ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis
Reyna, M.A., Deepanshi, Weigle, J., Koscova, Z., Campbell, K., Kodthalu Shivashankara, K., Saghafi, S., Nikookar, S., Motie-Shirazi, M., Kiarashi, Y., Seyedi, S., Clifford, G.D. & Sameni, R. (2024).
arXiv
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Off-body Sleep Analysis for Predicting Adverse Behavior in Individuals with Autism Spectrum Disorder
Kiarashi, Y., Suresha, P.B., Rad, A.B., Reyna, M.A., Anderson, C., Foster, J., Lantz, J., Villavicencio, T., Hamlin, T. and Clifford, G.D.
IEEE Journal of Biomedical and Health Informatics
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Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset
Zandehshahvar, M., van Assen, M., Kim, E., Kiarashi, Y., Keerthipati, V., Tessarin, G., Muscogiuri, E., Stillman, A.E., Filev, P., Davarpanah, A.H. and Berkowitz, E.A.
Journal of Imaging Informatics in Medicine
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Feasibility of Assessing Cognitive Impairment via Distributed Camera Network and Privacy-Preserving Edge Computing
Hegde, C., Kiarashi, Y., Levey, A.I., Rodriguez, A.D., Kwon, H. and Clifford, G.D.
arXiv preprint arXiv:2408.10442
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New Machine Learning Paradigms for Knowledge Discovery and Inverse Design of Photonic Nanostructures
Adibi, A., Zandehshahvar, M., Hadighehjavani, M., Kiarashi, Y., Marzban, M. and Harandi, M.R.T.
In Image Sensing Technologies: Materials, Devices, Systems, and Applications XI (SPIE)
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Forecasting High-Risk Behavioral and Medical Events in Children with Autism through Analysis of Digital Behavioral Records
Kiarashi, Y., Lantz, J., Reyna, M.A., Anderson, C., Rad, A.B., Foster, J., Villavicencio, T., Hamlin, T. and Clifford, G.D.
medRxiv
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Indoor Group Identification and Localization Using Privacy-Preserving Edge Computing Distributed Camera Network
Hegde, C., Kiarashi, Y., Rodriguez, A.D., Levey, A.I., Doiron, M., Kwon, H. and Clifford, G.D.
IEEE Journal of Indoor and Seamless Positioning and Navigation
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Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology
Kiarashi, Y., Saghafi, S., Das, B., Hegde, C., Madala, V.S.K., Nakum, A., Singh, R., Tweedy, R., Doiron, M., Rodriguez, A.D., Levey, A.I.
Sensors, 23(23), p.9517
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A Feasibility Study on Indoor Localization and Multi-Person Tracking Using Sparsely Distributed Camera Network with Edge Computing
Kwon, H., Hegde, C., Kiarashi, Y., Madala, V.S.K., Singh, R., Nakum, A., Tweedy, R., Tonetto, L.M., Zimring, C.M., Doiron, M., Rodriguez, A.D.
IEEE Journal of Indoor and Seamless Positioning and Navigation
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Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody Physionet Challenge 2022
Reyna, M.A., Kiarashi, Y., Elola, A., Oliveira, J., Renna, F., Gu, A., Perez Alday, E.A., Sadr, N., Sharma, A., Kpodonu, J., Mattos, S.
PLOS Digital Health, 2(9), p.e0000324
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Optical Co-Processor Architecture Using Array of Weak Optical Perceptron
Kiarashinejad, Y. and Adibi, A., Georgia Tech Research Corp
U.S. Patent Application 17/919,051
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Indoor Localization Using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment
Kiarashi, Y., Hedge, C., Madala, V.S.K., Nakum, A., Singh, R., Tweedy, R., Clifford, G.D., Kwon, H.
arXiv preprint arXiv:2305.19342
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Bayesian Neural Networks for Severity Assessment of COVID-19 Pneumonia from Chest X-Ray Using a Multi-Reader and Binational Dataset
Zandehshahvar, M., van Assen, M., Kim, E.Y., Kiarashi, Y., Keerthipati, V., Stillman, A.E., Filev, P., Davarpanah, A.H., Berkowitz, E.A., Tigges, S., Lee, S.J.
