2024

198. V Pandey, I Erbas, X Michalet, A Ulku, C Bruschini, E Charbon, X Intes, “Temporal Point Spread Function Deconvolution in Time-resolved Fluorescence Lifetime Imaging using Deep Learning Model,” Optical Tomography and Spectroscopy, OM1D. 4 (2024)

197. NI Nizam, I Erbas, V Pandey, JT Smith, X Intes, “Deep Learning Aided Fluorescence Lifetime Tomography,” Optical Tomography and Spectroscopy, OM1D. 3 (2024)

196. I Erbas, V Pandey, NI Nizam, N Yuan, X Intes, “Fluorescence lifetime parameters estimation with transformer based deep learning model,” Clinical and Translational Biophotonics, TS3B. 2 (2024)

195. N Yuan, V Pandey, X Michalet, X Intes, “Experimental study of Fluorescence Lifetime Uncertainty in Time-Gated ICCD-based Macroscopic Fluorescence Lifetime Imaging,” Clinical and Translational Biophotonics, TM5B. 4 (2024)

194. L Chavez, S Gao, V Pandey, N Yuan, J Li, MS Hepburn, P Smith, ... “Multimodal Fluorescence Lifetime Imaging and Optical Coherence Elastography for Mesoscopic Structural, Biomechanical, and Molecular Imaging,” Clinical and Translational Biophotonics, TS3B. (2024)

193. S Gao, V Pandey, N Yuan, J Li, MS Hepburn, P Smith, ... “Mesoscopic Structural, Biomechanical, and Molecular Imaging,” Clinical and Translational Biophotonics, TS3B. 1 (2024)

192. A Verma, V Pandey, N Yuan, C Sherry, T Humphrey, C James, T Young, ... “Quantifying Drug-Receptor Engagement using Macroscopic Fluorescence Lifetime FRET in vivo Imaging,” Microscopy Histopathology and Analytics, MM5A. 5 (2024)

191. F Awadalla, D Oruko, J Goldwag, K Matteson, J Bravo-Cordero, H Yee, ... “Organelle Topology Profiling of Metastatic Cancer Cells Using Machine Learning Classification,” Microscopy Histopathology and Analytics, MM3A. 7 (2024)

190. V Pandey, I Erbas, X Intes, “Multimodal Data-fusion in Fluorescence Lifetime Imaging using Deep Learning,” Optics and the Brain, JS4A. 26 (2024)

189. NI Nizam, I Erbas, V Pandey, X Intes, “Monte-Carlo Based Data Generator for Fluorescence Lifetime Applications,” Optical Coherence Tomography, JS4A. 27 (2024)

188. C Eastmond, S De, ST Radev, X Intes, “Full-Head fNIRS Data Generator Coupled with a Neural Posterior Estimation,” Microscopy Histopathology and Analytics, JM4A. 35 (2024)

187. A Verma, C Sherry, V Pandey, N Yuan, J Williams, X Intes, MM Barroso, “Macroscopy fluorescence lifetime FRET monitors drug-target engagement in tumors in vivo,” Visualizing and Quantifying Drug Distribution in Tissue VIII, PC128210F (2024)

186. C Sherry, L Chavez, R Kanai, S Gao, J Lamar, X Intes, M Barroso, “Multiplexed fluorescence lifetime imaging of near-infrared fluorescent proteins in 3D tumor spheroids,” Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical … (2024)

185. XR Intes, “Computational fluorescence lifetime imaging,” Computational Optical Imaging and Artificial Intelligence in Biomedical … (2024)

184. C Sherry, C Roberge, C James, A Asif, X Intes, D Corr, M Barroso, “Near-infrared fluorescence lifetime FRET microscopy differentiates between drug-target binding versus non-specific accumulation in various 3D breast cancer models,” Multiphoton Microscopy in the Biomedical Sciences XXIV, PC128470V (2024)

183. NI Nizam, V Pandey, I Erbas, A Ulku, C Bruschini, E Charbon, X Michalet, ... “3D fluorescence molecular tomography utilizing a novel SPAD camera,” Multimodal Biomedical Imaging XIX, PC1283407 (2024)

182. A Verma, C Sherry, N Yuan, V Pandey, J Williams, X Intes, MM Barroso, “Using meditope-based antibody labeling to improve fluorescence lifetime FRET imaging,” Multiphoton Microscopy in the Biomedical Sciences XXIV, PC128470S (2024)

181. NI Nizam, V Pandey, JT Smith, I Erbas, X Intes, “Fluorescence lifetime tomography via deep learning,” Multimodal Biomedical Imaging XIX, PC128340H (2024)

180. I Erbas, V Pandey, NI Nizam, N Yuan, X Intes, “Transformer based deep learning model for fluorescence lifetime parameters estimation using pixelwise instrument response function,” Multimodal Biomedical Imaging XIX, PC128340C (2024)

179. V Pandey, X Michalet, A Ulku, C Bruschini, E Charbon, X Intes, “Deep Learning model for efficient instrument response function deconvolution in fluorescence lifetime imaging,” Multimodal Biomedical Imaging XIX, PC128340P (2024)

179. N Yuan, V Pandey, A Verma, JC Williams, X Intes, M Barroso, “Antibody-target binding quantification in living tumors using macroscopy fluorescence lifetime Forster resonance energy transfer imaging (MFLI FRET),” Visualizing and Quantifying Drug Distribution in Tissue VIII 12821, 17-20 (2024)

178. H Yee, K Matteson, J Goldwag, JM Lamar, M Barroso, X Intes, U Kruger, “Organelle-based breast cancer cell classification with deep learning and visual explanations,” Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII …, SPIE Vol. 12846, 1284604 (2024)

177. FS Azar, X Intes, “Multimodal Biomedical Imaging XIX,” Proc. of SPIE Vol 12834, 1283401-1 (2024).

2023

176. C Sherry, A Verma, J Smith, V Pandey, T Young, J Williams, X Michalet, ... “Near infrared fluorescence lifetime FRET microscopy to evaluate antibody drug binding in various HER2 positive cancer cell lines,” Multiphoton Microscopy in the Biomedical Sciences XXIII 12384, 162-167 (2023).

175. NI Nizam, JT Smith, X Intes, “3d fluorescence lifetime estimation using deep learning,” Optical Molecular Probes, Imaging and Drug Delivery, OTh1E. 3 (2023).

