoms Using On-the-Fly Multi-Color Filament Mixing”, Optica Biophotonics Congress bi-annual meeting, Miami, FL, 2022
  • Edward Xu, Miguel Mirele , Morris Vanegas, Ailis Muldoon, Rahul Ragunathan , Stefan Carp and Qianqian Fang, “Pilot clinical validation of a multi-modal, standalone optical mammography co-imager platform,” Optica Biophotonics Congress bi-annual meeting, Miami, FL, 2022
  • Edward Xu , Miguel Mireles , Stefan Carp and Qianqian Fang, “Combined intensity- and spatially-modulated widefield diffuse optical tomography,” Optica Biophotonics Congress bi-annual meeting, Miami, FL, 2022
  • Miguel Mireles, Edward Xu, Rahul Ragunathan, and Qianqian Fang, “Target-adaptive, compressive and ultra-high-density wide-field diffuse optical tomography,” Optica Biophotonics Congress bi-annual meeting, Miami, FL, 2022
  • Morris Vanegas, Qianqian Fang, “A wearable, modular, bendable, and 3-D aware functional near-infrared spectroscopy system,” 7th Annual BRAIN Initiative Investigators Meeting, June 15, 2021
  • Qianqian Fang Miguel Mireles Nunez; Edward Xu, “Adaptively Compressive Diffuse Optical Tomography using Target-specific Principle Components,” SPIE Photonics West, San Francisco, 2022
  • Morris D. Vanegas, Artem Dementyev,Miguel Mireles, Stefan Carp, Qianqian Fang, “A Modular, Fiberless, 3-D Aware, Flexible-circuit-based Wearable fNIRS System,” OSA Biophotonics Congress, Paper#BM3C.3
  • Yaoshen Yuan, Shijie Yan, Qianqian Fang, “Implicit mesh-based Monte Carlo algorithm for light transport in highly-complex tissues,” OSA Biophotonics Congress, Paper#JTh2A.19
  • Morris D. Vanegas, Qianqian Fang, “A General Approach to Design, Optimize, and Analyze Modular Functional Near-infrared Brain Imaging Probes,” OSA Biophotonics Congress, Paper#BM2C.6
  • Yaoshen Yuan, Paolo Cassano, Matthew Pias, Qianqian Fang, “A Simulation Study for Transcranial Photobiomodulation Dosimetry Across Lifespan,” OSA Biophotonics Congress, Paper#TW1B.7
  • Shijie Yan, and Qianqian Fang, "GPU-accelerated Monte Carlo photon simulations in complex tissues using hybrid mesh and segmented images," SPIE Photonics West 2021, Mar 6, 2021
  • Fenghua Tian, Jenson Varghese, et al., “Effects of wavelength on transcranial laser stimulation: a Monte Carlo simulation study based on standard brain model,” (SPIE Photonics West 2020, Presentation), Proc. SPIE. 11221
  • Shijie Yan; Anh Phong Tran; Qianqian Fang, “Improving model-based functional near-infrared spectroscopy analysis using mesh-based anatomical and light-transport models,” SPIE Photonics West 2020
  • Yaoshen Yuan, Paolo Cassano, Matthew Pias, Qianqian Fang, “Transcranial photobiomodulation with near-infrared light from childhood to elderliness: simulation of dosimetry,” SPIE Photonics West 2020
  • Vanegas M, Sun X, Fang Q, "Towards a fiberless, modular, and wearable full-head fNIRS system with built-in 3D self-calibrating orientation sensor network," fNIRS Conference 2018, Tokyo, Japan
  • Yuan Y, Yu L, and Fang Q*, “Denoising in Monte Carlo Photon Transport Simulation Using GPU-accelerated Adaptive Non-Local Mean Filter,” OSA BIOMED 2018, Paper#JTh3A.41, FL
  • Yu L, Nina-Paravecino F, Kaeli D, Fang Q*, “Fast Monte Carlo Photon Transport Simulations for Heterogeneous Computing Systems,” OSA BIOMED 2018, Paper#2912790, FL
  • Vanegas M, Zimmerman B, Sahin S, Carp S, Fang Q*, “A Mobile Phone Based Reflectance Pulse Oximeter,” OSA BIOMED 2018, Paper#JTu3A.64, FL
  • Vanegas M, Carp S, Fang Q*, “Mobile Phone Camera Based Near-Infrared Spectroscopy Measurements,” OSA BIOMED 2018, Paper#JTu3A.64, FL
  • Yan S, Tran AP, Fang Q*, “A Dual-Mesh Monte Carlo Algorithm Using a Coarse Tetrahedral Mesh and Voxel Output”, OSA BIOMED 2018, Paper# JTh3A.17, FL
  • Tran AP, Fang Q*, “Generating High Quality Tetrahedral Meshes of the Human Head and Applications in fNIRS,” OSA BIOMED 2018, Paper#JTu3A.52, FL
  • Ruoyang Y, Intes X, Fang Q*, “Efficient Jacobian Construction for Hyperspectral Wide-field Diffuse Optical Tomography via Replay Monte Carlo,” OSA BIOMED 2018, Paper#JTu3A.30, FL
  • Xu E, Fang Q*, “Optical Tomography Reconstruction to Recover Small Oriented Inclusions from Optically-Thick Diffusive Media”, OSA BIOMED 2018, Paper#JTu3A.67, FL
  • Sahin S†, Sun X†, Vanegas M, Tran AP, Fang Q*, “Developing an Anatomically Accurate Multi-layered Optical Brain Phantom for fNIRS Studies”, OSA BIOMED 2018, Paper#JW3A.70, FL
  • Deng B, Fang Q, Boas DA, Carp S*, “Impact of Experimental Parameter Errors on Reconstructed Breast Images Using Diffuse Optical Tomography,” OSA BIOMED 2016, Paper#2455560, FL
  • Inacio D, Deng B, Kopans D, Boas D, Fang Q*, (2016) “Automatically finding tumors using structural-prior guided optical tomography,” OSA BIOMED 2016, Paper#2468528, FL
  • Yao R, Intes X, Fang Q*, "Enabling wide-field illumination and detection in mesh-based Monte Carlo simulations ," OSA BIOMED 2016, Paper#2459052, FL
  • Deng B, Brooks, DH, Boas DA, Lundqvist M, Fang Q* “Characterization of Breast Lesions Using Structural Prior Guided Optical Tomography on the Realistic Breast Model – DigiBreast,” OSA BIOMED 2016, Paper#2458069, FL
  • Fang Q, “Quantitative diffuse optical tomography using a mobile phone camera and automatic 3D photo stitching,” OSA Biomedical Optics (BIOMED) conference, Apr. 2012.
  • Fang Q, Carp SA, Martino M, Moore RH, Kopans DB, and Boas DA, “Joint image reconstruction for breast tumor diagnosis using both structural and functional information,” OSA Biomedical Optics (BIOMED) conference, Apr. 2012.
  • Fang Q and Boas D, “GPU accelerated Monte Carlo simulation for 3D photon migration”, OSA Biomedical Optics (BIOMED) conference, Apr. 2010.
  • Fang Q, Carp SA, Moore RH, Kopans DB, Boas DA, “Imaging Benign and Malignant Breast Lesions with Combined Optical Imaging and Tomosynthesis,” OSA Biomedical Optics (BIOMED) conference (invited), Apr. 2010.
  • Fang Q and Boas D, “Tetrahedral mesh generation from volumetric binary and gray-scale images”, IEEE International Symposium on Biomedical Imaging (ISBI’09), 1142-1145, 2009.
  • Zhu G, Popovic M, Fang Q, “Microwave-Induced Thermoacoustics: Assisting Microwave Tomography,” 13th Biennial IEEE Conference on Electromagnetic Field Computation, OB2-1, Athens, May 2008
  • Fang Q, Carp SA, Selb J, Moore RH, Kopans DB, Miller EL, Brooks DH, Boas DA, "A multi-modality image reconstruction platform for diffuse optical tomography," OSA Biomedical Optics (BIOMED) conference, 2008.
  • Fang Q, Carp SA, Selb J, Moore RH, Kopans DB, Miller EL, Brooks DH, Boas DA, "Spectrally Constrained Optical Breast Imaging with Co-registered X-Ray Tomosynthesis," OSA Biomedical Optics (BIOMED) conference, 2008.
  • Fang Q, Meaney PM, Paulsen KD, “Phase unwrapping in the presence of scattering nulls and applications to microwave imaging,” Proceeding (425) Antennas, Radar, and Wave Propagation, Jul. 2004

