Publications

Publications in Refereed International Journals

2024

Li, M., Guo, X., Verma, A., Rudkouskaya, A., McKenna, A. M., Intes, X., ... & Barroso, M. (2024). Contrast-enhanced photon-counting micro-CT of tumor xenograft models. Physics in Medicine and Biology.

Yanik, E., Schwaitzberg, S., Yang, G., Intes, X., Norfleet, J., Hackett, M., & De, S. (2024). One-shot skill assessment in high-stakes domains with limited data via meta learning. Computers in Biology and Medicine, 108470.

Walia, P., Fu, Y., Norfleet, J., Schwaitzberg, S. D., Intes, X., De, S., ... & Dutta, A. (2023). Brain-behavior analysis of transcranial direct current stimulation effects on a complex surgical motor task. Frontiers in Neuroergonomics

2023

Manabe, T., Rahul, F. N. U., Fu, Y., Intes, X., Schwaitzberg, S. D., De, S., ... & Dutta, A. (2023). Distinguishing Laparoscopic Surgery Experts from Novices Using EEG Topographic Features. Brain Sciences, 13(12), 1706.

Shafiei, S. B., Shadpour, S., Intes, X., Rahul, R., Toussi, M. S., & Shafqat, A. (2023). Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learning. Surgical Endoscopy, 1-17.

Kamat, A., Eastmond, C., Gao, Y., Nemani, A., Yanik, E., Cavuoto, L., ... & Intes, X. (2023). Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND). Scientific Data, 10(1), 699.

Shafiei, S.B., Shadpour, S., Intes, X. et al. Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learning. Surg Endosc (2023). https://doi.org/10.1007/s00464-023-10409-y

Wang, L., Goldwag, J., Bouyea, M., Barra, J., Matteson, K., Maharjan, N., Eladdadi, A., Embrechts, M.J., Intes, X., Kruger, U. and Barroso, M., 2023. Spatial topology of organelle is a new breast cancer cell classifier. Iscience, 26(7).

Smith, J. T., Sinsuebphon, N., Rudkouskaya, A., Michalet, X., Intes, X., & Barroso, M. (2023). in vivo quantitative FRET small animal imaging: intensity versus lifetime-based FRET. Biophysical Reports.

Walia P, Fu Y, Schwaitzberg SD, et al. Portable neuroimaging differentiates novices from those with experience for the Fundamentals of Laparoscopic Surgery (FLS) suturing with intracorporeal knot tying task [published online ahead of print, 2022 Oct 31]. Surg Endosc. 2022;10.1007/s00464-022-09727-4

Luis Chavez, Shan Gao, Xavier Intes, "Characterization of fluorescence lifetime of organic fluorophores for molecular imaging in the shortwave infrared window," J. Biomed. Opt. 28(9) 094806 (10 April 2023)

Nizam, N. I., Ochoa, M., Smith, J. T., & Intes, X. (2023). Deep learning-based fusion of widefield diffuse optical tomography and micro-CT structural priors for accurate 3D reconstructions. Biomedical Optics Express, 14(3), 1041-1053.

E Yanik, X Intes and S De, “Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning,” Scientific Reports volume 13, Article number: 1038 (2023)

2022

Walia, P., Fu, Y., Norfleet, J. et al. Error-related brain state analysis using electroencephalography in conjunction with functional near-infrared spectroscopy during a complex surgical motor task. Brain Inf. 9, 29 (2022). https://doi.org/10.1186

L Tian, X Intes, W Yang, “Special Section Guest Editorial: Computational Approaches for Neuroimaging,” Neurophotonics 9(4), 041401 (2022)

Walia, P., Fu, Y., Schwaitzberg, S.D. et al. Portable neuroimaging differentiates novices from those with experience for the Fundamentals of Laparoscopic Surgery (FLS) suturing with intracorporeal knot tying task. Surg Endosc (2022). https://doi.org/10.1007/s00464-022-09727-4

Kamat, A., Makled, B., Norfleet, J. et al. Directed information flow during laparoscopic surgical skill acquisition dissociated skill level and medical simulation technology. npj Sci. Learn. 7, 19 (2022). https://doi.org/10.1038/s41539-022-00138-7