174. A Verma, V Pandey, JT Smith, X Intes, M Barroso, “Impact of tumor microenvironment in antibody-HER2 binding using macroscopy fluorescence lifetime FRET in vivo imaging,” Visualizing and Quantifying Drug Distribution in Tissue VII 12357, 123570D (2023).

173. A Kamat, C Eastmond, E Yanik, S De, X Intes, “Open access fNIRS dataset of surgical skill execution in the fundamental of laparoscopic program,” Clinical and Translational Neurophotonics 2023 12364, 123640E (2023).

172. JT Smith, et al., “FRET in small animal optical imaging: Intensity versus lifetime-based approaches,” Visualizing and Quantifying Drug Distribution in Tissue VII 12357, 1235707 (2023).

171. X Intes, “Monitoring target engagement in vivo via lifetime FRET,” Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications XIV (2023)

170. C Sherry, et al., “Near infrared fluorescence lifetime FRET microscopy to evaluate antibody drug binding in various HER2 positive cancer cell lines,” Multiphoton Microscopy in the Biomedical Sciences XXIII 12384, 158-163 (2023).

169. S Gao, A Verma, M Barroso, X Intes, “Ex vivo mesoscopic assessment of drug delivery and target engagement via lifetime FRET,” Visualizing and Quantifying Drug Distribution in Tissue VII 12357, 12-13 (2023).

168. NI Nizam, M Ochoa, JT Smith, X Intes, “Micro-CT guided deep neural network for 3D reconstructions in widefield diffuse optical tomography,” Multimodal Biomedical Imaging XVIII 12371, 11-15 (2023)

167. L Chavez, S Gao, X Intes, “Multimodal image fusion of time-domain mesoscopic fluorescence molecular tomography and short-wave infrared imaging for resolution enhancement,” Multimodal Biomedical Imaging XVIII, PC123710B (2023).

166. JT Smith, et al., “Comparison of intensity versus lifetime-based approaches for quantitative in vivo FRET imaging,” Biophysical Journal 122 (3), 450a (2023).

165. JT Smith, et al., “Better phasor calibration in turbid media using Monte Carlo simulations,” Biophysical Journal 122 (3), 128a (2023).

164. P Walia, et al., “Error related fNIRS-EEG microstate analysis during a complex surgical motor task,” 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022).

2022

163. J Smith, J Gupta, A Rudkouskaya, S Gao, A Ulku, C Bruschini, E Charbon, S Weiss, M Barroso, X Intes, X Michalet, “Characterization of a large Gated SPAD camera for in vivo Macroscopic Fluorescence Lifetime Imaging,” OSA Clinical and Translational Biophotonics, TW4B. 5 (2022).

162. N Nizam, M Ochoa, J Smith, X Intes, “Wide-field Diffuse Optical Tomography Using Deep Learning,” OSA Optical Tomography and Spectroscopy, OW4D. 7 (2022).

161. M Ochoa, J Smith, N Nizam, X Intes, “Monte-Carlo based data generator for Deep Learning applications,” OSA Optics and the Brain, JM3A. 25 (2022).

160. A Kamat, X Intes, S De, A Dutta, “Efference information flow during skill acquisition mediates its interaction with medical simulation technology,” OSA Optics and the Brain, JTu3A. 33 (2022).

159. J Smith, A Rudkouskaya, S Gao, A Ulku, C Bruschini, E Charbon, S Weiss, M Barroso, X Intes, X Michalet, “Characterization of a large gated SPAD array for in vivo fluorescence lifetime imaging of drug target engagement,” SPIE Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XX, PC1196408 (2022).

158. M Barroso, A Rudkouskaya, J Smith, J Williams, X Intes, “Antibody-target binding in living tumors using macroscopy fluorescence lifetime imaging,” SPIE Multiphoton Microscopy in the Biomedical Sciences XXII, PC119650C (2022).

157. A Rudkouskaya, J Smith, X Intes, M Barroso, “Multiplexing drug-target engagement and metabolic imaging in HER2-positive tumor xenograft models,” SPIE Visualizing and Quantifying Drug Distribution in Tissue VI, PC1193809 (2022).

156. A Subedi, Fnu Rahul, A Dutta, J Norfleet, B Makled, X Intes, S De, “A dilated causal convolutional model for surgical skill assessment using optical neuroimaging,” SPIE Clinical and Translational Neurophotonics, 11945, 56-61 (2022).

155. A Kamat, J Norfleet, X Intes, A Dutta, S De, “Perception action cycle-related brain networks differentiate experts and novices: a combined EEG, fNIRS study during a complex surgical motor task,” SPIE Clinical and Translational Neurophotonics, 11945, 47-55 (2022).

154. X Michalet, A Ulku, JT Smith, C Bruschini, S Weiss, E Charbon, X Intes, “NIR fluorescence lifetime macroscopic imaging with a time-gated SPAD camera,” SPIE Multiphoton Microscopy in the Biomedical Sciences XXII, 11965, 29-37 (2022).

153. J Smith, A Rudkouskaya, S Gao, A Ulku, C Bruschini, E Charbon, S Weiss, M Barroso, X Intes, X Michalet, “Characterization of a large gated SPAD array for widefield NIR fluorescence lifetime imaging in vitro and in vivo,” Biophysical Journal 121, 415a (2022).

2021

152. S Gao, X Intes, “System Characterization of Time-domain Mesoscopic Fluorescence Molecular Tomography,” OSA Clinical and Translational Biophotonics, JM3A. 31 (2022)

151. A Kamat, B Makled, J Norfleet, X Intes, A Dutta, S De, “Brain network effects related to physical and virtual surgical training revealed by Granger causality,” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 1014-1017 (2021).

150. FNU Rahul, A Dutta, A Subedi, B Makled, J Norfleet, X Intes, S De, “A deep learning model for a priori estimation of spatiotemporal regions for neuroimaging guided non-invasive brain stimulation,” Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, 14, 1689 (2021)

149. P Walia, Y Fu, S Schwaitzberg, X Intes, S De, L Cavuoto, A Dutta, “Neuroimaging guided tES to facilitate complex laparoscopic surgical tasks–insights from functional near-infrared spectroscopy,” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 7437-7440 (2021)

148. A Dutta, A Kamat, B Makled, J Norfleet, X Intes, S De, “Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator,” International Conference on Medical Image Computing and Computer-Assisted Intervention, 636-644 (2021)

147. X Intes, “Towards Fast Quantitative Wide-Field Lifetime Imaging in 2D and 3D,” SPIE Molecular-Guided Surgery: Molecules, Devices, and Applications VII, 11625, 1162508 (2021).

