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2020 – today
- 2024
[j45]Manali Saini, Humayra Afrin, Setayesh Sotoudehnia
, Mostafa Fatemi, Azra Alizad:
DMAeEDNet: Dense Multiplicative Attention Enhanced Encoder Decoder Network for Ultrasound-Based Automated Breast Lesion Segmentation. IEEE Access 12: 60541-60555 (2024)- [j44]Pradeep Kumar Chaudhary, Juanjuan Gu, David P. Rosen, Nicholas B. Larson, Jane E. Brumbaugh, Mostafa Fatemi, Azra Alizad:
Pulsed Vibro-Acoustic Analysis Technique for Monitoring Bone Health in Preterm Infants: A Pilot Study. IEEE Access 12: 106707-106719 (2024) - [j43]Soroosh Sabeti, Mostafa Fatemi, Azra Alizad:
Background Noise Removal in Non-Contrast- Enhanced Ultrasound Microvasculature Imaging Using Combined Collaborative, Morphological, and Vesselness Filtering. IEEE Access 12: 116150-116161 (2024) - [j42]Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri:
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers Artif. Intell. 7 (2024) - [j41]Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, Suneet K. Gupta, Mrinalini Bhagawati, Sudip Paul, Luca Saba, Neha Suri, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu, Jasjit S. Suri:
Artificial intelligence bias in medical system designs: a systematic review. Multim. Tools Appl. 83(6): 18005-18057 (2024) - [j40]David P. Rosen, Rohit Nayak, Yuqi Wang, Daniel I. Gendin, Nicholas B. Larson, Robert T. Fazzio, Assad A. Oberai, Timothy J. Hall, Paul E. Barbone, Azra Alizad, Mostafa Fatemi:
A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization. IEEE Trans. Biomed. Eng. 71(1): 367-374 (2024) - 2023
- [j39]Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu:
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. IEEE Access 11: 595-645 (2023) - [j38]Rohit Nayak, Jeyeon Lee, Setayesh Sotoudehnia, Su-Youne Chang, Mostafa Fatemi, Azra Alizad:
Mapping Pharmacologically Evoked Neurovascular Activation and Its Suppression in a Rat Model of Tremor Using Functional Ultrasound: A Feasibility Study. Sensors 23(15): 6902 (2023) - 2022
- [j37]Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri:
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Comput. Biol. Medicine 146: 105571 (2022) - [j36]David P. Rosen, Nicholas B. Larson, Azra Alizad, Mostafa Fatemi:
Non-Invasive Measurement of the Internal Pressure of a Pressurized Biological Compartment Using Lamb Waves. IEEE Trans. Biomed. Eng. 69(6): 1860-1869 (2022) - [j35]Sua Bae, Bae-Hyung Kim, Azra Alizad, Mostafa Fatemi, Tai-Kyong Song:
Experimental Study of Aperiodic Plane Wave Imaging for Ultrafast 3-D Ultrasound Imaging. IEEE Trans. Biomed. Eng. 69(8): 2679-2690 (2022) - [i2]Hongmei Zhang, Kai Wang, Yan Zhou, Shadab Momin, Xiaofeng Yang, Mostafa Fatemi, Michael F. Insana:
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging. CoRR abs/2204.01844 (2022) - 2021
- [j34]Jeremy M. Webb, Duane D. Meixner, Shaheeda A. Adusei, Eric C. Polley, Mostafa Fatemi, Azra Alizad:
Automatic Deep Learning Semantic Segmentation of Ultrasound Thyroid Cineclips Using Recurrent Fully Convolutional Networks. IEEE Access 9: 5119-5127 (2021) - [j33]Luca Saba, Mohit Agarwal, Anubhav Patrick, Anudeep Puvvula, Suneet K. Gupta, Alessandro Carriero, John R. Laird, George D. Kitas, Amer M. Johri, Antonella Balestrieri, Zeno Falaschi, Alessio Pasche, Vijay Viswanathan, Ayman El-Baz, Iqbal Alam, Abhinav Jain, D. Subbaram Naidu, Ronald Oberleitner, Narendra N. Khanna, Arindam Bit, Mostafa Fatemi, Azra Alizad, Jasjit S. Suri:
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. Int. J. Comput. Assist. Radiol. Surg. 16(3): 423-434 (2021) - [j32]Jeremy M. Webb, Shaheeda A. Adusei, Yinong Wang, Naziya Samreen, Kalie Adler, Duane D. Meixner, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad:
Comparing deep learning-based automatic segmentation of breast masses to expert interobserver variability in ultrasound imaging. Comput. Biol. Medicine 139: 104966 (2021) - [j31]Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri, Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu:
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE J. Biomed. Health Informatics 25(11): 4128-4139 (2021) - [j30]Daniel I. Gendin, Rohit Nayak, Yuqi Wang, Mahdi Bayat, Robert T. Fazzio, Assad A. Oberai, Timothy J. Hall, Paul E. Barbone, Azra Alizad, Mostafa Fatemi:
Repeatability of Linear and Nonlinear Elastic Modulus Maps From Repeat Scans in the Breast. IEEE Trans. Medical Imaging 40(2): 748-757 (2021) - [j29]Redouane Ternifi, Yinong Wang, Eric C. Polley, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad:
Quantitative Biomarkers for Cancer Detection Using Contrast-Free Ultrasound High-Definition Microvessel Imaging: Fractal Dimension, Murray's Deviation, Bifurcation Angle & Spatial Vascularity Pattern. IEEE Trans. Medical Imaging 40(12): 3891-3900 (2021) - 2020
- [j28]Siavash Ghavami, Mahdi Bayat, Mostafa Fatemi, Azra Alizad:
Quantification of Morphological Features in Non-Contrast-Enhanced Ultrasound Microvasculature Imaging. IEEE Access 8: 18925-18937 (2020) - [j27]Viksit Kumar, Jeremy M. Webb, Adriana Gregory, Duane D. Meixner, John M. Knudsen, Matthew R. Callstrom, Mostafa Fatemi, Azra Alizad:
Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning. IEEE Access 8: 63482-63496 (2020) - [j26]Viksit Kumar, Po-Yang Lee, Bae-Hyung Kim, Mostafa Fatemi, Azra Alizad:
Gap-Filling Method for Suppressing Grating Lobes in Ultrasound Imaging: Experimental Study With Deep-Learning Approach. IEEE Access 8: 76276-76286 (2020) - [j25]Zeynettin Akkus, Bae-Hyung Kim, Rohit Nayak, Adriana Gregory, Azra Alizad, Mostafa Fatemi:
Fully Automated Segmentation of Bladder Sac and Measurement of Detrusor Wall Thickness from Transabdominal Ultrasound Images. Sensors 20(15): 4175 (2020)
2010 – 2019
- 2019
- [j24]Saba Adabi, Siavash Ghavami, Mostafa Fatemi, Azra Alizad:
Non-Local Based Denoising Framework for In Vivo Contrast-Free Ultrasound Microvessel Imaging. Sensors 19(2): 245 (2019) - [j23]Siavash Ghavami, Adriana Gregory, Jeremy M. Webb, Mahdi Bayat, Max Denis, Viksit Kumar, Todd A. Milbrand, A. Noelle Larson, Mostafa Fatemi, Azra Alizad:
Ultrasound Radiation Force for the Assessment of Bone Fracture Healing in Children: An In Vivo Pilot Study. Sensors 19(4): 955 (2019) - [j22]Mahdi Bayat, Mostafa Fatemi, Azra Alizad:
Background Removal and Vessel Filtering of Noncontrast Ultrasound Images of Microvasculature. IEEE Trans. Biomed. Eng. 66(3): 831-842 (2019) - [j21]Viksit Kumar, Minako Katayama, Rachael Peavler, Azra Alizad, Marek Belohlavek, Mostafa Fatemi:
Real-Time Visualization of an Acoustically Active Injection Catheter With Ultrasound Imaging: Algorithm and In Vivo Validation in a Swine Model. IEEE Trans. Biomed. Eng. 66(11): 3212-3219 (2019) - 2018
- [j20]Lulu Wang, Mostafa Fatemi:
Compressive Sensing Holographic Microwave Random Array Imaging of Dielectric Inclusion. IEEE Access 6: 56477-56487 (2018) - [j19]Viksit Kumar, Richard Liu, Randall R. Kinnick, Adriana Gregory, Azra Alizad, Marek Belohlavek, Mostafa Fatemi:
Unambiguous Identification and Visualization of an Acoustically Active Catheter by Ultrasound Imaging in Real Time: Theory, Algorithm, and Phantom Experiments. IEEE Trans. Biomed. Eng. 65(7): 1468-1475 (2018) - [j18]Mahdi Bayat, Alireza Nabavizadeh, Viksit Kumar, Adriana Gregory, Michael F. Insana, Azra Alizad, Mostafa Fatemi:
Automated In Vivo Sub-Hertz Analysis of Viscoelasticity (SAVE) for Evaluation of Breast Lesions. IEEE Trans. Biomed. Eng. 65(10): 2237-2247 (2018) - [c13]Mahdi Bayat, Mostafa Fatemi:
Concurrent Clutter and Noise Suppression via Low Rank Plus Sparse Optimization for Non-Contrast Ultrasound Flow Doppler Processing in Microvasculature. ICASSP 2018: 1080-1084 - [c12]Mahdi Bayat, Azra Alizad, Mostafa Fatemi:
Multi-rate higher order singular value decomposition for enhanced non-contrast ultrasound Doppler imaging of slow flow. ISBI 2018: 1178-1181 - 2017
- [j17]Alireza Nabavizadeh, Randall R. Kinnick, Mahdi Bayat, Carolina Amador, Matthew W. Urban, Azra Alizad, Mostafa Fatemi:
Automated Compression Device for Viscoelasticity Imaging. IEEE Trans. Biomed. Eng. 64(7): 1535-1546 (2017) - 2015
- [j16]Mohammad Mehrmohammadi, Pengfei Song, Duane D. Meixner, Robert T. Fazzio, Shigao Chen, James F. Greenleaf, Mostafa Fatemi, Azra Alizad:
Comb-Push Ultrasound Shear Elastography (CUSE) for Evaluation of Thyroid Nodules: Preliminary In Vivo Results. IEEE Trans. Medical Imaging 34(1): 97-106 (2015) - [c11]Adriana Gregory, Mahdi Bayat, Max Denis, Mohammad Mehrmohammadi, Mostafa Fatemi, Azra Alizad:
An experimental phantom study on the effect of calcifications on ultrasound shear wave elastography. EMBC 2015: 3843-3846 - 2014
- [j15]Azra Alizad, Mohammad Mehrmohammadi, Karthik Ghosh, Katrina N. Glazebrook, Rickey E. Carter, Leman Karaberkmez, Dana H. Whaley, Mostafa Fatemi:
Breast vibro-acoustography: initial experience in benign lesions. BMC Medical Imaging 14: 240 (2014) - 2013
- [j14]Azra Alizad, Matthew W. Urban, John C. Morris, Carl C. Reading, Randall R. Kinnick, James F. Greenleaf, Mostafa Fatemi:
In vivo thyroid vibro-acoustography: a pilot study. BMC Medical Imaging 13: 12 (2013) - [c10]Ivan Z. Nenadic, Mohammad Mehrmohammadi, Matthew W. Urban, Azra Alizad, James F. Greenleaf, Mostafa Fatemi:
In vivo patient measurements of bladder elasticity using Ultrasound Bladder Vibrometry (UBV). EMBC 2013: 113-116 - 2012
- [i1]Talita Perciano, Matthew W. Urban, Nelson D. A. Mascarenhas, Mostafa Fatemi, Alejandro César Frery, Glauber T. Silva:
Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function. CoRR abs/1207.3370 (2012) - 2011
- [j13]Farid G. Mitri, Matthew W. Urban, Mostafa Fatemi, James F. Greenleaf:
Shear Wave Dispersion Ultrasonic Vibrometry for Measuring Prostate Shear Stiffness and Viscosity: An In Vitro Pilot Study. IEEE Trans. Biomed. Eng. 58(2): 235-242 (2011) - [c9]Hermes A. S. Kamimura, Marden A. Fagundes, Mostafa Fatemi, Antonio A. O. Carneiro:
Vibro-acoustography and B-mode integration for 3D imaging. EMBC 2011: 421-424 - 2010
- [j12]Miguel A. Aguilo, Wilkins Aquino, John C. Brigham, Mostafa Fatemi:
An Inverse Problem Approach for Elasticity Imaging through Vibroacoustics. IEEE Trans. Medical Imaging 29(4): 1012-1021 (2010) - [j11]Miguel A. Aguilo, Wilkins Aquino, John C. Brigham, Mostafa Fatemi:
Correction to "An Inverse Problem Approach for Elasticity Imaging through Vibroacoustics". IEEE Trans. Medical Imaging 29(6): 1331 (2010)
2000 – 2009
- 2008
- [j10]Farid G. Mitri, Brian J. Davis, Azra Alizad, James F. Greenleaf, Torrence M. Wilson, Lance A. Mynderse, Mostafa Fatemi:
Prostate Cryotherapy Monitoring Using Vibroacoustography: Preliminary Results of an Ex Vivo Study and Technical Feasibility. IEEE Trans. Biomed. Eng. 55(11): 2584-2592 (2008) - 2007
- [j9]Hamid Gholam Hosseini, Azra Alizad, Mostafa Fatemi:
Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography. Int. J. Biomed. Imaging 2007: 40980:1-40980:8 (2007) - [j8]Xiaoming Zhang, M. Zeraati, Randall R. Kinnick, James F. Greenleaf, Mostafa Fatemi:
Vibration Mode Imaging. IEEE Trans. Medical Imaging 26(6): 843-852 (2007) - 2006
- [j7]Glauber T. Silva, Alejandro César Frery, Mostafa Fatemi:
Image formation in vibro-acoustography with depth-of-field effects. Comput. Medical Imaging Graph. 30(5): 321-327 (2006) - [j6]Matthew W. Urban, Glauber T. Silva, Mostafa Fatemi, James F. Greenleaf:
Multifrequency vibro-acoustography. IEEE Trans. Medical Imaging 25(10): 1284-1295 (2006) - [c8]Hamid Gholam Hosseini, Azra Alizad, Mostafa Fatemi:
Fusion of Vibro-acoustography Images and X-ray Mammography. EMBC 2006: 2803-2806 - 2005
- [j5]Farid G. Mitri, James F. Greenleaf, Mostafa Fatemi:
Chirp imaging vibro-acoustography for removing the ultrasound standing wave artifact. IEEE Trans. Medical Imaging 24(10): 1249-1255 (2005) - [c7]Azra Alizad, James F. Greenleaf, Mostafa Fatemi:
Image artifacts in vibroacoustography. SIP 2005: 570-572 - 2004
- [j4]Azra Alizad, Mostafa Fatemi, Lester E. Wold, James F. Greenleaf:
Performance of vibro-acoustography in detecting microcalcifications in excised human breast tissue: a study of 74 tissue samples. IEEE Trans. Medical Imaging 23(3): 307-312 (2004) - [j3]Azra Alizad, Lester E. Wold, James F. Greenleaf, Mostafa Fatemi:
Imaging mass lesions by vibro-acoustography: modeling and experiments. IEEE Trans. Medical Imaging 23(9): 1087-1093 (2004) - [c6]James F. Greenleaf, Mostafa Fatemi, Marek Belohlavek:
Ultrasound Stimulated Vibro-acoustography. ECCV Workshops CVAMIA and MMBIA 2004: 1-10 - [c5]Xiaoming Zhang, Mostafa Fatemi, James F. Greenleaf:
Frequency Dispersion of Wave Velocity in Arterial Vessels. ISBI 2004: 1347-1349 - [c4]Glauber T. Silva, Alejandro César Frery, Eliana S. de Almeida, Shigao Chen, Mostafa Fatemi, James F. Greenleaf:
Image Formation in Vibro-Acoustography with Sector Array Transducers. SIBGRAPI 2004: 25-32 - 2003
- [j2]Mostafa Fatemi, Armando Manduca, James F. Greenleaf:
Imaging elastic properties of biological tissues by low-frequency harmonic vibration. Proc. IEEE 91(10): 1503-1519 (2003) - 2002
- [j1]Mostafa Fatemi, Lester E. Wold, Azra Alizad, James F. Greenleaf:
Vibro-acoustic Tissue Mammography. IEEE Trans. Medical Imaging 21(1): 1-8 (2002) - [c3]Marek Belohlavek, T. Asanuma, T. Kierulf, Mostafa Fatemi, James F. Greenleaf:
Ultrasound propagation model for attenuation reduction and cardiac contrast perfusion visualization. ISBI 2002: 445-448 - [c2]Xiaoming Zhang, Mostafa Fatemi, James F. Greenleaf:
Vibro-acoustography for modal analysis of arterial vessels. ISBI 2002: 513-516 - 2001
- [c1]Mostafa Fatemi, James F. Greenleaf:
Medical Applications of Radiation Micro-Force (Invited Presentation). BIBE 2001: 262
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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