Ochoa, M., Smith, J. T., Gao, S., Intes, X., "Computational macroscopic lifetime imaging and concentration unmixing of autofluorescence" J. Biophotonics 2022, e202200133. https://doi.org/10.1002/jbio.202200133

Shan Gao, Mengzhou Li, Jason T. Smith, and Xavier Intes, "Design and characterization of a time-domain optical tomography platform for mesoscopic lifetime imaging," Biomed. Opt. Express 13, 4637-4651 (2022)

Condell Eastmond, Aseem Subedi, Suvranu De, and Xavier Intes "Deep learning in fNIRS: a review," Neurophotonics 9(4), 041411 (20 July 2022). https://doi.org/10.1117/1.NPh.9.4.041411

N Nizam, M Ochoa, JT Smith, S Gao and X Intes, "Monte Carlo-based data generation for efficient deep learning reconstruction of macroscopic diffuse optical tomography and topography applications", Journal of Biomedical Optics, 27(8) 083016 (2022), doi: 10.1117/1.JBO.27.8.083016

JT Smith, A Rudkouskaya, S Gao, JM Gupta, A Ulku, C Bruschini, E Charbon, S Weiss, M Barroso, X Intes and X Michalet, "In vitro and in vivo NIR Fluorescence Lifetime Imaging with a time-gated SPAD camera", Optica, 5(9) 532-544 (2022), doi: 10.1364/OPTICA.454790

Y Gao, H Chao, L Cavuoto, P Yan, U Kruger, JE Norfleet, BA Makled, S Schwaitzberg, S De, and X Intes “Deep learning-based motion artifact removal in functional near-infrared spectroscopy (fNIRS),” Neurophotonics, 9(4):041406, PMID: 35475257

N Nizam, M Ochoa, J Smith, X Intes, “3D k-space reflectance fluorescence tomography via Deep Learning” Optics Letters, 47 (6), 1533-1536, doi: 10.1364/OL.450935

JT Smith, M Ochoa, D Faulkner, G Haskins, X Intes, "Deep learning in macroscopic diffuse optical imaging" J. Biomed. Opt. 27(2), 020901 (2022), doi: 10.1117/1.JBO.27.2.020901

2021

Y Erim, X Intes, U Kruger, P Yan, B Van Voorst, B Makled, J Norfleet and S De, “Deep Neural Networks for the assessment of surgical skills: A systematic review,” Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 1–13 (2021) DOI: 10.1177/15485129211034586.

R Dmitriev, X Intes and M Barroso, “Luminescence lifetime-imaging provides a unique molecular window into three-dimensional biological tissues,” J Cell Sci 134 (9): 1–17 (2021). PMID: 33961054

A Nemani, A Kamat, Y Gao, M Yucel, D Gee, C Cooper, S Schwaitzberg, X Intes, A Dutta and S De, “Functional Brain Connectivity Related to Surgical Skill Dexterity in Physical and Virtual Simulation Environments,” Neurophotonics 8(1), 015008 (2021). PMID: 33681406

Y Gao, L Cavuoto, A Dutta, U Kruger, P Yan, A Nemani, J Norfleet, BA Makled, J Silvestri, S Schwaitzberg, X Intes, S De, “Decreasing the Surgical Errors by Neurostimulation of Primary Motor Cortex and the Associated Brain Activation via Neuroimaging,” Frontiers in Neuroscience 15:651192 (2021). PMID: 33828456

Y Gao, P Yan, U Kruger, S De and X Intes, “Functional brain imaging reliably predicts bimanual motor skill performance in a standardized surgical task,” IEEE TBE 68(7): 2058-2066 (2021). PMID: 32755850

F Yang, X Gong, D Faulkner, S Gao, R Yao, Y Zhang, & X Intes, “Accelerating vasculature imaging in tumor using mesoscopic fluorescence molecular tomography via a hybrid reconstruction strategy,” Biochemical and Biophysical Research Communications 562 (2021): 29-35. PMID: 34030042

L Tian, B Hunt, MAL. Bell, J Yi, JT. Smith, M Ochoa, X Intes and NJ. Durr, “Deep Learning in Biomedical Optics,” Lasers in Surgery and Medicine (2021). PMID: 34015146.