146. N Nizam, M Ochoa, JT Smith, X Intes, “K-space fluorescence tomography in reflectance: a comparison between deep learning and iterative solvers,” SPIE Multimodal Biomedical Imaging XVI, 11634, 116340D (2021).

145. M Ochoa, JT Smith, X Intes, “Single-pixel hyperspectral macroscopic autofluorescence lifetime imaging and unmixing with deep learning,” SPIE Label-free Biomedical Imaging and Sensing (LBIS), 11655, 1165505 (2021).

144. X Intes, “Towards multimodal assessment of surgical skills,” SPIE Multimodal Biomedical Imaging XVI, 11634, 116340F (2021).

143. JT Smith, E Aguénounon, S Gioux, X Intes, “Depth-resolved macroscopic fluorescence lifetime imaging improved though spatial frequency domain imaging,” SPIE Molecular-Guided Surgery: Molecules, Devices, and Applications VII, 11625, 116250A (2021).

142. S Gao, X Intes, “System characterization of time-resolved mesoscopic fluorescence molecular tomography,” SPIE Multimodal Biomedical Imaging XVI, 11634, 116340V (2021)

141. A Rudkouskaya, J Smith, X Intes, M Barroso, “Monitoring receptor heterodimerization along intracellular trafficking pathways using anti-HER2 therapeutic antibodies,” SPIE Visualizing and Quantifying Drug Distribution in Tissue V, 11624, 16-21 (2021)

2020

140. M Barroso, A Rudkouskaya, JT Smith, X Intes, “Monitoring receptor-ligand interactions using fluorescence lifetime FRET imaging via deep learning,” SPIE Multiphoton Microscopy in the Biomedical Sciences XX, 11244, 1124419 (2020).

139. Y Gao, L Cavuoto, P Yan, U Kruger, S Schwaitzberg, S De, X Intes, “A deep learning approach to remove motion artifacts in fNIRS data analysis,” OSA Optics and the Brain, BM2C. 7 (2020).

138. Y Gao, L Cavuoto, P Yan, U Kruger, J Silvestri, S Schwaitzberg, X Intes, S De, “Monitoring the effect of transcranial Electric current Stimulation (tES) during a bimanual motor task via functional Near-InfraRed Spectroscopy (fNIRS),” OSA Clinical and Translational Biophotonics, JTh2A. 29 (2020).

137. JT Smith, M Ochoa, X Intes, “Hyperspectral Lifetime Unmixing via Deep Learning,” OSA Optical Tomography and Spectroscopy, SW1D. 5 (2020).

136. M Ochoa, A Rudkouskaya, M Barroso, X Intes, “Towards fast and high resolution hyperspectral single-pixel lifetime imaging with deep-learning,” OSA Optical Tomography and Spectroscopy, JW3A. 17 (2020).

135. X Intes, “Mesoscopic and macroscopic fluorescence lifetime imaging,” SPIE: Advanced Photon Counting Techniques XIV, 11386, 113860J (2020).

134. A Rudkouskaya, J Smith, M Ochoa, X Intes, M Barroso, “Quantification of anti-HER2 drug uptake into human breast cancer cells using fluorescence lifetime FRET imaging,” SPIE: Visualizing and Quantifying Drug Distribution in Tissue IV, 11219, 13-18 (2020).

2019

133. JT Smith, N Un, R Yao, N Sinsuebphon, A Rudkouskaya, J Mazurkiewicz, M Barroso, P Yan, X Intes, “Fluorescent Lifetime Imaging improved via Deep Learning,” OSA Novel Techniques in Microscopy, NM3C. 4 (2019)

132. M Ochoa, R Yao, P Yan, X Intes, “Facilitating Hyperspectral Single Pixel Lifetime Imaging via deep-learning,” OSA Optical Molecular Probes, Imaging and Drug Delivery, OT3D. 2 (2019)

131. Y Gao, P Yan, S De, X Intes, “fNIRS as a Quantitative tool to Asses and Predict Surgical Skills,” Optics and the Brain, BW4A. 2 (2019)

130. A Rudkouskaya, S Chen, N Sinsuebphon, JE Mazurkiewicz, M Ochoa, X Intes, M Barroso, “Multiplexed Fluorescence Lifetime in vivo FRET Imaging using a Dark Quencher,” Optical Molecular Probes, Imaging and Drug Delivery, OW5D. 4 (2019)

129. J Smith, R Yao, N Sinsuebphon, A Rudkouskaya, M Barroso, P Yan, X Intes, “Advancing Complex Fluorescence Lifetime Image Reconstruction via Deep 3D-FCNs,” APS Bulletin of the American Physical Society vol. 64 (2019)

128. R Yao, S Yan, X Intes, Q Fang, “Accelerating Monte Carlo forward model with structured light illumination via “photon sharing”, SPIE Optical Tomography and Spectroscopy of Tissue XIII 10874, 108740B (2019).

127. AL Mur, M Ochoa, JE Cohen, X Intes, N Ducros, “Handling negative patterns for fast single-pixel lifetime imaging,” SPIE Molecular-Guided Surgery: Molecules, Devices, and Applications V 10862, 108620A (2019)

126. M Barroso, A Rudkouskaya, N Sinsuebphon, X Intes, “MFLI-FRET as an analytical tool to monitor drug distribution and penetration in tumor xenografts, liver and bladder in intact, live animals,” SPIE Visualizing and Quantifying Drug Distribution in Tissue III 10859, 108590D (2019)

125. JT Smith, R Yao, S-J Chen, N Sinsuebphon, A Rudkouskaya, M Barroso, P Yan, X Intes, “Deep learning for quantitative bi-exponential fluorescence lifetime imaging.” SPIE Multimodal Biomedical Imaging XIV 10871, 108710J (2019)

124. S-J Chen, A Rudkouskaya, J Mazurkiewicz, M Ochoa Mendoza, N Sinsuebphon, M Barroso, X Intes, “IRDye QC-1 as a near-infrared dark acceptor for fluorescence lifetime FRET measurements in cells and in live intact animals,” SPIE Multiphoton Microscopy in the Biomedical Sciences XIX 10882, 108820N (2019)

123. DE Faulkner, R Yao, DM Kingsley, DT Corr, X Intes, “Fusion of optical coherence tomography and mesoscopic fluorescence molecular tomography via Laplacian spatial priors,” SPIE Multimodal Biomedical Imaging XIV 10871, 108710C (2019)

