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
- Stephen Tucker, Jay Dubb, Sreekanth Kura, Alexander von Lühmann, Robert Franke, Jörn M. Horschig, Samuel Powell, Robert Oostenveld, Michael Lührs, Édouard Delaire, Zahra M. Aghajan, Hanseok Yun, Meryem A. Yücel, Qianqian Fang, Theodore J. Huppert, Blaise deB. Frederick, Luca Pollonini, David A. Boas, Robert Luke, "Introduction to the shared near infrared spectroscopy format," Neurophoton. 10(1) 013507 (9 December 2022)
- Fernando Ivich, Josh Pace, Amber L. Williams, Malcolm Shumel, Qianqian Fang, Mark Niedre, "Signal and measurement considerations for human translation of diffuse in vivo flow cytometry," J. Biomed. Opt. 27(6) 067001 (20 June 2022) https://doi.org/10.1117/1.JBO.27.6.067001
- Ailis Muldoon, Aiza Kabeer, Jayne Cormier, Mansi A. Saksena, Qianqian Fang, Stefan A. Carp, and Bin Deng, "Method to improve the localization accuracy and contrast recovery of lesions in separately acquired X-ray and diffuse optical tomographic breast imaging," Biomed. Opt. Express 13, 5295-5310 (2022)
- Hasan Ayaz, et al, "Optical imaging and spectroscopy for the study of the human brain: status report," Neurophoton. 9(S2) S24001 (30 August 2022) https://doi.org/10.1117/1.NPh.9.S2.S24001
- Matin Raayai Ardakani, Leiming Yu, David R. Kaeli, Qianqian Fang, "Framework for Denoising Monte Carlo Photon Transport Simulations Using Deep Learning," J Biomed Opt. 2022 May;27(8):083019. doi: 10.1117/1.JBO.27.8.083019
- Shijie Yan, Steven L. Jacques, Jessica C. Ramella-Roman, Qianqian Fang, "Graphics processing unit-accelerated Monte Carlo simulation of polarized light in complex three-dimensional media," J. of Biomedical Optics, 27(8), 083015 (2022)
- Yuxuang Zhang, Qianqian Fang, "BlenderPhotonics – an integrated open-source software environment for three-dimensional meshing and photon simulations in complex tissues," J. of Biomedical Optics, 27(8), 083014 (2022)
- Morris Vanegas, Miguel Mireles, Qianqian Fang*, "MOCA: a systematic toolbox for designing and assessing modular functional near-infrared brain imaging probes," Neurophotonics 9(1) 017801 (8 February 2022)
- Qianqian Fang*, Shijie Yan, "MCX Cloud—a modern, scalable, high-performance and in-browser Monte Carlo simulation platform with cloud computing," J. Biomed. Opt. 27(8) 083008 (5 January 2022)
- Dumont, AP, Fang, Q, Patil, CA. "A computationally efficient Monte-Carlo model for biomedical Raman spectroscopy," J. Biophotonics. 2021; 14:e202000377
- Yaoshen Yuan, Shijie Yan, and Qianqian Fang*, "Light transport modeling in highly complex tissues using the implicit mesh-based Monte Carlo algorithm," Biomed. Optics Express, 12(1), 147-161, (2021)
- Shijie Yan and Qianqian Fang* (2020), "Hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues," Biomed. Opt. Express, 11(11) pp. 6262-6270.
- Shijie Yan, Ruoyang Yao, Xavier Intes, and Qianqian Fang*, (2020) "Accelerating Monte Carlo modeling of structured-light-based diffuse optical imaging via 'photon sharing'," Opt. Lett. 45, 2842-2845
- Yaoshen Yuan, Paolo Cassano, Matthew Pias, Qianqian Fang*, (2020) "Transcranial photobiomodulation with near-infrared light from childhood to elderliness: simulation of dosimetry,", Neurophotonics, 7(1), 015009, URL: https://doi.org/10.1117/1.NPh.7.1.015009
- Anh Phong Tran† , Shijie Yan† , Qianqian Fang*, (2020) "Improving model-based fNIRS analysis using mesh-based anatomical and light-transport models," Neurophotonics, 7(1), 015008, URL: https://doi.org/10.1117/1.NPh.7.1.015008
- Qianqian Fang* and Shijie Yan, “Graphics processing unit-accelerated mesh-based Monte Carlo photon transport simulations,” J. of Biomedical Optics, 24(11), 115002 (2019).