RI. Dmitriev, X Intes and M Barroso, “Luminescence lifetime imaging of three-dimensional biological objects,” Journal of Cell Science 134(9), (2021). PMID: 33961054

2020

A Rudkouskaya, JT. Smith, X Intes, and M Barroso, “Quantification of Trastuzumab-HER2 engagement in vitro and in vivo,” Molecules 14(25), 5976 (2020). PMID: 33348564

CL Roberge, DM Kingsley, DE Faulkner, CJ Sloat, L Wang, M Barroso, X Intes & DT Corr, ““Non-Destructive Tumor Aggregate Morphology and Viability Quantification at Cellular Resolution, During Development and in Response to Drug,” Acta Biomaterialia 117 (2020): 322-334.

E Aguenounon, JT Smith, X Intes, S Gioux, “Real-time, wide-field and high-quality single snapshot imaging of optical properties with profile correction using deep learning,” BOE 11(10), 5701-5716 (2020)

Y Gao, P Yan, U Kruger, S De and X Intes, “Functional brain imaging reliably predicts bimanual motor skill performance in a standardized surgical task,” IEEE TBE (online ahead of print)

A Rudkouskaya, N Sinsuebphon, M Ochoa, J Mazurkiewicz, X Intes and M Barroso, “Multiplexed non-invasive tumor imaging of glucose metabolism and receptor-ligand engagement using dark quencher FRET acceptor,” Theranostics 10.22 (2020): 10309

Y Gao, L Cavuoto, S Schwaitzberg, JE Norfleet, X Intes, and S De, “The effects of transcranial electrical stimulation on human motor functions: A comprehensive review of functional neuroimaging studies,” Frontiers in Neuroscience 14

M Ochoa, A Rudkouskaya, R Yao, P Yan, M Barroso & X Intes, “High Compression Deep Learning based Single-Pixel Hyperspectral Macroscopic Fluorescence Lifetime Imaging In Vivo,” BOE, 11(10), pp.5401-5424.

JT Smith, E Aguenounon, S Gioux, X Intes, “Macroscopic fluorescence lifetime topography enhanced via spatial frequency domain imaging,” Opt. Lett. 45(15), 4232-4235 (2020).

JT Smith, M Ochoa and X Intes, “UNMIX-ME: spectral and lifetime fluorescence unmixing via deep learning,” Biomedical Optics Express 11(7), 3857-3874 (2020).

S Yan, R Yao, X Intes and Q Fang, “Accelerating Monte Carlo forward model for structured light diffuse optical imaging via photon “sharing”,” Optics Letters 45(10), 2842-2845 (2020). PMID: 32412482

Y Gao, U Kruger, X Intes, S Schwaitzberg, S De, “A machine learning approach to predict surgical learning curves,” Surgery 167(2), 321-327 (2020).

MS Ozturk, VK Lee, H Zou, RH Friedel, X Intes, G Dai, “High resolution tomographic analysis of in vitro 3D glioblastoma tumor model under long-term drug treatment,” Science Advances 6: eaay7513 (2020).

2019

JT Smith, R Yao, N Sinsuebphon, A Rudkouskaya, N Un, J Mazurkiewicz, M Barroso, P Yan and X Intes, “Fast fit-free analysis of fluorescence lifetime imaging via deep learning,” PNAS 116 (48), 24019-24030 (2019).

F Yang, D Faulkner, R Yao, M Ozturk, Y Zhangi, Q Qu, X Intes, “System configuration optimization for Mesoscopic Fluorescence Molecular Tomography,” BOE 10(11), 5660-5674 (2019).

DM Kingsley, CL Roberge, A Rudkouskaya, DF Faulkner, M Barroso, X Intes, DT Corr, “Laser-Based 3D Bioprinting for Spatial and Size Control of Tumor Spheroids and Embryoid Bodies,” Acta Biomaterialia, S1742-7061(19)30118-7 (2019).

R Yao, M Ochoa, P Yan and X Intes, “Net-FLICS: Fast Quantitative Wide-field Fluorescence Lifetime Imaging with Compressed Sensing – A deep learning approach,” Light Science and Applications (Nature journal), 8, Article number: 26 (2019).

S-J Chen, N Sinsuebphon, A Rudkouskaya, M Barroso, X Intes and X Michalet, “In vitro and in vivo phasor analysis of stoichiometry and pharmacokinetics using near-infrared dyes,” J Biophotonics. Mar;12(3):e201800185 (2019).