In Medical Imaging 2023: Computer-Aided Diagnosis (SPIE, Vol. 12465, p. 124650G)
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Predictions of Nonlinear Generation from Dielectric Metasurfaces Using a Convolutional Neural Network
Zhu, M., Zandehshahvar, M., Kiarashinejad, Y., Abdollahramezani, S., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures XIII (SPIE, p. PC1243119)
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Metric Learning: A New Approach for Defining Similarity Measures for Nanophotonics
Zandehshahvar, M., Kiarashi, Y., Zhu, M., Bao, D., Javani, M.H., Pourabolghasem, R., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures XIII (SPIE, p. PC124310P)
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New Paradigms in Manifold Learning for Knowledge Discovery and Inverse Design of Photonic Nanostructures
Zandehshahvar, M., Javani, M.H., Kiarashi, Y., Zhu, M., Brown, T., Bao, D., Marzban, M., Pourabolghasem, R., Adibi, A.
In Quantum Sensing and Nano Electronics and Photonics XIX (SPIE, Vol. 12430, pp. 40-43)
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Metric Learning: Harnessing the Power of Machine Learning in Nanophotonics
Zandehshahvar, M., Kiarashi, Y., Zhu, M., Bao, D., H Javani, M., Pourabolghasem, R., Adibi, A.
Acs Photonics, 10(4), pp.900-909
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Geometric Learning-Based Method for Discovery of Optical Phenomena in Nanophotonic Structures
Kiarashinejad, Y., Zandehshahvar, M., Abdollahramezani, S., Hemmatyar, O., Adibi, A., Georgia Tech Research Corp
U.S. Patent Application 17/474,523
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COVID-19 Pneumonia Chest Radiographic Severity Score: Variability Assessment Among Experienced and In-Training Radiologists and Creation of a Multireader Composite Score Database for Artificial Intelligence Algorithm Development
Van Assen, M., Zandehshahvar, M., Maleki, H., Kiarashi, Y., Arleo, T., Stillman, A.E., Filev, P., Davarpanah, A.H., Berkowitz, E.A., Tigges, S., Lee, S.J.
The British Journal of Radiology, 95(1134), p.20211028
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Inverse Design of Nanophotonics Structures with Minimal Computation Using a Pruning Approach
Javani, M.H., Zandehshahvar, M., Zhu, M., Brown, T., Kiarashi, Y., Adibi, A.
In CLEO: QELS_Fundamental Science (Optica Publishing Group, JW3B-132)
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Efficient Artificial Intelligence Techniques for Inverse Design and Knowledge Discovery in Metamaterials
Zandehshahvar, M., Kiarashinejad, Y., Hadighe Javani, M., Zhu, M., Brown, T., Bao, D., Adibi, A.
The Journal of the Acoustical Society of America, 151(4_Supplement), pp.A254-A254
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Manifold Learning: A Promising Tool for Knowledge Discovery and Inverse Design in Nanophotonics
Zandehshahvar, M., Kiarashi, Y., Zhu, M., Brown, T., Javani, M.H., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures XII (SPIE, p. PC120100U)
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Machine Learning for Efficient Inverse Design of Nanophotonics Structures
Zandehshahvar, M., Kiarashinejad, Y., Zhu, M., Maleki, H., Brown, T., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures XII (SPIE, p. PC120100W)
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Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity
Kiarashinejad, Y., Zandehshahvar, M., Zhu, M., Maleki, H., Brown, T., Adibi, A.