1.4. Thesis

1.5. Magazine article

  • Fang Q, "Multi-modality breast imaging combining structure and function in breast cancer diagnosis", Diagnostic Imaging Europe, Vol. 27 No. 7, 13-16, 2011.

1.6. Book chapters

  • Miguel Mireles, Edward Xu, Yaoshen Yuan, Rahul Ragunathan, and Qianqian Fang, “Diffuse optical tomography,” Biomedical Optical Imaging, Eds Jun Xia and Regine Choe, doi: https://doi.org/10.1063/9780735423794_010
  • Nina-Paravecino F., Yu L, Fang Q, and Kaeli D, “High-performance Monte Carlo Simulations for Photon Migration and Applications in Optical Brain Functional Imaging”, Handbook on Smart Healthcare, Springer (in press)
  • Carp S, Fang Q, “Diffuse optical medical imaging,” in “Pathobiology of Human Disease (PHD),” Elsevier, 2013
  • Venugopal V, Fang Q and Intes X, “Chapter 2. Multimodal Diffuse Optical Imaging”, in "Biophotonics for medical applications", Woodhead Publishing, 2012
  • Fang Q, Carp S, Selb J, Boas D, “Chapter 9. Optical Imaging and X-ray Imaging”, Translational multimodality Optical Imaging, Azar FS, Intes X (Eds.), Artech House, Norwood, 2008
  • Meaney PM, Fang Q, “Chapter 7. Microwave imaging: A model-based approach”, Alternative Breast Imaging-Four Model-Based Approaches, Paulsen KD, Meaney PM, Gilman L(Eds.), Kluwer, 2004.
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