A Nemani, U Kruger, C Cooper, S Schwaitzeberg, X Intes and S De, “Objective assessment of surgical skill transfer using non-invasive brain imaging,” Surg Endosc. 33(8), 2485-2494 (2019)

2018

F Yang, R Yao, M Ozturk, DM Faulkner, Q Qu and X Intes, “Improving mesoscopic fluorescence molecular tomography via preconditioning and regularization,” BOE 9(6), 2765-2778 (2018).

N Sinsuebphon, A. Rudkouskaya, M Barroso and X Intes, “Comparison of illumination geometry for lifetime-based measurements in whole-body preclinical imaging,” Journal of Biophotonics, Oct;11(10):e201800037

JP Angelo, S-J Chen, M Ochoa, U Sunar, S Gioux and X Intes, “Review of structured light in diffuse optical imaging,” Journal of Biomedical Optics 24(7), 071602 (2018).

A Rudkouskaya; N Sinsuebphon; X Intes; M Barroso, “Quantitative imaging of receptor-ligand engagement in intact live animals,” Journal of Controlled Release, 286, 451-459 (2018).

A Nemani, M Yücel, U Kruger, D Gee, C Cooper, S Schwaitzberg, S De, and X Intes, “Assessing bimanual motor skills with optical neuroimaging,” Science Advances 4(10): eat3807 (2018).

R Yao, X Intes and Q Fang, “Direct approach to compute Jacobians for diffuse optical tomography using perturbation Monte Carlo-based photon “replay”,” BOE 9(10), 4588-4603 (2018).

M Ochoa, Q Pian, N Ducros, and X Intes, “Assessing patterns for compressive fluorescence lifetime imaging,” Optics Letters, 43, 1–4 (2018).

A Nemani, U Kruger, C Cooper, S Schwaitzeberg, X Intes and S De, “Objective assessment of surgical skill transfer using non-invasive brain imaging,” Surg Endosc. Aug;33(8):2485-2494.

Q Pian, R Yao, X Intes, “Hyperspectral wide-field time domain single-pixel diffuse optical tomography platform,” BOE 9(12), 6258-6272 (2018).

2017

W Cong, X Intes, G Wang, “Reconstruction of optical parameters for molecular tomographic imaging,” arXiv preprint arXiv:1707.01197 (2017)

R Yao, M Ochoa, X Intes, P Yan, “Deep Compressive Macroscopic Fluorescence Lifetime Imaging,” arXiv preprint arXiv:1711.06187 (2017)

W Cong, X Intes and G Wang, “Optical tomographic imaging for breast cancer detection,” Journal of Biomedical Optics, 22(9), 096011 (2017).

F Yang, M Ozturk, R Yao and X Intes, “Improving mesoscopic fluorescence molecular tomography through data reduction,” Biomedical Optics Express, 8(8), 3868-3881 (2017).

F Long and X Intes, “Dental optical tomography with upconversion nanoparticles-a feasibility study”, Journal of Biomedical Optics 22(6), 066001 (2017).

Q Pian, R Yao, N Sinsuebphon, X Intes, “Compressive Hyperspectral Time-resolved Wide-Field Fluorescence Lifetime Imaging,” Nature Photonics, 11, 411-414(2017).

W Han, F Long, W Cong, X Intes and Ge Wang, “Radiative transfer with delta-Eddington-type phase functions,” Applied Mathematics and Computation 300, 70-78 (2017).

2016

M Ozturk, CW Chen, R Ji, L Zhao, BN Nguyen, J Fisher, Y Chen and X Intes, “Mesoscopic Fluorescence Molecular Tomography for Evaluating Engineered Tissues,” Annals of Biomedical Engineering 44(3), 667-679 (2016).

F Long, F Li, X Intes and S Kotha, “ Radiative transfer equation modeling by streamline diffusion modified continuous Galerkin method, ” Journal of Biomedical Optics 21(3), 036003 (2016).

R Yao, X Intes and Q fang, “ Generalized Mesh-based Monte Carlo for Wide-field Sources and Detectors via Mesh Retesselation, ” Biomedical Optics Express, 7(1) 171-184 (2016).