122. Sinsuebphon, N.; Rudkouskaya, A.; Barroso, M.; Intes, X., “Dynamic macroscopic in vivo FRET for the quantitative monitoring of targeted receptor engagement”, Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 10877, p 108770F (7 pp.), 2019

2018

121. Mur, L; Ochoa, M.; Cohen, J.E.; Intes, X.; Ducros, N., “Handling negative patterns for fast single-pixel lifetime imaging”,  Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 10862, p 108620A (10 pp.), 2019

120. Yao, R.; Ochoa, M.; Intes, X.; Pingkun Yan, “Deep compressive macroscopic fluorescence lifetime imaging” Source: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI), p 908-11 (2018)

119. Barroso, M et al., “Quantitative Deep Tissue Imaging of Target Engagement in Intact Live Animals, FASEB JOURNAL 32 (1), S818.1 (2018).

118. Sinsuebphon, N, Rudkouskaya, A, Barroso, M, Intes, X, “Dynamical NIR FRET for Non-Invasive Monitoring in vivo Target-Receptor Engagement,” Clinical and Translational Biophotonics, CTh4B. 4 (2018)

117. Yao, R, Ochoa, MI, Intes, X, Yan, P, “Fluorescence Lifetime Imaging with Compressive Sensing through Deep Convolutional Neural Network,” Optical Tomography and Spectroscopy, OF2D. 4 (2018)

116. Ochoa, MI, Pian, Q, Intes, X, “Comparison of Compressive Basis for Quantitative Single-Pixel Fluorescence Lifetime Imaging,” Optical Tomography and Spectroscopy, OTu4D. 4 (2018)

115. Chen, SJ, Sinsuebphon, N, Rudkouskaya, A, Barroso, M, Intes, X, “Noninvasive Characterization of PEGylated Transferrin Probe Delivery Using Lifetime-based FRET,” Microscopy Histopathology and Analytics, JTh3A. 19 (2018)

114. Faulkner, DE, Roberge, CE, Kingsley, D, Sloat, CJ, Corr, DT, Intes, X, “Improving Optical Coherence Tomography Contrast for Assessing Biologic Constructs via TiO2,” Optical Tomography and Spectroscopy, JTh3A. 47 (2018)

113. Nemani, A, De, S, Intes, X, “Functional Brain Connectivity Distinguishes Surgical Skill Learning with Surgical Simulators,” Optical Tomograph and Spectroscopy, JTh3A. 53 (2018)

112. Pian, Q, Yao, R, Intes, X, “Noise Characteristics of a Single-pixel Macroscopic Fluorescence Lifetime Imaging System,” Optical Tomography and Spectroscopy, JTh3A. 51 (2018)

111. Yao, R, Intes, X, Fang, Q, “Efficient Jacobian Construction for Hyperspectral Wide-field Diffuse Optical Tomography via “Replay” Monte Carlo,” Microscopy Histopathology and Analytics, JTu3A. 30 (2018)

110. Chen, SJ, Sinsuebphon, N, Rudkouskaya, A, Barroso, M, Intes, X, Michalet, X, “Fast in vivo quantification of receptor engagement by phasor analysis of NIR fluorescence lifetime,” Multimodal Biomedical Imaging XIII 10487, 104870I (2018)

109. Barroso, M., Intes, X., Sinsuebphon, N., Rudkouskaya, A., “Deep tissue imaging of target engagement in live animals,” Visualizing and Quantifying Drug Distribution in Tissue II 10475, 104750A (2018)

108. Barroso, M., Rudkouskaya, A., Ward, J., Mazurkiewicz, JE., Sinsuebphon, Chen, SJ., Intes, X., “Near infrared fluorescence lifetime FRET imaging of target engagement at multiscale,” Multiphoton Microscopy in the Biomedical Sciences XVIII 10498, 104980R (2018)

107. Miles, B., Intes, X., Gioux, S., “Novel platform for optically guided head and neck robotic surgery,” Optical Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2018, 10469, p1046918 (2018)

2017

106. Nemani, A., Cooper, C., Intes, X., De, S., Schwaitzberg, SD., “Noninvasive Brain Imaging Demonstrates that Surgical Skills Transfer from Training Simulators to Ex Vivo Models,” Journal of the American College of Surgeons 225 (4), e22 (2017)

105. Intes, X., “ Mesoscopic Fluorescence Molecular Tomography,” IEEE Photonics Conference proceedings, 701-2, 2017.

104. Intes, X., “ Compressive hyperspectral time-resolved wide-field fluorescence lifetime imaging,” Proceedings of the SPIE - Wavelets and Sparsity XVII, v 10394, 1039404 (2017).

103. Nemani, A; Cooper, C.; Intes, X.; et al, “ Noninvasive Brain Imaging Demonstrates that Surgical Skills Transfer from Training Simulators to Ex Vivo Models,” J. of the American College of Surgeons 225 (4), p. E22-E22, 2017.

102. Chen, S.-J.; Sinsuebphon, N.; Barroso, M.; Intes, X.; Michalet, X., “AlliGator: A Phasor Computational Platform for Fast in vivo Lifetime Analysis,” Optical Molecular Probes, Imaging and Drug Delivery, Paper# OmTu2D.2, 2017.

101. Yao, R.; Intes, X.; Fang, Q., “ A Rapid Approach to Build Jacobians for Optical Tomography via Monte Carlo Method and Photon “Replay”, ” Bio-Optics: Design and Application, Paper# BoW3A.3, 2017.

100. Nemani, A.; Kruger, U.; Intes, X.; De, S., “ Increased Sensitivity in Discriminating Surgical Motor Skills Using Prefrontal Cortex Activation over Established Metrics,” Bio-Optics: Design and Application, Paper# JTu4A.11, 2017.

99. Rudkouskaya, A.; Sinsuebphon, N.; Intes, X.; Barroso, M., “ Fluorescence lifetime FRET imaging of receptor-ligand complexes ” in Conference on Multiphoton Microscopy in the Biomedical Sciences XVII in Biomedical Optics and Imaging, v 10069, UNSP 1006917, 2017.

98. Rudkouskaya, A.; Sinsuebphon, N.; Intes, X.; Barroso, M., “ Fluorescence lifetime FRET non-invasive imaging of breast cancer xenografts provides a measure of target engagement in vivo,” Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 10049, UNSP 1004908, 2017.