- Shijie Yan, Anh Phong Tran, Qianqian Fang*, “A dual-grid mesh-based Monte Carlo algorithm for efficient photon transport simulations in complex 3-D media,” J. of Biomedical Optics, 24(2), 020503 (2019).
- Cassano P†, Tran AP†, Katnani H, Bleier BS, Hamblin MR, Yuan Y, Fang Q*, (2019) “Selective photobiomodulation for emotion regulation: model-based dosimetry study,” Neurophotonics 6(1) 015004, PMCID: PMC6366475
- Yaoshen Yuan, Leiming Yu, Zafer Doğan, Qianqian Fang*, "Graphics processing units-accelerated adaptive nonlocal means filter for denoising three-dimensional Monte Carlo photon transport simulations," J. of Biomedical Optics, 23(12), 121618 (2018).
- Andreas Horn, Ningfei Li, Till A Dembek, Ari Kappel, Chadwick Boulay, Siobhan Ewert, Anna Tietze, Andreas Husch, Thushara Perera, Wolf-Julian Neumann, Marco Reisert, Hang Si, Robert Oostenveld, Christopher Rorden, Fang-Cheng Yeh, Qianqian Fang, Todd M Herrington, Johannes Vorwerk, Andrea A Kuehn, "Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging", Neuroimage. 2018 Sep 1;184:293-316 doi: https://doi.org/10.1101/322008
- Ruoyang Yao, Xavier Intes, and Qianqian Fang, "Direct approach to compute Jacobians for diffuse optical tomography using perturbation Monte Carlo-based photon “replay”," Biomed. Opt. Express 9, 4588-4603 (2018)
- Leiming Yu, Fanny Nina-Paravecino, David Kaeli, and Qianqian Fang*, "Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms," J. Biomed. Optics Letters, 23(1) 010504 2018.
- Bin Deng, Mats Lundqvist, Qianqian Fang, Stefan Carp, "Impact of errors in experimental parameters on reconstructed breast images using diffuse optical tomography," Biomed Optics Express, 9(3):1130-1150 2018
- Adina E Draghici,Diane Potart,Joseph L Hollmann,Vivian Pera,Qianqian Fang,Charles A DiMarzio,J Andrew Taylor,Mark J Niedre,Sandra J Shefelbine, "Near infrared spectroscopy for measuring changes in bone hemoglobin content after exercise in individuals with spinal cord injury," J Orthop Res. May 2017 doi: 10.1002/jor.23622.
- Zimmermann B, Deng B, Singh B, Martino M, Selb J, Fang Q, Sajjadi AY, Cormier J, Moore RH, Kopans DB, Boas DA, Saksena MA, Carp SA. “Multimodal breast cancer imaging using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis,” Journal of Biomedical Optics 22 (4), 046008-046008, 2017
- A. Horn, M. Reich, J. Vorwerk, N. Li, G. Wenzel, Q. Fang, T. Schmitz-Hübsch, R. Nickl, A. Kupsch, J. Volkmann, A.A. Kühn, M.D. Fox, “Connectivity predicts deep brain stimulation outcome in Parkinson's disease,” Ann. Neurol. (2017), 10.1002/ana.24974
- Sajjadi A, Isakoff SJ, Deng B, Singh B, Wanyo CM, Fang Q, Specht MC, Schapira L, Moy Beverly, Bardia A, Boas DA, Carp S, “Normalization of compression-induced hemodynamics in patients responding to neoadjuvant chemotherapy monitored by dynamic tomographic optical breast imaging (DTOBI)”, Biomed Optics Express, 8(2), pp. 555-569, 2017
- Verleker AP, Fang Q, Shaffer M, Clare S. Choi, MR, Stantz KM, “Optical dosimetry probes to validate Monte Carlo and Empirical-method based NIR dose planning in the brain”, Appl. Optics, 2016, Vol. 56, Issue 4, pp. 1131-1131 (2017).