2015

T Omer, X Intes, and J Hahn, “Temporal data set reduction based on D-optimality for quantitative FLIM-FRET imaging.” PLOS ONE, Dec 11;10(12):e0144421

M Ozturk, CW Chen, R Ji, L Zhao, BN Nguyen, J Fisher, Y Chen and X Intes, “ Mesoscopic Fluorescence Molecular Tomography for Evaluating Engineered Tissues,” Annals of Biomedical Engineering, Mar;44(3):667-79. (2015)

Sez-Jade Chen, Nattawut Sinsuebphon, Xavier Intes. “Assessment of Gate Width Size on Lifetime-Based Forster Resonance Energy Transfer Parameter Estimation.” Photonics 2(4), 1027-1042 (2015).

A Edmans, X Intes. “Mesh Optimization for Monte Carlo-based Optical Tomography.” Photonics 2, 375-391 (2015).

R Yao, P Qi and X Intes, “Wide-Field Fluorescence Molecular Tomography with Compressive Sensing based Preconditioning,” Biomedical Optics Express 6(12), 4887-4898 (2015).

Q Pian, R Yao, L Zhao and X Intes. “Hyperspectral time-resolved wide-field fluorescence molecular tomography based on structured light and single-pixel detection.” Optics Letters, Vol. 40, Issue 3, pp. 431-434 (2015).

F Yang, M Ozturk, L Zhao, W Cong, G Wang and X Intes, “High-resolution mesoscopic fluorescence molecular tomography based on compressive sensing.” IEEE Biomedical Engineering 62(1), pp. 248-255 (2015).

2014

F Long , M Ozturk , Mark Wolff , X Intes and S Kotha. “Dental Imaging using Mesoscopic Fluorescence Molecular Tomography: An ex vivo feasibility study.” Photonics 1(4), 488-502 (2014).

S Rajoria, L Zhao, X Intes and M Barroso, “FLIM-FRET for cancer applications.” Current Molecular Imaging,3(2), 144-161 (2014). DOI: 10.2174/2211555203666141117221111.

Q Pian, C Wang, X Chen, J Liang, L Zhao, G Wang and X Intes, “Multimodal Biomedical Optical Imaging Review: Towards Comprehensive Investigation of Biological Tissues.” Current Molecular Imaging,3(2), 72-87 (2014).

T Omer, L Zhao, X Intes and J Hanh, “Reduced temporal sampling effect on accuracy of time-domain fluorescence lifetime Forster resonance energy transfer.” Journal of Biomedical Optics 19(8), 086023 (2014).

L Zhao, H Yang, W Cong, G Wang and X Intes, “ Lp Regularization for Early Time-Gate Fluorescence Molecular Tomography.” Optics Letters 39(14), 4156-4159 (2014).

Lingling Zhao, Ken Abe, Shilpi Rajoria, Qi Pian, Margarida Barroso, and Xavier Intes, “ Spatial light modulator based active wide-field illumination for ex vivo and in vivo quantitative NIR FRET imaging.” Biomedical Optics Express,5(3),944-960 (2014).

Mehmet S. Ozturk, Daniel Rohrbach, Ulas Sunar, Xavier Intes, “ Mesoscopic Fluorescence Tomography of a Photosensitizer (HPPH) 3D Biodistribution in Skin Cancer.” Academic Radiology 21(2) 2014,271-280.

2013

K Abe, L Zhao, A Periasamy, X Intes and M Barroso, “ Non-Invasive In Vivo Imaging of Near Infrared-labeled Transferrin in Breast Cancer Cells and Tumors Using Fluorescence Lifetime FRET. ” PLoS ONE 8(11): e80269.

M Ozturk, L Zhao, V Lee, G Dai and X Intes, “ Mesoscopic fluorescence molecular tomography of reporter genes in bioprinted thick tissue.” Journal of Biomedical Optics, 18 (10), 100501 (October 03, 2013).

L Zhao, K Abe, M Barroso and X Intes, “Active wide-field illumination for high-throughput fluorescence lifetime imaging.” Optics Letters 38(20), 3976-3979 (2013).

X Intes, “Guiding Light” International Innovation , 9, 68-70 (2013).(learn more)

V Venugopal and X Intes, “Adaptive Wide-field Optical Tomography,” Journal of Biomedical Optics 18(3), 036006 (2013).