2016

97. Barroso, M. ; et al., “FLIM-FRET imaging of ligand-receptor binding in tumor cells in vitro and in vivo,” FASEB J. 30(1), Meeting Abstract: 51.7 (2016).

96. Nemani, A; Ahn, W ; Gee, D; Intes, X ; Schwaitzberg, S; Yucel, M; De, S, “ Objective Surgical Skill Differentiation for Physical and Virtual Surgical Trainers via Functional Near-Infrared Spectroscopy,” Medicine Meets Virtual Reality 22, Book Series: Studies in Health Technology and Informatics 220, 256-261 (2016).

95. G Wang, W Cong, Q Yang, Q Pian, S Zhu, J Liang, M Barroso and X Intes,“ Innovation and fusion of x-ray and optical tomography for mouse studies of breast cancer, ” Proc. SPIE 9967, Developments in X-Ray Tomography X, 99671R, 2016.

94. R Yao, X Intes, Q Fang,“ Enabling wide-field illumination and detection in mesh-based Monte Carlo simulations,” Biomedical Optics 2016 OSA Technical Digest OW4D. 5, 2016.

93. MS Ozturk, VK Lee, G Dai, X Intes,“ Longitudinal Volumetric Assessment of Glioblastoma Brain Tumor in 3D Bio-Printed Environment by Mesoscopic Fluorescence Molecular Tomography,” Biomedical Optics 2016 OSA Technical Digest JM3A. 46, 2016.

92. N Sinsuebphon, A Rudkouskaya, M Barroso, X Intes,“ Whole body lifetime FRET imaging in transmission and reflectance for the assessment of drug delivery efficacy in small animals,,” Biomedical Optics 2016 OSA Technical Digest JM3A. 48, 2016.

91. Q Pian, R Yao, N Sinsuebphon, X Intes,“ Hyperspectral Compressive Single-Pixel Imager for Fluorescence Lifetime Sensing,” Biomedical Optics 2016 OSA Technical Digest OTu2C. 7, 2016.

90. A Rudkouskaya, N Sinsuebphon, X Intes, M Barroso,“ Role of Tumor Heterogeneity in Imaging Breast Cancer Targeted Delivery using FLIM FRET in Vivo,,” Biomedical Optics 2016 OSA Technical Digest CTh2A. 5, 2016.

89. SJ Chen, N Sinsuebphon, A Rudkouskaya, M Barroso, X Intes,“ Fluorescence Lifetime-based Multiplexing of Near-Infrared Forster Resonance Energy Transfer Pairs,” Biomedical Optics 2016 OSA Technical Digest, JW3A.36, 2016.

88. Long, F.; Intes, X.; Kotha, S.,“ Dental Optical Tomography with UCNPs,” Biomedical Optics 2016 OSA Technical Digest, JW3A.3, 2016.

87. Yao, R.; Zhao, L.; Intes, X.,“ Sparse temporal sampling for fast time-domain wide-field fluorescence molecular tomography,” Proceedings Volume 9701: Multimodal Biomedical Imaging XI, 2016.

86. Sez-Jade Chen, SJ.; Intes, X. ,“ Gate-width impact on NIR FRET lifetime fitting using gated ICCD,” Proceedings Volume 9701: Multimodal Biomedical Imaging XI, 2016.

85. Sinsuebphon, N.; Rudkouskaya, A.; Barroso, M.; Intes, X. ,“ Wide-field lifetime-based FRET imaging for the assessment of early functional distribution of transferrin-based delivery in breast tumor-bearing small animals,” Proceedings Volume 9689: Photonic Therapeutics and Diagnostics XII, 2016.

84. Pian, Q.; Yao, R.; Intes, X. ,“ Time-resolved hyperspectral single-pixel camera implementation for compressive wide-field fluorescence lifetime imaging,” SPIE Proceedings Volume 9701: Multimodal Biomedical Imaging XI, 2016.

2015

83. Intes, X. ,“ Wide-field lifetime-based Forster Resonance Energy Transfer in Live animals,” Conference on Lasers and Electro-Optics (CLEO). Proceedings, p 2 pp., 2015.

82. Omer, T.; Intes, X.; Hahn, J. “ Sensitivity analysis-based time gate selection procedure for biexponential fluorescence imaging,” 41st Annual Northeast Biomedical Engineering Conference (NEBEC). Proceedings, p 1-2, 2015

81. Yao, R.; Intes, X.; Fang Q. “ Re-tessellated mesh-based Monte Carlo for wide-field illumination sources,” 41st Annual Northeast Biomedical Engineering Conference (NEBEC). Proceedings, p 1-2, 2015

80. Tricomi, B.J.; Ozturk, M.S.; Intes, X.; Corr, D.T., “ Biofabrication and 3D localization of multilayered cellular constructs using Laser Direct-Write and Mesoscopic Fluorescent Molecular Tomography, ” 41st Annual Northeast Biomedical Engineering Conference (NEBEC). Proceedings, p 1-2, 2015

79. Pian Q.; Yao R.; Intes, X. “ Multispectral time-resolved diffuse optical tomography system for absorber mapping in turbid medium using wide-field single-pixel camera,” 41st Annual Northeast Biomedical Engineering Conference (NEBEC).

Proceedings, p 1-2, 2015

78. Nemani, A.; Intes, X.; De, S. “ Surgical motor skill differentiation via functional near infrared spectroscopy,” 41st Annual Northeast Biomedical Engineering Conference (NEBEC). Proceedings, p 1-2, 2015

77. Sez-Jade Chen and Intes, X. “ Assessment of gate width size on lifetime-based Forster Resonance Energy Transfer parameter estimation,” 41st Annual Northeast Biomedical Engineering Conference (NEBEC). Proceedings, p 1-2, 2015

76. Ji, R.; Ozturk, M.S.; Intes, X. “ SNR characterization of mesoscopic fluorescence molecular tomography with EMCCD camera,” 41st Annual Northeast Biomedical Engineering Conference (NEBEC). Proceedings, p 1-2, 2015

75. Intes, X. “ Wide-field lifetime-based Forster Resonance Energy Transfer in Live animals,” Conference on Lasers and Electro-Optics (CLEO). Proceedings, p 2 pp., 2015

2014

74. Edmans, A., Smith, Cameron, Intes, X. “ Solution field metrics in mesh optimization for Monte Carlo based optical tomography,” Biomedical Optics (BIOMED) 2014 paper: BM3A.40