- Zimmermann B, Fang Q, Boas D, Carp S*, (2016) “Frequency domain near-infrared multiwavelength imager design using high-speed, direct analog-to-digital conversion,” J. Biomed. Opt. 21(1), 016010 (Jan 26, 2016)
- Yao R, Intes X, Fang Q* (2016), "Generalized mesh-based Monte Carlo for wide-field illumination and detection via mesh retessellation," Biomed. Optics Express, 7(1), 171-184
- Deng B, Fradkin M, Rouet JM, Moore RH, Kopans DB, Boas DA, Lundqvist M, and Fang Q, "Characterizing breast lesions through robust multi-modal data fusion using independent diffuse optical and x-ray breast imaging," Journal of Biomed. Optics Letters, 20(8), 080502, 2015
- Deng B, Brooks DH, Boas DA, Lundqvist M, and Fang Q, "Characterization of structural-prior guided optical tomography using realistic breast models derived from dual-energy x-ray mammography," Biomed. Opt. Express 6(7), 2366-2379, 2015
- Gagnon L, Sakadžić S, Lesage F, Musacchia JJ, Lefebvre J, Fang Q, et al., “Quantifying the microvascular origin of BOLD-fMRI from first principles with two-photon microscopy and an oxygen-sensitive nanoprobe,” J Neurosci.35(8):3663-75, 2015
- Selb J, Ogden TM, Dubb J, Fang Q, and Boas DA, “Comparison of a layered slab and an atlas head model for Monte Carlo fitting of time-domain NIRS data of the adult head,” Journal of Biomedical Optics, 19(1), pp. 16010, 2014
- Carp SA, Sajjadi1 AY, Wanyo CM, Fang Q, Specht M, Schapira L, Moy B, Bardia A, Boas DA, Isakoff SJ, “Hemodynamic signature of breast cancer under fractional mammographic compression using a dynamic diffuse optical tomography system,” Biomed. Opt. Express, 4(12) 2911-2924, 2013
- Fang Q and Kaeli D, "Accelerating mesh-based Monte Carlo method on modern CPU architectures," Biomed. Opt. Express, 3(12), 3223-3230, 2012
- Chen J, Fang Q, Intes X, "Mesh-based Monte Carlo method in time-domain widefield fluorescence molecular tomography," Journal of Biomedical Optics, 17(10), 106009 2012
- Cooper RJ, Caffini M, Dubb J, Fang Q, Custo A, Tsuzuki D, Fischl B, Wells W 3rd, Dan I, Boas DA, "Validating atlas-guided DOT: A comparison of diffuse optical tomography informed by atlas and subject-specific anatomies," NeuroImage. 62(3), 1999-2006, 2012
- Perdue KL, Fang Q, Diamond, SG, “Quantitative assessment of diffuse optical tomography sensitivity to the cerebral cortex using a whole-head probe”, Phys. Med. Biol. 57, 2857-2872, 2012.
- Baraghis E, Devor A, Fang Q, Srinivasan VJ, Wu W, Boas D and Sakadžić S, "Two-photon microscopy of cortical NADH fluorescence intensity changes: correcting contamination from the hemodynamic response," J Biomed Opt 16, 106003 2011.
- Fang Q, “Comment on ‘A study on tetrahedron-based inhomogeneous Monte-Carlo optical simulation’,” Biomed. Opt. Express, vol. 2, issue 5, pp. 1258-1264, 2011.
- Fang Q, Selb J, Carp SA, Kopans DB, Moore RH, Brooks DH, Miller EL, Boas DA, “Combined optical and tomosynthesis breast imaging,” Radiology, (cover article) vol. 258, No. 1, pp. 89-97, 2011.
- Fang Q, “Mesh-based Monte Carlo method using fast ray-tracing in Plücker coordinates,” Biomedical Optics Express, vol. 1, issue 1, pp. 165-175, 2010.
- Fang Q, Moore RH, Kopans DB, Boas DA, “Compositional-prior-guided image reconstruction algorithm for multi-modality imaging,” Biomedical Optics Express, vol. 1, issue 1, pp. 223-235, 2010.
- Fang Q, Meaney PM, Paulsen KD, “Viable three-dimensional microwave imaging, theory and experiments,” IEEE Trans. on Antennas and Propagation, vol. 58, No. 2, pp. 449– 458, 2010.
- Fang Q and Boas D, “Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units,” Optics Express, featured article, vol. 17, issue 22, pp. 20178-20190, 2009.