2012

V Venugopal, J Chen, M Barrosso and X Intes, “Quantitative tomographic imaging of intermolecular FRET in small animals,” Biomedical Optics Express 3(12), 3161-3175 (2012).

J Chen, Q Fang and X Intes, “Mesh-based Monte Carlo method in time-domain widefield fluorescence molecular tomography,,” Journal of Biomedical Optics 17(10), 106009 (2012).

M Pimpalkhare, J Chen, V Venugopal and X Intes, “Ex Vivo Fluorescence Molecular Tomography of the Spine,” International Journal of Biomedical Imaging, Epub Nov 8 (2012).

X Intes, V Venugopal, J Chen, F Azar,“Multimodal diffuse imaging system,” in Biomedical Optical Imaging Techniques: Design and Applications, Springer, Chapter 7: 351-374 (2012).

L Zhao, V Lee, G Dai and X Intes, “The integration of 3-D cell printing and mesoscopic fluorescence molecular tomography of vascular constructs within thick hydrogel scaffolds,” Biomaterials 33 (21), 5325-5332 (2012).

V Venugopal and X Intes, “Recent advances in optical mammography,” Current Medical Imaging Reviews 8(4), 244-259 (2012).

2011

J Chen, V Venugopal and X Intes, “A Monte Carlo based method for fluorescence tomographic imaging with lifetime multiplexing using time gates,” Biomedical Optics Express 2, 871-886 (2011)

X Intes and Fred S Azar, “ Advances in optical mammography,” in Advanced Optical Imaging Technologies for Clinical Medicine, Editors N Iftimia, W Brugge, D Hammer, Wiley &Sons, Chapter 11: 307-336 (2011).

J Chen and X Intes, “Comparison of Monte Carlo Methods for Fluorescence Molecular Tomography - Computational Efficiency,,” Medical Physics 38 (10), 5788-5798 (2011).

2010

S Belanger, M Abran, X Intes, C Casanova and F Lesage, “Real time Diffuse Optical Tomography based on Structured Illumination,,” Journal of Biomedical Optics 15, 016006 (2010)

J Chen, V Venugopal, F Lesage and X Intes, “Time Resolved Diffuse Optical Tomography with patterned light illumination and detection,,” Optics Letters 35, 2121-2123 (2010)

V Venugopal, J Chen and X Intes, “Development of an optical imaging platform for functional imaging of small animals using wide-field excitation,,” Biomedical Optics Express 1, 143-156 (2010)

RA Waniewski, X Intes, V Venugopal, et al., “Development of Procedures for Bioimaging Rodents using Fluorescence Molecular Tomography, Magnetic Resonance Imaging, and Microscale, Computed X-Ray Tomography,” Journal of the American Association for Laboratory Animal Science 49, 730-730 (2010)

V Venugopal, J Chen , F Lesage and X Intes, “Full-field time-resolved fluorescence tomography of small animals,” Optics Letters 35, 3189-3191 (2010)

2005

S Nioka, S Wen, J Zhang, J Du, X Intes, Z Zhao, and B Chance, “Simulation Study of Breast Tissue Hemodynamics During Pressure Perturbation,” Adv. Exp. Med. Biol. 566, 17-22 (2005).

X Intes and B Chance, “Non-PET Functional Imaging Techniques (Part I) Optical,” Radiologic Clinics of North America. 43, 221-234 (2005).

Y Chen, X Intes and B Chance, “Development of high sensitivity near-infrared fluorescence imaging device for early cancer detection,” Biomedical Instrumentation & Technology. 39, 75-85 (2005).

S Lam, F Lesage and X Intes, “Time Domain Fluorescent Diffuse Optical Tomography: Analytical expressions,” Optics Express 13, 2263-2275 (2005).

M Guven, B Yazici, X Intes, and B Chance, “Diffuse Optical Tomography with a priori Anatomical Information,” Phys. Med. Biol. 50, 2837-2858 (2005).

X Intes, “Time-Domain Optical Mammography SoftScan: Initial Results,“ Academic Radiology 12, 934-947 (2005).

X Intes and B Chance, “Multi-frequency Diffuse Optical Tomography,” Journal of Modern Optics 52, 2139-2159 (2005).