73. Nemani, A.; Intes, X.; De, S., “ Monte Carlo Based Simulation of Sensitivity Curvature for Evaluating Optimal Probe Geometry,” Biomedical Optics (BIOMED) 2014 paper: BM3A.36

72. Pian, Q.; Zhao, L.; Yao, R.; Intes, X., “ Time-resolved Hyperspectral Diffuse Optical Tomography: proof of concept,” Biomedical Optics (BIOMED) 2014 paper: BM3A.35

71. Ozturk, M.; Intes, X., “ Photodynamic Therapy Agent Bio-distribution in 3D with Mesoscopic Fluorescence Molecular Tomography,” Biomedical Optics (BIOMED) 2014 paper: BM3A.38

70. Zhao, L.; Yang, H.; Cong, W.; Wang, G.; Intes, X., “ Compressive Sensing for Early Time-gate Reconstruction in Time-domain Fluorescence Molecular Tomography,” Biomedical Optics (BIOMED) 2014 paper: BM3A.37

69. Sinsuebphon, N.; Bevington, T.; Zhao, L.; Ken, A.; Barroso, M.; Intes, X., “ Comparison of Near-Infrared Fluorophore Pairs for Lifetime-Based FRET Imaging,” Biomedical Optics (BIOMED) 2014 paper: BM3A.39

68. Yang, F.; Intes, X., “ High Resolution Fluorescence Laminar Optical Tomography Based on lp-Norm Regularization,” Biomedical Optics (BIOMED) 2014 paper: BM3A.41

67. Zhao, L.; Rajoria, S.; Barroso, M.; Intes, X., “ Active Wide-field Illumination For In Vitro, Ex Vivo and In Vivo NIR FRET Imaging,” Biomedical Optics (BIOMED) 2014 paper: BW3B.5

66. Yang F.; Ozturk, M.S.; Cong W.; Wang G.; Intes, X., “ High resolution 3D image reconstruction in laminar optical tomography based on compressive sensing,” Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 8937, p 89370R (5 pp.), (2014).

65. Sinsuebphon, N.; Bevington, T.; Lingling Zhao; Ken, A.; Barroso, M.; Intes, X. “ Comparison of NIR FRET pairs for quantitative transferrin-based assay,” Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 8937, p 89370X (7 pp.), (2014).

64. Zhao L.; Yang H.; Cong W.; Wang G.; Intes, X. “ Comparison of lp-regularization-based reconstruction methods for time domain fluorescence molecular tomography on early time gates,” Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 8937, p 89370V (6 pp.), (2014).

63. Pian Q.; Intes, X. “ Structured light based hyperspectral time-resolved diffuse optical tomography system Source,” Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 8937, p 89370T (6 pp.), (2014).

62. Edmans, A.; Smith, C.; Intes, X. “ Mesh optimization for fluorescence molecular tomography,” Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 8937, p 89370S (7 pp.), (2014).

61. Long F.; Ozturk, M.S.; Intes, X.; Kotha, S. “ Dental imaging using laminar optical tomography and micro CT, ” Proceedings of the SPIE - Progress in Biomedical Optics and Imaging, v 8937, p 89370P (6 pp.), (2014).

2013

60. Hyman, A.; Zhao, L.; Intes, X. “ Multi-modal Imaging Cassette for Small Animal Molecular Imaging,” 9th Annual Northeast Bioengineering Conference (NEBEC 2013), p 167-8 (2013).

59. Ozturk, M.S.; Lee, V.K.; Zhao L.; Guohao Dai; Intes, X. “ Laminar Optical Tomography Applied to Reporter Genes Imaging in Engineered Tissue Constructs,” 39th Annual Northeast Bioengineering Conference (NEBEC 2013), p 129-30 (2013).

58. Zhao, L.; Abe, K.; Barroso, M.; Intes, X. “ Enhanced dynamic range and accuracy of fluorescence lifetime imaging by active illumination, ” 39th Annual Northeast Bioengineering Conference (NEBEC 2013), p 151-2 (2013).

57. Pian, Q.; Zhao, L.; Intes, X. “ Time-Resolved Multispectral Diffuse Optical Tomography System Based on Structured Illumination and Detection,” 39th Annual Northeast Bioengineering Conference (NEBEC 2013), p 169-70 (2013).

56. Zhao, L.; Abe, K.; Barroso, M.; Intes, X. “ In vivo time-resolved fluorescence imaging of a NIR FRET probe in live mice,” 39th Annual Northeast Bioengineering Conference (NEBEC 2013), p 133-4 (2013).

55. Omer, T.; Sinsuebphon, N.; Intes, X.; Hahn, J. “ Selection of Temporal Gates for Bi-Exponential Fluorescence Lifetime Imaging,” 39th Annual Northeast Bioengineering Conference (NEBEC 2013), p 11-12 (2013).

54. Venugopal, V.; Jin Chen; Intes, X. “ Robust imaging strategies in time-resolved optical tomography,” SPIE, v 8578, p 857827 (8 pp.) (2013).

2011

53. Chen, J.; Intes, X, “Mesh-based Monte Carlo method for time-gated optical tomography,” 37th Annual Northeast Bioengineering Conference, p 2 pp., (2011).

52. Venugopal, V.; Chen, J.; Barroso, M; Intes, X, “In vivo reconstruction of NIR FRET using full-field time resolved optical tomography,” 37th Annual Northeast Bioengineering Conference, p 2 pp. (2011).

51. Nesbitt, R.S.; Macione, J.J.; Wentzell, S.; Corr, D.T.; Intes, X.; Kotha, S.P., “Mapping of Strains In Bundles Of Skin Collagen Microfibrils,” 37th Annual Northeast Bioengineering Conference, p 2 pp., (2011).

50. Zhao, L.; Lee, V.; Dai, G.; Intes, X., “Mesoscopic fluorescence molecular imaging of tissue engineered vascular construct,” 37th Annual Northeast Bioengineering Conference, p 2 pp., (2011).

49. Venugopal, V.; Chen, J.; Intes, X., “Adaptive correction of dynamic range in small animal wide-field fluorescence tomography,” 37th Annual Northeast Bioengineering Conference, p 2 pp., (2011).

48. Pimpalkhare, M.; Venugopal, V.; Chen, J.; Intes, X., “Anatomical segmentation for guided Fluorescence Molecular Tomography in small animals,” 37th Annual Northeast Bioengineering Conference, p 2 pp., (2011).

