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Cited by in CrossRef
For: Lee K. Optical mammography: Diffuse optical imaging of breast cancer. World J Clin Oncol 2011; 2(1): 64-72 [PMID: 21603315 DOI: 10.5306/wjco.v2.i1.64]
URL: https://www.wjgnet.com/2218-4333/full/v2/i1/64.htm
Number Citing Articles
1
Uttam M. Pal, Mansi Saxena, G. K. Anil Vishnu, Darshan Parsana, B. S. R. Sarvani, Manoj Varma, Mahesh Jayachandra, Vishnu Kurpad, Deb Baruah, Gayatri Gogoi, Jayant S. Vaidya, Hardik J. Pandya. Optical spectroscopy-based imaging techniques for the diagnosis of breast cancer: A novel approachApplied Spectroscopy Reviews 2020; 55(8): 778 doi: 10.1080/05704928.2020.1749651
2
Doaa Youssef, Tawfik Ismail, Somia A.M. Soliman, Jala El-Azab. A Pilot Study Using Biospeckle Photography for Optical Breast Cancer Screening2023 23rd International Conference on Transparent Optical Networks (ICTON) 2023; : 1 doi: 10.1109/ICTON59386.2023.10207319
3
Michael G. Sowa, Jeri R. Friesen. Encyclopedia of Analytical Chemistry2000;  doi: 10.1002/9780470027318.a0113.pub2
4
L. C. Enfield, G. Cantanhede, D. Westbroek, M. Douek, A. D. Purushotham, J. C. Hebden, A. P. Gibson. Monitoring the Response to Primary Medical Therapy for Breast Cancer Using Three-Dimensional Time-Resolved Optical MammographyTechnology in Cancer Research & Treatment 2011; 10(6): 533 doi: 10.1177/153303461101000604
5
Young-Sik Jun, Woon-Sik Baek. Implementation of Multi-channel Concurrent Detection Homodyne Frequency-domain Diffuse Optical Imaging SystemKorean Journal of Optics and Photonics 2012; 23(1): 23 doi: 10.3807/KJOP.2012.23.1.023
6
Shimaa Mahdy, Omnia Hamdy, Mohamed A.A. Eldosoky, Mohammed A. Hassan. Influence of Tumor Volume on the Fluence Rate Within Human Breast Model Using Continuous-Wave Diffuse Optical Imaging: A Simulation StudyPhotobiomodulation, Photomedicine, and Laser Surgery 2023; 41(3): 125 doi: 10.1089/photob.2022.0100
7
Daniel J. Rohrbach, Kassem Harris, Jeremy Kress, Ulas Sunar. Characterization of lung lesions using diffuse optical spectroscopy: preliminary resultsBiomedical Optics 2016 2016; : JTu3A.36 doi: 10.1364/CANCER.2016.JTu3A.36
8
Niusha Kheirkhah, Anat Kornecki, Gregory J. Czarnota, Abbas Samani, Ali Sadeghi-Naini. Enhanced full-inversion-based ultrasound elastography for evaluating tumor response to neoadjuvant chemotherapy in patients with locally advanced breast cancerPhysica Medica 2023; 112: 102619 doi: 10.1016/j.ejmp.2023.102619
9
Omnia Hamdy, Mahmoud F. Hassan, Nahed H. Solouma, Nahed H. Solouma, Qiang Cheng. Diffuse Optical Imaging: Safe and Functional Medical Imaging TechniqueJournal of Public Health International 2018; 1(2): 1 doi: 10.14302/issn.2641-4538.jphi-18-2190
10
Shimaa Mahdy, Omnia Hamdy, Mohammed A. Hassan, Mohamed A. A. Eldosoky. A modified source-detector configuration for the discrimination between normal and diseased human breast based on the continuous-wave diffuse optical imaging approach: a simulation studyLasers in Medical Science 2022; 37(3): 1855 doi: 10.1007/s10103-021-03440-9
11
Mohamed Askoura, Fabrice Vaudelle, Jean-Pierre L’Huillier. Numerical Study of Light Transport in Apple Models Based on Monte Carlo SimulationsPhotonics 2015; 3(1): 2 doi: 10.3390/photonics3010002
12
Qingming Luo, Xingde Li, Ying Gu, Yuguo Tang, Xue Yang, Gang Li, Ling Lin. Assessment of spatial information for hyperspectral imaging of lesion Optics in Health Care and Biomedical Optics VII 2016; 10024: 100242O doi: 10.1117/12.2245874
13
Omnia Hamdy, Haitham S. Mohammed, Yuan-Fong Chou Chau. Variations in tissue optical parameters with the incident power of an infrared laserPLOS ONE 2022; 17(1): e0263164 doi: 10.1371/journal.pone.0263164
14