2004

X Intes, C Maloux, M Guven, B Yazici and B Chance, “Diffuse Optical Tomography with physiological and spatial a-priori constraints,” Phys. Med. Biol. 49, N155-164 (2004).

G Zheng, Y Chen, X Intes, B Chance and J Glickson, “Contrast-Enhanced NIR Optical Imaging for subsurface cancer detection,” Journal of Porphyrin and Phthalocyanines 8, 1106- 1118 (2004).

2003

Y Chen, X Intes, DR Tailor, R Regatte, H Ma, V Ntziachristos, J Leigh, R Reddy and B Chance, “Probing Rat Brain Oxygenation with Near-Infrared (NIR) Spectroscopy and Magnetic Resonance Imaging (MRI),” Oxygen Transport to Tissue XXIII, edited by D.Wilson et al., Kluwer academic, 199-204 (2003).

Y Chen, D Tailor, X Intes and B Chance, “Correlation between Near-Infrared spectroscopy (NIRS) and magnetic resonance imaging (MRI) on rat brain oxygenation modulation,” Phys. Med. Biol. 48, 417-427 (2003).

X Intes, J Ripoll, T Kitai, Y Chen, S Nioka, A Yodh and B Chance, “In vivo continuous-wave optical breast imaging enhanced with Indocyanine Green,” Medical Physics 30, 1039-1047 (2003).

Y Chen, C Mu, X Intes, D Blessington and B Chance, “Near-infrared phase cancellation instrument for fast and accurate localization of fluorescent heterogeneity,” Rev. Sci. Instrum. 74, 3466-3473 (2003).

Y Chen, G Zheng, Z Zhang, D Blessington, M Zhang, H Li, Q Liu, L Zhou, X Intes and B Chance, “Metabolism Enhanced Tumor Localization by Fluorescence Imaging: In Vivo Animal Studies,” Optics Letters 28, 2070-2072 (2003).

2002

X Intes, V Ntziachristos, J Culver, A Yodh and B Chance, “Projection access order in Algebraic Reconstruction Techniques for Diffuse Optical Tomography,” Phys. Med. Biol. 47, N1-N10 (2002).

X Intes, V Ntziachristos and B Chance, “Analytical model for dual-interfering sources Diffuse Optical Tomography,” Optics Express 10, 2-14 (2002).

X Intes, Y Chen, X Li and B Chance, “Detection limit enhancement of fluorescent heterogeneities in turbid media by dual-interfering excitation,” Applied Optics 41, 3999-4007 (2002).

Y.Lin, G.Lech, S.Nioka, X Intes and B Chance, “Non-invasive, low-noise, fast imaging of blood volume and deoxygenation changes in muscles using LED continuous-wave (CW) imager,” Review of Scientific Instruments 73, 3065-74 (2002).

T Tu, Y Chen, J Zhang, X Intes and B Chance, “Analysis on Performance and Optimization of Frequency-domain Near-Infrared Instruments,” J. Biomed. Opt. 7, 643-649 (2002).

Y Chen, C Mu, X Intes and B Chance, “Adaptive Calibration for Object Localization in Turbid Media with Interfering Diffuse Photon Density Waves,” Applied Optics 41, 7325-7333 (2002).

2001

X Intes, B Chance, M Holboke and A Yodh, “Interfering diffusive photon-density waves with an absorbing-fluorescent inhomogeneity,” Optics Express 8, 223-231 (2001).

Y Chen, C Mu, X Intes and B Chance, “Signal-to-noise analysis for detection sensitivity of small absorbing heterogeneity in turbid media with single-source and dual-interfering-source,” Optics Express 9, (2001).

2000

F Pellen, X Intes, P Olivard, Y Guern, J Cariou and J Lotrian, “Determination of water frequency response by backscattering measurement,” J. Phys. D: Appl. Phys. 33, 349-354 (2000).

1999

X Intes, B Le Jeune, F Pellen, Y Guern, J Cariou and J Lotrian, “Localization of the virtual point source used in the diffusion approximation to model collimated beam source,” Waves in Random Media 9, 489-499 (1999).

1997

X Intes, B Le Jeune, F Pellen, Y Guern, J Cariou and J Lotrian, “Determination of optical properties of multiple-scattering media by using a coherent-modulated source,” J. Opt. 28, 218-224 (1997).