2010

47. Venugopal, V.; Chen J; Intes, X., “On the use of wide-field light patterns for small animal optical molecular imaging,” 36th Annual Northeast Bioengineering Conference, p 2 pp., (2010)

46. Chen J; Venugopal, V.; Intes, X., “Time gated optical imaging for functional and structural imaging,” 36th Annual Northeast Bioengineering Conference, p 2 pp., (2010)

2009

45. Venugopal, V.; Jin Chen; Intes, X., “Quantifying optical properties in small animals using MR-guided multispectral time-resolved imaging, “Proceedings of the SPIE Vol 7171, 717114 (8 pp.) (2009)

44. Tasimi, K.; Intes, X.; Roysam, B., “Unmixing multiple markers with spectral lifetime measurements,” Proceedings of the SPIE Vol 7171, p 717112 (7 pp.) (2009)

43. Chen J; Venugopal, V.; Intes, X., “Diffuse optical tomography with time-gated perturbation Monte Carlo method,” Proceedings of the SPIE Vol 7171, p 717113 (9 pp.) (2009)

2007

42. Guven, M; Yazici, B; Giladi, E; Intes, X, “Adaptive mesh generation for diffuse optical tomography,” 4th IEEE International Symposium on Biomedical Imaging - Macro to Nano Vols 1-3: 1380-1383 (2007)

41. Sunar, U; Ghoroghchian, PP; Intes, X; Therien, MJ; Hammer, DA; Yodh, AG, “Pharmacokinetic assessment of a polymersome-based molecular beacon by in vivo fluorescence monitoring,” Proceedings of the SPIE - Optical Tomography and Spectroscopy of Tissue VII, 6434: I4342-I4342 (2007)

2006

40. Alacam, B; Yazici, B; Intes, X; Nioka, S; Chance, B, “Spatially resolved pharmacokinetic rate images of ICG using near infrared optical methods,” Proceedings of the SPIE - Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IV, 6088: N881-N881 (2006)

39. Busch, DR; Zhao, ZY; Nioka, S; Yodh, AG; Schnall, M; Chance, B; Intes, X, “Fast CW imager for ICG and Gd kinetics,” Proceedings of the SPIE - Multimodal Biomedical Imaging, 6081: R810-R810 (2006)

38. Guven, M; Yazici, B; Intes, X; Chance, B, “Hierarchical Bayesian algorithm for diffuse optical tomography,” 34th Applied Imagery and Pattern Recognition Workshop-MultiModal Imaging 140-145 (2006)

37. Alacam, B.; Yazici, B.; Serdaroglu, A.; Intes, X.; Chance, B.; Nioka, S., “Reconstruction of spatially resolved pharmacokinetic rate images of fluorescence agents in FDOT,” Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society p 4 pp. (2006)

36. Guven, M; Yazici, B; Kwon, K; Giladi, E; Intes, X, “Discretization error based mesh generation for diffuse optical tomography,” 34th Applied Imagery and Pattern Recognition Workshop – MultiModal Imaging 146-151 (2006)

2005

35. Nioka, S; Wen, S; Zhang, J; Du, J; Intes, X; Zhao, ZY; Chance, B, “Simulation study of breast tissue hemodynamics during pressure perturbation,” 31st Annual Meeting of the International-Society-on-Oxygen-Transport-to-Tissue 566: 17-22 (2005)

34. Alacam, B; Yazici, B; Intes, X; Chance, B, “Extended kalman filtering for the modeling and analysis of ICG pharmacokinetics using NIR optical methods,” Proceedings of the SPIE-Optical Tomography and Spectroscopy of Tissue VI, 5693: 17-27 (2005)

33. Alacam, B; Yazici, B; Intes, X; Chance, B, “Analysis of ICG pharmacokinetics in cancerous tumors using NIR optical methods,” 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-7: 62-65 (2005)

2004

32. Chen, Y; Zheng, G; Zhang, ZH; Blessington, D; Intes, X; Achilefu, S; Chance, B, “Imaging of tumor hyper-metabolism with near-infrared fluorescence contrast agents,” Proceedings of the SPIE-Optical Technologies in Biophysics and Medicine V 5474: 147-153 (2004)

31. Son, IY; Guven, M; Yazici, B; Intes, X, “A 2-level domain decomposition algorithm for inverse diffuse optical tomography,” International Conference on Image Processing (ICIP), Vols 1- 5: 3315-3318 (2004)

30. Intes, X; Djeziri, S; Ichalalene, Z; Mincu, N; Wang, Y, “Time-domain optical mammography softscan (R) : Initial results on detection and characterization of breast tumors,” Proceedings of the SPIE-Photonics North 5578: 188-197 Part 1-2 (2004)

29. Lam, S; Lesage, F; Intes, X, “Time domain fluorescent diffuse optical tomography,” Proceedings of the SPIE-Photonics North 5578: 179-187 Part 1-2 (2004)

2003

28. Zhang, J; Tu, T; Sunar, U; Intes, X; Nioka, S; Zhang, ZH; Kilger, A; Lustig, R; Loevner, L; Chance, B, “Application of I&Q Detection system in scouting the curative effect of neck squamous cell carcinoma,” Proceedings of the SPIE-Optical Tomography and Spectrosopy of Tissue V 4955: 575-580 (2003)

27. Guven, M; Yazici, B; Intes, X; Chance, B, “Diffuse optical tomography with a priori anatomical information,” Proceedings of the SPIE-Optical Tomography and Spectrosopy of Tissue V 4955: 634-646 (2003)

26. Guven, M; Yazici, B; Intes, X; Chance, B, “Three-dimensional diffuse optical tomography with a priori anatomical information,” Proceedings of the SPIE-Photon Migration and Diffuse-Light Imaging 5138: 268-280 (2003)

25. Huang, P; Intes, X; Chance, B; Nioka, S, “Simulation of delivery of indocynanine green injected intravenously into the human subject for breast cancer detection,” Proceedings of the SPIE-Lasers in Surgery-Advanced Characterization, Therapeutics and Systems XIII 4949: 450-459 (2003)

24. Guven, M; Yazici, B; Intes, X; Chance, B, “An adaptive V-grid algorithm for diffuse optical tomography,” IEEE 29th Annual Northeast Bioengineering Conference 95-97 (2003)