Acs Photonics, 9(2), pp.714-721
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Systems and Methods for Enhanced Engineering Design and Optimization
Kiarashinejad, Y., Abdollahramezani, S., Adibi, A., Georgia Tech Research Corp
U.S. Patent Application 17/294,837
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A New Paradigm for Knowledge Discovery and Design in Nanophotonics Based on Artificial Intelligence
Kiarashinejad, Y.
Doctoral dissertation, Georgia Institute of Technology
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Latent Learning for Design and Knowledge Discovery in Nanophotonics
Kiarashi, Y., Zandehshahvar, M., Zhu, M., Maleki, H., Abdollahramezani, S., Brown, T., Barton, R., Adibi, A.
In Metamaterials, Metadevices, and Metasystems 2021 (SPIE, Vol. 11795, p. 1179505)
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Inverse Design of Photonic Nanostructures Using Dimensionality Reduction: Reducing the Computational Complexity
Zandehshahvar, M., Kiarashi, Y., Chen, M., Barton, R., Adibi, A.
Optics Letters, 46(11), pp.2634-2637
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Toward Understanding COVID-19 Pneumonia: A Deep-Learning-Based Approach for Severity Analysis and Monitoring the Disease
Zandehshahvar, M., Kiarashi, Y., Zhu, M., Maleki, H., Abdollahramezani, S., Brown, T., Barton, R., Adibi, A.
Scientific Reports, 11(1), p.11112
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Manifold Learning for Reducing the Design Complexity of Photonic Nanostructures
Zandehshahvar, M., Kiarashi, Y., Zhu, M., Maleki, H., Brown, T., Adibi, A.
In CLEO: QELS_Fundamental Science (Optica Publishing Group, JTu3A-115)
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Breaking the Geometric Complexity of Nanostructures Using Manifold Learning
Zandehshahvar, M., Kiarashi, Y., Zhu, M., Maleki, H., Brown, T., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures XI (SPIE, Vol. 11694, p. 116940S)
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Manifold Learning for Knowledge Discovery and Design in Nanophotonics
Kiarashi, Y., Zandehshahvar, M., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures XI (SPIE, Vol. 11694, p. 116940M)
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Revealing the Hidden Capacity of Artificial Intelligence in Nanoscience: Physics-Driven Metric Learning
Maleki, H., Zandehshahvar, M., Kiarashi, Y., Zhu, M., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures XI (SPIE, Vol. 11694, p. 116940O)
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Dynamic Hybrid Metasurfaces
Abdollahramezani, S., Hemmatyar, O., Taghinejad, M., Taghinejad, H., Kiarashinejad, Y., Zandehshahvar, M., Fan, T., Deshmukh, S., Eftekhar, A.A., Cai, W., Pop, E.
Nano Letters, 21(3), pp.1238-1245
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Accelerating Inverse Design of Nanostructures Using Manifold Learning
Zandehshahvar, M., Kiarashi, Y., Zhu, M., Maleki, H., Hemmatyar, O., Abdollahramezani, S., Pourabolghasem, R., Adibi, A.
NeuRIPS Machine Learning for Engineering and Modeling
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Inverse Design of Nanophotonic Structures Using a Hybrid Dimensionality Reduction Technique
Chen, M., Zandehshahvar, M., Kiarashinejad, Y., Hemmatyar, O., Umapathy, D., Abdollahramezani, S., Adibi, A.
In Frontiers in Optics (Optica Publishing Group, FM2A-1)
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Tunable Nanophotonics Enabled by Chalcogenide Phase-Change Materials
Abdollahramezani, S., Hemmatyar, O., Taghinejad, H., Krasnok, A., Kiarashinejad, Y., Zandehshahvar, M., Alù, A., Adibi, A.
Nanophotonics, 9(5), pp.1189-1241
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Geometric Deep Learning Unlocks the Underlying Physics of Nanostructures
Kiarashinejad, Y., Zandehshahvar, M., Abdollahramezani, S., Hemmatyar, O., Pourabolghasem, R., Adibi, A.