- Zhu G, Popovic M, Fang Q, “Microwave-induced thermoacoustics: assisting microwave tomography,” IEEE Trans. on Magnetics, vol. 45, issue 3, pp. 1654-1657, 2009.
- Fang Q, Carp SA, Selb J, Boverman G, Zhang Q, Kopans DB, Moore RH, Brooks DH, Miller EL, Boas DA, “Combined optical Imaging and mammography of the healthy breast: optical contrast derives from breast structure and compression,” IEEE Trans. Medical Imaging, vol. 28, issue 1, pp. 30 – 42, Jan. 2009.
- Fang Q, Sakadžić S, Ruvinskaya L, Devor A, Dale AM, Boas DA,"Oxygen advection and diffusion in a three dimensional vascular anatomical network," Optical Express, featured article, vol. 16, Issue 22, pp. 17530-17541, 2008.
- Carp SA, Selb J, Fang Q. Moore R, Kopans DB, Rafferty E, Boas DA, “Dynamic functional and mechanical response of breast tissue to compression,” Optical Express, vol. 16, Issue 20, pp. 16064-16078, 2008.
- Boverman G, Miller EL,Brooks DH, Fang Q, Boas DA, "Estimation and Statistical Bounds for Three-Dimensional Polar Shapes in Diffuse Optical Tomography," IEEE Transactions on Medical Imaging, vol. 27, issue 6, pp.752 – 765, Jun 2008.
- Boverman G, Fang Q, Carp SA, Miller EL, Brooks DH, Selb J, Moore RH, Kopans DB, Boas DA, "Spatio-Temporal Imaging of the Hemoglobin in the Compressed Breast With Diffuse Optical Tomography," Phys. Med. Biol. 52 3619-3641, 2007.
- Meaney PM, Fanning MW, Raynolds T, Fox CJ, Fang Q, Kogel CA, Poplack SP, Paulsen KD, "Initial Clinical Experience with Microwave Breast Imaging in Women with Normal Mammography," Acad Radiol., vol. 14, pp. 207-218, 2007.
- Meaney PM, Fang Q, Rubaek T, Paulsen KD, “Log transformation benefits parameter estimation in microwave tomographic imaging,” Medical Physics, 34 (6):2014-23, Jun 2007
- Carp SA, Kauffman T, Fang Q, Rafferty E, Moore R, Kopans D, Boas D, “Compression-induced changes in the physiological state of the breast as observed through frequency domain photon migration measurements,” Journal of Biomedical Optics, vol. 11, issue 6, Nov./Dec. 2006.
- Fang Q, Meaney PM, Paulsen KD, “The multi-dimensional phase unwrapping integral and applications to microwave tomographical image reconstruction,” IEEE Transaction on Image Processing, vol 15, No. 11, pp. 3311-3324, Nov. 2006.
- Fang Q, Meaney PM, Paulsen KD, “Singular value analysis of the Jacobian matrix in microwave image reconstruction,” IEEE Transactions on Antenna and Propagation, vol. 54, No. 8, pp.2371-2380, Aug. 2006.
- Fang Q, Meaney PM, Paulsen KD, “Microwave image reconstruction of tissue property dispersion characteristics utilizing multiple frequency information”, IEEE Transactions on Microwave Theory and Techniques, vol. 52, No. 8, pp. 1866-1875, Aug. 2004.
- Fang Q, Meaney PM, Geimer SD, Streltsov AV, Paulsen KD, “Microwave image reconstruction from 3D fields coupled to 2D parameter estimation,” IEEE Transactions on Medical Imaging, vol. 23, pp. 475-484, Apr. 2004.
- Meaney PM, Fanning MW, Paulsen KD, Li D, Pendergrass SA, Fang Q, Moodie KL, “Microwave thermal imaging: Initial in vivo experience with a single heating zone”, International Journal of Hyperthermia, vol. 19, pp. 617-641, 2003.
- Meaney PM, Paulsen KD, Fanning MW, Li D, Fang Q, “Image accuracy improvements in microwave tomographic thermometry: phantom experience”, International Journal of Hyperthermia, vol. 19, pp. 534-550, 2003.
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
- Qianqian Fang, "Computational methods for microwave medical imaging," Ph.D. dissertation, Dartmouth College, Hanover, NH, 2004, Thesis Committee: Profs. Paul M. Meaney, Keith D. Paulsen, William Lotko, Eric L. Miller
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.