23. Guven, M; Yazici, B; Intes, X; Chance, B, “An adaptive multigrid algorithm for region of interest diffuse optical tomography,” IEEE International Conference on Image Processing Vol 2, 823-826 (2003)

22. Chen, Y; Blessington, D; Zhang, ZH; Liu, Q; Zhou, LL; Mu, CP; Intes, X; Achilefu, S; Li, H; Zhang, M; Zheng, G; Chance, B, “Determination of subsurface tumor localization in animal models with near-infrared (NIR) fluorescence imaging,” Proceedings of the SPIE-Optical Tomography and Spectrosopy of Tissue V 4955: 322-329 (2003)

21. Chen, Y; Intes, X; Tailor, DR; Regatte, RR; Ma, H; Ntziachristos, V; Leigh, JS; Reddy, R; Chance, B, “Probing rat brain oxygenation with near-infrared spectroscopy (NIRS) and magnetic resonance imaging (MRI),” 29th Annual General Meeting of the International-Society-for-Oxygen-Transport-to-Tissue 510: 199-204 (2003)

20. Chen, Y; Liu, Q; Huang, P; Hyman, S; Intes, X; Lee, W; Chance, B, “Assessment of tumor angiogenesis using fluorescence contrast agents,” Proceedings of the SPIE-3rd International Conference on Photonics and Imaging in Biology and Medicine 5254: 296-301 (2003)

2002

19. Intes, X; Yu, JS; Yodh, AG; Chance, B, “Development and evaluation of a multi wavelength multi-channel time resolved optical instrument for NIR/MRI mammography co-registration,” : IEEE 28th Annual Northeast Bioengineering Conference 91-92 (2002)

18. Chen, Y; Mu, CP; Intes, X; Chance, B, “Diffuse optical tomography using dual-interfering-source,” Proceedings of the SPIE-International Workshop on Photonics and Imaging in Biology and Medicine 3 (26): 253-260 (2002)

17. Guven, M; Yazici, B; Intes, X; Chance, B; Zheng, Y, “Recursive least squares algorithm for optical diffusion tomography,” IEEE 28th Annual Northeast Bioengineering Conference 273-274 (2002)

16. Mu, CP; Chen, Y; Intes, X; Chance, B; Luo, QM, “Electro-optical scanning null-line improving detection sensitivity of phased array system,” IEEE 28th Annual Northeast Bioengineering Conference 75-76 (2002)

15. Chen, Y; Mu, CP; Intes, X; Nioka, S; Chance, B, “Fast imaging of fluorescence labeled tumor,” IEEE 28th Annual Northeast Bioengineering Conference 77-78 (2002)

14. Intes, X; Ripoll, J; Chen, Y; Nioka, S; Yodh, AG; Chance, B, “Diffuse optical tomography of breast with non-specific contrast agent,” IEEE 28th Annual Northeast Bioengineering Conference 87-88 (2002)

13. Yu, JS; Intes, X; Luo, QM; Chance, B, “Recovery of optical parameters in diffusive media with gated-photon counting,” IEEE 28th Annual Northeast Bioengineering Conference 89-90 (2002)

12. Intes, X; Ntziachristos, V; Yodh, A; Chance, B, “Combining various projection access schemes with the algebraic reconstruction technique for Diffuse Optical Tomography,” Proceedings of the SPIE - International Workshop on Photonics and Imaging in Biology and Medicine 3 (26): 108-118 (2002)

11. Huang, P; Intes, X; Nioka, S; Kitai, T; Chance, B, “Method and application for imaging of breast cancer using a contrast agent,” Proceedings of the SPIE - International Workshop on Photonics and Imaging in Biology and Medicine 3 (26): 194-202 (2002)

10. Chen, Y; Zhou, LL; Mu, CP; Intes, X; Achilefu, S; Chance, B, “Phase cancellation system for tumor imaging using targeted fluorescent contrast agents,” Proceedings of the SPIE-Photonics Asia Symposium 4916: 22-29 (2002)

9. Yu, C; Mu, C; Intes, X; Chance, B; “Adaptive calibration for object localization in turbid media with interfering diffuse photon density waves,” Proceedings of the SPIE,4916: 22-29 (2002)

8. Chance, B; Chen, Y; Intes, X; Zhang, J; Glickson, J; Blessington, D; Zhou, L; Zheng, G; Lu, P; Achilefu, S; Tung, C, “Breast cancer detection by phased array localization of fluorescent molecular beacons,” Proceedings of the SPIE-Optical Technologies in Biophysics and Medicine IV 5068: 493-509 (2002)

2001

7. Chen, Y; Intes, X; Zhou, SM; Mu, CP; Holboke, M; Yodh, AG; Chance, B, “Detection sensitivity and optimization of phased array system,” Proceedings of the SPIE - Optical Tomography and Spectroscopy of Tissue IV 2 (7): 211-218 (2001)

6. Intes, X; Ntziachristos, V; Yodh, AG; Chance, B, “Imaging with dual-interfering sources,” Proceedings of the SPIE-Optical Tomography and Spectroscopy of Tissue IV 2 (7): 68-75 (2001)

5. Intes, X; Chen, Y; Li, XD; Chance, B, “Fluorescent heterogeneities in turbid media: Limits for detection with dual-interfering sources excitation,” 23rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society 23: 3139-3142 Part 1-4 (2001)

2000

4. Intes, X; Kang, KA; Holboke, M; Yodh, A; Chance, B, “Dual-interfering sources with a fluorescent object,” Proceedings of the SPIE-Photon Migration, Diffuse Spectroscopy, and Optical Coherence Tomography 1 (31): 140-142 (2000)

3. Intes, X; Ntziachristos, V; Holboke, M; Yodh, A; Chance, B, “On the spatial resolution of diffuse optical tomography,” Biomedical Topical Meeting, Technical Digest, 38: 481-483 (2000)

1999

2. Intes, X; Le Jeune, B; Pellen, F; Guern, Y; Cariou, J; Lotrian, J, “Localisation of the virtual point source used in the diffusion approximation to model collimated beam source,” Proceedings of the SPIE-Optical Tomography and Spectroscopy of Tissue III 3597: 183-199 (1999)

1998

1. Pellen, F; Intes, X; Guern, Y; Cariou, J; Lotrian, J, “Picosecond optical pulse backscattering measurement: Determination of ocean water transfer function,” IEEE OCEANS Conference and Exhibition on Engineering for Sustainable Use of the Oceans (OCEANS 98) Vols 1-3: 1436-1438 (1998)