Maryam Momtahen, Shadi Momtahen, Ramani Remaseshan, Farid Golnaraghi. Early Detection of Breast Cancer using Diffuse Optical Probe and Ensemble Learning Method2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) 2023; : 139 doi: 10.1109/NEMO56117.2023.10202520
15
Ulas Sunar, Daniel J. Rohrbach. Handbook of Photonics for Biomedical Engineering2017; : 179 doi: 10.1007/978-94-007-5052-4_26
16
Daniel Milej, Androu Abdalmalak, Dariusz Janusek, Mamadou Diop, Adam Liebert, Keith St. Lawrence. Time-resolved subtraction method for measuring optical properties of turbid mediaApplied Optics 2016; 55(7): 1507 doi: 10.1364/AO.55.001507
17
Omnia Hamdy, Doaa Youssef, Jala El-Azab, Nahed H. Soluma. Detection of Breast Diseases using Numerical Study of Light Propagation2018 9th Cairo International Biomedical Engineering Conference (CIBEC) 2018; : 53 doi: 10.1109/CIBEC.2018.8641819
18
Ulas Sunar, Daniel J. Rohrbach. Handbook of Photonics for Biomedical Engineering2014; : 1 doi: 10.1007/978-94-007-6174-2_26-1
19
Josué D. Rivera-Fernández, Karen Roa-Tort, Suren Stolik, Alma Valor, Diego A. Fabila-Bustos, Gabriela de la Rosa, Macaria Hernández-Chávez, José M. de la Rosa-Vázquez. Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer DiagnosisSensors 2023; 23(9): 4390 doi: 10.3390/s23094390
20
Carolina Blanco-Angulo, Andrea Martínez-Lozano, Roberto Gutiérrez-Mazón, Carlos G. Juan, Héctor García-Martínez, Julia Arias-Rodríguez, José M. Sabater-Navarro, Ernesto Ávila-Navarro. Non-Invasive Microwave-Based Imaging System for Early Detection of Breast TumoursBiosensors 2022; 12(9): 752 doi: 10.3390/bios12090752
21
Haixian Zhang, Dongjing Qin, Zhi Yang, Kun Wang, Fang Sun, Baowei Li, Guanghe Cui. Comparison of Diffuse Optical Tomography, Ultrasound Elastography and Mammography in the Diagnosis of Breast TumorsUltrasound in Medicine & Biology 2014; 40(1): 1 doi: 10.1016/j.ultrasmedbio.2013.09.008
22
Ying-hua Yu, Xiao Zhu, Qin-guo Mo, Ying Cui. Prediction of neoadjuvant chemotherapy response using diffuse optical spectroscopy in breast cancerClinical and Translational Oncology 2018; 20(4): 524 doi: 10.1007/s12094-017-1745-8
23
Rodrigo Dalvit C. Silva, Thomas R. Jenkyn. Classification of Mammogram Abnormalities Using Legendre MomentsInternational Journal of Image and Graphics 2021; 21(01): 2150010 doi: 10.1142/S0219467821500108
24
Yongyi Zhao, Ankit Raghuram, Fay Wang, Stephen Hyunkeol Kim, Andreas Hielscher, Jacob T. Robinson, Ashok Veeraraghavan. Unrolled-DOT: an interpretable deep network for diffuse optical tomographyJournal of Biomedical Optics 2023; 28(03) doi: 10.1117/1.JBO.28.3.036002
25
Randall L. Barbour, Harry L. Graber, San-Lian S. Barbour, Alvaro Galli. Hemoglobin state-flux: A finite-state model representation of the hemoglobin signal for evaluation of the resting state and the influence of diseasePLOS ONE 2018; 13(6): e0198210 doi: 10.1371/journal.pone.0198210
26
Avishai Aizert, Tomer Moshe, David Abookasis. Application of shift-and-add algorithms for imaging objects within biological mediaOptics Communications 2017; 382: 485 doi: 10.1016/j.optcom.2016.08.032
27
Tao Wu, Jin‐Chun Feng, Shabier Tuerhong, Bin Wang, Liang Yang, Qian Zhao, Jinsihan Dilixiati, Wen‐Ting Xu, Li‐Ping Zhu. Ultrasound‐Guided Diffuse Optical Tomography for Differentiation of Benign and Malignant Breast Lesions: A Meta‐analysisJournal of Ultrasound in Medicine 2017; 36(3): 485 doi: 10.7863/ultra.16.03063
28
Niels J. Harlaar, Gooitzen M. van Dam, Vasilis Ntziachristos. Intraoperative Imaging and Image-Guided Therapy2014; : 233 doi: 10.1007/978-1-4614-7657-3_16
29
Shadi Momtahen, Maryam Momtahen, Ramani Ramaseshan, Farid Golnaraghi. A Machine Learning Approach: NIR Scattering Data Analysis for Breast Cancer Detection and Classification2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON) 2022; : 1 doi: 10.1109/ONCON56984.2022.10127055