In 2020 Conference on Lasers and Electro-Optics (CLEO)
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Fano Resonant All-Dielectric HfO2 Metasurfaces for Full Color Generation Designed by Deep Learning
Hemmatyar, O., Abdollahramezani, S., Kiarashinejad, Y., Zandehshahvar, M., Adibi, A.
In CLEO: QELS_Fundamental Science (Optica Publishing Group, JW2D-34)
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Cracking the Design Complexity of Nanostructures Using Geometric Deep Learning
Zandehshahvar, M., Kiarashinejad, Y., Hemmatyar, O., Abdollahramezani, S., Pourabolghasem, R., Adibi, A.
In CLEO: Science and Innovations (Optica Publishing Group, SF1R-4)
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Electrically Programmable Phased-Array Antenna Using Phase-Change Materials
Abdollahramezani, S., Kiarashinejad, Y., Hemmatyar, O., Zandehshahvar, M., Adibi, A.
In CLEO: QELS_Fundamental Science (Optica Publishing Group, FW3Q-5)
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Sample-Efficient Machine-Learning Method for Designing Photonic Nanostructures (Conference Presentation)
Zandehshahvar, M., Kiarashinejad, Y., Abdollahramezani, S., Hemmatyar, O., Maleki, H., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures X (SPIE, Vol. 11289, p. 112890O)
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Deep-Learning-Based Design of Fano Resonant HfO2 Metasurfaces for Full Color Generation (Conference Presentation)
Hemmatyar, O., Abdollahramezani, S., Kiarashinejad, Y., Zandehshahvar, M., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures X (SPIE, Vol. 11289, p. 112890F)
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Deep Learning Approach Based on Dimensionality Reduction for Designing Electromagnetic Nanostructures
Kiarashinejad, Y., Abdollahramezani, S., Adibi, A.
npj Computational Materials, 6(1), p.12
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Knowledge Discovery in Nanophotonics Using Geometric Deep Learning
Kiarashinejad, Y., Zandehshahvar, M., Abdollahramezani, S., Hemmatyar, O., Pourabolghasem, R., Adibi, A.
Advanced Intelligent Systems, 2(2), p.1900132
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Dimensionality Reduction Based Method for Design and Optimization of Optical Nanostructures Using Neural Network
Zandehshahvar, M., Hemmatyar, O., Kiarashinejad, Y., Abdollahramezani, S., Adibi, A.
In Frontiers in Optics (Optica Publishing Group, FM5C-2)
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Nanophotonics Design Platform Based on Double-Step Dimensionality Reduction
Kiarashinejad, Y., Abdollahramezani, S., Zandehshahvar, M., Hemmatyar, O., Adibi, A.
In Laser Science (Optica Publishing Group, JTu3A-4)
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Structural Colors by Fano-Resonances Supported in All-Dielectric Metasurfaces Made of HfO2
Hemmatyar, O., Abdollahramezani, S., Kiarashinejad, Y., Zandehshahvar, M., Adibi, A.
In Frontiers in Optics (Optica Publishing Group, FM5C-4)
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Deep Learning Reveals Underlying Physics of Light–Matter Interactions in Nanophotonic Devices
Kiarashinejad, Y., Abdollahramezani, S., Zandehshahvar, M., Hemmatyar, O., Adibi, A.
Advanced Theory and Simulations, 2(9), p.1900088
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Mitigating Inverse Design Complexity of Nano-Antennas Using a Novel Dimensionality Reduction Approach (Conference Presentation)
Kiarashinejad, Y., Abdollahramezani, S., Fan, T., Adibi, A.
In Photonic and Phononic Properties of Engineered Nanostructures IX (SPIE, Vol. 10927, p. 109270C)
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Full Color Generation with Fano-Type Resonant HfO2 Nanopillars Designed by a Deep-Learning Approach
Hemmatyar, O., Abdollahramezani, S., Kiarashinejad, Y., Zandehshahvar, M., Adibi, A.
Nanoscale, 11(44), pp.21266-21274
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